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low_information_score\n", + " is_low_information_issue\n", " \n", " \n", " \n", " \n", " 53050\n", - " True\n", " 0.067975\n", + " True\n", " \n", " \n", " 40875\n", - " True\n", " 0.089929\n", + " True\n", " \n", " \n", " 9594\n", - " True\n", " 0.092601\n", + " True\n", " \n", " \n", " 34825\n", - " True\n", " 0.107744\n", + " True\n", " \n", " \n", " 37530\n", - " True\n", " 0.108516\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " is_low_information_issue low_information_score\n", - "53050 True 0.067975\n", - "40875 True 0.089929\n", - "9594 True 0.092601\n", - "34825 True 0.107744\n", - "37530 True 0.108516" + " low_information_score is_low_information_issue\n", + "53050 0.067975 True\n", + "40875 0.089929 True\n", + "9594 0.092601 True\n", + "34825 0.107744 True\n", + "37530 0.108516 True" ] }, "execution_count": 29, @@ -2507,10 +2507,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.624851Z", - 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"model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_3f14c7dcb14b4ff9b9a6110a6ebeea9a", - "max": 40.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_9d6e31ccf4dd4aceabf442d6436fa02c", - "tabbable": null, - "tooltip": null, - "value": 40.0 - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index 49189d5a3..095bdca3d 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:43.397675Z", - "iopub.status.busy": "2024-07-09T06:25:43.397521Z", - "iopub.status.idle": "2024-07-09T06:25:44.500416Z", - "shell.execute_reply": "2024-07-09T06:25:44.499930Z" + "iopub.execute_input": "2024-07-11T23:29:10.824057Z", + "iopub.status.busy": "2024-07-11T23:29:10.823887Z", + "iopub.status.idle": "2024-07-11T23:29:12.031031Z", + "shell.execute_reply": "2024-07-11T23:29:12.030498Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.503054Z", - "iopub.status.busy": "2024-07-09T06:25:44.502594Z", - "iopub.status.idle": "2024-07-09T06:25:44.520286Z", - "shell.execute_reply": "2024-07-09T06:25:44.519788Z" + "iopub.execute_input": "2024-07-11T23:29:12.033639Z", + "iopub.status.busy": "2024-07-11T23:29:12.033155Z", + "iopub.status.idle": "2024-07-11T23:29:12.052163Z", + "shell.execute_reply": "2024-07-11T23:29:12.051686Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.522768Z", - "iopub.status.busy": "2024-07-09T06:25:44.522335Z", - "iopub.status.idle": "2024-07-09T06:25:44.561412Z", - "shell.execute_reply": "2024-07-09T06:25:44.560787Z" + "iopub.execute_input": "2024-07-11T23:29:12.054816Z", + "iopub.status.busy": "2024-07-11T23:29:12.054264Z", + "iopub.status.idle": "2024-07-11T23:29:12.079654Z", + "shell.execute_reply": "2024-07-11T23:29:12.079070Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.563603Z", - "iopub.status.busy": "2024-07-09T06:25:44.563330Z", - "iopub.status.idle": "2024-07-09T06:25:44.566773Z", - "shell.execute_reply": "2024-07-09T06:25:44.566347Z" + "iopub.execute_input": "2024-07-11T23:29:12.081929Z", + "iopub.status.busy": "2024-07-11T23:29:12.081563Z", + "iopub.status.idle": "2024-07-11T23:29:12.085107Z", + "shell.execute_reply": "2024-07-11T23:29:12.084660Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.568882Z", - "iopub.status.busy": "2024-07-09T06:25:44.568557Z", - "iopub.status.idle": "2024-07-09T06:25:44.576133Z", - "shell.execute_reply": "2024-07-09T06:25:44.575666Z" + "iopub.execute_input": "2024-07-11T23:29:12.087283Z", + "iopub.status.busy": "2024-07-11T23:29:12.086948Z", + "iopub.status.idle": "2024-07-11T23:29:12.094469Z", + "shell.execute_reply": "2024-07-11T23:29:12.093973Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.578213Z", - "iopub.status.busy": "2024-07-09T06:25:44.577888Z", - "iopub.status.idle": "2024-07-09T06:25:44.580359Z", - "shell.execute_reply": "2024-07-09T06:25:44.579938Z" + "iopub.execute_input": "2024-07-11T23:29:12.096716Z", + "iopub.status.busy": "2024-07-11T23:29:12.096370Z", + "iopub.status.idle": "2024-07-11T23:29:12.098921Z", + "shell.execute_reply": "2024-07-11T23:29:12.098460Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.582404Z", - "iopub.status.busy": "2024-07-09T06:25:44.582006Z", - "iopub.status.idle": "2024-07-09T06:25:47.496435Z", - "shell.execute_reply": "2024-07-09T06:25:47.495884Z" + "iopub.execute_input": "2024-07-11T23:29:12.100927Z", + "iopub.status.busy": "2024-07-11T23:29:12.100586Z", + "iopub.status.idle": "2024-07-11T23:29:15.157298Z", + "shell.execute_reply": "2024-07-11T23:29:15.156748Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:47.499186Z", - "iopub.status.busy": "2024-07-09T06:25:47.498702Z", - "iopub.status.idle": "2024-07-09T06:25:47.508351Z", - "shell.execute_reply": "2024-07-09T06:25:47.507924Z" + "iopub.execute_input": "2024-07-11T23:29:15.160076Z", + "iopub.status.busy": "2024-07-11T23:29:15.159676Z", + "iopub.status.idle": "2024-07-11T23:29:15.169455Z", + "shell.execute_reply": "2024-07-11T23:29:15.168985Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:47.510494Z", - "iopub.status.busy": "2024-07-09T06:25:47.510083Z", - "iopub.status.idle": "2024-07-09T06:25:49.420464Z", - "shell.execute_reply": "2024-07-09T06:25:49.419867Z" + "iopub.execute_input": "2024-07-11T23:29:15.171458Z", + "iopub.status.busy": "2024-07-11T23:29:15.171270Z", + "iopub.status.idle": "2024-07-11T23:29:17.248432Z", + "shell.execute_reply": "2024-07-11T23:29:17.247803Z" } }, "outputs": [ @@ -476,10 +476,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.423063Z", - "iopub.status.busy": "2024-07-09T06:25:49.422479Z", - "iopub.status.idle": "2024-07-09T06:25:49.441395Z", - "shell.execute_reply": "2024-07-09T06:25:49.440922Z" + "iopub.execute_input": "2024-07-11T23:29:17.251042Z", + "iopub.status.busy": "2024-07-11T23:29:17.250497Z", + "iopub.status.idle": "2024-07-11T23:29:17.269626Z", + "shell.execute_reply": "2024-07-11T23:29:17.269154Z" }, "scrolled": true }, @@ -609,10 +609,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.443532Z", - "iopub.status.busy": "2024-07-09T06:25:49.443194Z", - "iopub.status.idle": "2024-07-09T06:25:49.451051Z", - "shell.execute_reply": "2024-07-09T06:25:49.450614Z" + "iopub.execute_input": "2024-07-11T23:29:17.271760Z", + "iopub.status.busy": "2024-07-11T23:29:17.271471Z", + "iopub.status.idle": "2024-07-11T23:29:17.279607Z", + "shell.execute_reply": "2024-07-11T23:29:17.279150Z" } }, "outputs": [ @@ -716,10 +716,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.453099Z", - "iopub.status.busy": "2024-07-09T06:25:49.452774Z", - "iopub.status.idle": "2024-07-09T06:25:49.461948Z", - "shell.execute_reply": "2024-07-09T06:25:49.461497Z" + "iopub.execute_input": "2024-07-11T23:29:17.281504Z", + "iopub.status.busy": "2024-07-11T23:29:17.281328Z", + "iopub.status.idle": "2024-07-11T23:29:17.290707Z", + "shell.execute_reply": "2024-07-11T23:29:17.290143Z" } }, "outputs": [ @@ -848,10 +848,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.463968Z", - "iopub.status.busy": "2024-07-09T06:25:49.463653Z", - "iopub.status.idle": "2024-07-09T06:25:49.471593Z", - "shell.execute_reply": "2024-07-09T06:25:49.471011Z" + "iopub.execute_input": "2024-07-11T23:29:17.292917Z", + "iopub.status.busy": "2024-07-11T23:29:17.292506Z", + "iopub.status.idle": "2024-07-11T23:29:17.301043Z", + "shell.execute_reply": "2024-07-11T23:29:17.300462Z" } }, "outputs": [ @@ -965,10 +965,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.473529Z", - "iopub.status.busy": "2024-07-09T06:25:49.473356Z", - "iopub.status.idle": "2024-07-09T06:25:49.482335Z", - "shell.execute_reply": "2024-07-09T06:25:49.481895Z" + "iopub.execute_input": "2024-07-11T23:29:17.303192Z", + "iopub.status.busy": "2024-07-11T23:29:17.302849Z", + "iopub.status.idle": "2024-07-11T23:29:17.311637Z", + "shell.execute_reply": "2024-07-11T23:29:17.311131Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.484408Z", - "iopub.status.busy": "2024-07-09T06:25:49.484080Z", - "iopub.status.idle": "2024-07-09T06:25:49.491499Z", - "shell.execute_reply": "2024-07-09T06:25:49.491016Z" + "iopub.execute_input": "2024-07-11T23:29:17.313719Z", + "iopub.status.busy": "2024-07-11T23:29:17.313369Z", + "iopub.status.idle": "2024-07-11T23:29:17.321018Z", + "shell.execute_reply": "2024-07-11T23:29:17.320556Z" } }, "outputs": [ @@ -1197,10 +1197,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.493531Z", - "iopub.status.busy": "2024-07-09T06:25:49.493203Z", - "iopub.status.idle": "2024-07-09T06:25:49.500767Z", - "shell.execute_reply": "2024-07-09T06:25:49.500318Z" + "iopub.execute_input": "2024-07-11T23:29:17.323211Z", + "iopub.status.busy": "2024-07-11T23:29:17.322859Z", + "iopub.status.idle": "2024-07-11T23:29:17.330611Z", + "shell.execute_reply": "2024-07-11T23:29:17.330145Z" } }, "outputs": [ @@ -1300,10 +1300,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.502816Z", - "iopub.status.busy": "2024-07-09T06:25:49.502476Z", - "iopub.status.idle": "2024-07-09T06:25:49.511060Z", - "shell.execute_reply": "2024-07-09T06:25:49.510478Z" + "iopub.execute_input": "2024-07-11T23:29:17.332743Z", + "iopub.status.busy": "2024-07-11T23:29:17.332399Z", + "iopub.status.idle": "2024-07-11T23:29:17.340578Z", + "shell.execute_reply": "2024-07-11T23:29:17.340099Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index 007861577..07f3d4c80 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:52.110367Z", - "iopub.status.busy": "2024-07-09T06:25:52.110187Z", - "iopub.status.idle": "2024-07-09T06:25:54.784149Z", - "shell.execute_reply": "2024-07-09T06:25:54.783592Z" + "iopub.execute_input": "2024-07-11T23:29:20.296872Z", + "iopub.status.busy": "2024-07-11T23:29:20.296343Z", + "iopub.status.idle": "2024-07-11T23:29:23.099118Z", + "shell.execute_reply": "2024-07-11T23:29:23.098548Z" }, "nbsphinx": "hidden" }, @@ -96,7 +96,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -121,10 +121,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.786763Z", - "iopub.status.busy": "2024-07-09T06:25:54.786450Z", - "iopub.status.idle": "2024-07-09T06:25:54.790234Z", - "shell.execute_reply": "2024-07-09T06:25:54.789808Z" + "iopub.execute_input": "2024-07-11T23:29:23.101716Z", + "iopub.status.busy": "2024-07-11T23:29:23.101242Z", + "iopub.status.idle": "2024-07-11T23:29:23.104460Z", + "shell.execute_reply": "2024-07-11T23:29:23.104010Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.792282Z", - "iopub.status.busy": "2024-07-09T06:25:54.791960Z", - "iopub.status.idle": "2024-07-09T06:25:54.795130Z", - "shell.execute_reply": "2024-07-09T06:25:54.794637Z" + "iopub.execute_input": "2024-07-11T23:29:23.106552Z", + "iopub.status.busy": "2024-07-11T23:29:23.106212Z", + "iopub.status.idle": "2024-07-11T23:29:23.109383Z", + "shell.execute_reply": "2024-07-11T23:29:23.108910Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.797237Z", - "iopub.status.busy": "2024-07-09T06:25:54.796891Z", - "iopub.status.idle": "2024-07-09T06:25:54.839838Z", - "shell.execute_reply": "2024-07-09T06:25:54.839268Z" + "iopub.execute_input": "2024-07-11T23:29:23.111437Z", + "iopub.status.busy": "2024-07-11T23:29:23.111099Z", + "iopub.status.idle": "2024-07-11T23:29:23.137658Z", + "shell.execute_reply": "2024-07-11T23:29:23.137132Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.842013Z", - "iopub.status.busy": "2024-07-09T06:25:54.841618Z", - "iopub.status.idle": "2024-07-09T06:25:54.845269Z", - "shell.execute_reply": "2024-07-09T06:25:54.844799Z" + "iopub.execute_input": "2024-07-11T23:29:23.139775Z", + "iopub.status.busy": "2024-07-11T23:29:23.139424Z", + "iopub.status.idle": "2024-07-11T23:29:23.143084Z", + "shell.execute_reply": "2024-07-11T23:29:23.142550Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'cancel_transfer', 'supported_cards_and_currencies', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'card_about_to_expire', 'getting_spare_card', 'apple_pay_or_google_pay', 'visa_or_mastercard'}\n" + "Classes: {'getting_spare_card', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'card_about_to_expire', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'change_pin'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.847533Z", - "iopub.status.busy": "2024-07-09T06:25:54.847103Z", - "iopub.status.idle": "2024-07-09T06:25:54.850442Z", - "shell.execute_reply": "2024-07-09T06:25:54.849920Z" + "iopub.execute_input": "2024-07-11T23:29:23.145114Z", + "iopub.status.busy": "2024-07-11T23:29:23.144786Z", + "iopub.status.idle": "2024-07-11T23:29:23.147838Z", + "shell.execute_reply": "2024-07-11T23:29:23.147307Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.852582Z", - "iopub.status.busy": "2024-07-09T06:25:54.852188Z", - "iopub.status.idle": "2024-07-09T06:25:59.138875Z", - "shell.execute_reply": "2024-07-09T06:25:59.138241Z" + "iopub.execute_input": "2024-07-11T23:29:23.150007Z", + "iopub.status.busy": "2024-07-11T23:29:23.149602Z", + "iopub.status.idle": "2024-07-11T23:29:26.928577Z", + "shell.execute_reply": "2024-07-11T23:29:26.928014Z" } }, "outputs": [ @@ -416,10 +416,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:59.141607Z", - "iopub.status.busy": "2024-07-09T06:25:59.141219Z", - "iopub.status.idle": "2024-07-09T06:26:00.038840Z", - "shell.execute_reply": "2024-07-09T06:26:00.038252Z" + "iopub.execute_input": "2024-07-11T23:29:26.931127Z", + "iopub.status.busy": "2024-07-11T23:29:26.930936Z", + "iopub.status.idle": "2024-07-11T23:29:27.847526Z", + "shell.execute_reply": "2024-07-11T23:29:27.846929Z" }, "scrolled": true }, @@ -451,10 +451,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:00.041846Z", - "iopub.status.busy": "2024-07-09T06:26:00.041473Z", - "iopub.status.idle": "2024-07-09T06:26:00.044333Z", - "shell.execute_reply": "2024-07-09T06:26:00.043847Z" + "iopub.execute_input": "2024-07-11T23:29:27.850537Z", + "iopub.status.busy": "2024-07-11T23:29:27.850133Z", + "iopub.status.idle": "2024-07-11T23:29:27.853085Z", + "shell.execute_reply": "2024-07-11T23:29:27.852592Z" } }, "outputs": [], @@ -474,10 +474,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:00.046828Z", - "iopub.status.busy": "2024-07-09T06:26:00.046455Z", - "iopub.status.idle": "2024-07-09T06:26:02.001666Z", - "shell.execute_reply": "2024-07-09T06:26:02.000979Z" + "iopub.execute_input": "2024-07-11T23:29:27.856213Z", + "iopub.status.busy": "2024-07-11T23:29:27.855272Z", + "iopub.status.idle": "2024-07-11T23:29:29.866823Z", + "shell.execute_reply": "2024-07-11T23:29:29.866126Z" }, "scrolled": true }, @@ -521,10 +521,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.005648Z", - "iopub.status.busy": "2024-07-09T06:26:02.004357Z", - "iopub.status.idle": "2024-07-09T06:26:02.029990Z", - "shell.execute_reply": "2024-07-09T06:26:02.029487Z" + "iopub.execute_input": "2024-07-11T23:29:29.870725Z", + "iopub.status.busy": "2024-07-11T23:29:29.869329Z", + "iopub.status.idle": "2024-07-11T23:29:29.895368Z", + "shell.execute_reply": "2024-07-11T23:29:29.894852Z" }, "scrolled": true }, @@ -654,10 +654,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.033668Z", - "iopub.status.busy": "2024-07-09T06:26:02.032688Z", - "iopub.status.idle": "2024-07-09T06:26:02.043061Z", - "shell.execute_reply": "2024-07-09T06:26:02.042510Z" + "iopub.execute_input": "2024-07-11T23:29:29.899017Z", + "iopub.status.busy": "2024-07-11T23:29:29.898072Z", + "iopub.status.idle": "2024-07-11T23:29:29.908832Z", + "shell.execute_reply": "2024-07-11T23:29:29.908409Z" }, "scrolled": true }, @@ -767,10 +767,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.045235Z", - "iopub.status.busy": "2024-07-09T06:26:02.044844Z", - "iopub.status.idle": "2024-07-09T06:26:02.049066Z", - "shell.execute_reply": "2024-07-09T06:26:02.048544Z" + "iopub.execute_input": "2024-07-11T23:29:29.911226Z", + "iopub.status.busy": "2024-07-11T23:29:29.910867Z", + "iopub.status.idle": "2024-07-11T23:29:29.915028Z", + "shell.execute_reply": "2024-07-11T23:29:29.914487Z" } }, "outputs": [ @@ -808,10 +808,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.050976Z", - "iopub.status.busy": "2024-07-09T06:26:02.050656Z", - "iopub.status.idle": "2024-07-09T06:26:02.056885Z", - "shell.execute_reply": "2024-07-09T06:26:02.056368Z" + "iopub.execute_input": "2024-07-11T23:29:29.917195Z", + "iopub.status.busy": "2024-07-11T23:29:29.916869Z", + "iopub.status.idle": "2024-07-11T23:29:29.923739Z", + "shell.execute_reply": "2024-07-11T23:29:29.923264Z" } }, "outputs": [ @@ -928,10 +928,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.058842Z", - "iopub.status.busy": "2024-07-09T06:26:02.058553Z", - "iopub.status.idle": "2024-07-09T06:26:02.064989Z", - "shell.execute_reply": "2024-07-09T06:26:02.064469Z" + "iopub.execute_input": "2024-07-11T23:29:29.925794Z", + "iopub.status.busy": "2024-07-11T23:29:29.925460Z", + "iopub.status.idle": "2024-07-11T23:29:29.932321Z", + "shell.execute_reply": "2024-07-11T23:29:29.931877Z" } }, "outputs": [ @@ -1014,10 +1014,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.067209Z", - "iopub.status.busy": "2024-07-09T06:26:02.066773Z", - "iopub.status.idle": "2024-07-09T06:26:02.072793Z", - "shell.execute_reply": "2024-07-09T06:26:02.072374Z" + "iopub.execute_input": "2024-07-11T23:29:29.934353Z", + "iopub.status.busy": "2024-07-11T23:29:29.934032Z", + "iopub.status.idle": "2024-07-11T23:29:29.940266Z", + "shell.execute_reply": "2024-07-11T23:29:29.939810Z" } }, "outputs": [ @@ -1125,10 +1125,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.074940Z", - "iopub.status.busy": "2024-07-09T06:26:02.074490Z", - "iopub.status.idle": "2024-07-09T06:26:02.083051Z", - "shell.execute_reply": "2024-07-09T06:26:02.082510Z" + "iopub.execute_input": "2024-07-11T23:29:29.942354Z", + "iopub.status.busy": "2024-07-11T23:29:29.941996Z", + "iopub.status.idle": "2024-07-11T23:29:29.950445Z", + "shell.execute_reply": "2024-07-11T23:29:29.949967Z" } }, "outputs": [ @@ -1239,10 +1239,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.085157Z", - "iopub.status.busy": "2024-07-09T06:26:02.084826Z", - "iopub.status.idle": "2024-07-09T06:26:02.090319Z", - "shell.execute_reply": "2024-07-09T06:26:02.089787Z" + "iopub.execute_input": "2024-07-11T23:29:29.952513Z", + "iopub.status.busy": "2024-07-11T23:29:29.952188Z", + "iopub.status.idle": "2024-07-11T23:29:29.957603Z", + "shell.execute_reply": "2024-07-11T23:29:29.957060Z" } }, "outputs": [ @@ -1310,10 +1310,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.092426Z", - "iopub.status.busy": "2024-07-09T06:26:02.092121Z", - "iopub.status.idle": "2024-07-09T06:26:02.097472Z", - "shell.execute_reply": "2024-07-09T06:26:02.096931Z" + "iopub.execute_input": "2024-07-11T23:29:29.959629Z", + "iopub.status.busy": "2024-07-11T23:29:29.959314Z", + "iopub.status.idle": "2024-07-11T23:29:29.964736Z", + "shell.execute_reply": "2024-07-11T23:29:29.964255Z" } }, "outputs": [ @@ -1392,10 +1392,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.099674Z", - "iopub.status.busy": "2024-07-09T06:26:02.099271Z", - "iopub.status.idle": "2024-07-09T06:26:02.103221Z", - "shell.execute_reply": "2024-07-09T06:26:02.102687Z" + "iopub.execute_input": "2024-07-11T23:29:29.966832Z", + "iopub.status.busy": "2024-07-11T23:29:29.966514Z", + "iopub.status.idle": "2024-07-11T23:29:29.970167Z", + "shell.execute_reply": "2024-07-11T23:29:29.969608Z" } }, "outputs": [ @@ -1443,10 +1443,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.105280Z", - "iopub.status.busy": "2024-07-09T06:26:02.104977Z", - "iopub.status.idle": "2024-07-09T06:26:02.110409Z", - "shell.execute_reply": "2024-07-09T06:26:02.109860Z" + "iopub.execute_input": "2024-07-11T23:29:29.972238Z", + "iopub.status.busy": "2024-07-11T23:29:29.971925Z", + "iopub.status.idle": "2024-07-11T23:29:29.977206Z", + "shell.execute_reply": "2024-07-11T23:29:29.976760Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb index 8fba9ce06..ddaeab7a0 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb @@ -38,10 +38,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.359120Z", - "iopub.status.busy": "2024-07-09T06:26:06.358944Z", - "iopub.status.idle": "2024-07-09T06:26:06.770440Z", - "shell.execute_reply": "2024-07-09T06:26:06.769872Z" + "iopub.execute_input": "2024-07-11T23:29:34.388693Z", + "iopub.status.busy": "2024-07-11T23:29:34.388243Z", + "iopub.status.idle": "2024-07-11T23:29:34.820244Z", + "shell.execute_reply": "2024-07-11T23:29:34.819732Z" } }, "outputs": [], @@ -87,10 +87,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.772937Z", - "iopub.status.busy": "2024-07-09T06:26:06.772696Z", - "iopub.status.idle": "2024-07-09T06:26:06.900862Z", - "shell.execute_reply": "2024-07-09T06:26:06.900374Z" + "iopub.execute_input": "2024-07-11T23:29:34.822803Z", + "iopub.status.busy": "2024-07-11T23:29:34.822517Z", + "iopub.status.idle": "2024-07-11T23:29:34.952962Z", + "shell.execute_reply": "2024-07-11T23:29:34.952397Z" } }, "outputs": [ @@ -181,10 +181,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.903167Z", - "iopub.status.busy": "2024-07-09T06:26:06.902756Z", - "iopub.status.idle": "2024-07-09T06:26:06.925318Z", - "shell.execute_reply": "2024-07-09T06:26:06.924766Z" + "iopub.execute_input": "2024-07-11T23:29:34.955366Z", + "iopub.status.busy": "2024-07-11T23:29:34.954953Z", + "iopub.status.idle": "2024-07-11T23:29:34.978058Z", + "shell.execute_reply": "2024-07-11T23:29:34.977499Z" } }, "outputs": [], @@ -210,10 +210,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.927949Z", - "iopub.status.busy": "2024-07-09T06:26:06.927455Z", - "iopub.status.idle": "2024-07-09T06:26:09.660674Z", - "shell.execute_reply": "2024-07-09T06:26:09.660045Z" + "iopub.execute_input": "2024-07-11T23:29:34.981010Z", + "iopub.status.busy": "2024-07-11T23:29:34.980418Z", + "iopub.status.idle": "2024-07-11T23:29:37.818083Z", + "shell.execute_reply": "2024-07-11T23:29:37.817473Z" } }, "outputs": [ @@ -280,7 +280,7 @@ " \n", " 2\n", " outlier\n", - " 0.356959\n", + " 0.356958\n", " 362\n", " \n", " \n", @@ -315,7 +315,7 @@ " issue_type score num_issues\n", "0 null 1.000000 0\n", "1 label 0.991400 52\n", - "2 outlier 0.356959 362\n", + "2 outlier 0.356958 362\n", "3 near_duplicate 0.619565 108\n", "4 non_iid 0.000000 1\n", "5 class_imbalance 0.500000 0\n", @@ -700,10 +700,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:09.663103Z", - "iopub.status.busy": "2024-07-09T06:26:09.662695Z", - "iopub.status.idle": "2024-07-09T06:26:17.697818Z", - "shell.execute_reply": "2024-07-09T06:26:17.697224Z" + "iopub.execute_input": "2024-07-11T23:29:37.820720Z", + "iopub.status.busy": "2024-07-11T23:29:37.820301Z", + "iopub.status.idle": "2024-07-11T23:29:46.721138Z", + "shell.execute_reply": "2024-07-11T23:29:46.720568Z" } }, "outputs": [ @@ -804,10 +804,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:17.700276Z", - "iopub.status.busy": "2024-07-09T06:26:17.699925Z", - "iopub.status.idle": "2024-07-09T06:26:17.841746Z", - "shell.execute_reply": "2024-07-09T06:26:17.841256Z" + "iopub.execute_input": "2024-07-11T23:29:46.723367Z", + "iopub.status.busy": "2024-07-11T23:29:46.723076Z", + "iopub.status.idle": "2024-07-11T23:29:46.891124Z", + "shell.execute_reply": "2024-07-11T23:29:46.890449Z" } }, "outputs": [], @@ -838,10 +838,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:17.844287Z", - "iopub.status.busy": "2024-07-09T06:26:17.843913Z", - "iopub.status.idle": "2024-07-09T06:26:19.164893Z", - "shell.execute_reply": "2024-07-09T06:26:19.164379Z" + "iopub.execute_input": "2024-07-11T23:29:46.893627Z", + "iopub.status.busy": "2024-07-11T23:29:46.893433Z", + "iopub.status.idle": "2024-07-11T23:29:48.221557Z", + "shell.execute_reply": "2024-07-11T23:29:48.220967Z" } }, "outputs": [ @@ -1000,10 +1000,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.167019Z", - "iopub.status.busy": "2024-07-09T06:26:19.166813Z", - "iopub.status.idle": "2024-07-09T06:26:19.597782Z", - "shell.execute_reply": "2024-07-09T06:26:19.597208Z" + "iopub.execute_input": "2024-07-11T23:29:48.224013Z", + "iopub.status.busy": "2024-07-11T23:29:48.223550Z", + "iopub.status.idle": "2024-07-11T23:29:48.654330Z", + "shell.execute_reply": "2024-07-11T23:29:48.653634Z" } }, "outputs": [ @@ -1082,10 +1082,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.600017Z", - "iopub.status.busy": "2024-07-09T06:26:19.599671Z", - "iopub.status.idle": "2024-07-09T06:26:19.608754Z", - "shell.execute_reply": "2024-07-09T06:26:19.608320Z" + "iopub.execute_input": "2024-07-11T23:29:48.657912Z", + "iopub.status.busy": "2024-07-11T23:29:48.656773Z", + "iopub.status.idle": "2024-07-11T23:29:48.671443Z", + "shell.execute_reply": "2024-07-11T23:29:48.670980Z" } }, "outputs": [], @@ -1115,10 +1115,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.610758Z", - "iopub.status.busy": "2024-07-09T06:26:19.610582Z", - "iopub.status.idle": "2024-07-09T06:26:19.629174Z", - "shell.execute_reply": "2024-07-09T06:26:19.628714Z" + "iopub.execute_input": "2024-07-11T23:29:48.673923Z", + "iopub.status.busy": "2024-07-11T23:29:48.673416Z", + "iopub.status.idle": "2024-07-11T23:29:48.696644Z", + "shell.execute_reply": "2024-07-11T23:29:48.696128Z" } }, "outputs": [], @@ -1146,10 +1146,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.631274Z", - "iopub.status.busy": "2024-07-09T06:26:19.630949Z", - "iopub.status.idle": "2024-07-09T06:26:19.855473Z", - "shell.execute_reply": "2024-07-09T06:26:19.854937Z" + "iopub.execute_input": "2024-07-11T23:29:48.699194Z", + "iopub.status.busy": "2024-07-11T23:29:48.698804Z", + "iopub.status.idle": "2024-07-11T23:29:48.914081Z", + "shell.execute_reply": "2024-07-11T23:29:48.913445Z" } }, "outputs": [], @@ -1189,10 +1189,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.857897Z", - "iopub.status.busy": "2024-07-09T06:26:19.857717Z", - "iopub.status.idle": "2024-07-09T06:26:19.876254Z", - "shell.execute_reply": "2024-07-09T06:26:19.875785Z" + "iopub.execute_input": "2024-07-11T23:29:48.916790Z", + "iopub.status.busy": "2024-07-11T23:29:48.916597Z", + "iopub.status.idle": "2024-07-11T23:29:48.936552Z", + "shell.execute_reply": "2024-07-11T23:29:48.935965Z" } }, "outputs": [ @@ -1390,10 +1390,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.878330Z", - "iopub.status.busy": "2024-07-09T06:26:19.878123Z", - "iopub.status.idle": "2024-07-09T06:26:20.020972Z", - "shell.execute_reply": "2024-07-09T06:26:20.020418Z" + "iopub.execute_input": "2024-07-11T23:29:48.938784Z", + "iopub.status.busy": "2024-07-11T23:29:48.938602Z", + "iopub.status.idle": "2024-07-11T23:29:49.079693Z", + "shell.execute_reply": "2024-07-11T23:29:49.079099Z" } }, "outputs": [ @@ -1460,10 +1460,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.023234Z", - "iopub.status.busy": "2024-07-09T06:26:20.023054Z", - "iopub.status.idle": "2024-07-09T06:26:20.033881Z", - "shell.execute_reply": "2024-07-09T06:26:20.033455Z" + "iopub.execute_input": "2024-07-11T23:29:49.082200Z", + "iopub.status.busy": "2024-07-11T23:29:49.081832Z", + "iopub.status.idle": "2024-07-11T23:29:49.092133Z", + "shell.execute_reply": "2024-07-11T23:29:49.091672Z" } }, "outputs": [ @@ -1729,10 +1729,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.036017Z", - "iopub.status.busy": "2024-07-09T06:26:20.035683Z", - "iopub.status.idle": "2024-07-09T06:26:20.045307Z", - "shell.execute_reply": "2024-07-09T06:26:20.044756Z" + "iopub.execute_input": "2024-07-11T23:29:49.094406Z", + "iopub.status.busy": "2024-07-11T23:29:49.093977Z", + "iopub.status.idle": "2024-07-11T23:29:49.103812Z", + "shell.execute_reply": "2024-07-11T23:29:49.103299Z" } }, "outputs": [ @@ -1919,10 +1919,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.047404Z", - "iopub.status.busy": "2024-07-09T06:26:20.047075Z", - "iopub.status.idle": "2024-07-09T06:26:20.077571Z", - "shell.execute_reply": "2024-07-09T06:26:20.077104Z" + "iopub.execute_input": "2024-07-11T23:29:49.106037Z", + "iopub.status.busy": "2024-07-11T23:29:49.105658Z", + "iopub.status.idle": "2024-07-11T23:29:49.131276Z", + "shell.execute_reply": "2024-07-11T23:29:49.130801Z" } }, "outputs": [], @@ -1956,10 +1956,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.079806Z", - "iopub.status.busy": "2024-07-09T06:26:20.079460Z", - "iopub.status.idle": "2024-07-09T06:26:20.082272Z", - "shell.execute_reply": "2024-07-09T06:26:20.081824Z" + "iopub.execute_input": "2024-07-11T23:29:49.133375Z", + "iopub.status.busy": "2024-07-11T23:29:49.133028Z", + "iopub.status.idle": "2024-07-11T23:29:49.135659Z", + "shell.execute_reply": "2024-07-11T23:29:49.135214Z" } }, "outputs": [], @@ -1981,10 +1981,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.084214Z", - "iopub.status.busy": "2024-07-09T06:26:20.083951Z", - "iopub.status.idle": "2024-07-09T06:26:20.103369Z", - "shell.execute_reply": "2024-07-09T06:26:20.102920Z" + "iopub.execute_input": "2024-07-11T23:29:49.137850Z", + "iopub.status.busy": "2024-07-11T23:29:49.137522Z", + "iopub.status.idle": "2024-07-11T23:29:49.156578Z", + "shell.execute_reply": "2024-07-11T23:29:49.156118Z" } }, "outputs": [ @@ -2142,10 +2142,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.105637Z", - "iopub.status.busy": "2024-07-09T06:26:20.105313Z", - "iopub.status.idle": "2024-07-09T06:26:20.109592Z", - "shell.execute_reply": "2024-07-09T06:26:20.109129Z" + "iopub.execute_input": "2024-07-11T23:29:49.158760Z", + "iopub.status.busy": "2024-07-11T23:29:49.158427Z", + "iopub.status.idle": "2024-07-11T23:29:49.162423Z", + "shell.execute_reply": "2024-07-11T23:29:49.161916Z" } }, "outputs": [], @@ -2178,10 +2178,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.111735Z", - "iopub.status.busy": "2024-07-09T06:26:20.111418Z", - "iopub.status.idle": "2024-07-09T06:26:20.140670Z", - "shell.execute_reply": "2024-07-09T06:26:20.140161Z" + "iopub.execute_input": "2024-07-11T23:29:49.164478Z", + "iopub.status.busy": "2024-07-11T23:29:49.164146Z", + "iopub.status.idle": "2024-07-11T23:29:49.192739Z", + "shell.execute_reply": "2024-07-11T23:29:49.192148Z" } }, "outputs": [ @@ -2327,10 +2327,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.143010Z", - "iopub.status.busy": "2024-07-09T06:26:20.142558Z", - "iopub.status.idle": "2024-07-09T06:26:20.467470Z", - "shell.execute_reply": "2024-07-09T06:26:20.466812Z" + "iopub.execute_input": "2024-07-11T23:29:49.195027Z", + "iopub.status.busy": "2024-07-11T23:29:49.194661Z", + "iopub.status.idle": "2024-07-11T23:29:49.516815Z", + "shell.execute_reply": "2024-07-11T23:29:49.516256Z" } }, "outputs": [ @@ -2397,10 +2397,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.469860Z", - "iopub.status.busy": "2024-07-09T06:26:20.469461Z", - "iopub.status.idle": "2024-07-09T06:26:20.472834Z", - "shell.execute_reply": "2024-07-09T06:26:20.472304Z" + "iopub.execute_input": "2024-07-11T23:29:49.519151Z", + "iopub.status.busy": "2024-07-11T23:29:49.518813Z", + "iopub.status.idle": "2024-07-11T23:29:49.522168Z", + "shell.execute_reply": "2024-07-11T23:29:49.521578Z" } }, "outputs": [ @@ -2451,10 +2451,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.474846Z", - "iopub.status.busy": "2024-07-09T06:26:20.474545Z", - "iopub.status.idle": "2024-07-09T06:26:20.487539Z", - "shell.execute_reply": "2024-07-09T06:26:20.487103Z" + "iopub.execute_input": "2024-07-11T23:29:49.524223Z", + "iopub.status.busy": "2024-07-11T23:29:49.523940Z", + "iopub.status.idle": "2024-07-11T23:29:49.536864Z", + "shell.execute_reply": "2024-07-11T23:29:49.536400Z" } }, "outputs": [ @@ -2733,10 +2733,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.489598Z", - "iopub.status.busy": "2024-07-09T06:26:20.489254Z", - "iopub.status.idle": "2024-07-09T06:26:20.502494Z", - "shell.execute_reply": "2024-07-09T06:26:20.502059Z" + "iopub.execute_input": "2024-07-11T23:29:49.538963Z", + "iopub.status.busy": "2024-07-11T23:29:49.538622Z", + "iopub.status.idle": "2024-07-11T23:29:49.551843Z", + "shell.execute_reply": "2024-07-11T23:29:49.551377Z" } }, "outputs": [ @@ -3003,10 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"shell.execute_reply": "2024-07-11T23:29:49.574713Z" } }, "outputs": [ @@ -3206,10 +3206,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.527730Z", - "iopub.status.busy": "2024-07-09T06:26:20.527427Z", - "iopub.status.idle": "2024-07-09T06:26:20.531215Z", - "shell.execute_reply": "2024-07-09T06:26:20.530643Z" + "iopub.execute_input": "2024-07-11T23:29:49.577281Z", + "iopub.status.busy": "2024-07-11T23:29:49.577106Z", + "iopub.status.idle": "2024-07-11T23:29:49.580982Z", + "shell.execute_reply": "2024-07-11T23:29:49.580413Z" } }, "outputs": [], @@ -3241,10 +3241,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.533369Z", - "iopub.status.busy": "2024-07-09T06:26:20.532978Z", - "iopub.status.idle": "2024-07-09T06:26:20.584716Z", - "shell.execute_reply": "2024-07-09T06:26:20.584160Z" + "iopub.execute_input": "2024-07-11T23:29:49.583231Z", + "iopub.status.busy": 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 AgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_scoreAgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_score
8nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
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460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
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"layout": "IPY_MODEL_0f799df441bb4d05a6a28c61f333f046", + "layout": "IPY_MODEL_29ec8c96537842dda2eee61d045980d9", "placeholder": "​", - "style": "IPY_MODEL_dee7e34112e0456e8e72f2a3ac0efa77", + "style": "IPY_MODEL_7716b3c7d54a4b74b576940fa9abe6f8", "tabbable": null, "tooltip": null, - "value": " 200/200 [00:00<00:00, 681.83it/s]" + "value": "100%" } }, - "b3b4bdc005f14648a26d1a16f3cf9fbf": { + "85e722e3d05e47ab92a2075cb222a274": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "8cbd637e03ab4440bd7d7ca81683dd9a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -4880,7 +4841,30 @@ "text_color": null } }, - 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"layout": "IPY_MODEL_59f5cfbd0629486ba546f97d01ea7fed", + "layout": "IPY_MODEL_756874159a5f4e59a3cec73032e792f9", "max": 200.0, "min": 0.0, "orientation": "horizontal", - "style": "IPY_MODEL_75e04c762f744d54adf55d90a052c562", + "style": "IPY_MODEL_28363288b46145ac826217aa4b9fc129", "tabbable": null, "tooltip": null, "value": 200.0 } }, - "ea4f3639cd404344b740181a60e6dfe1": { + "b5aba43e968e4b2ea8b352bd6ce4b411": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_31bd0ebee4be4b6995b1299029dfd4ba", - "IPY_MODEL_37549aa8f96049628f56685e9b488f6c", - "IPY_MODEL_a58aa13dc64e47faa0cc93bb6652151b" - ], - "layout": "IPY_MODEL_ef0ce0626f2f42ccab835c3082d23f11", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_dc8144a4608441f5baad14d16d57786b", + "placeholder": "​", + "style": "IPY_MODEL_0a9eba41d6f74ab3b9a89d65ca44485e", "tabbable": null, - "tooltip": null + "tooltip": null, + "value": "100%" } }, - "ef0ce0626f2f42ccab835c3082d23f11": { + "c66bba991f14433797a8e6e861762595": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5095,7 +5045,7 @@ "width": null } }, - "f9df9fb0ad7f4fe6b179e8db8621c60f": { + "dc8144a4608441f5baad14d16d57786b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5147,6 +5097,48 @@ "visibility": null, "width": null } + }, + "e7f294d203864e0e9c5f6c2b4e5fb3d0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ebd7ac91367148e2afe6a27320bdd648": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7d6d49ce25f0419788eb3168606f568d", + "IPY_MODEL_b3715480365745f09fda9c8cb652a538", + "IPY_MODEL_8e817c3d82cd42f2812de96ecc4a20b5" + ], + "layout": "IPY_MODEL_64b6b27f928d436ba4403ed9f9c61077", + "tabbable": null, + "tooltip": null + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb index b7c82c939..25a1a7095 100644 --- a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:32.925528Z", - "iopub.status.busy": "2024-07-09T06:26:32.925364Z", - "iopub.status.idle": "2024-07-09T06:26:34.040278Z", - "shell.execute_reply": "2024-07-09T06:26:34.039721Z" + "iopub.execute_input": "2024-07-11T23:30:03.202811Z", + "iopub.status.busy": "2024-07-11T23:30:03.202303Z", + "iopub.status.idle": "2024-07-11T23:30:04.351501Z", + "shell.execute_reply": "2024-07-11T23:30:04.350951Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.042937Z", - "iopub.status.busy": "2024-07-09T06:26:34.042544Z", - "iopub.status.idle": "2024-07-09T06:26:34.045384Z", - "shell.execute_reply": "2024-07-09T06:26:34.044944Z" + "iopub.execute_input": "2024-07-11T23:30:04.354210Z", + "iopub.status.busy": "2024-07-11T23:30:04.353666Z", + "iopub.status.idle": "2024-07-11T23:30:04.356586Z", + "shell.execute_reply": "2024-07-11T23:30:04.356113Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.047662Z", - "iopub.status.busy": "2024-07-09T06:26:34.047230Z", - "iopub.status.idle": "2024-07-09T06:26:34.058799Z", - "shell.execute_reply": "2024-07-09T06:26:34.058355Z" + "iopub.execute_input": "2024-07-11T23:30:04.358687Z", + "iopub.status.busy": "2024-07-11T23:30:04.358503Z", + "iopub.status.idle": "2024-07-11T23:30:04.370267Z", + "shell.execute_reply": "2024-07-11T23:30:04.369774Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.060975Z", - "iopub.status.busy": "2024-07-09T06:26:34.060630Z", - "iopub.status.idle": "2024-07-09T06:26:39.033668Z", - "shell.execute_reply": "2024-07-09T06:26:39.033084Z" + "iopub.execute_input": "2024-07-11T23:30:04.372297Z", + "iopub.status.busy": "2024-07-11T23:30:04.371969Z", + "iopub.status.idle": "2024-07-11T23:30:09.431431Z", + "shell.execute_reply": "2024-07-11T23:30:09.430933Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index 593067553..c2e042b26 100644 --- a/master/.doctrees/nbsphinx/tutorials/faq.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:41.303187Z", - "iopub.status.busy": "2024-07-09T06:26:41.302823Z", - "iopub.status.idle": "2024-07-09T06:26:42.450257Z", - "shell.execute_reply": "2024-07-09T06:26:42.449747Z" + "iopub.execute_input": "2024-07-11T23:30:11.597225Z", + "iopub.status.busy": "2024-07-11T23:30:11.597046Z", + "iopub.status.idle": "2024-07-11T23:30:12.748736Z", + "shell.execute_reply": "2024-07-11T23:30:12.748108Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:42.453168Z", - "iopub.status.busy": "2024-07-09T06:26:42.452624Z", - "iopub.status.idle": "2024-07-09T06:26:42.456109Z", - "shell.execute_reply": "2024-07-09T06:26:42.455577Z" + "iopub.execute_input": "2024-07-11T23:30:12.751671Z", + "iopub.status.busy": "2024-07-11T23:30:12.751390Z", + "iopub.status.idle": "2024-07-11T23:30:12.754832Z", + "shell.execute_reply": "2024-07-11T23:30:12.754358Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:42.458324Z", - "iopub.status.busy": "2024-07-09T06:26:42.457999Z", - "iopub.status.idle": "2024-07-09T06:26:45.758135Z", - "shell.execute_reply": "2024-07-09T06:26:45.757518Z" + "iopub.execute_input": "2024-07-11T23:30:12.756788Z", + "iopub.status.busy": "2024-07-11T23:30:12.756605Z", + "iopub.status.idle": "2024-07-11T23:30:16.158299Z", + "shell.execute_reply": "2024-07-11T23:30:16.157575Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.761341Z", - "iopub.status.busy": "2024-07-09T06:26:45.760502Z", - "iopub.status.idle": "2024-07-09T06:26:45.799809Z", - "shell.execute_reply": "2024-07-09T06:26:45.799118Z" + "iopub.execute_input": "2024-07-11T23:30:16.161420Z", + "iopub.status.busy": "2024-07-11T23:30:16.160692Z", + "iopub.status.idle": "2024-07-11T23:30:16.206630Z", + "shell.execute_reply": "2024-07-11T23:30:16.205967Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.802392Z", - "iopub.status.busy": "2024-07-09T06:26:45.802142Z", - "iopub.status.idle": "2024-07-09T06:26:45.837536Z", - "shell.execute_reply": "2024-07-09T06:26:45.836818Z" + "iopub.execute_input": "2024-07-11T23:30:16.209182Z", + "iopub.status.busy": "2024-07-11T23:30:16.208927Z", + "iopub.status.idle": "2024-07-11T23:30:16.250637Z", + "shell.execute_reply": "2024-07-11T23:30:16.249848Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - 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"_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/improving_ml_performance.ipynb b/master/.doctrees/nbsphinx/tutorials/improving_ml_performance.ipynb index 1a1804c33..5bc7a9322 100644 --- a/master/.doctrees/nbsphinx/tutorials/improving_ml_performance.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/improving_ml_performance.ipynb @@ -62,10 +62,10 @@ "id": "2d638465", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:53.572917Z", - "iopub.status.busy": "2024-07-09T06:26:53.572738Z", - "iopub.status.idle": "2024-07-09T06:26:54.710376Z", - "shell.execute_reply": "2024-07-09T06:26:54.709717Z" + "iopub.execute_input": "2024-07-11T23:30:23.188652Z", + "iopub.status.busy": "2024-07-11T23:30:23.188483Z", + "iopub.status.idle": "2024-07-11T23:30:24.378195Z", + "shell.execute_reply": "2024-07-11T23:30:24.377594Z" }, "nbsphinx": "hidden" }, @@ -75,7 +75,7 @@ "dependencies = [\"cleanlab\", \"xgboost\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -101,10 +101,10 @@ "id": "b0bbf715-47c6-44ea-b15e-89800e62ee04", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.713150Z", - "iopub.status.busy": "2024-07-09T06:26:54.712711Z", - "iopub.status.idle": "2024-07-09T06:26:54.717207Z", - "shell.execute_reply": "2024-07-09T06:26:54.716666Z" + "iopub.execute_input": "2024-07-11T23:30:24.380776Z", + "iopub.status.busy": "2024-07-11T23:30:24.380375Z", + "iopub.status.idle": "2024-07-11T23:30:24.384076Z", + "shell.execute_reply": "2024-07-11T23:30:24.383621Z" } }, "outputs": [], @@ -142,10 +142,10 @@ "id": "c58f8015-d051-411c-9e03-5659cf3ad956", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.719478Z", - 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"iopub.execute_input": "2024-07-09T06:26:54.952888Z", - "iopub.status.busy": "2024-07-09T06:26:54.952594Z", - "iopub.status.idle": "2024-07-09T06:26:55.016618Z", - "shell.execute_reply": "2024-07-09T06:26:55.015980Z" + "iopub.execute_input": "2024-07-11T23:30:24.699250Z", + "iopub.status.busy": "2024-07-11T23:30:24.698915Z", + "iopub.status.idle": "2024-07-11T23:30:24.764580Z", + "shell.execute_reply": "2024-07-11T23:30:24.763955Z" } }, "outputs": [ @@ -611,10 +611,10 @@ "id": "6cef169e-d15b-4d18-9cb7-8ea589557e6b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.019431Z", - "iopub.status.busy": "2024-07-09T06:26:55.018865Z", - "iopub.status.idle": "2024-07-09T06:26:55.029533Z", - "shell.execute_reply": "2024-07-09T06:26:55.029057Z" + "iopub.execute_input": "2024-07-11T23:30:24.767272Z", + "iopub.status.busy": "2024-07-11T23:30:24.767059Z", + "iopub.status.idle": "2024-07-11T23:30:24.779673Z", + "shell.execute_reply": "2024-07-11T23:30:24.779172Z" } }, "outputs": [ @@ -726,10 +726,10 @@ "id": "b68e0418-86cf-431f-9107-2dd0a310ca42", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.032677Z", - "iopub.status.busy": "2024-07-09T06:26:55.031768Z", - "iopub.status.idle": "2024-07-09T06:26:55.053007Z", - "shell.execute_reply": "2024-07-09T06:26:55.052525Z" + "iopub.execute_input": "2024-07-11T23:30:24.783317Z", + "iopub.status.busy": "2024-07-11T23:30:24.782169Z", + "iopub.status.idle": "2024-07-11T23:30:24.804583Z", + "shell.execute_reply": "2024-07-11T23:30:24.803960Z" } }, "outputs": [ @@ -933,10 +933,10 @@ "id": "0e9bd131-429f-48af-b4fc-ed8b907950b9", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.056439Z", - "iopub.status.busy": "2024-07-09T06:26:55.055527Z", - "iopub.status.idle": "2024-07-09T06:26:55.061337Z", - "shell.execute_reply": "2024-07-09T06:26:55.060850Z" + "iopub.execute_input": "2024-07-11T23:30:24.807330Z", + "iopub.status.busy": "2024-07-11T23:30:24.806950Z", + "iopub.status.idle": "2024-07-11T23:30:24.812849Z", + "shell.execute_reply": "2024-07-11T23:30:24.812354Z" } }, "outputs": [ @@ -970,10 +970,10 @@ "id": "e72320ec-7792-4347-b2fb-630f2519127c", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.064742Z", - "iopub.status.busy": "2024-07-09T06:26:55.063844Z", - "iopub.status.idle": "2024-07-09T06:26:55.069832Z", - "shell.execute_reply": "2024-07-09T06:26:55.069351Z" + "iopub.execute_input": "2024-07-11T23:30:24.815713Z", + "iopub.status.busy": "2024-07-11T23:30:24.815334Z", + "iopub.status.idle": "2024-07-11T23:30:24.821427Z", + "shell.execute_reply": "2024-07-11T23:30:24.820928Z" } }, "outputs": [ @@ -1007,10 +1007,10 @@ "id": "8520ba4a-3ad6-408a-b377-3f47c32d745a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.073279Z", - "iopub.status.busy": "2024-07-09T06:26:55.072375Z", - "iopub.status.idle": "2024-07-09T06:26:55.083605Z", - "shell.execute_reply": "2024-07-09T06:26:55.083211Z" + "iopub.execute_input": "2024-07-11T23:30:24.824377Z", + "iopub.status.busy": "2024-07-11T23:30:24.823898Z", + "iopub.status.idle": "2024-07-11T23:30:24.833236Z", + "shell.execute_reply": "2024-07-11T23:30:24.832804Z" } }, "outputs": [ @@ -1207,10 +1207,10 @@ "id": "3c002665-c48b-4f04-91f7-ad112a49efc7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.086287Z", - "iopub.status.busy": "2024-07-09T06:26:55.085572Z", - "iopub.status.idle": "2024-07-09T06:26:55.090541Z", - "shell.execute_reply": "2024-07-09T06:26:55.090006Z" + "iopub.execute_input": "2024-07-11T23:30:24.835400Z", + "iopub.status.busy": "2024-07-11T23:30:24.835046Z", + "iopub.status.idle": "2024-07-11T23:30:24.839604Z", + "shell.execute_reply": "2024-07-11T23:30:24.839197Z" } }, "outputs": [], @@ -1236,10 +1236,10 @@ "id": "36319f39-f563-4f63-913f-821373180350", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.092949Z", - "iopub.status.busy": "2024-07-09T06:26:55.092629Z", - "iopub.status.idle": "2024-07-09T06:26:55.197433Z", - "shell.execute_reply": "2024-07-09T06:26:55.196909Z" + "iopub.execute_input": "2024-07-11T23:30:24.841836Z", + "iopub.status.busy": "2024-07-11T23:30:24.841401Z", + "iopub.status.idle": "2024-07-11T23:30:24.954300Z", + "shell.execute_reply": "2024-07-11T23:30:24.953648Z" } }, "outputs": [ @@ -1713,10 +1713,10 @@ "id": "044c0eb1-299a-4851-b1bf-268d5bce56c1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.199599Z", - "iopub.status.busy": "2024-07-09T06:26:55.199328Z", - "iopub.status.idle": "2024-07-09T06:26:55.205311Z", - "shell.execute_reply": "2024-07-09T06:26:55.204815Z" + "iopub.execute_input": "2024-07-11T23:30:24.957030Z", + "iopub.status.busy": "2024-07-11T23:30:24.956636Z", + "iopub.status.idle": "2024-07-11T23:30:24.963863Z", + "shell.execute_reply": "2024-07-11T23:30:24.963368Z" } }, "outputs": [], @@ -1740,10 +1740,10 @@ "id": "c43df278-abfe-40e5-9d48-2df3efea9379", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:55.207624Z", - "iopub.status.busy": "2024-07-09T06:26:55.207315Z", - "iopub.status.idle": "2024-07-09T06:26:57.128251Z", - "shell.execute_reply": "2024-07-09T06:26:57.127642Z" + "iopub.execute_input": "2024-07-11T23:30:24.966401Z", + "iopub.status.busy": "2024-07-11T23:30:24.966004Z", + "iopub.status.idle": "2024-07-11T23:30:27.020806Z", + "shell.execute_reply": "2024-07-11T23:30:27.020161Z" } }, "outputs": [ @@ -1955,10 +1955,10 @@ "id": "77c7f776-54b3-45b5-9207-715d6d2e90c0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.131390Z", - "iopub.status.busy": "2024-07-09T06:26:57.130806Z", - "iopub.status.idle": "2024-07-09T06:26:57.144118Z", - "shell.execute_reply": "2024-07-09T06:26:57.143599Z" + "iopub.execute_input": "2024-07-11T23:30:27.024340Z", + "iopub.status.busy": "2024-07-11T23:30:27.023084Z", + "iopub.status.idle": "2024-07-11T23:30:27.038209Z", + "shell.execute_reply": "2024-07-11T23:30:27.037679Z" } }, "outputs": [ @@ -2075,10 +2075,10 @@ "id": "7e218d04-0729-4f42-b264-51c73601ebe6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.146831Z", - "iopub.status.busy": "2024-07-09T06:26:57.146463Z", - "iopub.status.idle": "2024-07-09T06:26:57.149377Z", - "shell.execute_reply": "2024-07-09T06:26:57.148891Z" + "iopub.execute_input": "2024-07-11T23:30:27.041739Z", + "iopub.status.busy": "2024-07-11T23:30:27.040786Z", + "iopub.status.idle": "2024-07-11T23:30:27.044827Z", + "shell.execute_reply": "2024-07-11T23:30:27.044330Z" } }, "outputs": [], @@ -2092,10 +2092,10 @@ "id": "7e2bdb41-321e-4929-aa01-1f60948b9e8b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.151654Z", - "iopub.status.busy": "2024-07-09T06:26:57.151283Z", - "iopub.status.idle": "2024-07-09T06:26:57.155840Z", - "shell.execute_reply": "2024-07-09T06:26:57.155317Z" + "iopub.execute_input": "2024-07-11T23:30:27.048287Z", + "iopub.status.busy": "2024-07-11T23:30:27.047359Z", + "iopub.status.idle": "2024-07-11T23:30:27.052926Z", + "shell.execute_reply": "2024-07-11T23:30:27.052408Z" } }, "outputs": [], @@ -2119,10 +2119,10 @@ "id": "5ce2d89f-e832-448d-bfac-9941da15c895", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.158157Z", - "iopub.status.busy": "2024-07-09T06:26:57.157788Z", - "iopub.status.idle": "2024-07-09T06:26:57.167772Z", - "shell.execute_reply": "2024-07-09T06:26:57.167300Z" + "iopub.execute_input": "2024-07-11T23:30:27.056436Z", + "iopub.status.busy": "2024-07-11T23:30:27.055503Z", + "iopub.status.idle": "2024-07-11T23:30:27.067420Z", + "shell.execute_reply": "2024-07-11T23:30:27.066930Z" } }, "outputs": [ @@ -2162,10 +2162,10 @@ "id": "9f437756-112e-4531-84fc-6ceadd0c9ef5", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.170046Z", - "iopub.status.busy": "2024-07-09T06:26:57.169694Z", - "iopub.status.idle": "2024-07-09T06:26:57.642079Z", - "shell.execute_reply": "2024-07-09T06:26:57.641537Z" + "iopub.execute_input": "2024-07-11T23:30:27.070842Z", + "iopub.status.busy": "2024-07-11T23:30:27.069889Z", + "iopub.status.idle": "2024-07-11T23:30:27.609004Z", + "shell.execute_reply": "2024-07-11T23:30:27.608435Z" } }, "outputs": [], @@ -2196,10 +2196,10 @@ "id": "707625f6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.644886Z", - "iopub.status.busy": "2024-07-09T06:26:57.644506Z", - "iopub.status.idle": "2024-07-09T06:26:57.765208Z", - "shell.execute_reply": "2024-07-09T06:26:57.764592Z" + "iopub.execute_input": "2024-07-11T23:30:27.612582Z", + "iopub.status.busy": "2024-07-11T23:30:27.611508Z", + "iopub.status.idle": "2024-07-11T23:30:27.747332Z", + "shell.execute_reply": "2024-07-11T23:30:27.746630Z" } }, "outputs": [ @@ -2410,10 +2410,10 @@ "id": "25afe46c-a521-483c-b168-728c76d970dc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.767934Z", - "iopub.status.busy": "2024-07-09T06:26:57.767539Z", - "iopub.status.idle": "2024-07-09T06:26:57.774227Z", - "shell.execute_reply": "2024-07-09T06:26:57.773733Z" + "iopub.execute_input": "2024-07-11T23:30:27.751147Z", + "iopub.status.busy": "2024-07-11T23:30:27.750174Z", + "iopub.status.idle": "2024-07-11T23:30:27.758952Z", + "shell.execute_reply": "2024-07-11T23:30:27.758433Z" } }, "outputs": [ @@ -2443,10 +2443,10 @@ "id": "6efcf06f-cc40-4964-87df-5204d3b1b9d4", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.777381Z", - "iopub.status.busy": "2024-07-09T06:26:57.776332Z", - "iopub.status.idle": "2024-07-09T06:26:57.784838Z", - "shell.execute_reply": "2024-07-09T06:26:57.784346Z" + "iopub.execute_input": "2024-07-11T23:30:27.762558Z", + "iopub.status.busy": "2024-07-11T23:30:27.761599Z", + "iopub.status.idle": "2024-07-11T23:30:27.769609Z", + "shell.execute_reply": "2024-07-11T23:30:27.769099Z" } }, "outputs": [ @@ -2479,10 +2479,10 @@ "id": "7bc87d72-bbd5-4ed2-bc38-2218862ddfbd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.788740Z", - "iopub.status.busy": "2024-07-09T06:26:57.787559Z", - "iopub.status.idle": "2024-07-09T06:26:57.795543Z", - "shell.execute_reply": "2024-07-09T06:26:57.795055Z" + "iopub.execute_input": "2024-07-11T23:30:27.773109Z", + "iopub.status.busy": "2024-07-11T23:30:27.772177Z", + "iopub.status.idle": "2024-07-11T23:30:27.779528Z", + "shell.execute_reply": "2024-07-11T23:30:27.779029Z" } }, "outputs": [ @@ -2515,10 +2515,10 @@ "id": "9c70be3e-0ba2-4e3e-8c50-359d402ca1fe", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.799183Z", - "iopub.status.busy": "2024-07-09T06:26:57.798006Z", - "iopub.status.idle": "2024-07-09T06:26:57.804472Z", - "shell.execute_reply": "2024-07-09T06:26:57.803989Z" + "iopub.execute_input": "2024-07-11T23:30:27.783001Z", + "iopub.status.busy": "2024-07-11T23:30:27.782081Z", + "iopub.status.idle": "2024-07-11T23:30:27.788134Z", + "shell.execute_reply": "2024-07-11T23:30:27.787639Z" } }, "outputs": [ @@ -2544,10 +2544,10 @@ "id": "08080458-0cd7-447d-80e6-384cb8d31eaf", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.808096Z", - "iopub.status.busy": "2024-07-09T06:26:57.807195Z", - "iopub.status.idle": "2024-07-09T06:26:57.812308Z", - "shell.execute_reply": "2024-07-09T06:26:57.811777Z" + "iopub.execute_input": "2024-07-11T23:30:27.790681Z", + "iopub.status.busy": "2024-07-11T23:30:27.790503Z", + "iopub.status.idle": "2024-07-11T23:30:27.796116Z", + "shell.execute_reply": "2024-07-11T23:30:27.795499Z" } }, "outputs": [], @@ -2571,10 +2571,10 @@ "id": "009bb215-4d26-47da-a230-d0ccf4122629", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.814541Z", - "iopub.status.busy": "2024-07-09T06:26:57.814291Z", - "iopub.status.idle": "2024-07-09T06:26:57.894429Z", - "shell.execute_reply": "2024-07-09T06:26:57.893893Z" + "iopub.execute_input": "2024-07-11T23:30:27.798287Z", + "iopub.status.busy": "2024-07-11T23:30:27.798109Z", + "iopub.status.idle": "2024-07-11T23:30:27.878742Z", + "shell.execute_reply": "2024-07-11T23:30:27.878179Z" } }, "outputs": [ @@ -3054,10 +3054,10 @@ "id": "dcaeda51-9b24-4c04-889d-7e63563594fc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.896631Z", - "iopub.status.busy": "2024-07-09T06:26:57.896354Z", - "iopub.status.idle": "2024-07-09T06:26:57.906205Z", - "shell.execute_reply": "2024-07-09T06:26:57.905633Z" + "iopub.execute_input": "2024-07-11T23:30:27.881131Z", + "iopub.status.busy": "2024-07-11T23:30:27.880774Z", + "iopub.status.idle": "2024-07-11T23:30:27.890590Z", + "shell.execute_reply": "2024-07-11T23:30:27.890042Z" } }, "outputs": [ @@ -3113,10 +3113,10 @@ "id": "1d92d78d-e4a8-4322-bf38-f5a5dae3bf17", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.910159Z", - "iopub.status.busy": "2024-07-09T06:26:57.909684Z", - "iopub.status.idle": "2024-07-09T06:26:57.912488Z", - "shell.execute_reply": "2024-07-09T06:26:57.912033Z" + "iopub.execute_input": "2024-07-11T23:30:27.893705Z", + "iopub.status.busy": "2024-07-11T23:30:27.892918Z", + "iopub.status.idle": "2024-07-11T23:30:27.896299Z", + "shell.execute_reply": "2024-07-11T23:30:27.895855Z" } }, "outputs": [], @@ -3152,10 +3152,10 @@ "id": "941ab2a6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.914998Z", - "iopub.status.busy": "2024-07-09T06:26:57.914575Z", - "iopub.status.idle": "2024-07-09T06:26:57.923907Z", - "shell.execute_reply": "2024-07-09T06:26:57.923469Z" + "iopub.execute_input": "2024-07-11T23:30:27.898408Z", + "iopub.status.busy": "2024-07-11T23:30:27.898077Z", + "iopub.status.idle": "2024-07-11T23:30:27.908114Z", + "shell.execute_reply": "2024-07-11T23:30:27.907670Z" } }, "outputs": [], @@ -3261,10 +3261,10 @@ "id": "50666fb9", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.925928Z", - "iopub.status.busy": "2024-07-09T06:26:57.925621Z", - "iopub.status.idle": "2024-07-09T06:26:57.932179Z", - "shell.execute_reply": "2024-07-09T06:26:57.931737Z" + "iopub.execute_input": "2024-07-11T23:30:27.910112Z", + "iopub.status.busy": "2024-07-11T23:30:27.909895Z", + "iopub.status.idle": "2024-07-11T23:30:27.916369Z", + "shell.execute_reply": "2024-07-11T23:30:27.915911Z" }, "nbsphinx": "hidden" }, @@ -3346,10 +3346,10 @@ "id": "f5aa2883-d20d-481f-a012-fcc7ff8e3e7e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.934245Z", - "iopub.status.busy": "2024-07-09T06:26:57.933861Z", - "iopub.status.idle": "2024-07-09T06:26:57.937104Z", - "shell.execute_reply": "2024-07-09T06:26:57.936671Z" + "iopub.execute_input": "2024-07-11T23:30:27.918412Z", + "iopub.status.busy": "2024-07-11T23:30:27.918060Z", + "iopub.status.idle": "2024-07-11T23:30:27.921488Z", + "shell.execute_reply": "2024-07-11T23:30:27.921009Z" } }, "outputs": [], @@ -3373,10 +3373,10 @@ "id": "ce1c0ada-88b1-4654-b43f-3c0b59002979", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.938975Z", - "iopub.status.busy": "2024-07-09T06:26:57.938647Z", - "iopub.status.idle": "2024-07-09T06:27:01.641872Z", - "shell.execute_reply": "2024-07-09T06:27:01.641360Z" + "iopub.execute_input": "2024-07-11T23:30:27.923536Z", + "iopub.status.busy": "2024-07-11T23:30:27.923220Z", + "iopub.status.idle": "2024-07-11T23:30:31.984648Z", + "shell.execute_reply": "2024-07-11T23:30:31.984103Z" } }, "outputs": [ @@ -3419,10 +3419,10 @@ "id": "3f572acf-31c3-4874-9100-451796e35b06", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:01.644959Z", - "iopub.status.busy": "2024-07-09T06:27:01.644089Z", - "iopub.status.idle": "2024-07-09T06:27:01.648019Z", - "shell.execute_reply": "2024-07-09T06:27:01.647564Z" + "iopub.execute_input": "2024-07-11T23:30:31.988318Z", + "iopub.status.busy": "2024-07-11T23:30:31.987392Z", + "iopub.status.idle": "2024-07-11T23:30:31.991474Z", + "shell.execute_reply": "2024-07-11T23:30:31.991025Z" } }, "outputs": [ @@ -3460,10 +3460,10 @@ "id": "6a025a88", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:01.649958Z", - "iopub.status.busy": "2024-07-09T06:27:01.649677Z", - "iopub.status.idle": "2024-07-09T06:27:01.652295Z", - "shell.execute_reply": "2024-07-09T06:27:01.651802Z" + "iopub.execute_input": "2024-07-11T23:30:31.993646Z", + "iopub.status.busy": "2024-07-11T23:30:31.993285Z", + "iopub.status.idle": "2024-07-11T23:30:31.997047Z", + "shell.execute_reply": "2024-07-11T23:30:31.996453Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index e7571dfc6..bbdde88ee 100644 --- a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:04.830463Z", - "iopub.status.busy": "2024-07-09T06:27:04.830294Z", - "iopub.status.idle": "2024-07-09T06:27:06.025206Z", - "shell.execute_reply": "2024-07-09T06:27:06.024596Z" + "iopub.execute_input": "2024-07-11T23:30:35.264803Z", + "iopub.status.busy": "2024-07-11T23:30:35.264307Z", + "iopub.status.idle": "2024-07-11T23:30:36.493496Z", + "shell.execute_reply": "2024-07-11T23:30:36.492965Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.027800Z", - "iopub.status.busy": "2024-07-09T06:27:06.027471Z", - "iopub.status.idle": "2024-07-09T06:27:06.212766Z", - "shell.execute_reply": "2024-07-09T06:27:06.212206Z" + "iopub.execute_input": "2024-07-11T23:30:36.496092Z", + "iopub.status.busy": "2024-07-11T23:30:36.495634Z", + "iopub.status.idle": "2024-07-11T23:30:36.685025Z", + "shell.execute_reply": "2024-07-11T23:30:36.684501Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.215365Z", - "iopub.status.busy": "2024-07-09T06:27:06.215033Z", - "iopub.status.idle": "2024-07-09T06:27:06.226517Z", - "shell.execute_reply": "2024-07-09T06:27:06.226088Z" + "iopub.execute_input": "2024-07-11T23:30:36.687632Z", + "iopub.status.busy": "2024-07-11T23:30:36.687336Z", + "iopub.status.idle": "2024-07-11T23:30:36.699138Z", + "shell.execute_reply": "2024-07-11T23:30:36.698702Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.228721Z", - "iopub.status.busy": "2024-07-09T06:27:06.228284Z", - "iopub.status.idle": "2024-07-09T06:27:06.463202Z", - "shell.execute_reply": "2024-07-09T06:27:06.462603Z" + "iopub.execute_input": "2024-07-11T23:30:36.701167Z", + "iopub.status.busy": "2024-07-11T23:30:36.700820Z", + "iopub.status.idle": "2024-07-11T23:30:36.942197Z", + "shell.execute_reply": "2024-07-11T23:30:36.941542Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.465737Z", - "iopub.status.busy": "2024-07-09T06:27:06.465380Z", - "iopub.status.idle": "2024-07-09T06:27:06.491353Z", - "shell.execute_reply": "2024-07-09T06:27:06.490841Z" + "iopub.execute_input": "2024-07-11T23:30:36.944497Z", + "iopub.status.busy": "2024-07-11T23:30:36.944303Z", + "iopub.status.idle": "2024-07-11T23:30:36.970585Z", + "shell.execute_reply": "2024-07-11T23:30:36.970080Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.493408Z", - "iopub.status.busy": "2024-07-09T06:27:06.493075Z", - "iopub.status.idle": "2024-07-09T06:27:08.559484Z", - "shell.execute_reply": "2024-07-09T06:27:08.558857Z" + "iopub.execute_input": "2024-07-11T23:30:36.972931Z", + "iopub.status.busy": "2024-07-11T23:30:36.972732Z", + "iopub.status.idle": "2024-07-11T23:30:39.218576Z", + "shell.execute_reply": "2024-07-11T23:30:39.217861Z" } }, "outputs": [ @@ -474,10 +474,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:08.561982Z", - "iopub.status.busy": "2024-07-09T06:27:08.561454Z", - "iopub.status.idle": "2024-07-09T06:27:08.579506Z", - "shell.execute_reply": "2024-07-09T06:27:08.578938Z" + "iopub.execute_input": "2024-07-11T23:30:39.221370Z", + "iopub.status.busy": "2024-07-11T23:30:39.220809Z", + "iopub.status.idle": "2024-07-11T23:30:39.239032Z", + "shell.execute_reply": "2024-07-11T23:30:39.238501Z" }, "scrolled": true }, @@ -607,10 +607,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:08.581768Z", - "iopub.status.busy": "2024-07-09T06:27:08.581433Z", - "iopub.status.idle": "2024-07-09T06:27:10.041147Z", - "shell.execute_reply": "2024-07-09T06:27:10.040535Z" + "iopub.execute_input": "2024-07-11T23:30:39.241335Z", + "iopub.status.busy": "2024-07-11T23:30:39.240848Z", + "iopub.status.idle": "2024-07-11T23:30:40.875594Z", + "shell.execute_reply": "2024-07-11T23:30:40.874942Z" }, "id": "AaHC5MRKjruT" }, @@ -729,10 +729,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.043766Z", - "iopub.status.busy": "2024-07-09T06:27:10.043148Z", - "iopub.status.idle": "2024-07-09T06:27:10.056923Z", - "shell.execute_reply": "2024-07-09T06:27:10.056388Z" + "iopub.execute_input": "2024-07-11T23:30:40.878730Z", + "iopub.status.busy": "2024-07-11T23:30:40.877863Z", + "iopub.status.idle": "2024-07-11T23:30:40.891772Z", + "shell.execute_reply": "2024-07-11T23:30:40.891273Z" }, "id": "Wy27rvyhjruU" }, @@ -781,10 +781,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.059184Z", - "iopub.status.busy": "2024-07-09T06:27:10.058724Z", - "iopub.status.idle": "2024-07-09T06:27:10.131352Z", - "shell.execute_reply": "2024-07-09T06:27:10.130748Z" + "iopub.execute_input": "2024-07-11T23:30:40.894007Z", + "iopub.status.busy": "2024-07-11T23:30:40.893665Z", + "iopub.status.idle": "2024-07-11T23:30:40.981651Z", + "shell.execute_reply": "2024-07-11T23:30:40.981069Z" }, "id": "Db8YHnyVjruU" }, @@ -891,10 +891,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.133987Z", - "iopub.status.busy": "2024-07-09T06:27:10.133447Z", - "iopub.status.idle": "2024-07-09T06:27:10.342019Z", - "shell.execute_reply": "2024-07-09T06:27:10.341476Z" + "iopub.execute_input": "2024-07-11T23:30:40.984135Z", + "iopub.status.busy": "2024-07-11T23:30:40.983728Z", + "iopub.status.idle": "2024-07-11T23:30:41.195885Z", + "shell.execute_reply": "2024-07-11T23:30:41.195212Z" }, "id": "iJqAHuS2jruV" }, @@ -931,10 +931,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.344306Z", - "iopub.status.busy": "2024-07-09T06:27:10.343957Z", - "iopub.status.idle": "2024-07-09T06:27:10.361242Z", - "shell.execute_reply": "2024-07-09T06:27:10.360779Z" + "iopub.execute_input": "2024-07-11T23:30:41.198369Z", + "iopub.status.busy": "2024-07-11T23:30:41.197997Z", + "iopub.status.idle": "2024-07-11T23:30:41.215862Z", + "shell.execute_reply": "2024-07-11T23:30:41.215283Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1400,10 +1400,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.363517Z", - "iopub.status.busy": "2024-07-09T06:27:10.363117Z", - "iopub.status.idle": "2024-07-09T06:27:10.372893Z", - "shell.execute_reply": "2024-07-09T06:27:10.372453Z" + "iopub.execute_input": "2024-07-11T23:30:41.218216Z", + "iopub.status.busy": "2024-07-11T23:30:41.217763Z", + "iopub.status.idle": "2024-07-11T23:30:41.227794Z", + "shell.execute_reply": "2024-07-11T23:30:41.227344Z" }, "id": "0lonvOYvjruV" }, @@ -1550,10 +1550,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.375119Z", - "iopub.status.busy": "2024-07-09T06:27:10.374773Z", - "iopub.status.idle": "2024-07-09T06:27:10.461355Z", - "shell.execute_reply": "2024-07-09T06:27:10.460793Z" + "iopub.execute_input": "2024-07-11T23:30:41.229840Z", + "iopub.status.busy": "2024-07-11T23:30:41.229567Z", + "iopub.status.idle": "2024-07-11T23:30:41.328903Z", + "shell.execute_reply": "2024-07-11T23:30:41.328287Z" }, "id": "MfqTCa3kjruV" }, @@ -1634,10 +1634,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.463772Z", - "iopub.status.busy": "2024-07-09T06:27:10.463410Z", - "iopub.status.idle": "2024-07-09T06:27:10.595934Z", - "shell.execute_reply": "2024-07-09T06:27:10.595287Z" + "iopub.execute_input": "2024-07-11T23:30:41.331534Z", + "iopub.status.busy": "2024-07-11T23:30:41.331213Z", + "iopub.status.idle": "2024-07-11T23:30:41.475505Z", + "shell.execute_reply": "2024-07-11T23:30:41.474914Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1697,10 +1697,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.598470Z", - "iopub.status.busy": "2024-07-09T06:27:10.598089Z", - "iopub.status.idle": "2024-07-09T06:27:10.601819Z", - "shell.execute_reply": "2024-07-09T06:27:10.601299Z" + "iopub.execute_input": "2024-07-11T23:30:41.478006Z", + "iopub.status.busy": "2024-07-11T23:30:41.477608Z", + "iopub.status.idle": "2024-07-11T23:30:41.481745Z", + "shell.execute_reply": "2024-07-11T23:30:41.481221Z" }, "id": "0rXP3ZPWjruW" }, @@ -1738,10 +1738,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.603912Z", - "iopub.status.busy": "2024-07-09T06:27:10.603638Z", - "iopub.status.idle": "2024-07-09T06:27:10.607432Z", - "shell.execute_reply": "2024-07-09T06:27:10.606860Z" + "iopub.execute_input": "2024-07-11T23:30:41.483979Z", + "iopub.status.busy": "2024-07-11T23:30:41.483636Z", + "iopub.status.idle": "2024-07-11T23:30:41.487356Z", + "shell.execute_reply": "2024-07-11T23:30:41.486793Z" }, "id": "-iRPe8KXjruW" }, @@ -1796,10 +1796,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.609489Z", - "iopub.status.busy": "2024-07-09T06:27:10.609167Z", - "iopub.status.idle": "2024-07-09T06:27:10.645674Z", - "shell.execute_reply": "2024-07-09T06:27:10.645104Z" + "iopub.execute_input": "2024-07-11T23:30:41.489482Z", + "iopub.status.busy": "2024-07-11T23:30:41.489145Z", + "iopub.status.idle": "2024-07-11T23:30:41.525559Z", + "shell.execute_reply": "2024-07-11T23:30:41.525078Z" }, "id": "ZpipUliyjruW" }, @@ -1850,10 +1850,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.647737Z", - "iopub.status.busy": "2024-07-09T06:27:10.647426Z", - "iopub.status.idle": "2024-07-09T06:27:10.688357Z", - "shell.execute_reply": "2024-07-09T06:27:10.687867Z" + "iopub.execute_input": "2024-07-11T23:30:41.527582Z", + "iopub.status.busy": "2024-07-11T23:30:41.527331Z", + "iopub.status.idle": "2024-07-11T23:30:41.568384Z", + "shell.execute_reply": "2024-07-11T23:30:41.567799Z" }, "id": "SLq-3q4xjruX" }, @@ -1922,10 +1922,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.690497Z", - "iopub.status.busy": "2024-07-09T06:27:10.690152Z", - "iopub.status.idle": "2024-07-09T06:27:10.784906Z", - "shell.execute_reply": "2024-07-09T06:27:10.784195Z" + "iopub.execute_input": "2024-07-11T23:30:41.570470Z", + "iopub.status.busy": "2024-07-11T23:30:41.570127Z", + "iopub.status.idle": "2024-07-11T23:30:41.675540Z", + "shell.execute_reply": "2024-07-11T23:30:41.674905Z" }, "id": "g5LHhhuqFbXK" }, @@ -1957,10 +1957,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.787438Z", - "iopub.status.busy": "2024-07-09T06:27:10.787205Z", - "iopub.status.idle": "2024-07-09T06:27:10.875324Z", - "shell.execute_reply": "2024-07-09T06:27:10.874533Z" + "iopub.execute_input": "2024-07-11T23:30:41.678360Z", + "iopub.status.busy": "2024-07-11T23:30:41.677952Z", + "iopub.status.idle": "2024-07-11T23:30:41.789805Z", + "shell.execute_reply": "2024-07-11T23:30:41.789236Z" }, "id": "p7w8F8ezBcet" }, @@ -2017,10 +2017,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.877938Z", - "iopub.status.busy": "2024-07-09T06:27:10.877489Z", - "iopub.status.idle": "2024-07-09T06:27:11.089399Z", - "shell.execute_reply": "2024-07-09T06:27:11.088722Z" + "iopub.execute_input": "2024-07-11T23:30:41.792356Z", + "iopub.status.busy": "2024-07-11T23:30:41.791985Z", + "iopub.status.idle": "2024-07-11T23:30:42.004049Z", + "shell.execute_reply": "2024-07-11T23:30:42.003388Z" }, "id": "WETRL74tE_sU" }, @@ -2055,10 +2055,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.091873Z", - "iopub.status.busy": "2024-07-09T06:27:11.091658Z", - "iopub.status.idle": "2024-07-09T06:27:11.278736Z", - "shell.execute_reply": "2024-07-09T06:27:11.278122Z" + "iopub.execute_input": "2024-07-11T23:30:42.006376Z", + "iopub.status.busy": "2024-07-11T23:30:42.006024Z", + "iopub.status.idle": "2024-07-11T23:30:42.245802Z", + "shell.execute_reply": "2024-07-11T23:30:42.245141Z" }, "id": "kCfdx2gOLmXS" }, @@ -2220,10 +2220,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.281105Z", - "iopub.status.busy": "2024-07-09T06:27:11.280730Z", - "iopub.status.idle": "2024-07-09T06:27:11.286566Z", - "shell.execute_reply": "2024-07-09T06:27:11.286117Z" + "iopub.execute_input": "2024-07-11T23:30:42.248377Z", + "iopub.status.busy": "2024-07-11T23:30:42.248113Z", + "iopub.status.idle": "2024-07-11T23:30:42.254532Z", + "shell.execute_reply": "2024-07-11T23:30:42.254003Z" }, "id": "-uogYRWFYnuu" }, @@ -2277,10 +2277,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.288560Z", - "iopub.status.busy": "2024-07-09T06:27:11.288235Z", - "iopub.status.idle": "2024-07-09T06:27:11.502240Z", - "shell.execute_reply": "2024-07-09T06:27:11.501640Z" + "iopub.execute_input": "2024-07-11T23:30:42.256644Z", + "iopub.status.busy": "2024-07-11T23:30:42.256283Z", + "iopub.status.idle": "2024-07-11T23:30:42.476429Z", + "shell.execute_reply": "2024-07-11T23:30:42.475835Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2327,10 +2327,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.504499Z", - "iopub.status.busy": "2024-07-09T06:27:11.504154Z", - "iopub.status.idle": "2024-07-09T06:27:12.558282Z", - "shell.execute_reply": "2024-07-09T06:27:12.557776Z" + "iopub.execute_input": "2024-07-11T23:30:42.478972Z", + "iopub.status.busy": "2024-07-11T23:30:42.478563Z", + "iopub.status.idle": "2024-07-11T23:30:43.537855Z", + "shell.execute_reply": "2024-07-11T23:30:43.537283Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index 345a175cf..88b42a00a 100644 --- a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb @@ -88,10 +88,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:15.909512Z", - "iopub.status.busy": "2024-07-09T06:27:15.909333Z", - "iopub.status.idle": "2024-07-09T06:27:17.025416Z", - "shell.execute_reply": "2024-07-09T06:27:17.024860Z" + "iopub.execute_input": "2024-07-11T23:30:47.295987Z", + "iopub.status.busy": "2024-07-11T23:30:47.295827Z", + "iopub.status.idle": "2024-07-11T23:30:48.446213Z", + "shell.execute_reply": "2024-07-11T23:30:48.445550Z" }, "nbsphinx": "hidden" }, @@ -101,7 +101,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.028078Z", - "iopub.status.busy": "2024-07-09T06:27:17.027788Z", - "iopub.status.idle": "2024-07-09T06:27:17.031022Z", - "shell.execute_reply": "2024-07-09T06:27:17.030547Z" + "iopub.execute_input": "2024-07-11T23:30:48.448907Z", + "iopub.status.busy": "2024-07-11T23:30:48.448611Z", + "iopub.status.idle": "2024-07-11T23:30:48.451812Z", + "shell.execute_reply": "2024-07-11T23:30:48.451267Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.033112Z", - "iopub.status.busy": "2024-07-09T06:27:17.032789Z", - "iopub.status.idle": "2024-07-09T06:27:17.040343Z", - "shell.execute_reply": "2024-07-09T06:27:17.039908Z" + "iopub.execute_input": "2024-07-11T23:30:48.454124Z", + "iopub.status.busy": "2024-07-11T23:30:48.453781Z", + "iopub.status.idle": "2024-07-11T23:30:48.461885Z", + "shell.execute_reply": "2024-07-11T23:30:48.461345Z" }, "nbsphinx": "hidden" }, @@ -350,10 +350,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.042282Z", - "iopub.status.busy": "2024-07-09T06:27:17.041970Z", - "iopub.status.idle": "2024-07-09T06:27:17.094153Z", - "shell.execute_reply": "2024-07-09T06:27:17.093528Z" + "iopub.execute_input": "2024-07-11T23:30:48.463883Z", + "iopub.status.busy": "2024-07-11T23:30:48.463526Z", + "iopub.status.idle": "2024-07-11T23:30:48.511286Z", + "shell.execute_reply": "2024-07-11T23:30:48.510676Z" } }, "outputs": [], @@ -379,10 +379,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.096794Z", - "iopub.status.busy": "2024-07-09T06:27:17.096411Z", - "iopub.status.idle": "2024-07-09T06:27:17.113492Z", - "shell.execute_reply": "2024-07-09T06:27:17.113050Z" + "iopub.execute_input": "2024-07-11T23:30:48.513540Z", + "iopub.status.busy": "2024-07-11T23:30:48.513347Z", + "iopub.status.idle": "2024-07-11T23:30:48.530401Z", + "shell.execute_reply": "2024-07-11T23:30:48.529804Z" } }, "outputs": [ @@ -597,10 +597,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.115656Z", - "iopub.status.busy": "2024-07-09T06:27:17.115325Z", - "iopub.status.idle": "2024-07-09T06:27:17.119055Z", - "shell.execute_reply": "2024-07-09T06:27:17.118574Z" + "iopub.execute_input": "2024-07-11T23:30:48.532498Z", + "iopub.status.busy": "2024-07-11T23:30:48.532194Z", + "iopub.status.idle": "2024-07-11T23:30:48.536102Z", + "shell.execute_reply": "2024-07-11T23:30:48.535541Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.121058Z", - "iopub.status.busy": "2024-07-09T06:27:17.120762Z", - "iopub.status.idle": "2024-07-09T06:27:17.134516Z", - "shell.execute_reply": "2024-07-09T06:27:17.134084Z" + "iopub.execute_input": "2024-07-11T23:30:48.538306Z", + "iopub.status.busy": "2024-07-11T23:30:48.537881Z", + "iopub.status.idle": "2024-07-11T23:30:48.554526Z", + "shell.execute_reply": "2024-07-11T23:30:48.553922Z" } }, "outputs": [], @@ -698,10 +698,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.136707Z", - "iopub.status.busy": "2024-07-09T06:27:17.136279Z", - "iopub.status.idle": "2024-07-09T06:27:17.162081Z", - "shell.execute_reply": "2024-07-09T06:27:17.161647Z" + "iopub.execute_input": "2024-07-11T23:30:48.556499Z", + "iopub.status.busy": "2024-07-11T23:30:48.556180Z", + "iopub.status.idle": "2024-07-11T23:30:48.581772Z", + "shell.execute_reply": "2024-07-11T23:30:48.581203Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.164409Z", - "iopub.status.busy": "2024-07-09T06:27:17.163994Z", - "iopub.status.idle": "2024-07-09T06:27:19.093254Z", - "shell.execute_reply": "2024-07-09T06:27:19.092676Z" + "iopub.execute_input": "2024-07-11T23:30:48.583928Z", + "iopub.status.busy": "2024-07-11T23:30:48.583750Z", + "iopub.status.idle": "2024-07-11T23:30:50.576132Z", + "shell.execute_reply": "2024-07-11T23:30:50.575469Z" } }, "outputs": [], @@ -771,10 +771,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.095800Z", - "iopub.status.busy": "2024-07-09T06:27:19.095336Z", - "iopub.status.idle": "2024-07-09T06:27:19.102192Z", - "shell.execute_reply": "2024-07-09T06:27:19.101750Z" + "iopub.execute_input": "2024-07-11T23:30:50.578713Z", + "iopub.status.busy": "2024-07-11T23:30:50.578434Z", + "iopub.status.idle": "2024-07-11T23:30:50.585273Z", + "shell.execute_reply": "2024-07-11T23:30:50.584817Z" }, "scrolled": true }, @@ -885,10 +885,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.104190Z", - "iopub.status.busy": "2024-07-09T06:27:19.103866Z", - "iopub.status.idle": "2024-07-09T06:27:19.116533Z", - "shell.execute_reply": "2024-07-09T06:27:19.116058Z" + "iopub.execute_input": "2024-07-11T23:30:50.587265Z", + "iopub.status.busy": "2024-07-11T23:30:50.586948Z", + "iopub.status.idle": "2024-07-11T23:30:50.599514Z", + "shell.execute_reply": "2024-07-11T23:30:50.598967Z" } }, "outputs": [ @@ -1138,10 +1138,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.118619Z", - "iopub.status.busy": "2024-07-09T06:27:19.118287Z", - "iopub.status.idle": "2024-07-09T06:27:19.124788Z", - "shell.execute_reply": "2024-07-09T06:27:19.124346Z" + "iopub.execute_input": "2024-07-11T23:30:50.601450Z", + "iopub.status.busy": "2024-07-11T23:30:50.601274Z", + "iopub.status.idle": "2024-07-11T23:30:50.607789Z", + "shell.execute_reply": "2024-07-11T23:30:50.607325Z" }, "scrolled": true }, @@ -1315,10 +1315,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.126835Z", - "iopub.status.busy": "2024-07-09T06:27:19.126514Z", - "iopub.status.idle": "2024-07-09T06:27:19.129039Z", - "shell.execute_reply": "2024-07-09T06:27:19.128622Z" + "iopub.execute_input": "2024-07-11T23:30:50.609671Z", + "iopub.status.busy": "2024-07-11T23:30:50.609501Z", + "iopub.status.idle": "2024-07-11T23:30:50.612205Z", + "shell.execute_reply": "2024-07-11T23:30:50.611751Z" } }, "outputs": [], @@ -1340,10 +1340,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.131096Z", - "iopub.status.busy": "2024-07-09T06:27:19.130774Z", - "iopub.status.idle": "2024-07-09T06:27:19.134005Z", - "shell.execute_reply": "2024-07-09T06:27:19.133516Z" + "iopub.execute_input": "2024-07-11T23:30:50.614165Z", + "iopub.status.busy": "2024-07-11T23:30:50.613975Z", + "iopub.status.idle": "2024-07-11T23:30:50.617541Z", + "shell.execute_reply": "2024-07-11T23:30:50.616991Z" }, "scrolled": true }, @@ -1395,10 +1395,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.136079Z", - "iopub.status.busy": "2024-07-09T06:27:19.135766Z", - "iopub.status.idle": "2024-07-09T06:27:19.138223Z", - "shell.execute_reply": "2024-07-09T06:27:19.137811Z" + "iopub.execute_input": "2024-07-11T23:30:50.619656Z", + "iopub.status.busy": "2024-07-11T23:30:50.619341Z", + "iopub.status.idle": "2024-07-11T23:30:50.622025Z", + "shell.execute_reply": "2024-07-11T23:30:50.621552Z" } }, "outputs": [], @@ -1422,10 +1422,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.140207Z", - "iopub.status.busy": "2024-07-09T06:27:19.139883Z", - "iopub.status.idle": "2024-07-09T06:27:19.144100Z", - "shell.execute_reply": "2024-07-09T06:27:19.143647Z" + "iopub.execute_input": "2024-07-11T23:30:50.623893Z", + "iopub.status.busy": "2024-07-11T23:30:50.623722Z", + "iopub.status.idle": "2024-07-11T23:30:50.627585Z", + "shell.execute_reply": "2024-07-11T23:30:50.627067Z" } }, "outputs": [ @@ -1480,10 +1480,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.146159Z", - "iopub.status.busy": "2024-07-09T06:27:19.145854Z", - "iopub.status.idle": "2024-07-09T06:27:19.174449Z", - "shell.execute_reply": "2024-07-09T06:27:19.173890Z" + "iopub.execute_input": "2024-07-11T23:30:50.629785Z", + "iopub.status.busy": "2024-07-11T23:30:50.629309Z", + "iopub.status.idle": "2024-07-11T23:30:50.657785Z", + "shell.execute_reply": "2024-07-11T23:30:50.657301Z" } }, "outputs": [], @@ -1526,10 +1526,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.177021Z", - "iopub.status.busy": "2024-07-09T06:27:19.176539Z", - "iopub.status.idle": "2024-07-09T06:27:19.181309Z", - "shell.execute_reply": "2024-07-09T06:27:19.180812Z" + "iopub.execute_input": "2024-07-11T23:30:50.659942Z", + "iopub.status.busy": "2024-07-11T23:30:50.659763Z", + "iopub.status.idle": "2024-07-11T23:30:50.664651Z", + "shell.execute_reply": "2024-07-11T23:30:50.664188Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index 9c34ac22c..5b9d1aa9c 100644 --- a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb @@ -64,10 +64,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:22.153886Z", - "iopub.status.busy": "2024-07-09T06:27:22.153426Z", - "iopub.status.idle": "2024-07-09T06:27:23.311889Z", - "shell.execute_reply": "2024-07-09T06:27:23.311338Z" + "iopub.execute_input": "2024-07-11T23:30:53.499408Z", + "iopub.status.busy": "2024-07-11T23:30:53.498925Z", + "iopub.status.idle": "2024-07-11T23:30:54.713257Z", + "shell.execute_reply": "2024-07-11T23:30:54.712684Z" }, "nbsphinx": "hidden" }, @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -105,10 +105,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.314428Z", - "iopub.status.busy": "2024-07-09T06:27:23.313980Z", - "iopub.status.idle": "2024-07-09T06:27:23.508688Z", - "shell.execute_reply": "2024-07-09T06:27:23.508123Z" + "iopub.execute_input": "2024-07-11T23:30:54.715960Z", + "iopub.status.busy": "2024-07-11T23:30:54.715494Z", + "iopub.status.idle": "2024-07-11T23:30:54.911110Z", + "shell.execute_reply": "2024-07-11T23:30:54.910538Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.511393Z", - "iopub.status.busy": "2024-07-09T06:27:23.510929Z", - "iopub.status.idle": "2024-07-09T06:27:23.524862Z", - "shell.execute_reply": "2024-07-09T06:27:23.524396Z" + "iopub.execute_input": "2024-07-11T23:30:54.913779Z", + "iopub.status.busy": "2024-07-11T23:30:54.913342Z", + "iopub.status.idle": "2024-07-11T23:30:54.927108Z", + "shell.execute_reply": "2024-07-11T23:30:54.926525Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.527208Z", - "iopub.status.busy": "2024-07-09T06:27:23.526603Z", - "iopub.status.idle": "2024-07-09T06:27:26.126394Z", - "shell.execute_reply": "2024-07-09T06:27:26.125810Z" + "iopub.execute_input": "2024-07-11T23:30:54.929300Z", + "iopub.status.busy": "2024-07-11T23:30:54.928956Z", + "iopub.status.idle": "2024-07-11T23:30:57.569640Z", + "shell.execute_reply": "2024-07-11T23:30:57.569023Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:26.128599Z", - "iopub.status.busy": "2024-07-09T06:27:26.128270Z", - "iopub.status.idle": "2024-07-09T06:27:27.468768Z", - "shell.execute_reply": "2024-07-09T06:27:27.468127Z" + "iopub.execute_input": "2024-07-11T23:30:57.571786Z", + "iopub.status.busy": "2024-07-11T23:30:57.571597Z", + "iopub.status.idle": "2024-07-11T23:30:58.927539Z", + "shell.execute_reply": "2024-07-11T23:30:58.926898Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:27.471344Z", - "iopub.status.busy": "2024-07-09T06:27:27.471010Z", - "iopub.status.idle": "2024-07-09T06:27:27.475004Z", - "shell.execute_reply": "2024-07-09T06:27:27.474434Z" + "iopub.execute_input": "2024-07-11T23:30:58.930226Z", + "iopub.status.busy": "2024-07-11T23:30:58.929895Z", + "iopub.status.idle": "2024-07-11T23:30:58.933999Z", + "shell.execute_reply": "2024-07-11T23:30:58.933407Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:27.477072Z", - "iopub.status.busy": "2024-07-09T06:27:27.476759Z", - "iopub.status.idle": "2024-07-09T06:27:29.490391Z", - "shell.execute_reply": "2024-07-09T06:27:29.489818Z" + "iopub.execute_input": "2024-07-11T23:30:58.936264Z", + "iopub.status.busy": "2024-07-11T23:30:58.935810Z", + "iopub.status.idle": "2024-07-11T23:31:01.051497Z", + "shell.execute_reply": "2024-07-11T23:31:01.050800Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:29.492995Z", - "iopub.status.busy": "2024-07-09T06:27:29.492468Z", - "iopub.status.idle": "2024-07-09T06:27:29.500292Z", - "shell.execute_reply": "2024-07-09T06:27:29.499734Z" + "iopub.execute_input": "2024-07-11T23:31:01.054451Z", + "iopub.status.busy": "2024-07-11T23:31:01.053799Z", + "iopub.status.idle": "2024-07-11T23:31:01.062436Z", + "shell.execute_reply": "2024-07-11T23:31:01.061749Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:29.502433Z", - "iopub.status.busy": "2024-07-09T06:27:29.502113Z", - "iopub.status.idle": "2024-07-09T06:27:32.049416Z", - "shell.execute_reply": "2024-07-09T06:27:32.048812Z" + "iopub.execute_input": "2024-07-11T23:31:01.064674Z", + "iopub.status.busy": "2024-07-11T23:31:01.064363Z", + "iopub.status.idle": "2024-07-11T23:31:03.653908Z", + "shell.execute_reply": "2024-07-11T23:31:03.653305Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.051592Z", - "iopub.status.busy": "2024-07-09T06:27:32.051401Z", - "iopub.status.idle": "2024-07-09T06:27:32.055077Z", - "shell.execute_reply": "2024-07-09T06:27:32.054480Z" + "iopub.execute_input": "2024-07-11T23:31:03.656129Z", + "iopub.status.busy": "2024-07-11T23:31:03.655803Z", + "iopub.status.idle": "2024-07-11T23:31:03.659489Z", + "shell.execute_reply": "2024-07-11T23:31:03.659017Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.057199Z", - "iopub.status.busy": "2024-07-09T06:27:32.056870Z", - "iopub.status.idle": "2024-07-09T06:27:32.060234Z", - "shell.execute_reply": "2024-07-09T06:27:32.059802Z" + "iopub.execute_input": "2024-07-11T23:31:03.661468Z", + "iopub.status.busy": "2024-07-11T23:31:03.661288Z", + "iopub.status.idle": "2024-07-11T23:31:03.664735Z", + "shell.execute_reply": "2024-07-11T23:31:03.664289Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.062198Z", - "iopub.status.busy": "2024-07-09T06:27:32.061876Z", - "iopub.status.idle": "2024-07-09T06:27:32.065020Z", - "shell.execute_reply": "2024-07-09T06:27:32.064573Z" + "iopub.execute_input": "2024-07-11T23:31:03.666866Z", + "iopub.status.busy": "2024-07-11T23:31:03.666465Z", + "iopub.status.idle": "2024-07-11T23:31:03.669568Z", + "shell.execute_reply": "2024-07-11T23:31:03.669121Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index 949e5b545..5c31a3f55 100644 --- a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:34.654632Z", - "iopub.status.busy": "2024-07-09T06:27:34.654465Z", - "iopub.status.idle": "2024-07-09T06:27:35.815092Z", - "shell.execute_reply": "2024-07-09T06:27:35.814455Z" + "iopub.execute_input": "2024-07-11T23:31:06.312535Z", + "iopub.status.busy": "2024-07-11T23:31:06.312371Z", + "iopub.status.idle": "2024-07-11T23:31:07.505288Z", + "shell.execute_reply": "2024-07-11T23:31:07.504669Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:35.817596Z", - "iopub.status.busy": "2024-07-09T06:27:35.817178Z", - "iopub.status.idle": "2024-07-09T06:27:37.096670Z", - "shell.execute_reply": "2024-07-09T06:27:37.095921Z" + "iopub.execute_input": "2024-07-11T23:31:07.507848Z", + "iopub.status.busy": "2024-07-11T23:31:07.507594Z", + "iopub.status.idle": "2024-07-11T23:31:08.894177Z", + "shell.execute_reply": "2024-07-11T23:31:08.893325Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.099444Z", - "iopub.status.busy": "2024-07-09T06:27:37.099077Z", - "iopub.status.idle": "2024-07-09T06:27:37.102193Z", - "shell.execute_reply": "2024-07-09T06:27:37.101773Z" + "iopub.execute_input": "2024-07-11T23:31:08.896775Z", + "iopub.status.busy": "2024-07-11T23:31:08.896559Z", + "iopub.status.idle": "2024-07-11T23:31:08.900126Z", + "shell.execute_reply": "2024-07-11T23:31:08.899524Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.104293Z", - "iopub.status.busy": "2024-07-09T06:27:37.103979Z", - "iopub.status.idle": "2024-07-09T06:27:37.110147Z", - "shell.execute_reply": "2024-07-09T06:27:37.109740Z" + "iopub.execute_input": "2024-07-11T23:31:08.902112Z", + "iopub.status.busy": "2024-07-11T23:31:08.901832Z", + "iopub.status.idle": "2024-07-11T23:31:08.908384Z", + "shell.execute_reply": "2024-07-11T23:31:08.907838Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.112184Z", - "iopub.status.busy": "2024-07-09T06:27:37.111923Z", - "iopub.status.idle": "2024-07-09T06:27:37.598528Z", - "shell.execute_reply": "2024-07-09T06:27:37.597913Z" + "iopub.execute_input": "2024-07-11T23:31:08.910605Z", + "iopub.status.busy": "2024-07-11T23:31:08.910249Z", + "iopub.status.idle": "2024-07-11T23:31:09.411283Z", + "shell.execute_reply": "2024-07-11T23:31:09.410695Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.601014Z", - "iopub.status.busy": "2024-07-09T06:27:37.600572Z", - "iopub.status.idle": "2024-07-09T06:27:37.605747Z", - "shell.execute_reply": "2024-07-09T06:27:37.605308Z" + "iopub.execute_input": "2024-07-11T23:31:09.414368Z", + "iopub.status.busy": "2024-07-11T23:31:09.413981Z", + "iopub.status.idle": "2024-07-11T23:31:09.419788Z", + "shell.execute_reply": "2024-07-11T23:31:09.419317Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.607641Z", - "iopub.status.busy": "2024-07-09T06:27:37.607468Z", - "iopub.status.idle": "2024-07-09T06:27:37.611290Z", - "shell.execute_reply": "2024-07-09T06:27:37.610844Z" + "iopub.execute_input": "2024-07-11T23:31:09.421817Z", + "iopub.status.busy": "2024-07-11T23:31:09.421488Z", + "iopub.status.idle": "2024-07-11T23:31:09.425424Z", + "shell.execute_reply": "2024-07-11T23:31:09.424966Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.613342Z", - "iopub.status.busy": "2024-07-09T06:27:37.613034Z", - "iopub.status.idle": "2024-07-09T06:27:38.555539Z", - "shell.execute_reply": "2024-07-09T06:27:38.555016Z" + "iopub.execute_input": "2024-07-11T23:31:09.427593Z", + "iopub.status.busy": "2024-07-11T23:31:09.427260Z", + "iopub.status.idle": "2024-07-11T23:31:10.294541Z", + "shell.execute_reply": "2024-07-11T23:31:10.293893Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.557847Z", - "iopub.status.busy": "2024-07-09T06:27:38.557649Z", - "iopub.status.idle": "2024-07-09T06:27:38.851691Z", - "shell.execute_reply": "2024-07-09T06:27:38.851100Z" + "iopub.execute_input": "2024-07-11T23:31:10.296927Z", + "iopub.status.busy": "2024-07-11T23:31:10.296730Z", + "iopub.status.idle": "2024-07-11T23:31:10.506079Z", + "shell.execute_reply": "2024-07-11T23:31:10.505564Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.853964Z", - "iopub.status.busy": "2024-07-09T06:27:38.853618Z", - "iopub.status.idle": "2024-07-09T06:27:38.858060Z", - "shell.execute_reply": "2024-07-09T06:27:38.857615Z" + "iopub.execute_input": "2024-07-11T23:31:10.508127Z", + "iopub.status.busy": "2024-07-11T23:31:10.507934Z", + "iopub.status.idle": "2024-07-11T23:31:10.512343Z", + "shell.execute_reply": "2024-07-11T23:31:10.511877Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.860047Z", - "iopub.status.busy": "2024-07-09T06:27:38.859765Z", - "iopub.status.idle": "2024-07-09T06:27:39.310110Z", - "shell.execute_reply": "2024-07-09T06:27:39.309501Z" + "iopub.execute_input": "2024-07-11T23:31:10.514467Z", + "iopub.status.busy": "2024-07-11T23:31:10.514054Z", + "iopub.status.idle": "2024-07-11T23:31:10.975021Z", + "shell.execute_reply": "2024-07-11T23:31:10.974401Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:39.312865Z", - "iopub.status.busy": "2024-07-09T06:27:39.312462Z", - "iopub.status.idle": "2024-07-09T06:27:39.647092Z", - "shell.execute_reply": "2024-07-09T06:27:39.646475Z" + "iopub.execute_input": "2024-07-11T23:31:10.977943Z", + "iopub.status.busy": "2024-07-11T23:31:10.977756Z", + "iopub.status.idle": "2024-07-11T23:31:11.308934Z", + "shell.execute_reply": "2024-07-11T23:31:11.308366Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:39.649619Z", - "iopub.status.busy": "2024-07-09T06:27:39.649296Z", - "iopub.status.idle": "2024-07-09T06:27:40.011855Z", - "shell.execute_reply": "2024-07-09T06:27:40.011238Z" + "iopub.execute_input": "2024-07-11T23:31:11.311627Z", + "iopub.status.busy": "2024-07-11T23:31:11.311442Z", + "iopub.status.idle": "2024-07-11T23:31:11.651748Z", + "shell.execute_reply": "2024-07-11T23:31:11.651180Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.014685Z", - "iopub.status.busy": "2024-07-09T06:27:40.014328Z", - "iopub.status.idle": "2024-07-09T06:27:40.429827Z", - "shell.execute_reply": "2024-07-09T06:27:40.429292Z" + "iopub.execute_input": "2024-07-11T23:31:11.655199Z", + "iopub.status.busy": "2024-07-11T23:31:11.654833Z", + "iopub.status.idle": "2024-07-11T23:31:12.095624Z", + "shell.execute_reply": "2024-07-11T23:31:12.095061Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.434217Z", - "iopub.status.busy": "2024-07-09T06:27:40.433815Z", - "iopub.status.idle": "2024-07-09T06:27:40.880331Z", - "shell.execute_reply": "2024-07-09T06:27:40.879705Z" + "iopub.execute_input": "2024-07-11T23:31:12.100128Z", + "iopub.status.busy": "2024-07-11T23:31:12.099760Z", + "iopub.status.idle": "2024-07-11T23:31:12.553957Z", + "shell.execute_reply": "2024-07-11T23:31:12.553312Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.882426Z", - "iopub.status.busy": "2024-07-09T06:27:40.882229Z", - "iopub.status.idle": "2024-07-09T06:27:41.097056Z", - "shell.execute_reply": "2024-07-09T06:27:41.096510Z" + "iopub.execute_input": "2024-07-11T23:31:12.556857Z", + "iopub.status.busy": "2024-07-11T23:31:12.556678Z", + "iopub.status.idle": "2024-07-11T23:31:12.770401Z", + "shell.execute_reply": "2024-07-11T23:31:12.769832Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.099352Z", - "iopub.status.busy": "2024-07-09T06:27:41.098978Z", - "iopub.status.idle": "2024-07-09T06:27:41.279647Z", - "shell.execute_reply": "2024-07-09T06:27:41.279135Z" + "iopub.execute_input": "2024-07-11T23:31:12.772555Z", + "iopub.status.busy": "2024-07-11T23:31:12.772363Z", + "iopub.status.idle": "2024-07-11T23:31:12.952525Z", + "shell.execute_reply": "2024-07-11T23:31:12.951899Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.282138Z", - "iopub.status.busy": "2024-07-09T06:27:41.281802Z", - "iopub.status.idle": "2024-07-09T06:27:41.284795Z", - "shell.execute_reply": "2024-07-09T06:27:41.284347Z" + "iopub.execute_input": "2024-07-11T23:31:12.954790Z", + "iopub.status.busy": "2024-07-11T23:31:12.954455Z", + "iopub.status.idle": "2024-07-11T23:31:12.957485Z", + "shell.execute_reply": "2024-07-11T23:31:12.956926Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.286727Z", - "iopub.status.busy": "2024-07-09T06:27:41.286354Z", - "iopub.status.idle": "2024-07-09T06:27:42.233918Z", - "shell.execute_reply": "2024-07-09T06:27:42.233305Z" + "iopub.execute_input": "2024-07-11T23:31:12.959627Z", + "iopub.status.busy": "2024-07-11T23:31:12.959311Z", + "iopub.status.idle": "2024-07-11T23:31:14.006845Z", + "shell.execute_reply": "2024-07-11T23:31:14.006365Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.236357Z", - "iopub.status.busy": "2024-07-09T06:27:42.236129Z", - "iopub.status.idle": "2024-07-09T06:27:42.414922Z", - "shell.execute_reply": "2024-07-09T06:27:42.414319Z" + "iopub.execute_input": "2024-07-11T23:31:14.008900Z", + "iopub.status.busy": "2024-07-11T23:31:14.008713Z", + "iopub.status.idle": "2024-07-11T23:31:14.146793Z", + "shell.execute_reply": "2024-07-11T23:31:14.146295Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.417052Z", - "iopub.status.busy": "2024-07-09T06:27:42.416742Z", - "iopub.status.idle": "2024-07-09T06:27:42.567516Z", - "shell.execute_reply": "2024-07-09T06:27:42.566950Z" + "iopub.execute_input": "2024-07-11T23:31:14.148900Z", + "iopub.status.busy": "2024-07-11T23:31:14.148723Z", + "iopub.status.idle": "2024-07-11T23:31:14.290758Z", + "shell.execute_reply": "2024-07-11T23:31:14.290274Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.569723Z", - "iopub.status.busy": "2024-07-09T06:27:42.569386Z", - "iopub.status.idle": "2024-07-09T06:27:43.238504Z", - "shell.execute_reply": "2024-07-09T06:27:43.237885Z" + "iopub.execute_input": "2024-07-11T23:31:14.292854Z", + "iopub.status.busy": "2024-07-11T23:31:14.292679Z", + "iopub.status.idle": "2024-07-11T23:31:15.038674Z", + "shell.execute_reply": "2024-07-11T23:31:15.038182Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:43.240966Z", - "iopub.status.busy": "2024-07-09T06:27:43.240541Z", - "iopub.status.idle": "2024-07-09T06:27:43.244348Z", - "shell.execute_reply": "2024-07-09T06:27:43.243899Z" + "iopub.execute_input": "2024-07-11T23:31:15.040887Z", + "iopub.status.busy": "2024-07-11T23:31:15.040533Z", + "iopub.status.idle": "2024-07-11T23:31:15.044365Z", + "shell.execute_reply": "2024-07-11T23:31:15.043812Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index 5a34daff0..a03640684 100644 --- a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:45.444339Z", - "iopub.status.busy": "2024-07-09T06:27:45.443934Z", - "iopub.status.idle": "2024-07-09T06:27:48.220490Z", - "shell.execute_reply": "2024-07-09T06:27:48.219850Z" + "iopub.execute_input": "2024-07-11T23:31:17.291877Z", + "iopub.status.busy": "2024-07-11T23:31:17.291695Z", + "iopub.status.idle": "2024-07-11T23:31:20.167105Z", + "shell.execute_reply": "2024-07-11T23:31:20.166523Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.223134Z", - "iopub.status.busy": "2024-07-09T06:27:48.222782Z", - "iopub.status.idle": "2024-07-09T06:27:48.551328Z", - "shell.execute_reply": "2024-07-09T06:27:48.550787Z" + "iopub.execute_input": "2024-07-11T23:31:20.169867Z", + "iopub.status.busy": "2024-07-11T23:31:20.169350Z", + "iopub.status.idle": "2024-07-11T23:31:20.495262Z", + "shell.execute_reply": "2024-07-11T23:31:20.494703Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.553939Z", - "iopub.status.busy": "2024-07-09T06:27:48.553405Z", - "iopub.status.idle": "2024-07-09T06:27:48.557550Z", - "shell.execute_reply": "2024-07-09T06:27:48.557027Z" + "iopub.execute_input": "2024-07-11T23:31:20.497961Z", + "iopub.status.busy": "2024-07-11T23:31:20.497489Z", + "iopub.status.idle": "2024-07-11T23:31:20.501762Z", + "shell.execute_reply": "2024-07-11T23:31:20.501353Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.559562Z", - "iopub.status.busy": "2024-07-09T06:27:48.559266Z", - "iopub.status.idle": "2024-07-09T06:27:53.022684Z", - "shell.execute_reply": "2024-07-09T06:27:53.022093Z" + "iopub.execute_input": "2024-07-11T23:31:20.503814Z", + "iopub.status.busy": "2024-07-11T23:31:20.503635Z", + "iopub.status.idle": "2024-07-11T23:31:24.734562Z", + "shell.execute_reply": "2024-07-11T23:31:24.734040Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 884736/170498071 [00:00<00:20, 8089244.09it/s]" + " 1%|▏ | 2260992/170498071 [00:00<00:07, 22563462.22it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 10289152/170498071 [00:00<00:02, 56739816.87it/s]" + " 8%|▊ | 13991936/170498071 [00:00<00:02, 78087497.12it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 20709376/170498071 [00:00<00:01, 77845103.95it/s]" + " 15%|█▌ | 25722880/170498071 [00:00<00:01, 95869318.12it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 31522816/170498071 [00:00<00:01, 89510002.96it/s]" + " 22%|██▏ | 37453824/170498071 [00:00<00:01, 104208415.19it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 42237952/170498071 [00:00<00:01, 95784414.02it/s]" + " 29%|██▉ | 49119232/170498071 [00:00<00:01, 108625049.70it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 53182464/170498071 [00:00<00:01, 100337282.40it/s]" + " 36%|███▌ | 60686336/170498071 [00:00<00:00, 111010192.90it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 63504384/170498071 [00:00<00:01, 101255669.81it/s]" + " 42%|████▏ | 72417280/170498071 [00:00<00:00, 113042160.30it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 74022912/170498071 [00:00<00:00, 102422137.80it/s]" + " 49%|████▉ | 84148224/170498071 [00:00<00:00, 114381724.94it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 50%|████▉ | 84574208/170498071 [00:00<00:00, 103317034.01it/s]" + " 56%|█████▌ | 95846400/170498071 [00:00<00:00, 115176752.10it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 94928896/170498071 [00:01<00:00, 103108871.70it/s]" + " 63%|██████▎ | 107610112/170498071 [00:01<00:00, 115879216.59it/s]" ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 62%|██████▏ | 106004480/170498071 [00:01<00:00, 105346208.26it/s]" + " 70%|██████▉ | 119341056/170498071 [00:01<00:00, 116271034.09it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 68%|██████▊ | 116654080/170498071 [00:01<00:00, 105629779.29it/s]" + " 77%|███████▋ | 131072000/170498071 [00:01<00:00, 116543973.46it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 75%|███████▍ | 127434752/170498071 [00:01<00:00, 106225044.57it/s]" + " 84%|████████▍ | 142835712/170498071 [00:01<00:00, 116782185.73it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████ | 138084352/170498071 [00:01<00:00, 105442269.14it/s]" + " 91%|█████████ | 154566656/170498071 [00:01<00:00, 116899168.76it/s]" ] }, { @@ -364,7 +364,7 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████▋ | 148799488/170498071 [00:01<00:00, 105804424.70it/s]" + " 98%|█████████▊| 166297600/170498071 [00:01<00:00, 116976973.61it/s]" ] }, { @@ -372,23 +372,7 @@ "output_type": "stream", "text": [ "\r", - " 94%|█████████▎| 159744000/170498071 [00:01<00:00, 106833768.32it/s]" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|█████████▉| 170491904/170498071 [00:01<00:00, 107010972.25it/s]" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|██████████| 170498071/170498071 [00:01<00:00, 99299872.36it/s] " + "100%|██████████| 170498071/170498071 [00:01<00:00, 110818033.91it/s]" ] }, { @@ -506,10 +490,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.024946Z", - "iopub.status.busy": "2024-07-09T06:27:53.024611Z", - "iopub.status.idle": "2024-07-09T06:27:53.029364Z", - "shell.execute_reply": "2024-07-09T06:27:53.028817Z" + "iopub.execute_input": "2024-07-11T23:31:24.736791Z", + "iopub.status.busy": "2024-07-11T23:31:24.736473Z", + "iopub.status.idle": "2024-07-11T23:31:24.741181Z", + "shell.execute_reply": "2024-07-11T23:31:24.740735Z" }, "nbsphinx": "hidden" }, @@ -560,10 +544,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.031408Z", - "iopub.status.busy": "2024-07-09T06:27:53.031096Z", - "iopub.status.idle": "2024-07-09T06:27:53.577241Z", - "shell.execute_reply": "2024-07-09T06:27:53.576593Z" + "iopub.execute_input": "2024-07-11T23:31:24.743449Z", + "iopub.status.busy": "2024-07-11T23:31:24.742931Z", + "iopub.status.idle": "2024-07-11T23:31:25.284399Z", + "shell.execute_reply": "2024-07-11T23:31:25.283756Z" } }, "outputs": [ @@ -596,10 +580,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.579601Z", - "iopub.status.busy": "2024-07-09T06:27:53.579322Z", - "iopub.status.idle": "2024-07-09T06:27:54.102985Z", - "shell.execute_reply": "2024-07-09T06:27:54.102360Z" + "iopub.execute_input": "2024-07-11T23:31:25.286696Z", + "iopub.status.busy": "2024-07-11T23:31:25.286313Z", + "iopub.status.idle": "2024-07-11T23:31:25.808458Z", + "shell.execute_reply": "2024-07-11T23:31:25.807874Z" } }, "outputs": [ @@ -637,10 +621,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:54.105484Z", - "iopub.status.busy": "2024-07-09T06:27:54.105073Z", - "iopub.status.idle": "2024-07-09T06:27:54.108602Z", - "shell.execute_reply": "2024-07-09T06:27:54.108156Z" + "iopub.execute_input": "2024-07-11T23:31:25.810731Z", + "iopub.status.busy": "2024-07-11T23:31:25.810369Z", + "iopub.status.idle": "2024-07-11T23:31:25.813893Z", + "shell.execute_reply": "2024-07-11T23:31:25.813436Z" } }, "outputs": [], @@ -663,17 +647,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:54.110579Z", - "iopub.status.busy": "2024-07-09T06:27:54.110395Z", - "iopub.status.idle": "2024-07-09T06:28:06.643708Z", - "shell.execute_reply": "2024-07-09T06:28:06.643176Z" + "iopub.execute_input": "2024-07-11T23:31:25.815970Z", + "iopub.status.busy": "2024-07-11T23:31:25.815628Z", + "iopub.status.idle": "2024-07-11T23:31:38.427676Z", + "shell.execute_reply": "2024-07-11T23:31:38.427081Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "17e3dce4b40a4cb8a2b240ec353e0eae", + "model_id": "e178963db0b140cebcc986e7a95dfca1", "version_major": 2, "version_minor": 0 }, @@ -732,10 +716,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:06.646239Z", - "iopub.status.busy": "2024-07-09T06:28:06.645832Z", - "iopub.status.idle": "2024-07-09T06:28:08.702608Z", - "shell.execute_reply": "2024-07-09T06:28:08.701924Z" + "iopub.execute_input": "2024-07-11T23:31:38.429964Z", + "iopub.status.busy": "2024-07-11T23:31:38.429776Z", + "iopub.status.idle": "2024-07-11T23:31:40.476211Z", + "shell.execute_reply": "2024-07-11T23:31:40.475587Z" } }, "outputs": [ @@ -779,10 +763,10 @@ "id": "089d5860", "metadata": { "execution": { - 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"iopub.execute_input": "2024-07-09T06:28:27.147640Z", - "iopub.status.busy": "2024-07-09T06:28:27.147460Z", - "iopub.status.idle": "2024-07-09T06:28:28.302447Z", - "shell.execute_reply": "2024-07-09T06:28:28.301888Z" + "iopub.execute_input": "2024-07-11T23:31:59.264178Z", + "iopub.status.busy": "2024-07-11T23:31:59.263998Z", + "iopub.status.idle": "2024-07-11T23:32:00.476568Z", + "shell.execute_reply": "2024-07-11T23:32:00.475998Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.304997Z", - "iopub.status.busy": "2024-07-09T06:28:28.304730Z", - "iopub.status.idle": "2024-07-09T06:28:28.321957Z", - "shell.execute_reply": "2024-07-09T06:28:28.321531Z" + "iopub.execute_input": "2024-07-11T23:32:00.479192Z", + "iopub.status.busy": "2024-07-11T23:32:00.478744Z", + "iopub.status.idle": "2024-07-11T23:32:00.496820Z", + "shell.execute_reply": "2024-07-11T23:32:00.496353Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.324137Z", - "iopub.status.busy": "2024-07-09T06:28:28.323717Z", - "iopub.status.idle": "2024-07-09T06:28:28.326748Z", - "shell.execute_reply": "2024-07-09T06:28:28.326302Z" + "iopub.execute_input": "2024-07-11T23:32:00.499201Z", + "iopub.status.busy": "2024-07-11T23:32:00.498752Z", + "iopub.status.idle": "2024-07-11T23:32:00.501927Z", + "shell.execute_reply": "2024-07-11T23:32:00.501454Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.328783Z", - "iopub.status.busy": "2024-07-09T06:28:28.328478Z", - "iopub.status.idle": "2024-07-09T06:28:28.398404Z", - "shell.execute_reply": "2024-07-09T06:28:28.397873Z" + "iopub.execute_input": "2024-07-11T23:32:00.504107Z", + "iopub.status.busy": "2024-07-11T23:32:00.503713Z", + "iopub.status.idle": "2024-07-11T23:32:00.598232Z", + "shell.execute_reply": "2024-07-11T23:32:00.597650Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.400685Z", - "iopub.status.busy": "2024-07-09T06:28:28.400280Z", - "iopub.status.idle": "2024-07-09T06:28:28.580610Z", - "shell.execute_reply": "2024-07-09T06:28:28.580004Z" + "iopub.execute_input": "2024-07-11T23:32:00.600456Z", + "iopub.status.busy": "2024-07-11T23:32:00.600139Z", + "iopub.status.idle": "2024-07-11T23:32:00.780908Z", + "shell.execute_reply": "2024-07-11T23:32:00.780266Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.583196Z", - "iopub.status.busy": "2024-07-09T06:28:28.582842Z", - "iopub.status.idle": "2024-07-09T06:28:28.825147Z", - "shell.execute_reply": "2024-07-09T06:28:28.824546Z" + "iopub.execute_input": "2024-07-11T23:32:00.783410Z", + "iopub.status.busy": "2024-07-11T23:32:00.783226Z", + "iopub.status.idle": "2024-07-11T23:32:00.997850Z", + "shell.execute_reply": "2024-07-11T23:32:00.997211Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.827512Z", - "iopub.status.busy": "2024-07-09T06:28:28.827171Z", - "iopub.status.idle": "2024-07-09T06:28:28.831561Z", - "shell.execute_reply": "2024-07-09T06:28:28.831115Z" + "iopub.execute_input": "2024-07-11T23:32:01.000308Z", + "iopub.status.busy": "2024-07-11T23:32:00.999922Z", + "iopub.status.idle": "2024-07-11T23:32:01.004657Z", + "shell.execute_reply": "2024-07-11T23:32:01.004188Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.833597Z", - "iopub.status.busy": "2024-07-09T06:28:28.833194Z", - "iopub.status.idle": "2024-07-09T06:28:28.839457Z", - "shell.execute_reply": "2024-07-09T06:28:28.838888Z" + "iopub.execute_input": "2024-07-11T23:32:01.006873Z", + "iopub.status.busy": "2024-07-11T23:32:01.006436Z", + "iopub.status.idle": "2024-07-11T23:32:01.012230Z", + "shell.execute_reply": "2024-07-11T23:32:01.011792Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.841676Z", - "iopub.status.busy": "2024-07-09T06:28:28.841286Z", - "iopub.status.idle": "2024-07-09T06:28:28.843833Z", - "shell.execute_reply": "2024-07-09T06:28:28.843413Z" + "iopub.execute_input": "2024-07-11T23:32:01.014340Z", + "iopub.status.busy": "2024-07-11T23:32:01.013970Z", + "iopub.status.idle": "2024-07-11T23:32:01.016728Z", + "shell.execute_reply": "2024-07-11T23:32:01.016248Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.845847Z", - "iopub.status.busy": "2024-07-09T06:28:28.845459Z", - "iopub.status.idle": "2024-07-09T06:28:37.416310Z", - "shell.execute_reply": "2024-07-09T06:28:37.415785Z" + "iopub.execute_input": "2024-07-11T23:32:01.018748Z", + "iopub.status.busy": "2024-07-11T23:32:01.018423Z", + "iopub.status.idle": "2024-07-11T23:32:10.134726Z", + "shell.execute_reply": "2024-07-11T23:32:10.134136Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.419117Z", - "iopub.status.busy": "2024-07-09T06:28:37.418506Z", - "iopub.status.idle": "2024-07-09T06:28:37.425880Z", - "shell.execute_reply": "2024-07-09T06:28:37.425420Z" + "iopub.execute_input": "2024-07-11T23:32:10.137831Z", + "iopub.status.busy": "2024-07-11T23:32:10.137187Z", + "iopub.status.idle": "2024-07-11T23:32:10.144868Z", + "shell.execute_reply": "2024-07-11T23:32:10.144299Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.427928Z", - "iopub.status.busy": "2024-07-09T06:28:37.427621Z", - "iopub.status.idle": "2024-07-09T06:28:37.431159Z", - "shell.execute_reply": "2024-07-09T06:28:37.430715Z" + "iopub.execute_input": "2024-07-11T23:32:10.147066Z", + "iopub.status.busy": "2024-07-11T23:32:10.146779Z", + "iopub.status.idle": "2024-07-11T23:32:10.150508Z", + "shell.execute_reply": "2024-07-11T23:32:10.149995Z" } }, "outputs": [], @@ -696,10 +696,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.433108Z", - "iopub.status.busy": "2024-07-09T06:28:37.432812Z", - "iopub.status.idle": "2024-07-09T06:28:37.436103Z", - "shell.execute_reply": "2024-07-09T06:28:37.435676Z" + "iopub.execute_input": "2024-07-11T23:32:10.152588Z", + "iopub.status.busy": "2024-07-11T23:32:10.152251Z", + "iopub.status.idle": "2024-07-11T23:32:10.155433Z", + "shell.execute_reply": "2024-07-11T23:32:10.154903Z" } }, "outputs": [ @@ -734,10 +734,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.437855Z", - "iopub.status.busy": "2024-07-09T06:28:37.437689Z", - "iopub.status.idle": "2024-07-09T06:28:37.440738Z", - "shell.execute_reply": "2024-07-09T06:28:37.440200Z" + "iopub.execute_input": "2024-07-11T23:32:10.157807Z", + "iopub.status.busy": "2024-07-11T23:32:10.157420Z", + "iopub.status.idle": "2024-07-11T23:32:10.163881Z", + "shell.execute_reply": "2024-07-11T23:32:10.163328Z" } }, "outputs": [], @@ -756,10 +756,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.442722Z", - "iopub.status.busy": "2024-07-09T06:28:37.442340Z", - "iopub.status.idle": "2024-07-09T06:28:37.450065Z", - "shell.execute_reply": "2024-07-09T06:28:37.449543Z" + "iopub.execute_input": "2024-07-11T23:32:10.166173Z", + "iopub.status.busy": "2024-07-11T23:32:10.165714Z", + "iopub.status.idle": "2024-07-11T23:32:10.176486Z", + "shell.execute_reply": "2024-07-11T23:32:10.175893Z" } }, "outputs": [ @@ -883,10 +883,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.452147Z", - "iopub.status.busy": "2024-07-09T06:28:37.451829Z", - "iopub.status.idle": "2024-07-09T06:28:37.454273Z", - "shell.execute_reply": "2024-07-09T06:28:37.453859Z" + "iopub.execute_input": "2024-07-11T23:32:10.179010Z", + "iopub.status.busy": "2024-07-11T23:32:10.178674Z", + "iopub.status.idle": "2024-07-11T23:32:10.181620Z", + "shell.execute_reply": "2024-07-11T23:32:10.181036Z" }, "nbsphinx": "hidden" }, @@ -921,10 +921,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.456308Z", - "iopub.status.busy": "2024-07-09T06:28:37.455998Z", - "iopub.status.idle": "2024-07-09T06:28:37.574042Z", - "shell.execute_reply": "2024-07-09T06:28:37.573412Z" + "iopub.execute_input": "2024-07-11T23:32:10.183941Z", + "iopub.status.busy": "2024-07-11T23:32:10.183608Z", + "iopub.status.idle": "2024-07-11T23:32:10.311815Z", + "shell.execute_reply": "2024-07-11T23:32:10.311090Z" } }, "outputs": [ @@ -963,10 +963,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.576401Z", - "iopub.status.busy": "2024-07-09T06:28:37.576035Z", - "iopub.status.idle": "2024-07-09T06:28:37.676628Z", - "shell.execute_reply": "2024-07-09T06:28:37.676092Z" + "iopub.execute_input": "2024-07-11T23:32:10.314495Z", + "iopub.status.busy": "2024-07-11T23:32:10.313960Z", + "iopub.status.idle": "2024-07-11T23:32:10.424888Z", + "shell.execute_reply": "2024-07-11T23:32:10.424268Z" } }, "outputs": [ @@ -1022,10 +1022,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.678829Z", - "iopub.status.busy": "2024-07-09T06:28:37.678655Z", - "iopub.status.idle": "2024-07-09T06:28:38.159157Z", - "shell.execute_reply": "2024-07-09T06:28:38.158544Z" + "iopub.execute_input": "2024-07-11T23:32:10.427478Z", + "iopub.status.busy": "2024-07-11T23:32:10.427113Z", + "iopub.status.idle": "2024-07-11T23:32:10.938948Z", + "shell.execute_reply": "2024-07-11T23:32:10.938269Z" } }, "outputs": [], @@ -1041,10 +1041,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:38.161651Z", - "iopub.status.busy": "2024-07-09T06:28:38.161475Z", - "iopub.status.idle": "2024-07-09T06:28:38.250789Z", - "shell.execute_reply": "2024-07-09T06:28:38.250230Z" + "iopub.execute_input": "2024-07-11T23:32:10.941874Z", + "iopub.status.busy": "2024-07-11T23:32:10.941302Z", + "iopub.status.idle": "2024-07-11T23:32:11.038384Z", + "shell.execute_reply": "2024-07-11T23:32:11.037782Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:38.252951Z", - "iopub.status.busy": "2024-07-09T06:28:38.252776Z", - "iopub.status.idle": "2024-07-09T06:28:38.261091Z", - "shell.execute_reply": "2024-07-09T06:28:38.260672Z" + "iopub.execute_input": "2024-07-11T23:32:11.040785Z", + "iopub.status.busy": "2024-07-11T23:32:11.040438Z", + "iopub.status.idle": "2024-07-11T23:32:11.049535Z", + "shell.execute_reply": "2024-07-11T23:32:11.049074Z" } }, "outputs": [ @@ -1189,10 +1189,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:38.262975Z", - "iopub.status.busy": "2024-07-09T06:28:38.262781Z", - "iopub.status.idle": "2024-07-09T06:28:38.265296Z", - "shell.execute_reply": "2024-07-09T06:28:38.264887Z" + "iopub.execute_input": "2024-07-11T23:32:11.051530Z", + "iopub.status.busy": "2024-07-11T23:32:11.051349Z", + "iopub.status.idle": "2024-07-11T23:32:11.054237Z", + "shell.execute_reply": "2024-07-11T23:32:11.053732Z" }, "nbsphinx": "hidden" }, @@ -1217,10 +1217,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:38.267254Z", - "iopub.status.busy": "2024-07-09T06:28:38.266967Z", - "iopub.status.idle": "2024-07-09T06:28:43.570047Z", - "shell.execute_reply": "2024-07-09T06:28:43.569491Z" + "iopub.execute_input": "2024-07-11T23:32:11.056147Z", + "iopub.status.busy": "2024-07-11T23:32:11.055971Z", + "iopub.status.idle": "2024-07-11T23:32:16.798486Z", + "shell.execute_reply": "2024-07-11T23:32:16.797837Z" } }, "outputs": [ @@ -1264,10 +1264,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:43.572470Z", - "iopub.status.busy": "2024-07-09T06:28:43.572094Z", - "iopub.status.idle": "2024-07-09T06:28:43.580386Z", - "shell.execute_reply": "2024-07-09T06:28:43.579870Z" + "iopub.execute_input": "2024-07-11T23:32:16.801050Z", + "iopub.status.busy": "2024-07-11T23:32:16.800587Z", + "iopub.status.idle": "2024-07-11T23:32:16.809241Z", + "shell.execute_reply": "2024-07-11T23:32:16.808773Z" } }, "outputs": [ @@ -1376,10 +1376,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:43.582347Z", - "iopub.status.busy": "2024-07-09T06:28:43.582046Z", - "iopub.status.idle": "2024-07-09T06:28:43.650473Z", - "shell.execute_reply": "2024-07-09T06:28:43.649884Z" + "iopub.execute_input": "2024-07-11T23:32:16.811373Z", + "iopub.status.busy": "2024-07-11T23:32:16.811029Z", + "iopub.status.idle": "2024-07-11T23:32:16.875258Z", + "shell.execute_reply": "2024-07-11T23:32:16.874659Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index ae5ebc560..de6875959 100644 --- a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:46.574289Z", - "iopub.status.busy": "2024-07-09T06:28:46.574108Z", - "iopub.status.idle": "2024-07-09T06:28:48.491596Z", - "shell.execute_reply": "2024-07-09T06:28:48.490918Z" + "iopub.execute_input": "2024-07-11T23:32:19.906876Z", + "iopub.status.busy": "2024-07-11T23:32:19.906713Z", + "iopub.status.idle": "2024-07-11T23:32:22.252981Z", + "shell.execute_reply": "2024-07-11T23:32:22.252336Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:48.494276Z", - "iopub.status.busy": "2024-07-09T06:28:48.493843Z", - "iopub.status.idle": "2024-07-09T06:29:39.569009Z", - "shell.execute_reply": "2024-07-09T06:29:39.568435Z" + "iopub.execute_input": "2024-07-11T23:32:22.255955Z", + "iopub.status.busy": "2024-07-11T23:32:22.255551Z", + "iopub.status.idle": "2024-07-11T23:33:17.312408Z", + "shell.execute_reply": "2024-07-11T23:33:17.311778Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:39.571515Z", - "iopub.status.busy": "2024-07-09T06:29:39.571138Z", - "iopub.status.idle": "2024-07-09T06:29:40.663339Z", - "shell.execute_reply": "2024-07-09T06:29:40.662734Z" + "iopub.execute_input": "2024-07-11T23:33:17.314965Z", + "iopub.status.busy": "2024-07-11T23:33:17.314582Z", + "iopub.status.idle": "2024-07-11T23:33:18.467232Z", + "shell.execute_reply": "2024-07-11T23:33:18.466671Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.665937Z", - "iopub.status.busy": "2024-07-09T06:29:40.665611Z", - "iopub.status.idle": "2024-07-09T06:29:40.669025Z", - "shell.execute_reply": "2024-07-09T06:29:40.668588Z" + "iopub.execute_input": "2024-07-11T23:33:18.469889Z", + "iopub.status.busy": "2024-07-11T23:33:18.469482Z", + "iopub.status.idle": "2024-07-11T23:33:18.472673Z", + "shell.execute_reply": "2024-07-11T23:33:18.472250Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.671153Z", - "iopub.status.busy": "2024-07-09T06:29:40.670839Z", - "iopub.status.idle": "2024-07-09T06:29:40.674594Z", - "shell.execute_reply": "2024-07-09T06:29:40.674175Z" + "iopub.execute_input": "2024-07-11T23:33:18.474860Z", + "iopub.status.busy": "2024-07-11T23:33:18.474466Z", + "iopub.status.idle": "2024-07-11T23:33:18.478384Z", + "shell.execute_reply": "2024-07-11T23:33:18.477916Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.676662Z", - "iopub.status.busy": "2024-07-09T06:29:40.676404Z", - "iopub.status.idle": "2024-07-09T06:29:40.679978Z", - "shell.execute_reply": "2024-07-09T06:29:40.679552Z" + "iopub.execute_input": "2024-07-11T23:33:18.480501Z", + "iopub.status.busy": "2024-07-11T23:33:18.480162Z", + "iopub.status.idle": "2024-07-11T23:33:18.483793Z", + "shell.execute_reply": "2024-07-11T23:33:18.483337Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.681969Z", - "iopub.status.busy": "2024-07-09T06:29:40.681683Z", - "iopub.status.idle": "2024-07-09T06:29:40.684443Z", - "shell.execute_reply": "2024-07-09T06:29:40.684006Z" + "iopub.execute_input": "2024-07-11T23:33:18.485739Z", + "iopub.status.busy": "2024-07-11T23:33:18.485418Z", + "iopub.status.idle": "2024-07-11T23:33:18.488095Z", + "shell.execute_reply": "2024-07-11T23:33:18.487656Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.686418Z", - "iopub.status.busy": "2024-07-09T06:29:40.686015Z", - "iopub.status.idle": "2024-07-09T06:30:13.548442Z", - "shell.execute_reply": "2024-07-09T06:30:13.547829Z" + "iopub.execute_input": "2024-07-11T23:33:18.490061Z", + "iopub.status.busy": "2024-07-11T23:33:18.489698Z", + "iopub.status.idle": "2024-07-11T23:33:56.175531Z", + "shell.execute_reply": "2024-07-11T23:33:56.174794Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6cc3388bab2643c8b90c9272aea123fd", + "model_id": "c0584b24721d43d2868ec02247f84455", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c10054699f0e464a82009f0a5e0c578c", + "model_id": "f8938d4cb96f420fac56cae5ee37daf5", "version_major": 2, "version_minor": 0 }, @@ -400,10 +400,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:13.551052Z", - "iopub.status.busy": "2024-07-09T06:30:13.550744Z", - "iopub.status.idle": "2024-07-09T06:30:14.218934Z", - "shell.execute_reply": "2024-07-09T06:30:14.218385Z" + "iopub.execute_input": "2024-07-11T23:33:56.178473Z", + "iopub.status.busy": "2024-07-11T23:33:56.178219Z", + "iopub.status.idle": "2024-07-11T23:33:56.861174Z", + "shell.execute_reply": "2024-07-11T23:33:56.860565Z" } }, "outputs": [ @@ -446,10 +446,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:14.221301Z", - "iopub.status.busy": "2024-07-09T06:30:14.220857Z", - "iopub.status.idle": "2024-07-09T06:30:17.059729Z", - "shell.execute_reply": "2024-07-09T06:30:17.059140Z" + "iopub.execute_input": "2024-07-11T23:33:56.863706Z", + "iopub.status.busy": "2024-07-11T23:33:56.863259Z", + "iopub.status.idle": "2024-07-11T23:33:59.837303Z", + "shell.execute_reply": "2024-07-11T23:33:59.836696Z" } }, "outputs": [ @@ -519,17 +519,17 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:17.061913Z", - "iopub.status.busy": "2024-07-09T06:30:17.061694Z", - "iopub.status.idle": "2024-07-09T06:30:49.094226Z", - "shell.execute_reply": "2024-07-09T06:30:49.093651Z" + "iopub.execute_input": "2024-07-11T23:33:59.839536Z", + "iopub.status.busy": "2024-07-11T23:33:59.839257Z", + "iopub.status.idle": "2024-07-11T23:34:32.571789Z", + "shell.execute_reply": "2024-07-11T23:34:32.571226Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7019068b213142edb33e86d2e73ee210", + "model_id": "3da6e0e6f80242a69eed899f7f003b6b", "version_major": 2, "version_minor": 0 }, @@ -769,10 +769,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:49.096361Z", - "iopub.status.busy": "2024-07-09T06:30:49.096022Z", - "iopub.status.idle": "2024-07-09T06:31:03.308031Z", - "shell.execute_reply": "2024-07-09T06:31:03.307471Z" + "iopub.execute_input": "2024-07-11T23:34:32.573937Z", + "iopub.status.busy": "2024-07-11T23:34:32.573624Z", + "iopub.status.idle": "2024-07-11T23:34:47.329710Z", + "shell.execute_reply": "2024-07-11T23:34:47.329133Z" } }, "outputs": [], @@ -786,10 +786,10 @@ "id": "716c74f3", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:03.310669Z", - "iopub.status.busy": "2024-07-09T06:31:03.310203Z", - "iopub.status.idle": "2024-07-09T06:31:07.123611Z", - "shell.execute_reply": "2024-07-09T06:31:07.123110Z" + "iopub.execute_input": "2024-07-11T23:34:47.332205Z", + "iopub.status.busy": "2024-07-11T23:34:47.331825Z", + "iopub.status.idle": "2024-07-11T23:34:51.162469Z", + "shell.execute_reply": "2024-07-11T23:34:51.161813Z" } }, "outputs": [ @@ -858,17 +858,17 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:07.125567Z", - "iopub.status.busy": "2024-07-09T06:31:07.125390Z", - "iopub.status.idle": "2024-07-09T06:31:08.517470Z", - "shell.execute_reply": "2024-07-09T06:31:08.516908Z" + "iopub.execute_input": "2024-07-11T23:34:51.164843Z", + "iopub.status.busy": "2024-07-11T23:34:51.164441Z", + "iopub.status.idle": "2024-07-11T23:34:52.633372Z", + "shell.execute_reply": "2024-07-11T23:34:52.632812Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fd89a714f4bd4881ac3bcdde2e818698", + "model_id": "c6133c732ab34f69926d67ba61ff195d", "version_major": 2, "version_minor": 0 }, @@ -898,10 +898,10 @@ "id": "390780a1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:08.519948Z", - "iopub.status.busy": "2024-07-09T06:31:08.519605Z", - "iopub.status.idle": "2024-07-09T06:31:08.546961Z", - "shell.execute_reply": "2024-07-09T06:31:08.546404Z" + "iopub.execute_input": "2024-07-11T23:34:52.635841Z", + "iopub.status.busy": "2024-07-11T23:34:52.635556Z", + "iopub.status.idle": "2024-07-11T23:34:52.666054Z", + "shell.execute_reply": "2024-07-11T23:34:52.665470Z" } }, "outputs": [], @@ -915,10 +915,10 @@ "id": "933d6ef0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:08.549370Z", - "iopub.status.busy": "2024-07-09T06:31:08.549025Z", - "iopub.status.idle": "2024-07-09T06:31:14.598098Z", - "shell.execute_reply": "2024-07-09T06:31:14.597530Z" + "iopub.execute_input": "2024-07-11T23:34:52.668535Z", + "iopub.status.busy": "2024-07-11T23:34:52.668149Z", + "iopub.status.idle": "2024-07-11T23:34:58.869472Z", + "shell.execute_reply": "2024-07-11T23:34:58.868947Z" } }, "outputs": [ @@ -991,10 +991,10 @@ "id": "86bac686", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:14.600337Z", - "iopub.status.busy": "2024-07-09T06:31:14.600147Z", - "iopub.status.idle": "2024-07-09T06:31:14.656339Z", - "shell.execute_reply": "2024-07-09T06:31:14.655805Z" + "iopub.execute_input": "2024-07-11T23:34:58.871708Z", + "iopub.status.busy": "2024-07-11T23:34:58.871342Z", + "iopub.status.idle": "2024-07-11T23:34:58.927260Z", + "shell.execute_reply": "2024-07-11T23:34:58.926706Z" }, "nbsphinx": "hidden" }, @@ -1038,7 +1038,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "02d9a746ed0046739aa78a6ce0085ff9": { + "0044b9b331cd444eb439a799eba62326": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1053,15 +1053,15 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_0b2d6256d1c542d285214e15fc92fe65", + "layout": "IPY_MODEL_60deca07abc34cb3811a667941e2f2bd", "placeholder": "​", - "style": "IPY_MODEL_57f13be2c99544fb9cc14d43a41b2771", + "style": "IPY_MODEL_1857b1f1c6794842b42cf4631af6f405", "tabbable": null, "tooltip": null, - "value": " 30/30 [00:20<00:00,  1.44it/s]" + "value": " 30/30 [00:01<00:00, 20.57it/s]" } }, - "0b2d6256d1c542d285214e15fc92fe65": { + "11b5ab5708304b01964b5005e9d49fa2": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1114,60 +1114,25 @@ "width": null } }, - "0c20fddef0b54b239fafa2cc41c63236": { - "model_module": "@jupyter-widgets/base", + "1857b1f1c6794842b42cf4631af6f405": { + "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "LayoutModel", + "model_name": "HTMLStyleModel", "state": { - "_model_module": "@jupyter-widgets/base", + "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "LayoutModel", + "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border_bottom": null, - "border_left": null, - "border_right": null, - "border_top": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } }, - "0dd5218cedde49baa055e8096ed30926": { + "188d4e1710a14a4a825950556de3ccaf": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1220,7 +1185,7 @@ "width": null } }, - "14896ca89fcc44339c2b6527f1f9f9dc": { + "1e1959d4bb5a46e68d56612b7c1106be": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1238,51 +1203,30 @@ "text_color": null } }, - "176760f869904a7fa39445bdd88719b2": { + "1e616626d69c47bfa1a9ce0674300814": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "FloatProgressModel", + "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "FloatProgressModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "ProgressView", - "bar_style": "success", + "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_2abe5ecefb664d2bafb6bfe15ea93d0d", - "max": 30.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_d504401538154719844d7826ee272589", + "layout": "IPY_MODEL_a8069702950941be8203dbf7f4221c96", + "placeholder": "​", + "style": "IPY_MODEL_7fed8e007e194b8bb590f88491499d1e", "tabbable": null, "tooltip": null, - 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"iopub.execute_input": "2024-07-09T06:31:16.799869Z", - "iopub.status.busy": "2024-07-09T06:31:16.799691Z", - "iopub.status.idle": "2024-07-09T06:31:17.988936Z", - "shell.execute_reply": "2024-07-09T06:31:17.988319Z" + "iopub.execute_input": "2024-07-11T23:35:01.258463Z", + "iopub.status.busy": "2024-07-11T23:35:01.258298Z", + "iopub.status.idle": "2024-07-11T23:35:02.186338Z", + "shell.execute_reply": "2024-07-11T23:35:02.185630Z" } }, "outputs": [ @@ -86,31 +86,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-07-09 06:31:16-- https://data.deepai.org/conll2003.zip\r\n", - "Resolving data.deepai.org (data.deepai.org)... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "169.150.236.97, 2400:52e0:1a00::1029:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n", - "HTTP request sent, awaiting response... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "200 OK\r\n", + "--2024-07-11 23:35:01-- https://data.deepai.org/conll2003.zip\r\n", + "Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::871:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -123,9 +102,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.22MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.01s \r\n", "\r\n", - "2024-07-09 06:31:17 (5.22 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-07-11 23:35:01 (73.9 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -145,9 +124,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-07-09 06:31:17-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.171.25, 54.231.130.41, 52.216.52.217, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.171.25|:443... connected.\r\n", + "--2024-07-11 23:35:01-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.65, 52.217.235.193, 3.5.1.160, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.65|:443... connected.\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "HTTP request sent, awaiting response... " ] }, @@ -168,9 +153,17 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.09s \r\n", + "pred_probs.npz 72%[=============> ] 11.85M 59.2MB/s " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\r", + "pred_probs.npz 100%[===================>] 16.26M 70.5MB/s in 0.2s \r\n", "\r\n", - "2024-07-09 06:31:17 (179 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-07-11 23:35:02 (70.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -187,10 +180,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:17.991436Z", - "iopub.status.busy": "2024-07-09T06:31:17.991070Z", - "iopub.status.idle": "2024-07-09T06:31:19.289852Z", - "shell.execute_reply": "2024-07-09T06:31:19.289351Z" + "iopub.execute_input": "2024-07-11T23:35:02.189111Z", + "iopub.status.busy": "2024-07-11T23:35:02.188690Z", + "iopub.status.idle": "2024-07-11T23:35:03.496983Z", + "shell.execute_reply": "2024-07-11T23:35:03.496414Z" }, "nbsphinx": "hidden" }, @@ -201,7 +194,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -227,10 +220,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.292366Z", - "iopub.status.busy": "2024-07-09T06:31:19.291931Z", - "iopub.status.idle": "2024-07-09T06:31:19.295209Z", - "shell.execute_reply": "2024-07-09T06:31:19.294745Z" + "iopub.execute_input": "2024-07-11T23:35:03.499628Z", + "iopub.status.busy": "2024-07-11T23:35:03.499335Z", + "iopub.status.idle": "2024-07-11T23:35:03.502749Z", + "shell.execute_reply": "2024-07-11T23:35:03.502297Z" } }, "outputs": [], @@ -280,10 +273,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.297359Z", - "iopub.status.busy": "2024-07-09T06:31:19.297049Z", - "iopub.status.idle": "2024-07-09T06:31:19.300013Z", - "shell.execute_reply": "2024-07-09T06:31:19.299557Z" + "iopub.execute_input": "2024-07-11T23:35:03.504801Z", + "iopub.status.busy": "2024-07-11T23:35:03.504477Z", + "iopub.status.idle": "2024-07-11T23:35:03.507452Z", + "shell.execute_reply": "2024-07-11T23:35:03.506988Z" }, "nbsphinx": "hidden" }, @@ -301,10 +294,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.302022Z", - "iopub.status.busy": "2024-07-09T06:31:19.301697Z", - "iopub.status.idle": "2024-07-09T06:31:28.335757Z", - "shell.execute_reply": "2024-07-09T06:31:28.335203Z" + "iopub.execute_input": "2024-07-11T23:35:03.509461Z", + "iopub.status.busy": "2024-07-11T23:35:03.509119Z", + "iopub.status.idle": "2024-07-11T23:35:12.662798Z", + "shell.execute_reply": "2024-07-11T23:35:12.662214Z" } }, "outputs": [], @@ -378,10 +371,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.338200Z", - "iopub.status.busy": "2024-07-09T06:31:28.337845Z", - "iopub.status.idle": "2024-07-09T06:31:28.343280Z", - "shell.execute_reply": "2024-07-09T06:31:28.342837Z" + "iopub.execute_input": "2024-07-11T23:35:12.665425Z", + "iopub.status.busy": "2024-07-11T23:35:12.665028Z", + "iopub.status.idle": "2024-07-11T23:35:12.670584Z", + "shell.execute_reply": "2024-07-11T23:35:12.670111Z" }, "nbsphinx": "hidden" }, @@ -421,10 +414,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.345254Z", - "iopub.status.busy": "2024-07-09T06:31:28.344923Z", - "iopub.status.idle": "2024-07-09T06:31:28.685882Z", - "shell.execute_reply": "2024-07-09T06:31:28.685329Z" + "iopub.execute_input": "2024-07-11T23:35:12.672749Z", + "iopub.status.busy": "2024-07-11T23:35:12.672341Z", + "iopub.status.idle": "2024-07-11T23:35:13.029090Z", + "shell.execute_reply": "2024-07-11T23:35:13.028516Z" } }, "outputs": [], @@ -461,10 +454,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.688450Z", - "iopub.status.busy": "2024-07-09T06:31:28.688108Z", - "iopub.status.idle": "2024-07-09T06:31:28.692422Z", - "shell.execute_reply": "2024-07-09T06:31:28.691913Z" + "iopub.execute_input": "2024-07-11T23:35:13.031558Z", + "iopub.status.busy": "2024-07-11T23:35:13.031368Z", + "iopub.status.idle": "2024-07-11T23:35:13.035967Z", + "shell.execute_reply": "2024-07-11T23:35:13.035483Z" } }, "outputs": [ @@ -536,10 +529,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.694566Z", - "iopub.status.busy": "2024-07-09T06:31:28.694154Z", - "iopub.status.idle": "2024-07-09T06:31:31.218610Z", - "shell.execute_reply": "2024-07-09T06:31:31.217915Z" + "iopub.execute_input": "2024-07-11T23:35:13.037865Z", + "iopub.status.busy": "2024-07-11T23:35:13.037691Z", + "iopub.status.idle": "2024-07-11T23:35:15.710595Z", + "shell.execute_reply": "2024-07-11T23:35:15.709845Z" } }, "outputs": [], @@ -561,10 +554,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.221635Z", - "iopub.status.busy": "2024-07-09T06:31:31.220890Z", - "iopub.status.idle": "2024-07-09T06:31:31.224904Z", - "shell.execute_reply": "2024-07-09T06:31:31.224377Z" + "iopub.execute_input": "2024-07-11T23:35:15.713638Z", + "iopub.status.busy": "2024-07-11T23:35:15.713039Z", + "iopub.status.idle": "2024-07-11T23:35:15.717454Z", + "shell.execute_reply": "2024-07-11T23:35:15.716971Z" } }, "outputs": [ @@ -600,10 +593,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.226850Z", - "iopub.status.busy": "2024-07-09T06:31:31.226675Z", - "iopub.status.idle": "2024-07-09T06:31:31.232224Z", - "shell.execute_reply": "2024-07-09T06:31:31.231711Z" + "iopub.execute_input": "2024-07-11T23:35:15.719371Z", + "iopub.status.busy": "2024-07-11T23:35:15.719198Z", + "iopub.status.idle": "2024-07-11T23:35:15.725101Z", + "shell.execute_reply": "2024-07-11T23:35:15.724613Z" } }, "outputs": [ @@ -781,10 +774,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.234195Z", - "iopub.status.busy": "2024-07-09T06:31:31.233868Z", - "iopub.status.idle": "2024-07-09T06:31:31.260501Z", - "shell.execute_reply": "2024-07-09T06:31:31.260037Z" + "iopub.execute_input": "2024-07-11T23:35:15.727225Z", + "iopub.status.busy": "2024-07-11T23:35:15.726814Z", + "iopub.status.idle": "2024-07-11T23:35:15.754333Z", + "shell.execute_reply": "2024-07-11T23:35:15.753814Z" } }, "outputs": [ @@ -886,10 +879,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.262698Z", - "iopub.status.busy": "2024-07-09T06:31:31.262368Z", - "iopub.status.idle": "2024-07-09T06:31:31.266471Z", - "shell.execute_reply": "2024-07-09T06:31:31.265953Z" + "iopub.execute_input": "2024-07-11T23:35:15.756419Z", + "iopub.status.busy": "2024-07-11T23:35:15.756236Z", + "iopub.status.idle": "2024-07-11T23:35:15.760750Z", + "shell.execute_reply": "2024-07-11T23:35:15.760207Z" } }, "outputs": [ @@ -963,10 +956,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.268473Z", - "iopub.status.busy": "2024-07-09T06:31:31.268157Z", - "iopub.status.idle": "2024-07-09T06:31:32.664554Z", - "shell.execute_reply": "2024-07-09T06:31:32.664039Z" + "iopub.execute_input": "2024-07-11T23:35:15.762649Z", + "iopub.status.busy": "2024-07-11T23:35:15.762472Z", + "iopub.status.idle": "2024-07-11T23:35:17.199732Z", + "shell.execute_reply": "2024-07-11T23:35:17.199171Z" } }, "outputs": [ @@ -1138,10 +1131,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:32.666738Z", - "iopub.status.busy": "2024-07-09T06:31:32.666392Z", - "iopub.status.idle": "2024-07-09T06:31:32.670504Z", - "shell.execute_reply": "2024-07-09T06:31:32.670046Z" + "iopub.execute_input": "2024-07-11T23:35:17.201976Z", + "iopub.status.busy": "2024-07-11T23:35:17.201566Z", + "iopub.status.idle": "2024-07-11T23:35:17.205791Z", + "shell.execute_reply": "2024-07-11T23:35:17.205192Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/tutorials/clean_learning/index.doctree b/master/.doctrees/tutorials/clean_learning/index.doctree index 446a917b60ab5b882647de88542e37c5f684b538..8495052262d1a9d44a7088aa22107265488ffba4 100644 GIT binary patch delta 62 zcmX>tep-A(E~BA&L3(*newu;4sj+E_agv#tsX?kiin&Etep-A(E~8SC)69(wO-wD)EDS7CEt3rl%+pc~%+k!$(hN;3 SOwvq&IK?zMar0l!gvS8s3KlN_ diff --git a/master/.doctrees/tutorials/clean_learning/text.doctree b/master/.doctrees/tutorials/clean_learning/text.doctree index 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"@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "ab2937ae039949aa81e28e5be11eab89": {"model_name": "HBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_a5e2c68e5e3c44638f01c16b65e14bad", "IPY_MODEL_700efa603f0444389a2e132108816745", "IPY_MODEL_bae48e79083043bfa0338dc3e0a2e017"], "layout": "IPY_MODEL_d0ed5a842bfc46edb47d887346e2909a", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/clean_learning/text.ipynb b/master/tutorials/clean_learning/text.ipynb index 4b6fd48a4..a6ab437d0 100644 --- a/master/tutorials/clean_learning/text.ipynb +++ b/master/tutorials/clean_learning/text.ipynb @@ -115,10 +115,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:49.240434Z", - "iopub.status.busy": "2024-07-09T06:21:49.240266Z", - "iopub.status.idle": "2024-07-09T06:21:52.341784Z", - "shell.execute_reply": "2024-07-09T06:21:52.341296Z" + "iopub.execute_input": "2024-07-11T23:25:06.686658Z", + "iopub.status.busy": "2024-07-11T23:25:06.686488Z", + "iopub.status.idle": "2024-07-11T23:25:09.700882Z", + "shell.execute_reply": "2024-07-11T23:25:09.700322Z" }, "nbsphinx": "hidden" }, @@ -135,7 +135,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -160,10 +160,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.344435Z", - "iopub.status.busy": "2024-07-09T06:21:52.343997Z", - "iopub.status.idle": "2024-07-09T06:21:52.347958Z", - "shell.execute_reply": "2024-07-09T06:21:52.347446Z" + "iopub.execute_input": "2024-07-11T23:25:09.703608Z", + "iopub.status.busy": "2024-07-11T23:25:09.703138Z", + "iopub.status.idle": "2024-07-11T23:25:09.706596Z", + "shell.execute_reply": "2024-07-11T23:25:09.706102Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.350024Z", - "iopub.status.busy": "2024-07-09T06:21:52.349635Z", - "iopub.status.idle": "2024-07-09T06:21:52.352754Z", - "shell.execute_reply": "2024-07-09T06:21:52.352222Z" + "iopub.execute_input": "2024-07-11T23:25:09.708685Z", + "iopub.status.busy": "2024-07-11T23:25:09.708242Z", + "iopub.status.idle": "2024-07-11T23:25:09.711461Z", + "shell.execute_reply": "2024-07-11T23:25:09.710881Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.354801Z", - "iopub.status.busy": "2024-07-09T06:21:52.354380Z", - "iopub.status.idle": "2024-07-09T06:21:52.405560Z", - "shell.execute_reply": "2024-07-09T06:21:52.405035Z" + "iopub.execute_input": "2024-07-11T23:25:09.713607Z", + "iopub.status.busy": "2024-07-11T23:25:09.713267Z", + "iopub.status.idle": "2024-07-11T23:25:09.766261Z", + "shell.execute_reply": "2024-07-11T23:25:09.765689Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.407560Z", - "iopub.status.busy": "2024-07-09T06:21:52.407242Z", - "iopub.status.idle": "2024-07-09T06:21:52.410852Z", - "shell.execute_reply": "2024-07-09T06:21:52.410392Z" + "iopub.execute_input": "2024-07-11T23:25:09.768526Z", + "iopub.status.busy": "2024-07-11T23:25:09.768175Z", + "iopub.status.idle": "2024-07-11T23:25:09.771632Z", + "shell.execute_reply": "2024-07-11T23:25:09.771194Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.412798Z", - "iopub.status.busy": "2024-07-09T06:21:52.412490Z", - "iopub.status.idle": "2024-07-09T06:21:52.415836Z", - "shell.execute_reply": "2024-07-09T06:21:52.415299Z" + "iopub.execute_input": "2024-07-11T23:25:09.773705Z", + "iopub.status.busy": "2024-07-11T23:25:09.773363Z", + "iopub.status.idle": "2024-07-11T23:25:09.776587Z", + "shell.execute_reply": "2024-07-11T23:25:09.776108Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'supported_cards_and_currencies', 'getting_spare_card', 'lost_or_stolen_phone', 'visa_or_mastercard', 'change_pin', 'card_about_to_expire', 'cancel_transfer', 'beneficiary_not_allowed', 'apple_pay_or_google_pay', 'card_payment_fee_charged'}\n" + "Classes: {'lost_or_stolen_phone', 'getting_spare_card', 'cancel_transfer', 'card_payment_fee_charged', 'change_pin', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'card_about_to_expire', 'supported_cards_and_currencies'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.417781Z", - "iopub.status.busy": "2024-07-09T06:21:52.417462Z", - "iopub.status.idle": "2024-07-09T06:21:52.420529Z", - "shell.execute_reply": "2024-07-09T06:21:52.420017Z" + "iopub.execute_input": "2024-07-11T23:25:09.778701Z", + "iopub.status.busy": "2024-07-11T23:25:09.778289Z", + "iopub.status.idle": "2024-07-11T23:25:09.781357Z", + "shell.execute_reply": "2024-07-11T23:25:09.780825Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.422617Z", - "iopub.status.busy": "2024-07-09T06:21:52.422214Z", - "iopub.status.idle": "2024-07-09T06:21:52.425416Z", - "shell.execute_reply": "2024-07-09T06:21:52.424998Z" + "iopub.execute_input": "2024-07-11T23:25:09.783549Z", + "iopub.status.busy": "2024-07-11T23:25:09.783083Z", + "iopub.status.idle": "2024-07-11T23:25:09.786372Z", + "shell.execute_reply": "2024-07-11T23:25:09.785899Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:52.427244Z", - "iopub.status.busy": "2024-07-09T06:21:52.427078Z", - "iopub.status.idle": "2024-07-09T06:21:56.745262Z", - "shell.execute_reply": "2024-07-09T06:21:56.744632Z" + "iopub.execute_input": "2024-07-11T23:25:09.788507Z", + "iopub.status.busy": "2024-07-11T23:25:09.788090Z", + "iopub.status.idle": "2024-07-11T23:25:15.686433Z", + "shell.execute_reply": "2024-07-11T23:25:15.685863Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c040ce84f01d40379935c57a437135d2", + "model_id": "3c51ceb30f934a7c915dbd114a2ab52f", "version_major": 2, "version_minor": 0 }, @@ -477,7 +477,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c7e479504bac453bb70c779f5c0f3525", + "model_id": "e6fa63d94d7f443db8da4517d5ed57f3", "version_major": 2, "version_minor": 0 }, @@ -491,7 +491,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e38763de16664cf4b837920d4bc2ace8", + "model_id": "118602f24dbb47ddacf97f6da13a0a83", "version_major": 2, "version_minor": 0 }, @@ -505,7 +505,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d426400e6f5f4f559bce90df2411bfab", + "model_id": "18eb905356294b90a0eb9565a2888477", "version_major": 2, "version_minor": 0 }, @@ -519,7 +519,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "223652b12d77470d806f5f9b123b1cde", + "model_id": "dcb1650bc8824592a265782063d74434", "version_major": 2, "version_minor": 0 }, @@ -533,7 +533,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "94487f86ff8a4e3fa1c870682ab05381", + "model_id": "340c70a7f83c4b06ab306ef319226464", "version_major": 2, "version_minor": 0 }, @@ -547,7 +547,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ae2d10a9a0bd42468482e2cffacc15e6", + "model_id": "ab2937ae039949aa81e28e5be11eab89", "version_major": 2, "version_minor": 0 }, @@ -601,10 +601,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:56.747914Z", - "iopub.status.busy": "2024-07-09T06:21:56.747699Z", - "iopub.status.idle": "2024-07-09T06:21:56.750422Z", - "shell.execute_reply": "2024-07-09T06:21:56.749907Z" + "iopub.execute_input": "2024-07-11T23:25:15.689306Z", + "iopub.status.busy": "2024-07-11T23:25:15.689070Z", + "iopub.status.idle": "2024-07-11T23:25:15.691944Z", + "shell.execute_reply": "2024-07-11T23:25:15.691463Z" } }, "outputs": [], @@ -626,10 +626,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:56.752430Z", - "iopub.status.busy": "2024-07-09T06:21:56.752042Z", - "iopub.status.idle": "2024-07-09T06:21:56.754593Z", - "shell.execute_reply": "2024-07-09T06:21:56.754165Z" + "iopub.execute_input": "2024-07-11T23:25:15.694071Z", + "iopub.status.busy": "2024-07-11T23:25:15.693732Z", + "iopub.status.idle": "2024-07-11T23:25:15.696526Z", + "shell.execute_reply": "2024-07-11T23:25:15.695969Z" } }, "outputs": [], @@ -644,10 +644,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:56.756400Z", - "iopub.status.busy": "2024-07-09T06:21:56.756229Z", - "iopub.status.idle": "2024-07-09T06:21:59.390602Z", - "shell.execute_reply": "2024-07-09T06:21:59.389981Z" + "iopub.execute_input": "2024-07-11T23:25:15.698532Z", + "iopub.status.busy": "2024-07-11T23:25:15.698189Z", + "iopub.status.idle": "2024-07-11T23:25:18.826132Z", + "shell.execute_reply": "2024-07-11T23:25:18.825313Z" }, "scrolled": true }, @@ -670,10 +670,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:59.393398Z", - "iopub.status.busy": "2024-07-09T06:21:59.392860Z", - "iopub.status.idle": "2024-07-09T06:21:59.400402Z", - "shell.execute_reply": "2024-07-09T06:21:59.399893Z" + "iopub.execute_input": "2024-07-11T23:25:18.829155Z", + "iopub.status.busy": "2024-07-11T23:25:18.828514Z", + "iopub.status.idle": "2024-07-11T23:25:18.836278Z", + "shell.execute_reply": "2024-07-11T23:25:18.835813Z" } }, "outputs": [ @@ -774,10 +774,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:59.402483Z", - "iopub.status.busy": "2024-07-09T06:21:59.402085Z", - "iopub.status.idle": "2024-07-09T06:21:59.406027Z", - "shell.execute_reply": "2024-07-09T06:21:59.405499Z" + "iopub.execute_input": "2024-07-11T23:25:18.838558Z", + "iopub.status.busy": "2024-07-11T23:25:18.838080Z", + "iopub.status.idle": "2024-07-11T23:25:18.841931Z", + "shell.execute_reply": "2024-07-11T23:25:18.841503Z" } }, "outputs": [], @@ -791,10 +791,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:59.408118Z", - "iopub.status.busy": "2024-07-09T06:21:59.407818Z", - "iopub.status.idle": "2024-07-09T06:21:59.410977Z", - "shell.execute_reply": "2024-07-09T06:21:59.410424Z" + "iopub.execute_input": "2024-07-11T23:25:18.844292Z", + "iopub.status.busy": "2024-07-11T23:25:18.843885Z", + "iopub.status.idle": "2024-07-11T23:25:18.846972Z", + "shell.execute_reply": "2024-07-11T23:25:18.846390Z" } }, "outputs": [ @@ -829,10 +829,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:59.413097Z", - "iopub.status.busy": "2024-07-09T06:21:59.412678Z", - "iopub.status.idle": "2024-07-09T06:21:59.415713Z", - "shell.execute_reply": "2024-07-09T06:21:59.415177Z" + "iopub.execute_input": "2024-07-11T23:25:18.849065Z", + "iopub.status.busy": "2024-07-11T23:25:18.848725Z", + 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"if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -131,10 +131,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:08.853152Z", - "iopub.status.busy": "2024-07-09T06:22:08.852690Z", - "iopub.status.idle": "2024-07-09T06:22:08.855934Z", - "shell.execute_reply": "2024-07-09T06:22:08.855477Z" + "iopub.execute_input": "2024-07-11T23:25:29.140934Z", + "iopub.status.busy": "2024-07-11T23:25:29.140561Z", + "iopub.status.idle": "2024-07-11T23:25:29.143802Z", + "shell.execute_reply": "2024-07-11T23:25:29.143344Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:08.857959Z", - "iopub.status.busy": "2024-07-09T06:22:08.857632Z", - "iopub.status.idle": "2024-07-09T06:22:08.861976Z", - "shell.execute_reply": "2024-07-09T06:22:08.861565Z" + "iopub.execute_input": "2024-07-11T23:25:29.145725Z", + "iopub.status.busy": "2024-07-11T23:25:29.145540Z", + "iopub.status.idle": "2024-07-11T23:25:29.150162Z", + "shell.execute_reply": "2024-07-11T23:25:29.149689Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:08.864012Z", - "iopub.status.busy": "2024-07-09T06:22:08.863632Z", - "iopub.status.idle": "2024-07-09T06:22:10.501197Z", - "shell.execute_reply": "2024-07-09T06:22:10.500598Z" + "iopub.execute_input": "2024-07-11T23:25:29.152064Z", + "iopub.status.busy": "2024-07-11T23:25:29.151888Z", + "iopub.status.idle": "2024-07-11T23:25:31.115917Z", + "shell.execute_reply": "2024-07-11T23:25:31.115083Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:10.503804Z", - "iopub.status.busy": "2024-07-09T06:22:10.503416Z", - "iopub.status.idle": "2024-07-09T06:22:10.513980Z", - "shell.execute_reply": "2024-07-09T06:22:10.513523Z" + "iopub.execute_input": "2024-07-11T23:25:31.118929Z", + "iopub.status.busy": "2024-07-11T23:25:31.118540Z", + "iopub.status.idle": "2024-07-11T23:25:31.129798Z", + "shell.execute_reply": "2024-07-11T23:25:31.129227Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:10.516180Z", - "iopub.status.busy": "2024-07-09T06:22:10.515850Z", - "iopub.status.idle": "2024-07-09T06:22:10.521399Z", - "shell.execute_reply": "2024-07-09T06:22:10.520894Z" + "iopub.execute_input": "2024-07-11T23:25:31.132173Z", + "iopub.status.busy": "2024-07-11T23:25:31.131721Z", + "iopub.status.idle": "2024-07-11T23:25:31.137764Z", + "shell.execute_reply": "2024-07-11T23:25:31.137297Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:10.523550Z", - "iopub.status.busy": "2024-07-09T06:22:10.523111Z", - "iopub.status.idle": "2024-07-09T06:22:10.966866Z", - "shell.execute_reply": "2024-07-09T06:22:10.966371Z" + "iopub.execute_input": "2024-07-11T23:25:31.139717Z", + "iopub.status.busy": "2024-07-11T23:25:31.139441Z", + "iopub.status.idle": "2024-07-11T23:25:31.606352Z", + "shell.execute_reply": "2024-07-11T23:25:31.605735Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:10.969003Z", - "iopub.status.busy": "2024-07-09T06:22:10.968716Z", - "iopub.status.idle": "2024-07-09T06:22:11.621713Z", - "shell.execute_reply": "2024-07-09T06:22:11.621235Z" + "iopub.execute_input": "2024-07-11T23:25:31.608562Z", + "iopub.status.busy": "2024-07-11T23:25:31.608237Z", + "iopub.status.idle": "2024-07-11T23:25:32.413383Z", + "shell.execute_reply": "2024-07-11T23:25:32.412877Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:11.624138Z", - "iopub.status.busy": "2024-07-09T06:22:11.623795Z", - "iopub.status.idle": "2024-07-09T06:22:11.641645Z", - "shell.execute_reply": "2024-07-09T06:22:11.641200Z" + "iopub.execute_input": "2024-07-11T23:25:32.415851Z", + "iopub.status.busy": "2024-07-11T23:25:32.415523Z", + "iopub.status.idle": "2024-07-11T23:25:32.433928Z", + "shell.execute_reply": "2024-07-11T23:25:32.433491Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:11.643659Z", - "iopub.status.busy": "2024-07-09T06:22:11.643333Z", - "iopub.status.idle": "2024-07-09T06:22:11.646457Z", - "shell.execute_reply": "2024-07-09T06:22:11.645916Z" + "iopub.execute_input": "2024-07-11T23:25:32.436044Z", + "iopub.status.busy": "2024-07-11T23:25:32.435632Z", + "iopub.status.idle": "2024-07-11T23:25:32.438903Z", + "shell.execute_reply": "2024-07-11T23:25:32.438334Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:11.648482Z", - "iopub.status.busy": "2024-07-09T06:22:11.648101Z", - "iopub.status.idle": "2024-07-09T06:22:26.104216Z", - "shell.execute_reply": "2024-07-09T06:22:26.103596Z" + "iopub.execute_input": "2024-07-11T23:25:32.440891Z", + "iopub.status.busy": "2024-07-11T23:25:32.440569Z", + "iopub.status.idle": "2024-07-11T23:25:46.637808Z", + "shell.execute_reply": "2024-07-11T23:25:46.637255Z" }, "id": "2FSQ2GR9R_YA" }, @@ -617,10 +617,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.106855Z", - "iopub.status.busy": "2024-07-09T06:22:26.106613Z", - "iopub.status.idle": "2024-07-09T06:22:26.110484Z", - "shell.execute_reply": "2024-07-09T06:22:26.109922Z" + "iopub.execute_input": "2024-07-11T23:25:46.640464Z", + "iopub.status.busy": "2024-07-11T23:25:46.640058Z", + "iopub.status.idle": "2024-07-11T23:25:46.643762Z", + "shell.execute_reply": "2024-07-11T23:25:46.643204Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -680,10 +680,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.112655Z", - "iopub.status.busy": "2024-07-09T06:22:26.112225Z", - "iopub.status.idle": "2024-07-09T06:22:26.806714Z", - "shell.execute_reply": "2024-07-09T06:22:26.806127Z" + "iopub.execute_input": "2024-07-11T23:25:46.645953Z", + "iopub.status.busy": "2024-07-11T23:25:46.645610Z", + "iopub.status.idle": "2024-07-11T23:25:47.375581Z", + "shell.execute_reply": "2024-07-11T23:25:47.374885Z" }, "id": "i_drkY9YOcw4" }, @@ -717,10 +717,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.809582Z", - "iopub.status.busy": "2024-07-09T06:22:26.809200Z", - "iopub.status.idle": "2024-07-09T06:22:26.813988Z", - "shell.execute_reply": "2024-07-09T06:22:26.813500Z" + "iopub.execute_input": "2024-07-11T23:25:47.378592Z", + "iopub.status.busy": "2024-07-11T23:25:47.378207Z", + "iopub.status.idle": "2024-07-11T23:25:47.383033Z", + "shell.execute_reply": "2024-07-11T23:25:47.382530Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -767,10 +767,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.817256Z", - "iopub.status.busy": "2024-07-09T06:22:26.816338Z", - "iopub.status.idle": "2024-07-09T06:22:26.913005Z", - "shell.execute_reply": "2024-07-09T06:22:26.912463Z" + "iopub.execute_input": "2024-07-11T23:25:47.385463Z", + "iopub.status.busy": "2024-07-11T23:25:47.385098Z", + "iopub.status.idle": "2024-07-11T23:25:47.495967Z", + "shell.execute_reply": "2024-07-11T23:25:47.495319Z" } }, "outputs": [ @@ -807,10 +807,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.915328Z", - "iopub.status.busy": "2024-07-09T06:22:26.914958Z", - "iopub.status.idle": "2024-07-09T06:22:26.927202Z", - "shell.execute_reply": "2024-07-09T06:22:26.926711Z" + "iopub.execute_input": "2024-07-11T23:25:47.498695Z", + "iopub.status.busy": "2024-07-11T23:25:47.498272Z", + "iopub.status.idle": "2024-07-11T23:25:47.511460Z", + "shell.execute_reply": "2024-07-11T23:25:47.511007Z" }, "scrolled": true }, @@ -870,10 +870,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.929241Z", - "iopub.status.busy": "2024-07-09T06:22:26.928921Z", - "iopub.status.idle": "2024-07-09T06:22:26.936556Z", - "shell.execute_reply": "2024-07-09T06:22:26.936102Z" + "iopub.execute_input": "2024-07-11T23:25:47.513628Z", + "iopub.status.busy": "2024-07-11T23:25:47.513332Z", + "iopub.status.idle": "2024-07-11T23:25:47.521307Z", + "shell.execute_reply": "2024-07-11T23:25:47.520769Z" } }, "outputs": [ @@ -977,10 +977,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.938661Z", - "iopub.status.busy": "2024-07-09T06:22:26.938342Z", - "iopub.status.idle": "2024-07-09T06:22:26.942738Z", - "shell.execute_reply": "2024-07-09T06:22:26.942303Z" + "iopub.execute_input": "2024-07-11T23:25:47.523326Z", + "iopub.status.busy": "2024-07-11T23:25:47.523145Z", + "iopub.status.idle": "2024-07-11T23:25:47.527590Z", + "shell.execute_reply": "2024-07-11T23:25:47.527052Z" } }, "outputs": [ @@ -1018,10 +1018,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.944805Z", - "iopub.status.busy": "2024-07-09T06:22:26.944495Z", - "iopub.status.idle": "2024-07-09T06:22:26.949937Z", - "shell.execute_reply": "2024-07-09T06:22:26.949446Z" + "iopub.execute_input": "2024-07-11T23:25:47.529658Z", + "iopub.status.busy": "2024-07-11T23:25:47.529333Z", + "iopub.status.idle": "2024-07-11T23:25:47.534929Z", + "shell.execute_reply": "2024-07-11T23:25:47.534370Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1148,10 +1148,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:26.951973Z", - "iopub.status.busy": "2024-07-09T06:22:26.951651Z", - "iopub.status.idle": "2024-07-09T06:22:27.069852Z", - "shell.execute_reply": "2024-07-09T06:22:27.069287Z" + "iopub.execute_input": "2024-07-11T23:25:47.537060Z", + "iopub.status.busy": "2024-07-11T23:25:47.536733Z", + "iopub.status.idle": "2024-07-11T23:25:47.649691Z", + "shell.execute_reply": "2024-07-11T23:25:47.649124Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1205,10 +1205,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:27.072192Z", - "iopub.status.busy": "2024-07-09T06:22:27.071729Z", - "iopub.status.idle": "2024-07-09T06:22:27.179313Z", - "shell.execute_reply": "2024-07-09T06:22:27.178807Z" + "iopub.execute_input": "2024-07-11T23:25:47.651956Z", + "iopub.status.busy": "2024-07-11T23:25:47.651597Z", + "iopub.status.idle": "2024-07-11T23:25:47.755776Z", + "shell.execute_reply": "2024-07-11T23:25:47.755223Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1253,10 +1253,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-07-09T06:22:27.181419Z", - "iopub.status.busy": "2024-07-09T06:22:27.181072Z", - "iopub.status.idle": "2024-07-09T06:22:27.284684Z", - "shell.execute_reply": "2024-07-09T06:22:27.284186Z" + "iopub.execute_input": "2024-07-11T23:25:47.758043Z", + "iopub.status.busy": "2024-07-11T23:25:47.757593Z", + "iopub.status.idle": "2024-07-11T23:25:47.863494Z", + "shell.execute_reply": "2024-07-11T23:25:47.862663Z" }, "id": "lfa2eHbMwG8R", "outputId": "6627ebe2-d439-4bf5-e2cb-44f6278ae86c" @@ -1297,10 +1297,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:27.286639Z", - "iopub.status.busy": "2024-07-09T06:22:27.286466Z", - "iopub.status.idle": "2024-07-09T06:22:27.389984Z", - "shell.execute_reply": "2024-07-09T06:22:27.389427Z" + "iopub.execute_input": "2024-07-11T23:25:47.865674Z", + "iopub.status.busy": "2024-07-11T23:25:47.865344Z", + "iopub.status.idle": "2024-07-11T23:25:47.969901Z", + "shell.execute_reply": "2024-07-11T23:25:47.969302Z" } }, "outputs": [ @@ -1348,10 +1348,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:27.392223Z", - "iopub.status.busy": "2024-07-09T06:22:27.391882Z", - "iopub.status.idle": "2024-07-09T06:22:27.395109Z", - "shell.execute_reply": 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"version_major": 2, "version_minor": 0} diff --git a/master/tutorials/datalab/datalab_advanced.ipynb b/master/tutorials/datalab/datalab_advanced.ipynb index 73ef9d94b..f601f0166 100644 --- a/master/tutorials/datalab/datalab_advanced.ipynb +++ b/master/tutorials/datalab/datalab_advanced.ipynb @@ -80,10 +80,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:31.204629Z", - "iopub.status.busy": "2024-07-09T06:22:31.204447Z", - "iopub.status.idle": "2024-07-09T06:22:32.372754Z", - "shell.execute_reply": "2024-07-09T06:22:32.372127Z" + "iopub.execute_input": "2024-07-11T23:25:51.823422Z", + "iopub.status.busy": "2024-07-11T23:25:51.823260Z", + "iopub.status.idle": "2024-07-11T23:25:53.001384Z", + "shell.execute_reply": "2024-07-11T23:25:53.000768Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -118,10 +118,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:32.375331Z", - "iopub.status.busy": "2024-07-09T06:22:32.374890Z", - "iopub.status.idle": "2024-07-09T06:22:32.377978Z", - "shell.execute_reply": "2024-07-09T06:22:32.377441Z" + "iopub.execute_input": "2024-07-11T23:25:53.004148Z", + "iopub.status.busy": "2024-07-11T23:25:53.003688Z", + "iopub.status.idle": "2024-07-11T23:25:53.006645Z", + "shell.execute_reply": "2024-07-11T23:25:53.006203Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:32.380095Z", - "iopub.status.busy": "2024-07-09T06:22:32.379830Z", - "iopub.status.idle": "2024-07-09T06:22:32.388412Z", - "shell.execute_reply": "2024-07-09T06:22:32.387959Z" + "iopub.execute_input": "2024-07-11T23:25:53.009029Z", + "iopub.status.busy": "2024-07-11T23:25:53.008549Z", + "iopub.status.idle": "2024-07-11T23:25:53.017194Z", + "shell.execute_reply": "2024-07-11T23:25:53.016743Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:32.390372Z", - "iopub.status.busy": "2024-07-09T06:22:32.390051Z", - "iopub.status.idle": "2024-07-09T06:22:32.394799Z", - "shell.execute_reply": "2024-07-09T06:22:32.394245Z" + "iopub.execute_input": "2024-07-11T23:25:53.019023Z", + "iopub.status.busy": "2024-07-11T23:25:53.018850Z", + "iopub.status.idle": "2024-07-11T23:25:53.024010Z", + "shell.execute_reply": "2024-07-11T23:25:53.023464Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:32.396873Z", - "iopub.status.busy": "2024-07-09T06:22:32.396576Z", - "iopub.status.idle": "2024-07-09T06:22:32.582697Z", - "shell.execute_reply": "2024-07-09T06:22:32.582077Z" + "iopub.execute_input": "2024-07-11T23:25:53.026525Z", + "iopub.status.busy": "2024-07-11T23:25:53.026078Z", + "iopub.status.idle": "2024-07-11T23:25:53.210194Z", + "shell.execute_reply": "2024-07-11T23:25:53.209545Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:32.585043Z", - "iopub.status.busy": "2024-07-09T06:22:32.584844Z", - "iopub.status.idle": "2024-07-09T06:22:32.959426Z", - "shell.execute_reply": "2024-07-09T06:22:32.958831Z" + "iopub.execute_input": "2024-07-11T23:25:53.212563Z", + "iopub.status.busy": "2024-07-11T23:25:53.212353Z", + "iopub.status.idle": "2024-07-11T23:25:53.586412Z", + "shell.execute_reply": 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} }, - "39e9da6fa70e44bea4cd6db6fbb2a1b9": { + "3da531c66e024be4827f831a6b333709": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1587,7 +1591,7 @@ "width": null } }, - "4f663e6b17ca4c42bf50adc567d16ba7": { + "51fb4ddf8ca941a0b67860bfd69f86c8": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1640,7 +1644,7 @@ "width": null } }, - "53f5526f4be149a09e57d6eddb464297": { + "55b50da0d75848099545eedfff230300": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1693,31 +1697,7 @@ "width": null } }, - "74c24ad981f147efb352816e9dafec11": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", - "_view_count": null, 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"display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } } }, diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb index ce137ebae..3563d4cb8 100644 --- a/master/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/tutorials/datalab/datalab_quickstart.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:37.993129Z", - "iopub.status.busy": "2024-07-09T06:22:37.992951Z", - "iopub.status.idle": "2024-07-09T06:22:39.161512Z", - "shell.execute_reply": "2024-07-09T06:22:39.160977Z" + "iopub.execute_input": "2024-07-11T23:25:58.531286Z", + "iopub.status.busy": "2024-07-11T23:25:58.531095Z", + "iopub.status.idle": "2024-07-11T23:25:59.734561Z", + "shell.execute_reply": "2024-07-11T23:25:59.733895Z" }, "nbsphinx": "hidden" }, @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -116,10 +116,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.163953Z", - "iopub.status.busy": "2024-07-09T06:22:39.163675Z", - "iopub.status.idle": "2024-07-09T06:22:39.167013Z", - "shell.execute_reply": "2024-07-09T06:22:39.166442Z" + "iopub.execute_input": "2024-07-11T23:25:59.737097Z", + "iopub.status.busy": "2024-07-11T23:25:59.736806Z", + "iopub.status.idle": "2024-07-11T23:25:59.739983Z", + "shell.execute_reply": "2024-07-11T23:25:59.739545Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.169075Z", - "iopub.status.busy": "2024-07-09T06:22:39.168891Z", - "iopub.status.idle": "2024-07-09T06:22:39.178038Z", - "shell.execute_reply": "2024-07-09T06:22:39.177537Z" + "iopub.execute_input": "2024-07-11T23:25:59.742067Z", + "iopub.status.busy": "2024-07-11T23:25:59.741767Z", + "iopub.status.idle": "2024-07-11T23:25:59.750717Z", + "shell.execute_reply": "2024-07-11T23:25:59.750180Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.180209Z", - "iopub.status.busy": "2024-07-09T06:22:39.179770Z", - "iopub.status.idle": "2024-07-09T06:22:39.185024Z", - "shell.execute_reply": "2024-07-09T06:22:39.184472Z" + "iopub.execute_input": "2024-07-11T23:25:59.752754Z", + "iopub.status.busy": "2024-07-11T23:25:59.752413Z", + "iopub.status.idle": "2024-07-11T23:25:59.756997Z", + "shell.execute_reply": "2024-07-11T23:25:59.756573Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.187067Z", - "iopub.status.busy": "2024-07-09T06:22:39.186875Z", - "iopub.status.idle": "2024-07-09T06:22:39.372545Z", - "shell.execute_reply": "2024-07-09T06:22:39.372057Z" + "iopub.execute_input": "2024-07-11T23:25:59.759076Z", + "iopub.status.busy": "2024-07-11T23:25:59.758737Z", + "iopub.status.idle": "2024-07-11T23:25:59.943464Z", + "shell.execute_reply": "2024-07-11T23:25:59.942915Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.375070Z", - "iopub.status.busy": "2024-07-09T06:22:39.374695Z", - "iopub.status.idle": "2024-07-09T06:22:39.746103Z", - "shell.execute_reply": "2024-07-09T06:22:39.745532Z" + "iopub.execute_input": "2024-07-11T23:25:59.945888Z", + "iopub.status.busy": "2024-07-11T23:25:59.945518Z", + "iopub.status.idle": "2024-07-11T23:26:00.318175Z", + "shell.execute_reply": "2024-07-11T23:26:00.317554Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.748354Z", - "iopub.status.busy": "2024-07-09T06:22:39.747948Z", - "iopub.status.idle": "2024-07-09T06:22:39.750850Z", - "shell.execute_reply": "2024-07-09T06:22:39.750287Z" + "iopub.execute_input": "2024-07-11T23:26:00.320296Z", + "iopub.status.busy": "2024-07-11T23:26:00.320110Z", + "iopub.status.idle": "2024-07-11T23:26:00.322938Z", + "shell.execute_reply": "2024-07-11T23:26:00.322480Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.752967Z", - "iopub.status.busy": "2024-07-09T06:22:39.752650Z", - "iopub.status.idle": "2024-07-09T06:22:39.786581Z", - "shell.execute_reply": "2024-07-09T06:22:39.786005Z" + "iopub.execute_input": "2024-07-11T23:26:00.324829Z", + "iopub.status.busy": "2024-07-11T23:26:00.324653Z", + "iopub.status.idle": "2024-07-11T23:26:00.358330Z", + "shell.execute_reply": "2024-07-11T23:26:00.357877Z" } }, "outputs": [], @@ -638,10 +638,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:39.788986Z", - "iopub.status.busy": "2024-07-09T06:22:39.788562Z", - "iopub.status.idle": "2024-07-09T06:22:41.833490Z", - "shell.execute_reply": "2024-07-09T06:22:41.832904Z" + "iopub.execute_input": "2024-07-11T23:26:00.360239Z", + "iopub.status.busy": "2024-07-11T23:26:00.360063Z", + "iopub.status.idle": "2024-07-11T23:26:02.511453Z", + "shell.execute_reply": "2024-07-11T23:26:02.510818Z" } }, "outputs": [ @@ -685,10 +685,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.836099Z", - "iopub.status.busy": "2024-07-09T06:22:41.835607Z", - "iopub.status.idle": "2024-07-09T06:22:41.853902Z", - "shell.execute_reply": "2024-07-09T06:22:41.853447Z" + "iopub.execute_input": "2024-07-11T23:26:02.514072Z", + "iopub.status.busy": "2024-07-11T23:26:02.513646Z", + "iopub.status.idle": "2024-07-11T23:26:02.532654Z", + "shell.execute_reply": "2024-07-11T23:26:02.532185Z" } }, "outputs": [ @@ -821,10 +821,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.855942Z", - "iopub.status.busy": "2024-07-09T06:22:41.855674Z", - "iopub.status.idle": "2024-07-09T06:22:41.862009Z", - "shell.execute_reply": "2024-07-09T06:22:41.861577Z" + "iopub.execute_input": "2024-07-11T23:26:02.534751Z", + "iopub.status.busy": "2024-07-11T23:26:02.534404Z", + "iopub.status.idle": "2024-07-11T23:26:02.540841Z", + "shell.execute_reply": "2024-07-11T23:26:02.540389Z" } }, "outputs": [ @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.864048Z", - "iopub.status.busy": "2024-07-09T06:22:41.863746Z", - "iopub.status.idle": "2024-07-09T06:22:41.869497Z", - "shell.execute_reply": "2024-07-09T06:22:41.869049Z" + "iopub.execute_input": "2024-07-11T23:26:02.542864Z", + "iopub.status.busy": "2024-07-11T23:26:02.542525Z", + "iopub.status.idle": "2024-07-11T23:26:02.548374Z", + "shell.execute_reply": "2024-07-11T23:26:02.547908Z" } }, "outputs": [ @@ -1005,10 +1005,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.871525Z", - "iopub.status.busy": "2024-07-09T06:22:41.871197Z", - "iopub.status.idle": "2024-07-09T06:22:41.881508Z", - "shell.execute_reply": "2024-07-09T06:22:41.881073Z" + "iopub.execute_input": "2024-07-11T23:26:02.550375Z", + "iopub.status.busy": "2024-07-11T23:26:02.550074Z", + "iopub.status.idle": "2024-07-11T23:26:02.560543Z", + "shell.execute_reply": "2024-07-11T23:26:02.559978Z" } }, "outputs": [ @@ -1200,10 +1200,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.883405Z", - "iopub.status.busy": "2024-07-09T06:22:41.883229Z", - "iopub.status.idle": "2024-07-09T06:22:41.892315Z", - "shell.execute_reply": "2024-07-09T06:22:41.891876Z" + "iopub.execute_input": "2024-07-11T23:26:02.562596Z", + "iopub.status.busy": "2024-07-11T23:26:02.562280Z", + "iopub.status.idle": "2024-07-11T23:26:02.571253Z", + "shell.execute_reply": "2024-07-11T23:26:02.570704Z" } }, "outputs": [ @@ -1319,10 +1319,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.894287Z", - "iopub.status.busy": "2024-07-09T06:22:41.894105Z", - "iopub.status.idle": "2024-07-09T06:22:41.900998Z", - "shell.execute_reply": "2024-07-09T06:22:41.900471Z" + "iopub.execute_input": "2024-07-11T23:26:02.573307Z", + "iopub.status.busy": "2024-07-11T23:26:02.572968Z", + "iopub.status.idle": "2024-07-11T23:26:02.579945Z", + "shell.execute_reply": "2024-07-11T23:26:02.579485Z" }, "scrolled": true }, @@ -1447,10 +1447,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.903078Z", - "iopub.status.busy": "2024-07-09T06:22:41.902737Z", - "iopub.status.idle": "2024-07-09T06:22:41.912055Z", - "shell.execute_reply": "2024-07-09T06:22:41.911568Z" + "iopub.execute_input": "2024-07-11T23:26:02.581945Z", + "iopub.status.busy": "2024-07-11T23:26:02.581634Z", + "iopub.status.idle": "2024-07-11T23:26:02.590871Z", + "shell.execute_reply": "2024-07-11T23:26:02.590326Z" } }, "outputs": [ @@ -1553,10 +1553,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:41.914091Z", - "iopub.status.busy": "2024-07-09T06:22:41.913764Z", - "iopub.status.idle": "2024-07-09T06:22:41.929676Z", - "shell.execute_reply": "2024-07-09T06:22:41.929121Z" + "iopub.execute_input": "2024-07-11T23:26:02.593005Z", + "iopub.status.busy": "2024-07-11T23:26:02.592652Z", + "iopub.status.idle": "2024-07-11T23:26:02.607769Z", + "shell.execute_reply": "2024-07-11T23:26:02.607327Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/image.html b/master/tutorials/datalab/image.html index 957106402..78d524c61 100644 --- a/master/tutorials/datalab/image.html +++ b/master/tutorials/datalab/image.html @@ -727,49 +727,49 @@

2. Fetch and normalize the Fashion-MNIST dataset

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[3]:
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2. Fetch and normalize the Fashion-MNIST dataset
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Convert the transformed dataset to a torch dataset. Torch datasets are more efficient with dataloading in practice.

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5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 1 ...
-epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.752
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.660
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.938
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.933
 Computing feature embeddings ...

@@ -1082,7 +1082,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
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5. Compute out-of-sample predicted probabilities and feature embeddings

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5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 2 ...
-epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.676
-epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.516
+epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.060
+epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.728
 Computing feature embeddings ...

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5. Compute out-of-sample predicted probabilities and feature embeddings
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5. Compute out-of-sample predicted probabilities and feature embeddings

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5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 3 ...
-epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.705
-epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.374
+epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 5.057
+epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.815
 Computing feature embeddings ...

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5. Compute out-of-sample predicted probabilities and feature embeddings
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5. Compute out-of-sample predicted probabilities and feature embeddings

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7. Use cleanlab to find issues

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Low information images - is_low_information_issue low_information_score + is_low_information_issue 53050 - True 0.067975 + True 40875 - True 0.089929 + True 9594 - True 0.092601 + True 34825 - True 0.107744 + True 37530 - True 0.108516 + True @@ -2115,7 +2115,7 @@

Easy ModeCleanlab Studio which will automatically produce one for you. Super easy to use, Cleanlab Studio is no-code platform for data-centric AI that automatically: detects data issues (more types of issues than this cleanlab package), helps you quickly correct these data issues, confidently labels large subsets of an unlabeled dataset, and provides other smart metadata about each of your data points – all powered by a system that automatically trains/deploys the best ML model for your data. Try it for free!

diff --git a/master/tutorials/datalab/image.ipynb b/master/tutorials/datalab/image.ipynb index 7643450d8..80c19f468 100644 --- a/master/tutorials/datalab/image.ipynb +++ b/master/tutorials/datalab/image.ipynb @@ -71,10 +71,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:44.582459Z", - "iopub.status.busy": "2024-07-09T06:22:44.582285Z", - "iopub.status.idle": "2024-07-09T06:22:47.462723Z", - "shell.execute_reply": "2024-07-09T06:22:47.462156Z" + "iopub.execute_input": "2024-07-11T23:26:05.380075Z", + "iopub.status.busy": "2024-07-11T23:26:05.379896Z", + "iopub.status.idle": "2024-07-11T23:26:08.376536Z", + "shell.execute_reply": "2024-07-11T23:26:08.375965Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:47.465496Z", - "iopub.status.busy": "2024-07-09T06:22:47.464992Z", - "iopub.status.idle": "2024-07-09T06:22:47.468609Z", - "shell.execute_reply": "2024-07-09T06:22:47.468171Z" + "iopub.execute_input": "2024-07-11T23:26:08.379263Z", + "iopub.status.busy": "2024-07-11T23:26:08.378783Z", + "iopub.status.idle": "2024-07-11T23:26:08.382282Z", + "shell.execute_reply": "2024-07-11T23:26:08.381814Z" } }, "outputs": [], @@ -152,17 +152,17 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:47.470675Z", - "iopub.status.busy": "2024-07-09T06:22:47.470354Z", - "iopub.status.idle": "2024-07-09T06:22:59.043271Z", - "shell.execute_reply": "2024-07-09T06:22:59.042771Z" + "iopub.execute_input": "2024-07-11T23:26:08.384257Z", + "iopub.status.busy": "2024-07-11T23:26:08.384075Z", + "iopub.status.idle": "2024-07-11T23:26:20.506699Z", + "shell.execute_reply": "2024-07-11T23:26:20.506120Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "06dcb12093be456cb352de6ce861659f", + "model_id": "8feed751446c42d6aaa2dbd4806dfb02", "version_major": 2, "version_minor": 0 }, @@ -176,7 +176,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "790aee9705fa42f79ce0f8850fc28992", + "model_id": "5c71a24e6e4a46e6b0476362d6f6a373", "version_major": 2, "version_minor": 0 }, @@ -190,7 +190,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "215e8fef035f4d37a36a704de452b760", + "model_id": "2431327b8b754969a6b108804f8ca832", "version_major": 2, "version_minor": 0 }, @@ -204,7 +204,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e74d0f623f774aa5a1554c10228f1654", + "model_id": "a4b03cc20f664072a2d629ca64828dfa", "version_major": 2, "version_minor": 0 }, @@ -218,7 +218,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f85257acca8547839184b5f056eac10e", + "model_id": "fb2d63ced790495d9043be01f6120f18", "version_major": 2, "version_minor": 0 }, @@ -232,7 +232,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e9632dad724b4651afed5367d50e22c4", + "model_id": "494f520edd6643a6af2d134eb9f74191", "version_major": 2, "version_minor": 0 }, @@ -246,7 +246,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9b540e1a55a4d16ad1b5a90f594ee47", + "model_id": "94f045cbe27743848e23223a5e393ea1", "version_major": 2, "version_minor": 0 }, @@ -260,7 +260,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "22b9600afaf14805a96622049f592034", + "model_id": "a99e55aa41f14516be50bd70062d4f9d", "version_major": 2, "version_minor": 0 }, @@ -302,10 +302,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:59.045398Z", - "iopub.status.busy": "2024-07-09T06:22:59.045117Z", - "iopub.status.idle": "2024-07-09T06:22:59.048809Z", - "shell.execute_reply": "2024-07-09T06:22:59.048389Z" + "iopub.execute_input": "2024-07-11T23:26:20.509050Z", + "iopub.status.busy": "2024-07-11T23:26:20.508623Z", + "iopub.status.idle": "2024-07-11T23:26:20.512569Z", + "shell.execute_reply": "2024-07-11T23:26:20.512120Z" } }, "outputs": [ @@ -330,17 +330,17 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:22:59.050786Z", - "iopub.status.busy": "2024-07-09T06:22:59.050475Z", - "iopub.status.idle": "2024-07-09T06:23:10.550360Z", - "shell.execute_reply": "2024-07-09T06:23:10.549830Z" + "iopub.execute_input": "2024-07-11T23:26:20.514763Z", + "iopub.status.busy": "2024-07-11T23:26:20.514332Z", + "iopub.status.idle": "2024-07-11T23:26:32.038620Z", + "shell.execute_reply": "2024-07-11T23:26:32.037916Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4dc3098204c343329173882a90c17240", + "model_id": "5b829a4dfc844fba9c4348d1339b4549", "version_major": 2, "version_minor": 0 }, @@ -378,10 +378,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:10.553016Z", - "iopub.status.busy": "2024-07-09T06:23:10.552718Z", - "iopub.status.idle": "2024-07-09T06:23:28.623727Z", - "shell.execute_reply": "2024-07-09T06:23:28.623090Z" + "iopub.execute_input": "2024-07-11T23:26:32.041262Z", + "iopub.status.busy": "2024-07-11T23:26:32.041016Z", + "iopub.status.idle": "2024-07-11T23:26:50.654873Z", + "shell.execute_reply": "2024-07-11T23:26:50.654222Z" } }, "outputs": [], @@ -414,10 +414,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:28.626614Z", - "iopub.status.busy": "2024-07-09T06:23:28.626243Z", - "iopub.status.idle": "2024-07-09T06:23:28.631908Z", - "shell.execute_reply": "2024-07-09T06:23:28.631461Z" + "iopub.execute_input": "2024-07-11T23:26:50.657669Z", + "iopub.status.busy": "2024-07-11T23:26:50.657319Z", + "iopub.status.idle": "2024-07-11T23:26:50.662150Z", + "shell.execute_reply": "2024-07-11T23:26:50.661667Z" } }, "outputs": [], @@ -455,10 +455,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:28.633766Z", - "iopub.status.busy": "2024-07-09T06:23:28.633587Z", - "iopub.status.idle": "2024-07-09T06:23:28.637822Z", - "shell.execute_reply": "2024-07-09T06:23:28.637289Z" + "iopub.execute_input": "2024-07-11T23:26:50.664017Z", + "iopub.status.busy": "2024-07-11T23:26:50.663833Z", + "iopub.status.idle": "2024-07-11T23:26:50.668098Z", + "shell.execute_reply": "2024-07-11T23:26:50.667542Z" }, "nbsphinx": "hidden" }, @@ -595,10 +595,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:28.640034Z", - "iopub.status.busy": "2024-07-09T06:23:28.639708Z", - "iopub.status.idle": "2024-07-09T06:23:28.648404Z", - "shell.execute_reply": "2024-07-09T06:23:28.647970Z" + "iopub.execute_input": "2024-07-11T23:26:50.670408Z", + "iopub.status.busy": "2024-07-11T23:26:50.669985Z", + "iopub.status.idle": "2024-07-11T23:26:50.678963Z", + "shell.execute_reply": "2024-07-11T23:26:50.678494Z" }, "nbsphinx": "hidden" }, @@ -723,10 +723,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:28.650474Z", - "iopub.status.busy": "2024-07-09T06:23:28.650156Z", - "iopub.status.idle": "2024-07-09T06:23:28.677896Z", - "shell.execute_reply": "2024-07-09T06:23:28.677458Z" + "iopub.execute_input": "2024-07-11T23:26:50.680864Z", + "iopub.status.busy": "2024-07-11T23:26:50.680690Z", + "iopub.status.idle": "2024-07-11T23:26:50.707691Z", + "shell.execute_reply": "2024-07-11T23:26:50.707097Z" } }, "outputs": [], @@ -763,10 +763,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:23:28.679944Z", - "iopub.status.busy": "2024-07-09T06:23:28.679632Z", - "iopub.status.idle": "2024-07-09T06:24:00.730609Z", - "shell.execute_reply": "2024-07-09T06:24:00.729889Z" + "iopub.execute_input": "2024-07-11T23:26:50.709892Z", + "iopub.status.busy": "2024-07-11T23:26:50.709713Z", + "iopub.status.idle": "2024-07-11T23:27:24.793801Z", + "shell.execute_reply": "2024-07-11T23:27:24.793151Z" } }, "outputs": [ @@ -782,21 +782,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.752\n" + "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.938\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.660\n", + "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.933\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2d1e313f048a4f3a8de23b028b96ac30", + "model_id": "b29a38c567754ff0bcc7fa7cb17fc671", "version_major": 2, "version_minor": 0 }, @@ -817,7 +817,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2fc5c7705c8a411696033cba51b98414", + "model_id": "ac420dd4eaa64f0f9e30fd199e80bc08", "version_major": 2, "version_minor": 0 }, @@ -840,21 +840,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.676\n" + "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.060\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.516\n", + "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.728\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2441a271713941f58f78b8fda33f4ac6", + "model_id": "e9761a93b0b141bd91044f4c22289e6d", "version_major": 2, "version_minor": 0 }, @@ -875,7 +875,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3e2096230a38431c8485c89adab185e8", + "model_id": "3a017f405d8f462babd0c1cf8efff052", "version_major": 2, "version_minor": 0 }, @@ -898,21 +898,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.705\n" + "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 5.057\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.374\n", + "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.815\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e85162633bd84b0c8065890dd355820b", + "model_id": "f41398ae64bc4316a9315c7c675f66bc", "version_major": 2, "version_minor": 0 }, @@ -933,7 +933,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b587a2728e9640d8a9ca1b92d99742fb", + "model_id": "e111fc31bef446589348e8914c03ecff", "version_major": 2, "version_minor": 0 }, @@ -1012,10 +1012,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:24:00.733259Z", - "iopub.status.busy": "2024-07-09T06:24:00.732863Z", - "iopub.status.idle": "2024-07-09T06:24:00.747461Z", - "shell.execute_reply": "2024-07-09T06:24:00.746842Z" + "iopub.execute_input": "2024-07-11T23:27:24.796598Z", + "iopub.status.busy": "2024-07-11T23:27:24.796110Z", + "iopub.status.idle": "2024-07-11T23:27:24.810691Z", + "shell.execute_reply": "2024-07-11T23:27:24.810247Z" } }, "outputs": [], @@ -1040,10 +1040,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:24:00.750028Z", - "iopub.status.busy": "2024-07-09T06:24:00.749413Z", - "iopub.status.idle": "2024-07-09T06:24:01.220584Z", - "shell.execute_reply": "2024-07-09T06:24:01.220037Z" + "iopub.execute_input": "2024-07-11T23:27:24.812874Z", + "iopub.status.busy": "2024-07-11T23:27:24.812482Z", + "iopub.status.idle": "2024-07-11T23:27:25.290716Z", + "shell.execute_reply": "2024-07-11T23:27:25.290073Z" } }, "outputs": [], @@ -1063,10 +1063,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:24:01.222996Z", - "iopub.status.busy": "2024-07-09T06:24:01.222634Z", - "iopub.status.idle": "2024-07-09T06:25:37.104449Z", - "shell.execute_reply": "2024-07-09T06:25:37.103860Z" + "iopub.execute_input": "2024-07-11T23:27:25.293269Z", + "iopub.status.busy": "2024-07-11T23:27:25.293082Z", + "iopub.status.idle": "2024-07-11T23:29:03.814145Z", + "shell.execute_reply": "2024-07-11T23:29:03.813464Z" } }, "outputs": [ @@ -1105,7 +1105,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6a90dd6a6a2443a98bde0d45de0efdde", + "model_id": "3292f4de5dcb4c529c425ad60505b030", "version_major": 2, "version_minor": 0 }, @@ -1144,10 +1144,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:37.106884Z", - "iopub.status.busy": "2024-07-09T06:25:37.106446Z", - "iopub.status.idle": "2024-07-09T06:25:37.555548Z", - "shell.execute_reply": "2024-07-09T06:25:37.554986Z" + "iopub.execute_input": "2024-07-11T23:29:03.816541Z", + "iopub.status.busy": "2024-07-11T23:29:03.816157Z", + "iopub.status.idle": "2024-07-11T23:29:04.268371Z", + "shell.execute_reply": "2024-07-11T23:29:04.267794Z" } }, "outputs": [ @@ -1293,10 +1293,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:37.558429Z", - "iopub.status.busy": "2024-07-09T06:25:37.557965Z", - "iopub.status.idle": "2024-07-09T06:25:37.620886Z", - "shell.execute_reply": "2024-07-09T06:25:37.620404Z" + "iopub.execute_input": "2024-07-11T23:29:04.271270Z", + "iopub.status.busy": "2024-07-11T23:29:04.270735Z", + "iopub.status.idle": "2024-07-11T23:29:04.333577Z", + "shell.execute_reply": "2024-07-11T23:29:04.333021Z" } }, "outputs": [ @@ -1400,10 +1400,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:37.623179Z", - "iopub.status.busy": "2024-07-09T06:25:37.622863Z", - "iopub.status.idle": "2024-07-09T06:25:37.632155Z", - "shell.execute_reply": "2024-07-09T06:25:37.631723Z" + "iopub.execute_input": "2024-07-11T23:29:04.335624Z", + "iopub.status.busy": "2024-07-11T23:29:04.335441Z", + "iopub.status.idle": "2024-07-11T23:29:04.344118Z", + "shell.execute_reply": "2024-07-11T23:29:04.343655Z" } }, "outputs": [ @@ -1533,10 +1533,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:37.634200Z", - "iopub.status.busy": "2024-07-09T06:25:37.633914Z", - "iopub.status.idle": "2024-07-09T06:25:37.638563Z", - "shell.execute_reply": "2024-07-09T06:25:37.638106Z" + "iopub.execute_input": "2024-07-11T23:29:04.345967Z", + "iopub.status.busy": "2024-07-11T23:29:04.345792Z", + "iopub.status.idle": "2024-07-11T23:29:04.350504Z", + "shell.execute_reply": "2024-07-11T23:29:04.349929Z" }, "nbsphinx": "hidden" }, @@ -1582,10 +1582,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:37.640623Z", - "iopub.status.busy": "2024-07-09T06:25:37.640325Z", - "iopub.status.idle": "2024-07-09T06:25:38.149293Z", - "shell.execute_reply": "2024-07-09T06:25:38.148744Z" + "iopub.execute_input": "2024-07-11T23:29:04.352504Z", + "iopub.status.busy": "2024-07-11T23:29:04.352324Z", + "iopub.status.idle": "2024-07-11T23:29:04.863489Z", + "shell.execute_reply": "2024-07-11T23:29:04.862847Z" } }, "outputs": [ @@ -1620,10 +1620,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.151396Z", - "iopub.status.busy": "2024-07-09T06:25:38.151125Z", - "iopub.status.idle": "2024-07-09T06:25:38.159704Z", - "shell.execute_reply": "2024-07-09T06:25:38.159246Z" + "iopub.execute_input": "2024-07-11T23:29:04.865954Z", + "iopub.status.busy": "2024-07-11T23:29:04.865583Z", + "iopub.status.idle": "2024-07-11T23:29:04.874354Z", + "shell.execute_reply": "2024-07-11T23:29:04.873764Z" } }, "outputs": [ @@ -1790,10 +1790,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.161796Z", - "iopub.status.busy": "2024-07-09T06:25:38.161530Z", - "iopub.status.idle": "2024-07-09T06:25:38.168634Z", - "shell.execute_reply": "2024-07-09T06:25:38.168169Z" + "iopub.execute_input": "2024-07-11T23:29:04.876589Z", + "iopub.status.busy": "2024-07-11T23:29:04.876314Z", + "iopub.status.idle": "2024-07-11T23:29:04.883493Z", + "shell.execute_reply": "2024-07-11T23:29:04.883006Z" }, "nbsphinx": "hidden" }, @@ -1869,10 +1869,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.170647Z", - "iopub.status.busy": "2024-07-09T06:25:38.170331Z", - "iopub.status.idle": "2024-07-09T06:25:38.896076Z", - "shell.execute_reply": "2024-07-09T06:25:38.895490Z" + "iopub.execute_input": "2024-07-11T23:29:04.885330Z", + "iopub.status.busy": "2024-07-11T23:29:04.885154Z", + "iopub.status.idle": "2024-07-11T23:29:05.651852Z", + "shell.execute_reply": "2024-07-11T23:29:05.651212Z" } }, "outputs": [ @@ -1909,10 +1909,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.898304Z", - "iopub.status.busy": "2024-07-09T06:25:38.897893Z", - "iopub.status.idle": "2024-07-09T06:25:38.913887Z", - "shell.execute_reply": "2024-07-09T06:25:38.913315Z" + "iopub.execute_input": "2024-07-11T23:29:05.654391Z", + "iopub.status.busy": "2024-07-11T23:29:05.654029Z", + "iopub.status.idle": "2024-07-11T23:29:05.669561Z", + "shell.execute_reply": "2024-07-11T23:29:05.669062Z" } }, "outputs": [ @@ -2069,10 +2069,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.916427Z", - "iopub.status.busy": "2024-07-09T06:25:38.916013Z", - "iopub.status.idle": "2024-07-09T06:25:38.921757Z", - "shell.execute_reply": "2024-07-09T06:25:38.921224Z" + "iopub.execute_input": "2024-07-11T23:29:05.671780Z", + "iopub.status.busy": "2024-07-11T23:29:05.671432Z", + "iopub.status.idle": "2024-07-11T23:29:05.676868Z", + "shell.execute_reply": "2024-07-11T23:29:05.676426Z" }, "nbsphinx": "hidden" }, @@ -2117,10 +2117,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:38.924037Z", - "iopub.status.busy": "2024-07-09T06:25:38.923722Z", - "iopub.status.idle": "2024-07-09T06:25:39.389398Z", - "shell.execute_reply": "2024-07-09T06:25:39.388872Z" + "iopub.execute_input": "2024-07-11T23:29:05.678917Z", + "iopub.status.busy": "2024-07-11T23:29:05.678586Z", + "iopub.status.idle": "2024-07-11T23:29:06.082761Z", + "shell.execute_reply": "2024-07-11T23:29:06.081751Z" } }, "outputs": [ @@ -2202,10 +2202,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.392016Z", - "iopub.status.busy": "2024-07-09T06:25:39.391689Z", - "iopub.status.idle": "2024-07-09T06:25:39.400809Z", - "shell.execute_reply": "2024-07-09T06:25:39.400322Z" + "iopub.execute_input": "2024-07-11T23:29:06.085211Z", + "iopub.status.busy": "2024-07-11T23:29:06.085014Z", + "iopub.status.idle": "2024-07-11T23:29:06.094194Z", + "shell.execute_reply": "2024-07-11T23:29:06.093492Z" } }, "outputs": [ @@ -2333,10 +2333,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.403252Z", - "iopub.status.busy": "2024-07-09T06:25:39.402932Z", - "iopub.status.idle": "2024-07-09T06:25:39.408523Z", - "shell.execute_reply": "2024-07-09T06:25:39.408038Z" + "iopub.execute_input": "2024-07-11T23:29:06.096454Z", + "iopub.status.busy": "2024-07-11T23:29:06.096270Z", + "iopub.status.idle": "2024-07-11T23:29:06.101345Z", + "shell.execute_reply": "2024-07-11T23:29:06.100644Z" }, "nbsphinx": "hidden" }, @@ -2373,10 +2373,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.410787Z", - "iopub.status.busy": "2024-07-09T06:25:39.410472Z", - "iopub.status.idle": "2024-07-09T06:25:39.613099Z", - "shell.execute_reply": "2024-07-09T06:25:39.612513Z" + "iopub.execute_input": "2024-07-11T23:29:06.103539Z", + "iopub.status.busy": "2024-07-11T23:29:06.103360Z", + "iopub.status.idle": "2024-07-11T23:29:06.278507Z", + "shell.execute_reply": "2024-07-11T23:29:06.277809Z" } }, "outputs": [ @@ -2418,10 +2418,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.615178Z", - "iopub.status.busy": "2024-07-09T06:25:39.615000Z", - "iopub.status.idle": "2024-07-09T06:25:39.623056Z", - "shell.execute_reply": "2024-07-09T06:25:39.622584Z" + "iopub.execute_input": "2024-07-11T23:29:06.281030Z", + "iopub.status.busy": "2024-07-11T23:29:06.280541Z", + "iopub.status.idle": "2024-07-11T23:29:06.288653Z", + "shell.execute_reply": "2024-07-11T23:29:06.288080Z" } }, "outputs": [ @@ -2446,47 +2446,47 @@ " \n", " \n", " \n", - " is_low_information_issue\n", " low_information_score\n", + " is_low_information_issue\n", " \n", " \n", " \n", " \n", " 53050\n", - " True\n", " 0.067975\n", + " True\n", " \n", " \n", " 40875\n", - " True\n", " 0.089929\n", + " True\n", " \n", " \n", " 9594\n", - " True\n", " 0.092601\n", + " True\n", " \n", " \n", " 34825\n", - " True\n", " 0.107744\n", + " True\n", " \n", " \n", " 37530\n", - " True\n", " 0.108516\n", + " True\n", " \n", " \n", "\n", "

" ], "text/plain": [ - " is_low_information_issue low_information_score\n", - "53050 True 0.067975\n", - "40875 True 0.089929\n", - "9594 True 0.092601\n", - "34825 True 0.107744\n", - "37530 True 0.108516" + " low_information_score is_low_information_issue\n", + "53050 0.067975 True\n", + "40875 0.089929 True\n", + "9594 0.092601 True\n", + "34825 0.107744 True\n", + "37530 0.108516 True" ] }, "execution_count": 29, @@ -2507,10 +2507,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.624851Z", - "iopub.status.busy": "2024-07-09T06:25:39.624680Z", - "iopub.status.idle": "2024-07-09T06:25:39.818392Z", - "shell.execute_reply": "2024-07-09T06:25:39.817872Z" + "iopub.execute_input": "2024-07-11T23:29:06.290823Z", + "iopub.status.busy": "2024-07-11T23:29:06.290372Z", + "iopub.status.idle": "2024-07-11T23:29:06.483993Z", + "shell.execute_reply": "2024-07-11T23:29:06.483464Z" } }, "outputs": [ @@ -2550,10 +2550,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:39.820461Z", - "iopub.status.busy": "2024-07-09T06:25:39.820284Z", - "iopub.status.idle": "2024-07-09T06:25:39.824833Z", - "shell.execute_reply": "2024-07-09T06:25:39.824377Z" + "iopub.execute_input": "2024-07-11T23:29:06.486462Z", + "iopub.status.busy": "2024-07-11T23:29:06.485967Z", + "iopub.status.idle": "2024-07-11T23:29:06.490704Z", + "shell.execute_reply": "2024-07-11T23:29:06.490131Z" }, "nbsphinx": "hidden" }, @@ -2590,43 +2590,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0048ce4822394612977d54522f371396": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - 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"layout": "IPY_MODEL_07de4e87697443a892880c15d1e511c6", + "layout": "IPY_MODEL_252c74ac926949bca01f866ddfb93402", "placeholder": "​", - "style": "IPY_MODEL_440697a08c6346efa46be2fb03bac8e0", + "style": "IPY_MODEL_83a18f69aed54dd5b886fc463424c44d", "tabbable": null, "tooltip": null, - "value": " 60000/60000 [00:36<00:00, 1657.88it/s]" + "value": "Generating test split: 100%" } }, - "f9b540e1a55a4d16ad1b5a90f594ee47": { + "fb2d63ced790495d9043be01f6120f18": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", @@ -8525,42 +8595,16 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_82fc78533dbc46d08a781919716d2335", - "IPY_MODEL_5ea8be39dce64842a42fe020b19fc090", - "IPY_MODEL_bbad93a33def4b229788aa20849516bd" + "IPY_MODEL_5611f48bfe5649669d6cf95001a05bbf", + "IPY_MODEL_c35a9e6279d64076af35d2f27bb3c1f1", + "IPY_MODEL_783d27ea5d684732aa739d3bdc700756" ], - "layout": "IPY_MODEL_1d30818e74e74811938c25e51402dba7", + "layout": "IPY_MODEL_4b84e2df5a2d4d578c1505f884fe5ec0", "tabbable": null, "tooltip": null } }, - "fa1df74fd9f543a1bcb1d473ae793b1c": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_bf1ddb949cc4482ba290bb117f55ea82", - "max": 40.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_5dcfa0777e6540998053e4a29b29b806", - "tabbable": null, - "tooltip": null, - "value": 40.0 - } - }, - "fa87a07117a74232955cb6e2e8b66aa9": { + "fb2d8e3fda1543c993ce88eebbd09da9": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -8613,25 +8657,7 @@ "width": null } }, - "fd5d6bff1fad4857abafef9b11b3dfe4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } - }, - "fd9234c25dae4c37a35f1e4d52af48c6": { + "fc4142d60d774dd2ad99ecd36603d468": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -8683,32 +8709,6 @@ "visibility": null, "width": null } - }, - "fe504683f63741bdac7f7f37aacf03d2": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_3f14c7dcb14b4ff9b9a6110a6ebeea9a", - "max": 40.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_9d6e31ccf4dd4aceabf442d6436fa02c", - "tabbable": null, - "tooltip": null, - "value": 40.0 - } } }, "version_major": 2, diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index 49189d5a3..095bdca3d 100644 --- a/master/tutorials/datalab/tabular.ipynb +++ b/master/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:43.397675Z", - "iopub.status.busy": "2024-07-09T06:25:43.397521Z", - "iopub.status.idle": "2024-07-09T06:25:44.500416Z", - "shell.execute_reply": "2024-07-09T06:25:44.499930Z" + "iopub.execute_input": "2024-07-11T23:29:10.824057Z", + "iopub.status.busy": "2024-07-11T23:29:10.823887Z", + "iopub.status.idle": "2024-07-11T23:29:12.031031Z", + "shell.execute_reply": "2024-07-11T23:29:12.030498Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.503054Z", - "iopub.status.busy": "2024-07-09T06:25:44.502594Z", - "iopub.status.idle": "2024-07-09T06:25:44.520286Z", - "shell.execute_reply": "2024-07-09T06:25:44.519788Z" + "iopub.execute_input": "2024-07-11T23:29:12.033639Z", + "iopub.status.busy": "2024-07-11T23:29:12.033155Z", + "iopub.status.idle": "2024-07-11T23:29:12.052163Z", + "shell.execute_reply": "2024-07-11T23:29:12.051686Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.522768Z", - "iopub.status.busy": "2024-07-09T06:25:44.522335Z", - "iopub.status.idle": "2024-07-09T06:25:44.561412Z", - "shell.execute_reply": "2024-07-09T06:25:44.560787Z" + "iopub.execute_input": "2024-07-11T23:29:12.054816Z", + "iopub.status.busy": "2024-07-11T23:29:12.054264Z", + "iopub.status.idle": "2024-07-11T23:29:12.079654Z", + "shell.execute_reply": "2024-07-11T23:29:12.079070Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.563603Z", - "iopub.status.busy": "2024-07-09T06:25:44.563330Z", - "iopub.status.idle": "2024-07-09T06:25:44.566773Z", - "shell.execute_reply": "2024-07-09T06:25:44.566347Z" + "iopub.execute_input": "2024-07-11T23:29:12.081929Z", + "iopub.status.busy": "2024-07-11T23:29:12.081563Z", + "iopub.status.idle": "2024-07-11T23:29:12.085107Z", + "shell.execute_reply": "2024-07-11T23:29:12.084660Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.568882Z", - "iopub.status.busy": "2024-07-09T06:25:44.568557Z", - "iopub.status.idle": "2024-07-09T06:25:44.576133Z", - "shell.execute_reply": "2024-07-09T06:25:44.575666Z" + "iopub.execute_input": "2024-07-11T23:29:12.087283Z", + "iopub.status.busy": "2024-07-11T23:29:12.086948Z", + "iopub.status.idle": "2024-07-11T23:29:12.094469Z", + "shell.execute_reply": "2024-07-11T23:29:12.093973Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.578213Z", - "iopub.status.busy": "2024-07-09T06:25:44.577888Z", - "iopub.status.idle": "2024-07-09T06:25:44.580359Z", - "shell.execute_reply": "2024-07-09T06:25:44.579938Z" + "iopub.execute_input": "2024-07-11T23:29:12.096716Z", + "iopub.status.busy": "2024-07-11T23:29:12.096370Z", + "iopub.status.idle": "2024-07-11T23:29:12.098921Z", + "shell.execute_reply": "2024-07-11T23:29:12.098460Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:44.582404Z", - "iopub.status.busy": "2024-07-09T06:25:44.582006Z", - "iopub.status.idle": "2024-07-09T06:25:47.496435Z", - "shell.execute_reply": "2024-07-09T06:25:47.495884Z" + "iopub.execute_input": "2024-07-11T23:29:12.100927Z", + "iopub.status.busy": "2024-07-11T23:29:12.100586Z", + "iopub.status.idle": "2024-07-11T23:29:15.157298Z", + "shell.execute_reply": "2024-07-11T23:29:15.156748Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:47.499186Z", - "iopub.status.busy": "2024-07-09T06:25:47.498702Z", - "iopub.status.idle": "2024-07-09T06:25:47.508351Z", - "shell.execute_reply": "2024-07-09T06:25:47.507924Z" + "iopub.execute_input": "2024-07-11T23:29:15.160076Z", + "iopub.status.busy": "2024-07-11T23:29:15.159676Z", + "iopub.status.idle": "2024-07-11T23:29:15.169455Z", + "shell.execute_reply": "2024-07-11T23:29:15.168985Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:47.510494Z", - "iopub.status.busy": "2024-07-09T06:25:47.510083Z", - "iopub.status.idle": "2024-07-09T06:25:49.420464Z", - "shell.execute_reply": "2024-07-09T06:25:49.419867Z" + "iopub.execute_input": "2024-07-11T23:29:15.171458Z", + "iopub.status.busy": "2024-07-11T23:29:15.171270Z", + "iopub.status.idle": "2024-07-11T23:29:17.248432Z", + "shell.execute_reply": "2024-07-11T23:29:17.247803Z" } }, "outputs": [ @@ -476,10 +476,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.423063Z", - "iopub.status.busy": "2024-07-09T06:25:49.422479Z", - "iopub.status.idle": "2024-07-09T06:25:49.441395Z", - "shell.execute_reply": "2024-07-09T06:25:49.440922Z" + "iopub.execute_input": "2024-07-11T23:29:17.251042Z", + "iopub.status.busy": "2024-07-11T23:29:17.250497Z", + "iopub.status.idle": "2024-07-11T23:29:17.269626Z", + "shell.execute_reply": "2024-07-11T23:29:17.269154Z" }, "scrolled": true }, @@ -609,10 +609,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.443532Z", - "iopub.status.busy": "2024-07-09T06:25:49.443194Z", - "iopub.status.idle": "2024-07-09T06:25:49.451051Z", - "shell.execute_reply": "2024-07-09T06:25:49.450614Z" + "iopub.execute_input": "2024-07-11T23:29:17.271760Z", + "iopub.status.busy": "2024-07-11T23:29:17.271471Z", + "iopub.status.idle": "2024-07-11T23:29:17.279607Z", + "shell.execute_reply": "2024-07-11T23:29:17.279150Z" } }, "outputs": [ @@ -716,10 +716,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.453099Z", - "iopub.status.busy": "2024-07-09T06:25:49.452774Z", - "iopub.status.idle": "2024-07-09T06:25:49.461948Z", - "shell.execute_reply": "2024-07-09T06:25:49.461497Z" + "iopub.execute_input": "2024-07-11T23:29:17.281504Z", + "iopub.status.busy": "2024-07-11T23:29:17.281328Z", + "iopub.status.idle": "2024-07-11T23:29:17.290707Z", + "shell.execute_reply": "2024-07-11T23:29:17.290143Z" } }, "outputs": [ @@ -848,10 +848,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.463968Z", - "iopub.status.busy": "2024-07-09T06:25:49.463653Z", - "iopub.status.idle": "2024-07-09T06:25:49.471593Z", - "shell.execute_reply": "2024-07-09T06:25:49.471011Z" + "iopub.execute_input": "2024-07-11T23:29:17.292917Z", + "iopub.status.busy": "2024-07-11T23:29:17.292506Z", + "iopub.status.idle": "2024-07-11T23:29:17.301043Z", + "shell.execute_reply": "2024-07-11T23:29:17.300462Z" } }, "outputs": [ @@ -965,10 +965,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.473529Z", - "iopub.status.busy": "2024-07-09T06:25:49.473356Z", - "iopub.status.idle": "2024-07-09T06:25:49.482335Z", - "shell.execute_reply": "2024-07-09T06:25:49.481895Z" + "iopub.execute_input": "2024-07-11T23:29:17.303192Z", + "iopub.status.busy": "2024-07-11T23:29:17.302849Z", + "iopub.status.idle": "2024-07-11T23:29:17.311637Z", + "shell.execute_reply": "2024-07-11T23:29:17.311131Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.484408Z", - "iopub.status.busy": "2024-07-09T06:25:49.484080Z", - "iopub.status.idle": "2024-07-09T06:25:49.491499Z", - "shell.execute_reply": "2024-07-09T06:25:49.491016Z" + "iopub.execute_input": "2024-07-11T23:29:17.313719Z", + "iopub.status.busy": "2024-07-11T23:29:17.313369Z", + "iopub.status.idle": "2024-07-11T23:29:17.321018Z", + "shell.execute_reply": "2024-07-11T23:29:17.320556Z" } }, "outputs": [ @@ -1197,10 +1197,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.493531Z", - "iopub.status.busy": "2024-07-09T06:25:49.493203Z", - "iopub.status.idle": "2024-07-09T06:25:49.500767Z", - "shell.execute_reply": "2024-07-09T06:25:49.500318Z" + "iopub.execute_input": "2024-07-11T23:29:17.323211Z", + "iopub.status.busy": "2024-07-11T23:29:17.322859Z", + "iopub.status.idle": "2024-07-11T23:29:17.330611Z", + "shell.execute_reply": "2024-07-11T23:29:17.330145Z" } }, "outputs": [ @@ -1300,10 +1300,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:49.502816Z", - "iopub.status.busy": "2024-07-09T06:25:49.502476Z", - "iopub.status.idle": "2024-07-09T06:25:49.511060Z", - "shell.execute_reply": "2024-07-09T06:25:49.510478Z" + "iopub.execute_input": "2024-07-11T23:29:17.332743Z", + "iopub.status.busy": "2024-07-11T23:29:17.332399Z", + "iopub.status.idle": "2024-07-11T23:29:17.340578Z", + "shell.execute_reply": "2024-07-11T23:29:17.340099Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index 854b57cf2..6b0931ebb 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -791,7 +791,7 @@

2. Load and format the text dataset 
 This dataset has 10 classes.
-Classes: {'cancel_transfer', 'supported_cards_and_currencies', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'card_about_to_expire', 'getting_spare_card', 'apple_pay_or_google_pay', 'visa_or_mastercard'}
+Classes: {'getting_spare_card', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'card_about_to_expire', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'change_pin'}

Let’s view the i-th example in the dataset:

diff --git a/master/tutorials/datalab/text.ipynb b/master/tutorials/datalab/text.ipynb index 007861577..07f3d4c80 100644 --- a/master/tutorials/datalab/text.ipynb +++ b/master/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:52.110367Z", - "iopub.status.busy": "2024-07-09T06:25:52.110187Z", - "iopub.status.idle": "2024-07-09T06:25:54.784149Z", - "shell.execute_reply": "2024-07-09T06:25:54.783592Z" + "iopub.execute_input": "2024-07-11T23:29:20.296872Z", + "iopub.status.busy": "2024-07-11T23:29:20.296343Z", + "iopub.status.idle": "2024-07-11T23:29:23.099118Z", + "shell.execute_reply": "2024-07-11T23:29:23.098548Z" }, "nbsphinx": "hidden" }, @@ -96,7 +96,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -121,10 +121,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.786763Z", - "iopub.status.busy": "2024-07-09T06:25:54.786450Z", - "iopub.status.idle": "2024-07-09T06:25:54.790234Z", - "shell.execute_reply": "2024-07-09T06:25:54.789808Z" + "iopub.execute_input": "2024-07-11T23:29:23.101716Z", + "iopub.status.busy": "2024-07-11T23:29:23.101242Z", + "iopub.status.idle": "2024-07-11T23:29:23.104460Z", + "shell.execute_reply": "2024-07-11T23:29:23.104010Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.792282Z", - "iopub.status.busy": "2024-07-09T06:25:54.791960Z", - "iopub.status.idle": "2024-07-09T06:25:54.795130Z", - "shell.execute_reply": "2024-07-09T06:25:54.794637Z" + "iopub.execute_input": "2024-07-11T23:29:23.106552Z", + "iopub.status.busy": "2024-07-11T23:29:23.106212Z", + "iopub.status.idle": "2024-07-11T23:29:23.109383Z", + "shell.execute_reply": "2024-07-11T23:29:23.108910Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.797237Z", - "iopub.status.busy": "2024-07-09T06:25:54.796891Z", - "iopub.status.idle": "2024-07-09T06:25:54.839838Z", - "shell.execute_reply": "2024-07-09T06:25:54.839268Z" + "iopub.execute_input": "2024-07-11T23:29:23.111437Z", + "iopub.status.busy": "2024-07-11T23:29:23.111099Z", + "iopub.status.idle": "2024-07-11T23:29:23.137658Z", + "shell.execute_reply": "2024-07-11T23:29:23.137132Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.842013Z", - "iopub.status.busy": "2024-07-09T06:25:54.841618Z", - "iopub.status.idle": "2024-07-09T06:25:54.845269Z", - "shell.execute_reply": "2024-07-09T06:25:54.844799Z" + "iopub.execute_input": "2024-07-11T23:29:23.139775Z", + "iopub.status.busy": "2024-07-11T23:29:23.139424Z", + "iopub.status.idle": "2024-07-11T23:29:23.143084Z", + "shell.execute_reply": "2024-07-11T23:29:23.142550Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'cancel_transfer', 'supported_cards_and_currencies', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'card_about_to_expire', 'getting_spare_card', 'apple_pay_or_google_pay', 'visa_or_mastercard'}\n" + "Classes: {'getting_spare_card', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'card_about_to_expire', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'change_pin'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.847533Z", - "iopub.status.busy": "2024-07-09T06:25:54.847103Z", - "iopub.status.idle": "2024-07-09T06:25:54.850442Z", - "shell.execute_reply": "2024-07-09T06:25:54.849920Z" + "iopub.execute_input": "2024-07-11T23:29:23.145114Z", + "iopub.status.busy": "2024-07-11T23:29:23.144786Z", + "iopub.status.idle": "2024-07-11T23:29:23.147838Z", + "shell.execute_reply": "2024-07-11T23:29:23.147307Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:54.852582Z", - "iopub.status.busy": "2024-07-09T06:25:54.852188Z", - "iopub.status.idle": "2024-07-09T06:25:59.138875Z", - "shell.execute_reply": "2024-07-09T06:25:59.138241Z" + "iopub.execute_input": "2024-07-11T23:29:23.150007Z", + "iopub.status.busy": "2024-07-11T23:29:23.149602Z", + "iopub.status.idle": "2024-07-11T23:29:26.928577Z", + "shell.execute_reply": "2024-07-11T23:29:26.928014Z" } }, "outputs": [ @@ -416,10 +416,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:25:59.141607Z", - "iopub.status.busy": "2024-07-09T06:25:59.141219Z", - "iopub.status.idle": "2024-07-09T06:26:00.038840Z", - "shell.execute_reply": "2024-07-09T06:26:00.038252Z" + "iopub.execute_input": "2024-07-11T23:29:26.931127Z", + "iopub.status.busy": "2024-07-11T23:29:26.930936Z", + "iopub.status.idle": "2024-07-11T23:29:27.847526Z", + "shell.execute_reply": "2024-07-11T23:29:27.846929Z" }, "scrolled": true }, @@ -451,10 +451,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:00.041846Z", - "iopub.status.busy": "2024-07-09T06:26:00.041473Z", - "iopub.status.idle": "2024-07-09T06:26:00.044333Z", - "shell.execute_reply": "2024-07-09T06:26:00.043847Z" + "iopub.execute_input": "2024-07-11T23:29:27.850537Z", + "iopub.status.busy": "2024-07-11T23:29:27.850133Z", + "iopub.status.idle": "2024-07-11T23:29:27.853085Z", + "shell.execute_reply": "2024-07-11T23:29:27.852592Z" } }, "outputs": [], @@ -474,10 +474,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:00.046828Z", - "iopub.status.busy": "2024-07-09T06:26:00.046455Z", - "iopub.status.idle": "2024-07-09T06:26:02.001666Z", - "shell.execute_reply": "2024-07-09T06:26:02.000979Z" + "iopub.execute_input": "2024-07-11T23:29:27.856213Z", + "iopub.status.busy": "2024-07-11T23:29:27.855272Z", + "iopub.status.idle": "2024-07-11T23:29:29.866823Z", + "shell.execute_reply": "2024-07-11T23:29:29.866126Z" }, "scrolled": true }, @@ -521,10 +521,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.005648Z", - "iopub.status.busy": "2024-07-09T06:26:02.004357Z", - "iopub.status.idle": "2024-07-09T06:26:02.029990Z", - "shell.execute_reply": "2024-07-09T06:26:02.029487Z" + "iopub.execute_input": "2024-07-11T23:29:29.870725Z", + "iopub.status.busy": "2024-07-11T23:29:29.869329Z", + "iopub.status.idle": "2024-07-11T23:29:29.895368Z", + "shell.execute_reply": "2024-07-11T23:29:29.894852Z" }, "scrolled": true }, @@ -654,10 +654,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.033668Z", - "iopub.status.busy": "2024-07-09T06:26:02.032688Z", - "iopub.status.idle": "2024-07-09T06:26:02.043061Z", - "shell.execute_reply": "2024-07-09T06:26:02.042510Z" + "iopub.execute_input": "2024-07-11T23:29:29.899017Z", + "iopub.status.busy": "2024-07-11T23:29:29.898072Z", + "iopub.status.idle": "2024-07-11T23:29:29.908832Z", + "shell.execute_reply": "2024-07-11T23:29:29.908409Z" }, "scrolled": true }, @@ -767,10 +767,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.045235Z", - "iopub.status.busy": "2024-07-09T06:26:02.044844Z", - "iopub.status.idle": "2024-07-09T06:26:02.049066Z", - "shell.execute_reply": "2024-07-09T06:26:02.048544Z" + "iopub.execute_input": "2024-07-11T23:29:29.911226Z", + "iopub.status.busy": "2024-07-11T23:29:29.910867Z", + "iopub.status.idle": "2024-07-11T23:29:29.915028Z", + "shell.execute_reply": "2024-07-11T23:29:29.914487Z" } }, "outputs": [ @@ -808,10 +808,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.050976Z", - "iopub.status.busy": "2024-07-09T06:26:02.050656Z", - "iopub.status.idle": "2024-07-09T06:26:02.056885Z", - "shell.execute_reply": "2024-07-09T06:26:02.056368Z" + "iopub.execute_input": "2024-07-11T23:29:29.917195Z", + "iopub.status.busy": "2024-07-11T23:29:29.916869Z", + "iopub.status.idle": "2024-07-11T23:29:29.923739Z", + "shell.execute_reply": "2024-07-11T23:29:29.923264Z" } }, "outputs": [ @@ -928,10 +928,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.058842Z", - "iopub.status.busy": "2024-07-09T06:26:02.058553Z", - "iopub.status.idle": "2024-07-09T06:26:02.064989Z", - "shell.execute_reply": "2024-07-09T06:26:02.064469Z" + "iopub.execute_input": "2024-07-11T23:29:29.925794Z", + "iopub.status.busy": "2024-07-11T23:29:29.925460Z", + "iopub.status.idle": "2024-07-11T23:29:29.932321Z", + "shell.execute_reply": "2024-07-11T23:29:29.931877Z" } }, "outputs": [ @@ -1014,10 +1014,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.067209Z", - "iopub.status.busy": "2024-07-09T06:26:02.066773Z", - "iopub.status.idle": "2024-07-09T06:26:02.072793Z", - "shell.execute_reply": "2024-07-09T06:26:02.072374Z" + "iopub.execute_input": "2024-07-11T23:29:29.934353Z", + "iopub.status.busy": "2024-07-11T23:29:29.934032Z", + "iopub.status.idle": "2024-07-11T23:29:29.940266Z", + "shell.execute_reply": "2024-07-11T23:29:29.939810Z" } }, "outputs": [ @@ -1125,10 +1125,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.074940Z", - "iopub.status.busy": "2024-07-09T06:26:02.074490Z", - "iopub.status.idle": "2024-07-09T06:26:02.083051Z", - "shell.execute_reply": "2024-07-09T06:26:02.082510Z" + "iopub.execute_input": "2024-07-11T23:29:29.942354Z", + "iopub.status.busy": "2024-07-11T23:29:29.941996Z", + "iopub.status.idle": "2024-07-11T23:29:29.950445Z", + "shell.execute_reply": "2024-07-11T23:29:29.949967Z" } }, "outputs": [ @@ -1239,10 +1239,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.085157Z", - "iopub.status.busy": "2024-07-09T06:26:02.084826Z", - "iopub.status.idle": "2024-07-09T06:26:02.090319Z", - "shell.execute_reply": "2024-07-09T06:26:02.089787Z" + "iopub.execute_input": "2024-07-11T23:29:29.952513Z", + "iopub.status.busy": "2024-07-11T23:29:29.952188Z", + "iopub.status.idle": "2024-07-11T23:29:29.957603Z", + "shell.execute_reply": "2024-07-11T23:29:29.957060Z" } }, "outputs": [ @@ -1310,10 +1310,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.092426Z", - "iopub.status.busy": "2024-07-09T06:26:02.092121Z", - "iopub.status.idle": "2024-07-09T06:26:02.097472Z", - "shell.execute_reply": "2024-07-09T06:26:02.096931Z" + "iopub.execute_input": "2024-07-11T23:29:29.959629Z", + "iopub.status.busy": "2024-07-11T23:29:29.959314Z", + "iopub.status.idle": "2024-07-11T23:29:29.964736Z", + "shell.execute_reply": "2024-07-11T23:29:29.964255Z" } }, "outputs": [ @@ -1392,10 +1392,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.099674Z", - "iopub.status.busy": "2024-07-09T06:26:02.099271Z", - "iopub.status.idle": "2024-07-09T06:26:02.103221Z", - "shell.execute_reply": "2024-07-09T06:26:02.102687Z" + "iopub.execute_input": "2024-07-11T23:29:29.966832Z", + "iopub.status.busy": "2024-07-11T23:29:29.966514Z", + "iopub.status.idle": "2024-07-11T23:29:29.970167Z", + "shell.execute_reply": "2024-07-11T23:29:29.969608Z" } }, "outputs": [ @@ -1443,10 +1443,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:02.105280Z", - "iopub.status.busy": "2024-07-09T06:26:02.104977Z", - "iopub.status.idle": "2024-07-09T06:26:02.110409Z", - "shell.execute_reply": "2024-07-09T06:26:02.109860Z" + "iopub.execute_input": "2024-07-11T23:29:29.972238Z", + "iopub.status.busy": "2024-07-11T23:29:29.971925Z", + "iopub.status.idle": "2024-07-11T23:29:29.977206Z", + "shell.execute_reply": "2024-07-11T23:29:29.976760Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/workflows.html b/master/tutorials/datalab/workflows.html index 0f8301dba..5db3340d1 100644 --- a/master/tutorials/datalab/workflows.html +++ b/master/tutorials/datalab/workflows.html @@ -879,7 +879,7 @@

4. Identify Data Issues Using Datalab - +
- - - - - - - - - + + + + + + + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
 AgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_scoreAgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_score
8nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.000000
@@ -3564,7 +3564,7 @@

1. Load the Dataset 
-100%|██████████| 170498071/170498071 [00:01<00:00, 95733745.71it/s]
+100%|██████████| 170498071/170498071 [00:01<00:00, 98318168.93it/s]
@@ -3716,7 +3716,7 @@

5. Finding image-specific property scores

-
+
@@ -3733,7 +3733,7 @@

5. Finding image-specific property scores

-
+
@@ -3896,7 +3896,7 @@

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"iopub.status.busy": "2024-07-09T06:26:06.358944Z", - "iopub.status.idle": "2024-07-09T06:26:06.770440Z", - "shell.execute_reply": "2024-07-09T06:26:06.769872Z" + "iopub.execute_input": "2024-07-11T23:29:34.388693Z", + "iopub.status.busy": "2024-07-11T23:29:34.388243Z", + "iopub.status.idle": "2024-07-11T23:29:34.820244Z", + "shell.execute_reply": "2024-07-11T23:29:34.819732Z" } }, "outputs": [], @@ -87,10 +87,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.772937Z", - "iopub.status.busy": "2024-07-09T06:26:06.772696Z", - "iopub.status.idle": "2024-07-09T06:26:06.900862Z", - "shell.execute_reply": "2024-07-09T06:26:06.900374Z" + "iopub.execute_input": "2024-07-11T23:29:34.822803Z", + "iopub.status.busy": "2024-07-11T23:29:34.822517Z", + "iopub.status.idle": "2024-07-11T23:29:34.952962Z", + "shell.execute_reply": "2024-07-11T23:29:34.952397Z" } }, "outputs": [ @@ -181,10 +181,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.903167Z", - "iopub.status.busy": "2024-07-09T06:26:06.902756Z", - "iopub.status.idle": "2024-07-09T06:26:06.925318Z", - "shell.execute_reply": "2024-07-09T06:26:06.924766Z" + "iopub.execute_input": "2024-07-11T23:29:34.955366Z", + "iopub.status.busy": "2024-07-11T23:29:34.954953Z", + "iopub.status.idle": "2024-07-11T23:29:34.978058Z", + "shell.execute_reply": "2024-07-11T23:29:34.977499Z" } }, "outputs": [], @@ -210,10 +210,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:06.927949Z", - "iopub.status.busy": "2024-07-09T06:26:06.927455Z", - "iopub.status.idle": "2024-07-09T06:26:09.660674Z", - "shell.execute_reply": "2024-07-09T06:26:09.660045Z" + "iopub.execute_input": "2024-07-11T23:29:34.981010Z", + "iopub.status.busy": "2024-07-11T23:29:34.980418Z", + "iopub.status.idle": "2024-07-11T23:29:37.818083Z", + "shell.execute_reply": "2024-07-11T23:29:37.817473Z" } }, "outputs": [ @@ -280,7 +280,7 @@ " \n", " 2\n", " outlier\n", - " 0.356959\n", + " 0.356958\n", " 362\n", " \n", " \n", @@ -315,7 +315,7 @@ " issue_type score num_issues\n", "0 null 1.000000 0\n", "1 label 0.991400 52\n", - "2 outlier 0.356959 362\n", + "2 outlier 0.356958 362\n", "3 near_duplicate 0.619565 108\n", "4 non_iid 0.000000 1\n", "5 class_imbalance 0.500000 0\n", @@ -700,10 +700,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:09.663103Z", - "iopub.status.busy": "2024-07-09T06:26:09.662695Z", - "iopub.status.idle": "2024-07-09T06:26:17.697818Z", - "shell.execute_reply": "2024-07-09T06:26:17.697224Z" + "iopub.execute_input": "2024-07-11T23:29:37.820720Z", + "iopub.status.busy": "2024-07-11T23:29:37.820301Z", + "iopub.status.idle": "2024-07-11T23:29:46.721138Z", + "shell.execute_reply": "2024-07-11T23:29:46.720568Z" } }, "outputs": [ @@ -804,10 +804,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:17.700276Z", - "iopub.status.busy": "2024-07-09T06:26:17.699925Z", - "iopub.status.idle": "2024-07-09T06:26:17.841746Z", - "shell.execute_reply": "2024-07-09T06:26:17.841256Z" + "iopub.execute_input": "2024-07-11T23:29:46.723367Z", + "iopub.status.busy": "2024-07-11T23:29:46.723076Z", + "iopub.status.idle": "2024-07-11T23:29:46.891124Z", + "shell.execute_reply": "2024-07-11T23:29:46.890449Z" } }, "outputs": [], @@ -838,10 +838,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:17.844287Z", - "iopub.status.busy": "2024-07-09T06:26:17.843913Z", - "iopub.status.idle": "2024-07-09T06:26:19.164893Z", - "shell.execute_reply": "2024-07-09T06:26:19.164379Z" + "iopub.execute_input": "2024-07-11T23:29:46.893627Z", + "iopub.status.busy": "2024-07-11T23:29:46.893433Z", + "iopub.status.idle": "2024-07-11T23:29:48.221557Z", + "shell.execute_reply": "2024-07-11T23:29:48.220967Z" } }, "outputs": [ @@ -1000,10 +1000,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.167019Z", - "iopub.status.busy": "2024-07-09T06:26:19.166813Z", - "iopub.status.idle": "2024-07-09T06:26:19.597782Z", - "shell.execute_reply": "2024-07-09T06:26:19.597208Z" + "iopub.execute_input": "2024-07-11T23:29:48.224013Z", + "iopub.status.busy": "2024-07-11T23:29:48.223550Z", + "iopub.status.idle": "2024-07-11T23:29:48.654330Z", + "shell.execute_reply": "2024-07-11T23:29:48.653634Z" } }, "outputs": [ @@ -1082,10 +1082,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.600017Z", - "iopub.status.busy": "2024-07-09T06:26:19.599671Z", - "iopub.status.idle": "2024-07-09T06:26:19.608754Z", - "shell.execute_reply": "2024-07-09T06:26:19.608320Z" + "iopub.execute_input": "2024-07-11T23:29:48.657912Z", + "iopub.status.busy": "2024-07-11T23:29:48.656773Z", + "iopub.status.idle": "2024-07-11T23:29:48.671443Z", + "shell.execute_reply": "2024-07-11T23:29:48.670980Z" } }, "outputs": [], @@ -1115,10 +1115,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.610758Z", - "iopub.status.busy": "2024-07-09T06:26:19.610582Z", - "iopub.status.idle": "2024-07-09T06:26:19.629174Z", - "shell.execute_reply": "2024-07-09T06:26:19.628714Z" + "iopub.execute_input": "2024-07-11T23:29:48.673923Z", + "iopub.status.busy": "2024-07-11T23:29:48.673416Z", + "iopub.status.idle": "2024-07-11T23:29:48.696644Z", + "shell.execute_reply": "2024-07-11T23:29:48.696128Z" } }, "outputs": [], @@ -1146,10 +1146,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.631274Z", - "iopub.status.busy": "2024-07-09T06:26:19.630949Z", - "iopub.status.idle": "2024-07-09T06:26:19.855473Z", - "shell.execute_reply": "2024-07-09T06:26:19.854937Z" + "iopub.execute_input": "2024-07-11T23:29:48.699194Z", + "iopub.status.busy": "2024-07-11T23:29:48.698804Z", + "iopub.status.idle": "2024-07-11T23:29:48.914081Z", + "shell.execute_reply": "2024-07-11T23:29:48.913445Z" } }, "outputs": [], @@ -1189,10 +1189,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.857897Z", - "iopub.status.busy": "2024-07-09T06:26:19.857717Z", - "iopub.status.idle": "2024-07-09T06:26:19.876254Z", - "shell.execute_reply": "2024-07-09T06:26:19.875785Z" + "iopub.execute_input": "2024-07-11T23:29:48.916790Z", + "iopub.status.busy": "2024-07-11T23:29:48.916597Z", + "iopub.status.idle": "2024-07-11T23:29:48.936552Z", + "shell.execute_reply": "2024-07-11T23:29:48.935965Z" } }, "outputs": [ @@ -1390,10 +1390,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:19.878330Z", - "iopub.status.busy": "2024-07-09T06:26:19.878123Z", - "iopub.status.idle": "2024-07-09T06:26:20.020972Z", - "shell.execute_reply": "2024-07-09T06:26:20.020418Z" + "iopub.execute_input": "2024-07-11T23:29:48.938784Z", + "iopub.status.busy": "2024-07-11T23:29:48.938602Z", + "iopub.status.idle": "2024-07-11T23:29:49.079693Z", + "shell.execute_reply": "2024-07-11T23:29:49.079099Z" } }, "outputs": [ @@ -1460,10 +1460,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.023234Z", - "iopub.status.busy": "2024-07-09T06:26:20.023054Z", - "iopub.status.idle": "2024-07-09T06:26:20.033881Z", - "shell.execute_reply": "2024-07-09T06:26:20.033455Z" + "iopub.execute_input": "2024-07-11T23:29:49.082200Z", + "iopub.status.busy": "2024-07-11T23:29:49.081832Z", + "iopub.status.idle": "2024-07-11T23:29:49.092133Z", + "shell.execute_reply": "2024-07-11T23:29:49.091672Z" } }, "outputs": [ @@ -1729,10 +1729,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.036017Z", - "iopub.status.busy": "2024-07-09T06:26:20.035683Z", - "iopub.status.idle": "2024-07-09T06:26:20.045307Z", - "shell.execute_reply": "2024-07-09T06:26:20.044756Z" + "iopub.execute_input": "2024-07-11T23:29:49.094406Z", + "iopub.status.busy": "2024-07-11T23:29:49.093977Z", + "iopub.status.idle": "2024-07-11T23:29:49.103812Z", + "shell.execute_reply": "2024-07-11T23:29:49.103299Z" } }, "outputs": [ @@ -1919,10 +1919,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.047404Z", - "iopub.status.busy": "2024-07-09T06:26:20.047075Z", - "iopub.status.idle": "2024-07-09T06:26:20.077571Z", - "shell.execute_reply": "2024-07-09T06:26:20.077104Z" + "iopub.execute_input": "2024-07-11T23:29:49.106037Z", + "iopub.status.busy": "2024-07-11T23:29:49.105658Z", + "iopub.status.idle": "2024-07-11T23:29:49.131276Z", + "shell.execute_reply": "2024-07-11T23:29:49.130801Z" } }, "outputs": [], @@ -1956,10 +1956,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.079806Z", - "iopub.status.busy": "2024-07-09T06:26:20.079460Z", - "iopub.status.idle": "2024-07-09T06:26:20.082272Z", - "shell.execute_reply": "2024-07-09T06:26:20.081824Z" + "iopub.execute_input": "2024-07-11T23:29:49.133375Z", + "iopub.status.busy": "2024-07-11T23:29:49.133028Z", + "iopub.status.idle": "2024-07-11T23:29:49.135659Z", + "shell.execute_reply": "2024-07-11T23:29:49.135214Z" } }, "outputs": [], @@ -1981,10 +1981,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.084214Z", - "iopub.status.busy": "2024-07-09T06:26:20.083951Z", - "iopub.status.idle": "2024-07-09T06:26:20.103369Z", - "shell.execute_reply": "2024-07-09T06:26:20.102920Z" + "iopub.execute_input": "2024-07-11T23:29:49.137850Z", + "iopub.status.busy": "2024-07-11T23:29:49.137522Z", + "iopub.status.idle": "2024-07-11T23:29:49.156578Z", + "shell.execute_reply": "2024-07-11T23:29:49.156118Z" } }, "outputs": [ @@ -2142,10 +2142,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.105637Z", - "iopub.status.busy": "2024-07-09T06:26:20.105313Z", - "iopub.status.idle": "2024-07-09T06:26:20.109592Z", - "shell.execute_reply": "2024-07-09T06:26:20.109129Z" + "iopub.execute_input": "2024-07-11T23:29:49.158760Z", + "iopub.status.busy": "2024-07-11T23:29:49.158427Z", + "iopub.status.idle": "2024-07-11T23:29:49.162423Z", + "shell.execute_reply": "2024-07-11T23:29:49.161916Z" } }, "outputs": [], @@ -2178,10 +2178,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.111735Z", - "iopub.status.busy": "2024-07-09T06:26:20.111418Z", - "iopub.status.idle": "2024-07-09T06:26:20.140670Z", - "shell.execute_reply": "2024-07-09T06:26:20.140161Z" + "iopub.execute_input": "2024-07-11T23:29:49.164478Z", + "iopub.status.busy": "2024-07-11T23:29:49.164146Z", + "iopub.status.idle": "2024-07-11T23:29:49.192739Z", + "shell.execute_reply": "2024-07-11T23:29:49.192148Z" } }, "outputs": [ @@ -2327,10 +2327,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.143010Z", - "iopub.status.busy": "2024-07-09T06:26:20.142558Z", - "iopub.status.idle": "2024-07-09T06:26:20.467470Z", - "shell.execute_reply": "2024-07-09T06:26:20.466812Z" + "iopub.execute_input": "2024-07-11T23:29:49.195027Z", + "iopub.status.busy": "2024-07-11T23:29:49.194661Z", + "iopub.status.idle": "2024-07-11T23:29:49.516815Z", + "shell.execute_reply": "2024-07-11T23:29:49.516256Z" } }, "outputs": [ @@ -2397,10 +2397,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.469860Z", - "iopub.status.busy": "2024-07-09T06:26:20.469461Z", - "iopub.status.idle": "2024-07-09T06:26:20.472834Z", - "shell.execute_reply": "2024-07-09T06:26:20.472304Z" + "iopub.execute_input": "2024-07-11T23:29:49.519151Z", + "iopub.status.busy": "2024-07-11T23:29:49.518813Z", + "iopub.status.idle": "2024-07-11T23:29:49.522168Z", + "shell.execute_reply": "2024-07-11T23:29:49.521578Z" } }, "outputs": [ @@ -2451,10 +2451,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.474846Z", - "iopub.status.busy": "2024-07-09T06:26:20.474545Z", - "iopub.status.idle": "2024-07-09T06:26:20.487539Z", - "shell.execute_reply": "2024-07-09T06:26:20.487103Z" + "iopub.execute_input": "2024-07-11T23:29:49.524223Z", + "iopub.status.busy": "2024-07-11T23:29:49.523940Z", + "iopub.status.idle": "2024-07-11T23:29:49.536864Z", + "shell.execute_reply": "2024-07-11T23:29:49.536400Z" } }, "outputs": [ @@ -2733,10 +2733,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.489598Z", - "iopub.status.busy": "2024-07-09T06:26:20.489254Z", - "iopub.status.idle": "2024-07-09T06:26:20.502494Z", - "shell.execute_reply": "2024-07-09T06:26:20.502059Z" + "iopub.execute_input": "2024-07-11T23:29:49.538963Z", + "iopub.status.busy": "2024-07-11T23:29:49.538622Z", + "iopub.status.idle": "2024-07-11T23:29:49.551843Z", + "shell.execute_reply": "2024-07-11T23:29:49.551377Z" } }, "outputs": [ @@ -3003,10 +3003,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.504650Z", - "iopub.status.busy": "2024-07-09T06:26:20.504262Z", - "iopub.status.idle": "2024-07-09T06:26:20.514526Z", - "shell.execute_reply": "2024-07-09T06:26:20.513953Z" + "iopub.execute_input": "2024-07-11T23:29:49.554109Z", + "iopub.status.busy": "2024-07-11T23:29:49.553563Z", + "iopub.status.idle": "2024-07-11T23:29:49.563951Z", + "shell.execute_reply": "2024-07-11T23:29:49.563386Z" } }, "outputs": [], @@ -3031,10 +3031,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.516777Z", - "iopub.status.busy": "2024-07-09T06:26:20.516378Z", - "iopub.status.idle": "2024-07-09T06:26:20.525636Z", - "shell.execute_reply": "2024-07-09T06:26:20.525158Z" + "iopub.execute_input": "2024-07-11T23:29:49.566174Z", + "iopub.status.busy": "2024-07-11T23:29:49.565737Z", + "iopub.status.idle": "2024-07-11T23:29:49.575288Z", + "shell.execute_reply": "2024-07-11T23:29:49.574713Z" } }, "outputs": [ @@ -3206,10 +3206,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.527730Z", - "iopub.status.busy": "2024-07-09T06:26:20.527427Z", - "iopub.status.idle": "2024-07-09T06:26:20.531215Z", - "shell.execute_reply": "2024-07-09T06:26:20.530643Z" + "iopub.execute_input": "2024-07-11T23:29:49.577281Z", + "iopub.status.busy": "2024-07-11T23:29:49.577106Z", + "iopub.status.idle": "2024-07-11T23:29:49.580982Z", + "shell.execute_reply": "2024-07-11T23:29:49.580413Z" } }, "outputs": [], @@ -3241,10 +3241,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.533369Z", - "iopub.status.busy": "2024-07-09T06:26:20.532978Z", - "iopub.status.idle": "2024-07-09T06:26:20.584716Z", - "shell.execute_reply": "2024-07-09T06:26:20.584160Z" + "iopub.execute_input": "2024-07-11T23:29:49.583231Z", + "iopub.status.busy": "2024-07-11T23:29:49.582752Z", + "iopub.status.idle": "2024-07-11T23:29:49.634748Z", + "shell.execute_reply": "2024-07-11T23:29:49.634176Z" } }, "outputs": [ @@ -3252,230 +3252,230 @@ "data": { "text/html": [ "\n", - "\n", + "
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8nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.000000
\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3551,10 +3551,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.587026Z", - "iopub.status.busy": "2024-07-09T06:26:20.586732Z", - "iopub.status.idle": "2024-07-09T06:26:20.592456Z", - "shell.execute_reply": "2024-07-09T06:26:20.592020Z" + "iopub.execute_input": "2024-07-11T23:29:49.636976Z", + "iopub.status.busy": "2024-07-11T23:29:49.636539Z", + "iopub.status.idle": "2024-07-11T23:29:49.642182Z", + "shell.execute_reply": "2024-07-11T23:29:49.641717Z" } }, "outputs": [], @@ -3593,10 +3593,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.594421Z", - "iopub.status.busy": "2024-07-09T06:26:20.594113Z", - "iopub.status.idle": "2024-07-09T06:26:20.604649Z", - "shell.execute_reply": "2024-07-09T06:26:20.604215Z" + "iopub.execute_input": "2024-07-11T23:29:49.644252Z", + "iopub.status.busy": "2024-07-11T23:29:49.643919Z", + "iopub.status.idle": "2024-07-11T23:29:49.654684Z", + "shell.execute_reply": "2024-07-11T23:29:49.654237Z" } }, "outputs": [ @@ -3632,10 +3632,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.606620Z", - "iopub.status.busy": "2024-07-09T06:26:20.606292Z", - "iopub.status.idle": "2024-07-09T06:26:20.783133Z", - "shell.execute_reply": "2024-07-09T06:26:20.782497Z" + "iopub.execute_input": "2024-07-11T23:29:49.656716Z", + "iopub.status.busy": "2024-07-11T23:29:49.656373Z", + "iopub.status.idle": "2024-07-11T23:29:49.843043Z", + "shell.execute_reply": "2024-07-11T23:29:49.842369Z" } }, "outputs": [ @@ -3687,10 +3687,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.785456Z", - "iopub.status.busy": "2024-07-09T06:26:20.785275Z", - "iopub.status.idle": "2024-07-09T06:26:20.793330Z", - "shell.execute_reply": "2024-07-09T06:26:20.792773Z" + "iopub.execute_input": "2024-07-11T23:29:49.846082Z", + "iopub.status.busy": "2024-07-11T23:29:49.845550Z", + "iopub.status.idle": "2024-07-11T23:29:49.853221Z", + "shell.execute_reply": "2024-07-11T23:29:49.852796Z" }, "nbsphinx": "hidden" }, @@ -3760,10 +3760,10 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:20.795475Z", - "iopub.status.busy": "2024-07-09T06:26:20.795196Z", - "iopub.status.idle": "2024-07-09T06:26:26.499101Z", - "shell.execute_reply": "2024-07-09T06:26:26.498454Z" + "iopub.execute_input": "2024-07-11T23:29:49.855530Z", + "iopub.status.busy": "2024-07-11T23:29:49.855103Z", + "iopub.status.idle": "2024-07-11T23:29:55.548333Z", + "shell.execute_reply": "2024-07-11T23:29:55.547826Z" } }, "outputs": [ @@ -3787,7 +3787,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 851968/170498071 [00:00<00:22, 7672499.19it/s]" + " 1%|▏ | 2195456/170498071 [00:00<00:07, 21936066.84it/s]" ] }, { @@ -3795,7 +3795,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 10125312/170498071 [00:00<00:02, 55503706.90it/s]" + " 8%|▊ | 13762560/170498071 [00:00<00:02, 77040074.49it/s]" ] }, { @@ -3803,7 +3803,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 20086784/170498071 [00:00<00:02, 75141107.06it/s]" + " 13%|█▎ | 22937600/170498071 [00:00<00:01, 83657296.61it/s]" ] }, { @@ -3811,7 +3811,7 @@ "output_type": "stream", "text": [ "\r", - 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], - "layout": "IPY_MODEL_ef0ce0626f2f42ccab835c3082d23f11", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_dc8144a4608441f5baad14d16d57786b", + "placeholder": "​", + "style": "IPY_MODEL_0a9eba41d6f74ab3b9a89d65ca44485e", "tabbable": null, - "tooltip": null + "tooltip": null, + "value": "100%" } }, - "ef0ce0626f2f42ccab835c3082d23f11": { + "c66bba991f14433797a8e6e861762595": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5095,7 +5045,7 @@ "width": null } }, - "f9df9fb0ad7f4fe6b179e8db8621c60f": { + "dc8144a4608441f5baad14d16d57786b": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5147,6 +5097,48 @@ "visibility": null, "width": null } + }, + "e7f294d203864e0e9c5f6c2b4e5fb3d0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ebd7ac91367148e2afe6a27320bdd648": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7d6d49ce25f0419788eb3168606f568d", + "IPY_MODEL_b3715480365745f09fda9c8cb652a538", + "IPY_MODEL_8e817c3d82cd42f2812de96ecc4a20b5" + ], + "layout": "IPY_MODEL_64b6b27f928d436ba4403ed9f9c61077", + "tabbable": null, + "tooltip": null + } } }, "version_major": 2, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index b7c82c939..25a1a7095 100644 --- a/master/tutorials/dataset_health.ipynb +++ b/master/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:32.925528Z", - "iopub.status.busy": "2024-07-09T06:26:32.925364Z", - "iopub.status.idle": "2024-07-09T06:26:34.040278Z", - "shell.execute_reply": "2024-07-09T06:26:34.039721Z" + "iopub.execute_input": "2024-07-11T23:30:03.202811Z", + "iopub.status.busy": "2024-07-11T23:30:03.202303Z", + "iopub.status.idle": "2024-07-11T23:30:04.351501Z", + "shell.execute_reply": "2024-07-11T23:30:04.350951Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.042937Z", - "iopub.status.busy": "2024-07-09T06:26:34.042544Z", - "iopub.status.idle": "2024-07-09T06:26:34.045384Z", - "shell.execute_reply": "2024-07-09T06:26:34.044944Z" + "iopub.execute_input": "2024-07-11T23:30:04.354210Z", + "iopub.status.busy": "2024-07-11T23:30:04.353666Z", + "iopub.status.idle": "2024-07-11T23:30:04.356586Z", + "shell.execute_reply": "2024-07-11T23:30:04.356113Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.047662Z", - "iopub.status.busy": "2024-07-09T06:26:34.047230Z", - "iopub.status.idle": "2024-07-09T06:26:34.058799Z", - "shell.execute_reply": "2024-07-09T06:26:34.058355Z" + "iopub.execute_input": "2024-07-11T23:30:04.358687Z", + "iopub.status.busy": "2024-07-11T23:30:04.358503Z", + "iopub.status.idle": "2024-07-11T23:30:04.370267Z", + "shell.execute_reply": "2024-07-11T23:30:04.369774Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:34.060975Z", - "iopub.status.busy": "2024-07-09T06:26:34.060630Z", - "iopub.status.idle": "2024-07-09T06:26:39.033668Z", - "shell.execute_reply": "2024-07-09T06:26:39.033084Z" + "iopub.execute_input": "2024-07-11T23:30:04.372297Z", + "iopub.status.busy": "2024-07-11T23:30:04.371969Z", + "iopub.status.idle": "2024-07-11T23:30:09.431431Z", + "shell.execute_reply": "2024-07-11T23:30:09.430933Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 830ac8885..417684eca 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -831,13 +831,13 @@

How can I find label issues in big datasets with limited memory?

-
+
-
+
@@ -1702,7 +1702,7 @@

Can’t find an answer to your question?new Github issue. Our developers may also provide personalized assistance in our Slack Community.

Professional support and services are also available from our ML experts, learn more by emailing: team@cleanlab.ai

diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index 593067553..c2e042b26 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:41.303187Z", - "iopub.status.busy": "2024-07-09T06:26:41.302823Z", - "iopub.status.idle": "2024-07-09T06:26:42.450257Z", - "shell.execute_reply": "2024-07-09T06:26:42.449747Z" + "iopub.execute_input": "2024-07-11T23:30:11.597225Z", + "iopub.status.busy": "2024-07-11T23:30:11.597046Z", + "iopub.status.idle": "2024-07-11T23:30:12.748736Z", + "shell.execute_reply": "2024-07-11T23:30:12.748108Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:42.453168Z", - "iopub.status.busy": "2024-07-09T06:26:42.452624Z", - "iopub.status.idle": "2024-07-09T06:26:42.456109Z", - "shell.execute_reply": "2024-07-09T06:26:42.455577Z" + "iopub.execute_input": "2024-07-11T23:30:12.751671Z", + "iopub.status.busy": "2024-07-11T23:30:12.751390Z", + "iopub.status.idle": "2024-07-11T23:30:12.754832Z", + "shell.execute_reply": "2024-07-11T23:30:12.754358Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:42.458324Z", - "iopub.status.busy": "2024-07-09T06:26:42.457999Z", - "iopub.status.idle": "2024-07-09T06:26:45.758135Z", - "shell.execute_reply": "2024-07-09T06:26:45.757518Z" + "iopub.execute_input": "2024-07-11T23:30:12.756788Z", + "iopub.status.busy": "2024-07-11T23:30:12.756605Z", + "iopub.status.idle": "2024-07-11T23:30:16.158299Z", + "shell.execute_reply": "2024-07-11T23:30:16.157575Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.761341Z", - "iopub.status.busy": "2024-07-09T06:26:45.760502Z", - "iopub.status.idle": "2024-07-09T06:26:45.799809Z", - "shell.execute_reply": "2024-07-09T06:26:45.799118Z" + "iopub.execute_input": "2024-07-11T23:30:16.161420Z", + "iopub.status.busy": "2024-07-11T23:30:16.160692Z", + "iopub.status.idle": "2024-07-11T23:30:16.206630Z", + "shell.execute_reply": "2024-07-11T23:30:16.205967Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.802392Z", - "iopub.status.busy": "2024-07-09T06:26:45.802142Z", - "iopub.status.idle": "2024-07-09T06:26:45.837536Z", - "shell.execute_reply": "2024-07-09T06:26:45.836818Z" + "iopub.execute_input": "2024-07-11T23:30:16.209182Z", + "iopub.status.busy": "2024-07-11T23:30:16.208927Z", + "iopub.status.idle": "2024-07-11T23:30:16.250637Z", + "shell.execute_reply": "2024-07-11T23:30:16.249848Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.840174Z", - "iopub.status.busy": "2024-07-09T06:26:45.839915Z", - "iopub.status.idle": "2024-07-09T06:26:45.842992Z", - "shell.execute_reply": "2024-07-09T06:26:45.842523Z" + "iopub.execute_input": "2024-07-11T23:30:16.253766Z", + "iopub.status.busy": "2024-07-11T23:30:16.253295Z", + "iopub.status.idle": "2024-07-11T23:30:16.256871Z", + "shell.execute_reply": "2024-07-11T23:30:16.256317Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.845075Z", - "iopub.status.busy": "2024-07-09T06:26:45.844811Z", - "iopub.status.idle": "2024-07-09T06:26:45.847393Z", - "shell.execute_reply": "2024-07-09T06:26:45.846951Z" + "iopub.execute_input": "2024-07-11T23:30:16.259302Z", + "iopub.status.busy": "2024-07-11T23:30:16.258796Z", + "iopub.status.idle": "2024-07-11T23:30:16.261782Z", + "shell.execute_reply": "2024-07-11T23:30:16.261321Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.849512Z", - "iopub.status.busy": "2024-07-09T06:26:45.849230Z", - "iopub.status.idle": "2024-07-09T06:26:45.873850Z", - "shell.execute_reply": "2024-07-09T06:26:45.873252Z" + "iopub.execute_input": "2024-07-11T23:30:16.264031Z", + "iopub.status.busy": "2024-07-11T23:30:16.263690Z", + "iopub.status.idle": "2024-07-11T23:30:16.291128Z", + "shell.execute_reply": "2024-07-11T23:30:16.290558Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3e1a0cbaae1e45e19806d88ecdce7389", + "model_id": "251a33187aa94b1aa4699b49955d8a68", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "684088a7b56b4b3aa39b109dfa860ac6", + "model_id": "691c357de3a04b04a6a63d1b80ba4600", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.880372Z", - "iopub.status.busy": "2024-07-09T06:26:45.879962Z", - "iopub.status.idle": "2024-07-09T06:26:45.886615Z", - "shell.execute_reply": "2024-07-09T06:26:45.886081Z" + "iopub.execute_input": "2024-07-11T23:30:16.295999Z", + "iopub.status.busy": "2024-07-11T23:30:16.295544Z", + "iopub.status.idle": "2024-07-11T23:30:16.302377Z", + "shell.execute_reply": "2024-07-11T23:30:16.301810Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.888785Z", - "iopub.status.busy": "2024-07-09T06:26:45.888399Z", - "iopub.status.idle": "2024-07-09T06:26:45.891884Z", - "shell.execute_reply": "2024-07-09T06:26:45.891348Z" + "iopub.execute_input": "2024-07-11T23:30:16.304391Z", + "iopub.status.busy": "2024-07-11T23:30:16.304088Z", + "iopub.status.idle": "2024-07-11T23:30:16.307642Z", + "shell.execute_reply": "2024-07-11T23:30:16.307168Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.893965Z", - "iopub.status.busy": "2024-07-09T06:26:45.893580Z", - "iopub.status.idle": "2024-07-09T06:26:45.899933Z", - "shell.execute_reply": "2024-07-09T06:26:45.899439Z" + "iopub.execute_input": "2024-07-11T23:30:16.309629Z", + "iopub.status.busy": "2024-07-11T23:30:16.309352Z", + "iopub.status.idle": "2024-07-11T23:30:16.316308Z", + "shell.execute_reply": "2024-07-11T23:30:16.315839Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.901957Z", - "iopub.status.busy": "2024-07-09T06:26:45.901564Z", - "iopub.status.idle": "2024-07-09T06:26:45.938412Z", - "shell.execute_reply": "2024-07-09T06:26:45.937735Z" + "iopub.execute_input": "2024-07-11T23:30:16.318494Z", + "iopub.status.busy": "2024-07-11T23:30:16.318066Z", + "iopub.status.idle": "2024-07-11T23:30:16.360691Z", + "shell.execute_reply": "2024-07-11T23:30:16.359941Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.941344Z", - "iopub.status.busy": "2024-07-09T06:26:45.940842Z", - "iopub.status.idle": "2024-07-09T06:26:45.977181Z", - "shell.execute_reply": "2024-07-09T06:26:45.976594Z" + "iopub.execute_input": "2024-07-11T23:30:16.363298Z", + "iopub.status.busy": "2024-07-11T23:30:16.363052Z", + "iopub.status.idle": "2024-07-11T23:30:16.405028Z", + "shell.execute_reply": "2024-07-11T23:30:16.404381Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:45.979821Z", - "iopub.status.busy": "2024-07-09T06:26:45.979575Z", - "iopub.status.idle": "2024-07-09T06:26:46.104854Z", - "shell.execute_reply": "2024-07-09T06:26:46.104267Z" + "iopub.execute_input": "2024-07-11T23:30:16.407917Z", + "iopub.status.busy": "2024-07-11T23:30:16.407590Z", + "iopub.status.idle": "2024-07-11T23:30:16.542286Z", + "shell.execute_reply": "2024-07-11T23:30:16.541583Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:46.107771Z", - "iopub.status.busy": "2024-07-09T06:26:46.106984Z", - "iopub.status.idle": "2024-07-09T06:26:49.148445Z", - "shell.execute_reply": "2024-07-09T06:26:49.147812Z" + "iopub.execute_input": "2024-07-11T23:30:16.544989Z", + "iopub.status.busy": "2024-07-11T23:30:16.544395Z", + "iopub.status.idle": "2024-07-11T23:30:19.643394Z", + "shell.execute_reply": "2024-07-11T23:30:19.642687Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:49.150871Z", - "iopub.status.busy": "2024-07-09T06:26:49.150502Z", - "iopub.status.idle": "2024-07-09T06:26:49.209147Z", - "shell.execute_reply": "2024-07-09T06:26:49.208576Z" + "iopub.execute_input": "2024-07-11T23:30:19.645683Z", + "iopub.status.busy": "2024-07-11T23:30:19.645485Z", + "iopub.status.idle": "2024-07-11T23:30:19.704541Z", + "shell.execute_reply": "2024-07-11T23:30:19.703920Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:49.211500Z", - "iopub.status.busy": "2024-07-09T06:26:49.211164Z", - "iopub.status.idle": "2024-07-09T06:26:49.251723Z", - "shell.execute_reply": "2024-07-09T06:26:49.251225Z" + "iopub.execute_input": "2024-07-11T23:30:19.706625Z", + "iopub.status.busy": "2024-07-11T23:30:19.706436Z", + "iopub.status.idle": "2024-07-11T23:30:19.747422Z", + "shell.execute_reply": "2024-07-11T23:30:19.746814Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "a54c40cb", + "id": "6a908f9e", "metadata": {}, "source": [ "### How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?" @@ -1327,7 +1327,7 @@ }, { "cell_type": "markdown", - "id": "bab2f717", + "id": "b3be3fac", "metadata": {}, "source": [ "The instructions for specifying pre-computed data slices/clusters when detecting underperforming groups in a dataset are now covered in detail in the Datalab workflows tutorial.\n", @@ -1338,7 +1338,7 @@ }, { "cell_type": "markdown", - "id": "4a53b370", + "id": "7f19d55a", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by Datalab?\n", @@ -1349,13 +1349,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "209659fa", + "id": "b4d3770f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:49.253937Z", - "iopub.status.busy": "2024-07-09T06:26:49.253593Z", - "iopub.status.idle": "2024-07-09T06:26:49.261348Z", - "shell.execute_reply": "2024-07-09T06:26:49.260803Z" + "iopub.execute_input": "2024-07-11T23:30:19.749595Z", + "iopub.status.busy": "2024-07-11T23:30:19.749399Z", + "iopub.status.idle": "2024-07-11T23:30:19.757264Z", + "shell.execute_reply": "2024-07-11T23:30:19.756681Z" } }, "outputs": [], @@ -1457,7 +1457,7 @@ }, { "cell_type": "markdown", - "id": "c433c793", + "id": "6e8928b8", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. 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"_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } } }, "version_major": 2, diff --git a/master/tutorials/improving_ml_performance.ipynb b/master/tutorials/improving_ml_performance.ipynb index 1a1804c33..5bc7a9322 100644 --- a/master/tutorials/improving_ml_performance.ipynb +++ b/master/tutorials/improving_ml_performance.ipynb @@ -62,10 +62,10 @@ "id": "2d638465", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:53.572917Z", - "iopub.status.busy": "2024-07-09T06:26:53.572738Z", - "iopub.status.idle": "2024-07-09T06:26:54.710376Z", - "shell.execute_reply": "2024-07-09T06:26:54.709717Z" + "iopub.execute_input": "2024-07-11T23:30:23.188652Z", + "iopub.status.busy": "2024-07-11T23:30:23.188483Z", + "iopub.status.idle": "2024-07-11T23:30:24.378195Z", + "shell.execute_reply": "2024-07-11T23:30:24.377594Z" }, "nbsphinx": "hidden" }, @@ -75,7 +75,7 @@ "dependencies = [\"cleanlab\", \"xgboost\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -101,10 +101,10 @@ "id": "b0bbf715-47c6-44ea-b15e-89800e62ee04", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.713150Z", - "iopub.status.busy": "2024-07-09T06:26:54.712711Z", - "iopub.status.idle": "2024-07-09T06:26:54.717207Z", - "shell.execute_reply": "2024-07-09T06:26:54.716666Z" + "iopub.execute_input": "2024-07-11T23:30:24.380776Z", + "iopub.status.busy": "2024-07-11T23:30:24.380375Z", + "iopub.status.idle": "2024-07-11T23:30:24.384076Z", + "shell.execute_reply": "2024-07-11T23:30:24.383621Z" } }, "outputs": [], @@ -142,10 +142,10 @@ "id": "c58f8015-d051-411c-9e03-5659cf3ad956", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.719478Z", - "iopub.status.busy": "2024-07-09T06:26:54.719131Z", - "iopub.status.idle": "2024-07-09T06:26:54.915038Z", - "shell.execute_reply": "2024-07-09T06:26:54.914515Z" + "iopub.execute_input": "2024-07-11T23:30:24.386255Z", + "iopub.status.busy": "2024-07-11T23:30:24.385894Z", + "iopub.status.idle": "2024-07-11T23:30:24.661502Z", + "shell.execute_reply": "2024-07-11T23:30:24.660982Z" } }, "outputs": [ @@ -275,10 +275,10 @@ "id": "1b5f50e6-d125-4e61-b63e-4004f0c9099a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.917264Z", - "iopub.status.busy": "2024-07-09T06:26:54.916924Z", - "iopub.status.idle": "2024-07-09T06:26:54.922778Z", - "shell.execute_reply": "2024-07-09T06:26:54.922239Z" + "iopub.execute_input": "2024-07-11T23:30:24.663704Z", + "iopub.status.busy": "2024-07-11T23:30:24.663405Z", + "iopub.status.idle": "2024-07-11T23:30:24.669218Z", + "shell.execute_reply": "2024-07-11T23:30:24.668753Z" } }, "outputs": [], @@ -314,10 +314,10 @@ "id": "a36c21e9-1c32-4df9-bd87-fffeb8c2175f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.925001Z", - "iopub.status.busy": "2024-07-09T06:26:54.924597Z", - "iopub.status.idle": "2024-07-09T06:26:54.931679Z", - "shell.execute_reply": "2024-07-09T06:26:54.931113Z" + "iopub.execute_input": "2024-07-11T23:30:24.671444Z", + "iopub.status.busy": "2024-07-11T23:30:24.671086Z", + "iopub.status.idle": "2024-07-11T23:30:24.677899Z", + "shell.execute_reply": "2024-07-11T23:30:24.677433Z" } }, "outputs": [ @@ -420,10 +420,10 @@ "id": "5f856a3a-8aae-4836-b146-9ab68d8d1c7a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:54.933695Z", - "iopub.status.busy": "2024-07-09T06:26:54.933374Z", - "iopub.status.idle": "2024-07-09T06:26:54.937844Z", - "shell.execute_reply": "2024-07-09T06:26:54.937411Z" + "iopub.execute_input": "2024-07-11T23:30:24.679931Z", + "iopub.status.busy": "2024-07-11T23:30:24.679592Z", + "iopub.status.idle": "2024-07-11T23:30:24.684402Z", + "shell.execute_reply": "2024-07-11T23:30:24.683875Z" } }, "outputs": [], @@ -451,10 +451,10 @@ "id": "46275634-da56-4e58-9061-8108be2b585d", "metadata": { "execution": { - 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"iopub.execute_input": "2024-07-09T06:26:57.131390Z", - "iopub.status.busy": "2024-07-09T06:26:57.130806Z", - "iopub.status.idle": "2024-07-09T06:26:57.144118Z", - "shell.execute_reply": "2024-07-09T06:26:57.143599Z" + "iopub.execute_input": "2024-07-11T23:30:27.024340Z", + "iopub.status.busy": "2024-07-11T23:30:27.023084Z", + "iopub.status.idle": "2024-07-11T23:30:27.038209Z", + "shell.execute_reply": "2024-07-11T23:30:27.037679Z" } }, "outputs": [ @@ -2075,10 +2075,10 @@ "id": "7e218d04-0729-4f42-b264-51c73601ebe6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.146831Z", - "iopub.status.busy": "2024-07-09T06:26:57.146463Z", - "iopub.status.idle": "2024-07-09T06:26:57.149377Z", - "shell.execute_reply": "2024-07-09T06:26:57.148891Z" + "iopub.execute_input": "2024-07-11T23:30:27.041739Z", + "iopub.status.busy": "2024-07-11T23:30:27.040786Z", + "iopub.status.idle": "2024-07-11T23:30:27.044827Z", + "shell.execute_reply": "2024-07-11T23:30:27.044330Z" } }, "outputs": [], @@ -2092,10 +2092,10 @@ "id": "7e2bdb41-321e-4929-aa01-1f60948b9e8b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.151654Z", - "iopub.status.busy": "2024-07-09T06:26:57.151283Z", - "iopub.status.idle": "2024-07-09T06:26:57.155840Z", - "shell.execute_reply": "2024-07-09T06:26:57.155317Z" + "iopub.execute_input": "2024-07-11T23:30:27.048287Z", + "iopub.status.busy": "2024-07-11T23:30:27.047359Z", + "iopub.status.idle": "2024-07-11T23:30:27.052926Z", + "shell.execute_reply": "2024-07-11T23:30:27.052408Z" } }, "outputs": [], @@ -2119,10 +2119,10 @@ "id": "5ce2d89f-e832-448d-bfac-9941da15c895", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.158157Z", - "iopub.status.busy": "2024-07-09T06:26:57.157788Z", - "iopub.status.idle": "2024-07-09T06:26:57.167772Z", - "shell.execute_reply": "2024-07-09T06:26:57.167300Z" + "iopub.execute_input": "2024-07-11T23:30:27.056436Z", + "iopub.status.busy": "2024-07-11T23:30:27.055503Z", + "iopub.status.idle": "2024-07-11T23:30:27.067420Z", + "shell.execute_reply": "2024-07-11T23:30:27.066930Z" } }, "outputs": [ @@ -2162,10 +2162,10 @@ "id": "9f437756-112e-4531-84fc-6ceadd0c9ef5", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.170046Z", - "iopub.status.busy": "2024-07-09T06:26:57.169694Z", - "iopub.status.idle": "2024-07-09T06:26:57.642079Z", - "shell.execute_reply": "2024-07-09T06:26:57.641537Z" + "iopub.execute_input": "2024-07-11T23:30:27.070842Z", + "iopub.status.busy": "2024-07-11T23:30:27.069889Z", + "iopub.status.idle": "2024-07-11T23:30:27.609004Z", + "shell.execute_reply": "2024-07-11T23:30:27.608435Z" } }, "outputs": [], @@ -2196,10 +2196,10 @@ "id": "707625f6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.644886Z", - "iopub.status.busy": "2024-07-09T06:26:57.644506Z", - "iopub.status.idle": "2024-07-09T06:26:57.765208Z", - "shell.execute_reply": "2024-07-09T06:26:57.764592Z" + "iopub.execute_input": "2024-07-11T23:30:27.612582Z", + "iopub.status.busy": "2024-07-11T23:30:27.611508Z", + "iopub.status.idle": "2024-07-11T23:30:27.747332Z", + "shell.execute_reply": "2024-07-11T23:30:27.746630Z" } }, "outputs": [ @@ -2410,10 +2410,10 @@ "id": "25afe46c-a521-483c-b168-728c76d970dc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.767934Z", - "iopub.status.busy": "2024-07-09T06:26:57.767539Z", - "iopub.status.idle": "2024-07-09T06:26:57.774227Z", - "shell.execute_reply": "2024-07-09T06:26:57.773733Z" + "iopub.execute_input": "2024-07-11T23:30:27.751147Z", + "iopub.status.busy": "2024-07-11T23:30:27.750174Z", + "iopub.status.idle": "2024-07-11T23:30:27.758952Z", + "shell.execute_reply": "2024-07-11T23:30:27.758433Z" } }, "outputs": [ @@ -2443,10 +2443,10 @@ "id": "6efcf06f-cc40-4964-87df-5204d3b1b9d4", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.777381Z", - "iopub.status.busy": "2024-07-09T06:26:57.776332Z", - "iopub.status.idle": "2024-07-09T06:26:57.784838Z", - "shell.execute_reply": "2024-07-09T06:26:57.784346Z" + "iopub.execute_input": "2024-07-11T23:30:27.762558Z", + "iopub.status.busy": "2024-07-11T23:30:27.761599Z", + "iopub.status.idle": "2024-07-11T23:30:27.769609Z", + "shell.execute_reply": "2024-07-11T23:30:27.769099Z" } }, "outputs": [ @@ -2479,10 +2479,10 @@ "id": "7bc87d72-bbd5-4ed2-bc38-2218862ddfbd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.788740Z", - "iopub.status.busy": "2024-07-09T06:26:57.787559Z", - "iopub.status.idle": "2024-07-09T06:26:57.795543Z", - "shell.execute_reply": "2024-07-09T06:26:57.795055Z" + "iopub.execute_input": "2024-07-11T23:30:27.773109Z", + "iopub.status.busy": "2024-07-11T23:30:27.772177Z", + "iopub.status.idle": "2024-07-11T23:30:27.779528Z", + "shell.execute_reply": "2024-07-11T23:30:27.779029Z" } }, "outputs": [ @@ -2515,10 +2515,10 @@ "id": "9c70be3e-0ba2-4e3e-8c50-359d402ca1fe", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.799183Z", - "iopub.status.busy": "2024-07-09T06:26:57.798006Z", - "iopub.status.idle": "2024-07-09T06:26:57.804472Z", - "shell.execute_reply": "2024-07-09T06:26:57.803989Z" + "iopub.execute_input": "2024-07-11T23:30:27.783001Z", + "iopub.status.busy": "2024-07-11T23:30:27.782081Z", + "iopub.status.idle": "2024-07-11T23:30:27.788134Z", + "shell.execute_reply": "2024-07-11T23:30:27.787639Z" } }, "outputs": [ @@ -2544,10 +2544,10 @@ "id": "08080458-0cd7-447d-80e6-384cb8d31eaf", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.808096Z", - "iopub.status.busy": "2024-07-09T06:26:57.807195Z", - "iopub.status.idle": "2024-07-09T06:26:57.812308Z", - "shell.execute_reply": "2024-07-09T06:26:57.811777Z" + "iopub.execute_input": "2024-07-11T23:30:27.790681Z", + "iopub.status.busy": "2024-07-11T23:30:27.790503Z", + "iopub.status.idle": "2024-07-11T23:30:27.796116Z", + "shell.execute_reply": "2024-07-11T23:30:27.795499Z" } }, "outputs": [], @@ -2571,10 +2571,10 @@ "id": "009bb215-4d26-47da-a230-d0ccf4122629", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.814541Z", - "iopub.status.busy": "2024-07-09T06:26:57.814291Z", - "iopub.status.idle": "2024-07-09T06:26:57.894429Z", - "shell.execute_reply": "2024-07-09T06:26:57.893893Z" + "iopub.execute_input": "2024-07-11T23:30:27.798287Z", + "iopub.status.busy": "2024-07-11T23:30:27.798109Z", + "iopub.status.idle": "2024-07-11T23:30:27.878742Z", + "shell.execute_reply": "2024-07-11T23:30:27.878179Z" } }, "outputs": [ @@ -3054,10 +3054,10 @@ "id": "dcaeda51-9b24-4c04-889d-7e63563594fc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.896631Z", - "iopub.status.busy": "2024-07-09T06:26:57.896354Z", - "iopub.status.idle": "2024-07-09T06:26:57.906205Z", - "shell.execute_reply": "2024-07-09T06:26:57.905633Z" + "iopub.execute_input": "2024-07-11T23:30:27.881131Z", + "iopub.status.busy": "2024-07-11T23:30:27.880774Z", + "iopub.status.idle": "2024-07-11T23:30:27.890590Z", + "shell.execute_reply": "2024-07-11T23:30:27.890042Z" } }, "outputs": [ @@ -3113,10 +3113,10 @@ "id": "1d92d78d-e4a8-4322-bf38-f5a5dae3bf17", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.910159Z", - "iopub.status.busy": "2024-07-09T06:26:57.909684Z", - "iopub.status.idle": "2024-07-09T06:26:57.912488Z", - "shell.execute_reply": "2024-07-09T06:26:57.912033Z" + "iopub.execute_input": "2024-07-11T23:30:27.893705Z", + "iopub.status.busy": "2024-07-11T23:30:27.892918Z", + "iopub.status.idle": "2024-07-11T23:30:27.896299Z", + "shell.execute_reply": "2024-07-11T23:30:27.895855Z" } }, "outputs": [], @@ -3152,10 +3152,10 @@ "id": "941ab2a6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.914998Z", - "iopub.status.busy": "2024-07-09T06:26:57.914575Z", - "iopub.status.idle": "2024-07-09T06:26:57.923907Z", - "shell.execute_reply": "2024-07-09T06:26:57.923469Z" + "iopub.execute_input": "2024-07-11T23:30:27.898408Z", + "iopub.status.busy": "2024-07-11T23:30:27.898077Z", + "iopub.status.idle": "2024-07-11T23:30:27.908114Z", + "shell.execute_reply": "2024-07-11T23:30:27.907670Z" } }, "outputs": [], @@ -3261,10 +3261,10 @@ "id": "50666fb9", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.925928Z", - "iopub.status.busy": "2024-07-09T06:26:57.925621Z", - "iopub.status.idle": "2024-07-09T06:26:57.932179Z", - "shell.execute_reply": "2024-07-09T06:26:57.931737Z" + "iopub.execute_input": "2024-07-11T23:30:27.910112Z", + "iopub.status.busy": "2024-07-11T23:30:27.909895Z", + "iopub.status.idle": "2024-07-11T23:30:27.916369Z", + "shell.execute_reply": "2024-07-11T23:30:27.915911Z" }, "nbsphinx": "hidden" }, @@ -3346,10 +3346,10 @@ "id": "f5aa2883-d20d-481f-a012-fcc7ff8e3e7e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.934245Z", - "iopub.status.busy": "2024-07-09T06:26:57.933861Z", - "iopub.status.idle": "2024-07-09T06:26:57.937104Z", - "shell.execute_reply": "2024-07-09T06:26:57.936671Z" + "iopub.execute_input": "2024-07-11T23:30:27.918412Z", + "iopub.status.busy": "2024-07-11T23:30:27.918060Z", + "iopub.status.idle": "2024-07-11T23:30:27.921488Z", + "shell.execute_reply": "2024-07-11T23:30:27.921009Z" } }, "outputs": [], @@ -3373,10 +3373,10 @@ "id": "ce1c0ada-88b1-4654-b43f-3c0b59002979", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:26:57.938975Z", - "iopub.status.busy": "2024-07-09T06:26:57.938647Z", - "iopub.status.idle": "2024-07-09T06:27:01.641872Z", - "shell.execute_reply": "2024-07-09T06:27:01.641360Z" + "iopub.execute_input": "2024-07-11T23:30:27.923536Z", + "iopub.status.busy": "2024-07-11T23:30:27.923220Z", + "iopub.status.idle": "2024-07-11T23:30:31.984648Z", + "shell.execute_reply": "2024-07-11T23:30:31.984103Z" } }, "outputs": [ @@ -3419,10 +3419,10 @@ "id": "3f572acf-31c3-4874-9100-451796e35b06", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:01.644959Z", - "iopub.status.busy": "2024-07-09T06:27:01.644089Z", - "iopub.status.idle": "2024-07-09T06:27:01.648019Z", - "shell.execute_reply": "2024-07-09T06:27:01.647564Z" + "iopub.execute_input": "2024-07-11T23:30:31.988318Z", + "iopub.status.busy": "2024-07-11T23:30:31.987392Z", + "iopub.status.idle": "2024-07-11T23:30:31.991474Z", + "shell.execute_reply": "2024-07-11T23:30:31.991025Z" } }, "outputs": [ @@ -3460,10 +3460,10 @@ "id": "6a025a88", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:01.649958Z", - "iopub.status.busy": "2024-07-09T06:27:01.649677Z", - "iopub.status.idle": "2024-07-09T06:27:01.652295Z", - "shell.execute_reply": "2024-07-09T06:27:01.651802Z" + "iopub.execute_input": "2024-07-11T23:30:31.993646Z", + "iopub.status.busy": "2024-07-11T23:30:31.993285Z", + "iopub.status.idle": "2024-07-11T23:30:31.997047Z", + "shell.execute_reply": "2024-07-11T23:30:31.996453Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb index e7571dfc6..bbdde88ee 100644 --- a/master/tutorials/indepth_overview.ipynb +++ b/master/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:04.830463Z", - "iopub.status.busy": "2024-07-09T06:27:04.830294Z", - "iopub.status.idle": "2024-07-09T06:27:06.025206Z", - "shell.execute_reply": "2024-07-09T06:27:06.024596Z" + "iopub.execute_input": "2024-07-11T23:30:35.264803Z", + "iopub.status.busy": "2024-07-11T23:30:35.264307Z", + "iopub.status.idle": "2024-07-11T23:30:36.493496Z", + "shell.execute_reply": "2024-07-11T23:30:36.492965Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.027800Z", - "iopub.status.busy": "2024-07-09T06:27:06.027471Z", - "iopub.status.idle": "2024-07-09T06:27:06.212766Z", - "shell.execute_reply": "2024-07-09T06:27:06.212206Z" + "iopub.execute_input": "2024-07-11T23:30:36.496092Z", + "iopub.status.busy": "2024-07-11T23:30:36.495634Z", + "iopub.status.idle": "2024-07-11T23:30:36.685025Z", + "shell.execute_reply": "2024-07-11T23:30:36.684501Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.215365Z", - "iopub.status.busy": "2024-07-09T06:27:06.215033Z", - "iopub.status.idle": "2024-07-09T06:27:06.226517Z", - "shell.execute_reply": "2024-07-09T06:27:06.226088Z" + "iopub.execute_input": "2024-07-11T23:30:36.687632Z", + "iopub.status.busy": "2024-07-11T23:30:36.687336Z", + "iopub.status.idle": "2024-07-11T23:30:36.699138Z", + "shell.execute_reply": "2024-07-11T23:30:36.698702Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.228721Z", - "iopub.status.busy": "2024-07-09T06:27:06.228284Z", - "iopub.status.idle": "2024-07-09T06:27:06.463202Z", - "shell.execute_reply": "2024-07-09T06:27:06.462603Z" + "iopub.execute_input": "2024-07-11T23:30:36.701167Z", + "iopub.status.busy": "2024-07-11T23:30:36.700820Z", + "iopub.status.idle": "2024-07-11T23:30:36.942197Z", + "shell.execute_reply": "2024-07-11T23:30:36.941542Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.465737Z", - "iopub.status.busy": "2024-07-09T06:27:06.465380Z", - "iopub.status.idle": "2024-07-09T06:27:06.491353Z", - "shell.execute_reply": "2024-07-09T06:27:06.490841Z" + "iopub.execute_input": "2024-07-11T23:30:36.944497Z", + "iopub.status.busy": "2024-07-11T23:30:36.944303Z", + "iopub.status.idle": "2024-07-11T23:30:36.970585Z", + "shell.execute_reply": "2024-07-11T23:30:36.970080Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:06.493408Z", - "iopub.status.busy": "2024-07-09T06:27:06.493075Z", - "iopub.status.idle": "2024-07-09T06:27:08.559484Z", - "shell.execute_reply": "2024-07-09T06:27:08.558857Z" + "iopub.execute_input": "2024-07-11T23:30:36.972931Z", + "iopub.status.busy": "2024-07-11T23:30:36.972732Z", + "iopub.status.idle": "2024-07-11T23:30:39.218576Z", + "shell.execute_reply": "2024-07-11T23:30:39.217861Z" } }, "outputs": [ @@ -474,10 +474,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:08.561982Z", - "iopub.status.busy": "2024-07-09T06:27:08.561454Z", - "iopub.status.idle": "2024-07-09T06:27:08.579506Z", - "shell.execute_reply": "2024-07-09T06:27:08.578938Z" + "iopub.execute_input": "2024-07-11T23:30:39.221370Z", + "iopub.status.busy": "2024-07-11T23:30:39.220809Z", + "iopub.status.idle": "2024-07-11T23:30:39.239032Z", + "shell.execute_reply": "2024-07-11T23:30:39.238501Z" }, "scrolled": true }, @@ -607,10 +607,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:08.581768Z", - "iopub.status.busy": "2024-07-09T06:27:08.581433Z", - "iopub.status.idle": "2024-07-09T06:27:10.041147Z", - "shell.execute_reply": "2024-07-09T06:27:10.040535Z" + "iopub.execute_input": "2024-07-11T23:30:39.241335Z", + "iopub.status.busy": "2024-07-11T23:30:39.240848Z", + "iopub.status.idle": "2024-07-11T23:30:40.875594Z", + "shell.execute_reply": "2024-07-11T23:30:40.874942Z" }, "id": "AaHC5MRKjruT" }, @@ -729,10 +729,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.043766Z", - "iopub.status.busy": "2024-07-09T06:27:10.043148Z", - "iopub.status.idle": "2024-07-09T06:27:10.056923Z", - "shell.execute_reply": "2024-07-09T06:27:10.056388Z" + "iopub.execute_input": "2024-07-11T23:30:40.878730Z", + "iopub.status.busy": "2024-07-11T23:30:40.877863Z", + "iopub.status.idle": "2024-07-11T23:30:40.891772Z", + "shell.execute_reply": "2024-07-11T23:30:40.891273Z" }, "id": "Wy27rvyhjruU" }, @@ -781,10 +781,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.059184Z", - "iopub.status.busy": "2024-07-09T06:27:10.058724Z", - "iopub.status.idle": "2024-07-09T06:27:10.131352Z", - "shell.execute_reply": "2024-07-09T06:27:10.130748Z" + "iopub.execute_input": "2024-07-11T23:30:40.894007Z", + "iopub.status.busy": "2024-07-11T23:30:40.893665Z", + "iopub.status.idle": "2024-07-11T23:30:40.981651Z", + "shell.execute_reply": "2024-07-11T23:30:40.981069Z" }, "id": "Db8YHnyVjruU" }, @@ -891,10 +891,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.133987Z", - "iopub.status.busy": "2024-07-09T06:27:10.133447Z", - "iopub.status.idle": "2024-07-09T06:27:10.342019Z", - "shell.execute_reply": "2024-07-09T06:27:10.341476Z" + "iopub.execute_input": "2024-07-11T23:30:40.984135Z", + "iopub.status.busy": "2024-07-11T23:30:40.983728Z", + "iopub.status.idle": "2024-07-11T23:30:41.195885Z", + "shell.execute_reply": "2024-07-11T23:30:41.195212Z" }, "id": "iJqAHuS2jruV" }, @@ -931,10 +931,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.344306Z", - "iopub.status.busy": "2024-07-09T06:27:10.343957Z", - "iopub.status.idle": "2024-07-09T06:27:10.361242Z", - "shell.execute_reply": "2024-07-09T06:27:10.360779Z" + "iopub.execute_input": "2024-07-11T23:30:41.198369Z", + "iopub.status.busy": "2024-07-11T23:30:41.197997Z", + "iopub.status.idle": "2024-07-11T23:30:41.215862Z", + "shell.execute_reply": "2024-07-11T23:30:41.215283Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1400,10 +1400,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.363517Z", - "iopub.status.busy": "2024-07-09T06:27:10.363117Z", - "iopub.status.idle": "2024-07-09T06:27:10.372893Z", - "shell.execute_reply": "2024-07-09T06:27:10.372453Z" + "iopub.execute_input": "2024-07-11T23:30:41.218216Z", + "iopub.status.busy": "2024-07-11T23:30:41.217763Z", + "iopub.status.idle": "2024-07-11T23:30:41.227794Z", + "shell.execute_reply": "2024-07-11T23:30:41.227344Z" }, "id": "0lonvOYvjruV" }, @@ -1550,10 +1550,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.375119Z", - "iopub.status.busy": "2024-07-09T06:27:10.374773Z", - "iopub.status.idle": "2024-07-09T06:27:10.461355Z", - "shell.execute_reply": "2024-07-09T06:27:10.460793Z" + "iopub.execute_input": "2024-07-11T23:30:41.229840Z", + "iopub.status.busy": "2024-07-11T23:30:41.229567Z", + "iopub.status.idle": "2024-07-11T23:30:41.328903Z", + "shell.execute_reply": "2024-07-11T23:30:41.328287Z" }, "id": "MfqTCa3kjruV" }, @@ -1634,10 +1634,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.463772Z", - "iopub.status.busy": "2024-07-09T06:27:10.463410Z", - "iopub.status.idle": "2024-07-09T06:27:10.595934Z", - "shell.execute_reply": "2024-07-09T06:27:10.595287Z" + "iopub.execute_input": "2024-07-11T23:30:41.331534Z", + "iopub.status.busy": "2024-07-11T23:30:41.331213Z", + "iopub.status.idle": "2024-07-11T23:30:41.475505Z", + "shell.execute_reply": "2024-07-11T23:30:41.474914Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1697,10 +1697,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.598470Z", - "iopub.status.busy": "2024-07-09T06:27:10.598089Z", - "iopub.status.idle": "2024-07-09T06:27:10.601819Z", - "shell.execute_reply": "2024-07-09T06:27:10.601299Z" + "iopub.execute_input": "2024-07-11T23:30:41.478006Z", + "iopub.status.busy": "2024-07-11T23:30:41.477608Z", + "iopub.status.idle": "2024-07-11T23:30:41.481745Z", + "shell.execute_reply": "2024-07-11T23:30:41.481221Z" }, "id": "0rXP3ZPWjruW" }, @@ -1738,10 +1738,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.603912Z", - "iopub.status.busy": "2024-07-09T06:27:10.603638Z", - "iopub.status.idle": "2024-07-09T06:27:10.607432Z", - "shell.execute_reply": "2024-07-09T06:27:10.606860Z" + "iopub.execute_input": "2024-07-11T23:30:41.483979Z", + "iopub.status.busy": "2024-07-11T23:30:41.483636Z", + "iopub.status.idle": "2024-07-11T23:30:41.487356Z", + "shell.execute_reply": "2024-07-11T23:30:41.486793Z" }, "id": "-iRPe8KXjruW" }, @@ -1796,10 +1796,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.609489Z", - "iopub.status.busy": "2024-07-09T06:27:10.609167Z", - "iopub.status.idle": "2024-07-09T06:27:10.645674Z", - "shell.execute_reply": "2024-07-09T06:27:10.645104Z" + "iopub.execute_input": "2024-07-11T23:30:41.489482Z", + "iopub.status.busy": "2024-07-11T23:30:41.489145Z", + "iopub.status.idle": "2024-07-11T23:30:41.525559Z", + "shell.execute_reply": "2024-07-11T23:30:41.525078Z" }, "id": "ZpipUliyjruW" }, @@ -1850,10 +1850,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.647737Z", - "iopub.status.busy": "2024-07-09T06:27:10.647426Z", - "iopub.status.idle": "2024-07-09T06:27:10.688357Z", - "shell.execute_reply": "2024-07-09T06:27:10.687867Z" + "iopub.execute_input": "2024-07-11T23:30:41.527582Z", + "iopub.status.busy": "2024-07-11T23:30:41.527331Z", + "iopub.status.idle": "2024-07-11T23:30:41.568384Z", + "shell.execute_reply": "2024-07-11T23:30:41.567799Z" }, "id": "SLq-3q4xjruX" }, @@ -1922,10 +1922,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.690497Z", - "iopub.status.busy": "2024-07-09T06:27:10.690152Z", - "iopub.status.idle": "2024-07-09T06:27:10.784906Z", - "shell.execute_reply": "2024-07-09T06:27:10.784195Z" + "iopub.execute_input": "2024-07-11T23:30:41.570470Z", + "iopub.status.busy": "2024-07-11T23:30:41.570127Z", + "iopub.status.idle": "2024-07-11T23:30:41.675540Z", + "shell.execute_reply": "2024-07-11T23:30:41.674905Z" }, "id": "g5LHhhuqFbXK" }, @@ -1957,10 +1957,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.787438Z", - "iopub.status.busy": "2024-07-09T06:27:10.787205Z", - "iopub.status.idle": "2024-07-09T06:27:10.875324Z", - "shell.execute_reply": "2024-07-09T06:27:10.874533Z" + "iopub.execute_input": "2024-07-11T23:30:41.678360Z", + "iopub.status.busy": "2024-07-11T23:30:41.677952Z", + "iopub.status.idle": "2024-07-11T23:30:41.789805Z", + "shell.execute_reply": "2024-07-11T23:30:41.789236Z" }, "id": "p7w8F8ezBcet" }, @@ -2017,10 +2017,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:10.877938Z", - "iopub.status.busy": "2024-07-09T06:27:10.877489Z", - "iopub.status.idle": "2024-07-09T06:27:11.089399Z", - "shell.execute_reply": "2024-07-09T06:27:11.088722Z" + "iopub.execute_input": "2024-07-11T23:30:41.792356Z", + "iopub.status.busy": "2024-07-11T23:30:41.791985Z", + "iopub.status.idle": "2024-07-11T23:30:42.004049Z", + "shell.execute_reply": "2024-07-11T23:30:42.003388Z" }, "id": "WETRL74tE_sU" }, @@ -2055,10 +2055,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.091873Z", - "iopub.status.busy": "2024-07-09T06:27:11.091658Z", - "iopub.status.idle": "2024-07-09T06:27:11.278736Z", - "shell.execute_reply": "2024-07-09T06:27:11.278122Z" + "iopub.execute_input": "2024-07-11T23:30:42.006376Z", + "iopub.status.busy": "2024-07-11T23:30:42.006024Z", + "iopub.status.idle": "2024-07-11T23:30:42.245802Z", + "shell.execute_reply": "2024-07-11T23:30:42.245141Z" }, "id": "kCfdx2gOLmXS" }, @@ -2220,10 +2220,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.281105Z", - "iopub.status.busy": "2024-07-09T06:27:11.280730Z", - "iopub.status.idle": "2024-07-09T06:27:11.286566Z", - "shell.execute_reply": "2024-07-09T06:27:11.286117Z" + "iopub.execute_input": "2024-07-11T23:30:42.248377Z", + "iopub.status.busy": "2024-07-11T23:30:42.248113Z", + "iopub.status.idle": "2024-07-11T23:30:42.254532Z", + "shell.execute_reply": "2024-07-11T23:30:42.254003Z" }, "id": "-uogYRWFYnuu" }, @@ -2277,10 +2277,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.288560Z", - "iopub.status.busy": "2024-07-09T06:27:11.288235Z", - "iopub.status.idle": "2024-07-09T06:27:11.502240Z", - "shell.execute_reply": "2024-07-09T06:27:11.501640Z" + "iopub.execute_input": "2024-07-11T23:30:42.256644Z", + "iopub.status.busy": "2024-07-11T23:30:42.256283Z", + "iopub.status.idle": "2024-07-11T23:30:42.476429Z", + "shell.execute_reply": "2024-07-11T23:30:42.475835Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2327,10 +2327,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:11.504499Z", - "iopub.status.busy": "2024-07-09T06:27:11.504154Z", - "iopub.status.idle": "2024-07-09T06:27:12.558282Z", - "shell.execute_reply": "2024-07-09T06:27:12.557776Z" + "iopub.execute_input": "2024-07-11T23:30:42.478972Z", + "iopub.status.busy": "2024-07-11T23:30:42.478563Z", + "iopub.status.idle": "2024-07-11T23:30:43.537855Z", + "shell.execute_reply": "2024-07-11T23:30:43.537283Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb index 345a175cf..88b42a00a 100644 --- a/master/tutorials/multiannotator.ipynb +++ b/master/tutorials/multiannotator.ipynb @@ -88,10 +88,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:15.909512Z", - "iopub.status.busy": "2024-07-09T06:27:15.909333Z", - "iopub.status.idle": "2024-07-09T06:27:17.025416Z", - "shell.execute_reply": "2024-07-09T06:27:17.024860Z" + "iopub.execute_input": "2024-07-11T23:30:47.295987Z", + "iopub.status.busy": "2024-07-11T23:30:47.295827Z", + "iopub.status.idle": "2024-07-11T23:30:48.446213Z", + "shell.execute_reply": "2024-07-11T23:30:48.445550Z" }, "nbsphinx": "hidden" }, @@ -101,7 +101,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.028078Z", - "iopub.status.busy": "2024-07-09T06:27:17.027788Z", - "iopub.status.idle": "2024-07-09T06:27:17.031022Z", - "shell.execute_reply": "2024-07-09T06:27:17.030547Z" + "iopub.execute_input": "2024-07-11T23:30:48.448907Z", + "iopub.status.busy": "2024-07-11T23:30:48.448611Z", + "iopub.status.idle": "2024-07-11T23:30:48.451812Z", + "shell.execute_reply": "2024-07-11T23:30:48.451267Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.033112Z", - "iopub.status.busy": "2024-07-09T06:27:17.032789Z", - "iopub.status.idle": "2024-07-09T06:27:17.040343Z", - "shell.execute_reply": "2024-07-09T06:27:17.039908Z" + "iopub.execute_input": "2024-07-11T23:30:48.454124Z", + "iopub.status.busy": "2024-07-11T23:30:48.453781Z", + "iopub.status.idle": "2024-07-11T23:30:48.461885Z", + "shell.execute_reply": "2024-07-11T23:30:48.461345Z" }, "nbsphinx": "hidden" }, @@ -350,10 +350,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.042282Z", - "iopub.status.busy": "2024-07-09T06:27:17.041970Z", - "iopub.status.idle": "2024-07-09T06:27:17.094153Z", - "shell.execute_reply": "2024-07-09T06:27:17.093528Z" + "iopub.execute_input": "2024-07-11T23:30:48.463883Z", + "iopub.status.busy": "2024-07-11T23:30:48.463526Z", + "iopub.status.idle": "2024-07-11T23:30:48.511286Z", + "shell.execute_reply": "2024-07-11T23:30:48.510676Z" } }, "outputs": [], @@ -379,10 +379,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.096794Z", - "iopub.status.busy": "2024-07-09T06:27:17.096411Z", - "iopub.status.idle": "2024-07-09T06:27:17.113492Z", - "shell.execute_reply": "2024-07-09T06:27:17.113050Z" + "iopub.execute_input": "2024-07-11T23:30:48.513540Z", + "iopub.status.busy": "2024-07-11T23:30:48.513347Z", + "iopub.status.idle": "2024-07-11T23:30:48.530401Z", + "shell.execute_reply": "2024-07-11T23:30:48.529804Z" } }, "outputs": [ @@ -597,10 +597,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.115656Z", - "iopub.status.busy": "2024-07-09T06:27:17.115325Z", - "iopub.status.idle": "2024-07-09T06:27:17.119055Z", - "shell.execute_reply": "2024-07-09T06:27:17.118574Z" + "iopub.execute_input": "2024-07-11T23:30:48.532498Z", + "iopub.status.busy": "2024-07-11T23:30:48.532194Z", + "iopub.status.idle": "2024-07-11T23:30:48.536102Z", + "shell.execute_reply": "2024-07-11T23:30:48.535541Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.121058Z", - "iopub.status.busy": "2024-07-09T06:27:17.120762Z", - "iopub.status.idle": "2024-07-09T06:27:17.134516Z", - "shell.execute_reply": "2024-07-09T06:27:17.134084Z" + "iopub.execute_input": "2024-07-11T23:30:48.538306Z", + "iopub.status.busy": "2024-07-11T23:30:48.537881Z", + "iopub.status.idle": "2024-07-11T23:30:48.554526Z", + "shell.execute_reply": "2024-07-11T23:30:48.553922Z" } }, "outputs": [], @@ -698,10 +698,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.136707Z", - "iopub.status.busy": "2024-07-09T06:27:17.136279Z", - "iopub.status.idle": "2024-07-09T06:27:17.162081Z", - "shell.execute_reply": "2024-07-09T06:27:17.161647Z" + "iopub.execute_input": "2024-07-11T23:30:48.556499Z", + "iopub.status.busy": "2024-07-11T23:30:48.556180Z", + "iopub.status.idle": "2024-07-11T23:30:48.581772Z", + "shell.execute_reply": "2024-07-11T23:30:48.581203Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:17.164409Z", - "iopub.status.busy": "2024-07-09T06:27:17.163994Z", - "iopub.status.idle": "2024-07-09T06:27:19.093254Z", - "shell.execute_reply": "2024-07-09T06:27:19.092676Z" + "iopub.execute_input": "2024-07-11T23:30:48.583928Z", + "iopub.status.busy": "2024-07-11T23:30:48.583750Z", + "iopub.status.idle": "2024-07-11T23:30:50.576132Z", + "shell.execute_reply": "2024-07-11T23:30:50.575469Z" } }, "outputs": [], @@ -771,10 +771,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.095800Z", - "iopub.status.busy": "2024-07-09T06:27:19.095336Z", - "iopub.status.idle": "2024-07-09T06:27:19.102192Z", - "shell.execute_reply": "2024-07-09T06:27:19.101750Z" + "iopub.execute_input": "2024-07-11T23:30:50.578713Z", + "iopub.status.busy": "2024-07-11T23:30:50.578434Z", + "iopub.status.idle": "2024-07-11T23:30:50.585273Z", + "shell.execute_reply": "2024-07-11T23:30:50.584817Z" }, "scrolled": true }, @@ -885,10 +885,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.104190Z", - "iopub.status.busy": "2024-07-09T06:27:19.103866Z", - "iopub.status.idle": "2024-07-09T06:27:19.116533Z", - "shell.execute_reply": "2024-07-09T06:27:19.116058Z" + "iopub.execute_input": "2024-07-11T23:30:50.587265Z", + "iopub.status.busy": "2024-07-11T23:30:50.586948Z", + "iopub.status.idle": "2024-07-11T23:30:50.599514Z", + "shell.execute_reply": "2024-07-11T23:30:50.598967Z" } }, "outputs": [ @@ -1138,10 +1138,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.118619Z", - "iopub.status.busy": "2024-07-09T06:27:19.118287Z", - "iopub.status.idle": "2024-07-09T06:27:19.124788Z", - "shell.execute_reply": "2024-07-09T06:27:19.124346Z" + "iopub.execute_input": "2024-07-11T23:30:50.601450Z", + "iopub.status.busy": "2024-07-11T23:30:50.601274Z", + "iopub.status.idle": "2024-07-11T23:30:50.607789Z", + "shell.execute_reply": "2024-07-11T23:30:50.607325Z" }, "scrolled": true }, @@ -1315,10 +1315,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.126835Z", - "iopub.status.busy": "2024-07-09T06:27:19.126514Z", - "iopub.status.idle": "2024-07-09T06:27:19.129039Z", - "shell.execute_reply": "2024-07-09T06:27:19.128622Z" + "iopub.execute_input": "2024-07-11T23:30:50.609671Z", + "iopub.status.busy": "2024-07-11T23:30:50.609501Z", + "iopub.status.idle": "2024-07-11T23:30:50.612205Z", + "shell.execute_reply": "2024-07-11T23:30:50.611751Z" } }, "outputs": [], @@ -1340,10 +1340,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.131096Z", - "iopub.status.busy": "2024-07-09T06:27:19.130774Z", - "iopub.status.idle": "2024-07-09T06:27:19.134005Z", - "shell.execute_reply": "2024-07-09T06:27:19.133516Z" + "iopub.execute_input": "2024-07-11T23:30:50.614165Z", + "iopub.status.busy": "2024-07-11T23:30:50.613975Z", + "iopub.status.idle": "2024-07-11T23:30:50.617541Z", + "shell.execute_reply": "2024-07-11T23:30:50.616991Z" }, "scrolled": true }, @@ -1395,10 +1395,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.136079Z", - "iopub.status.busy": "2024-07-09T06:27:19.135766Z", - "iopub.status.idle": "2024-07-09T06:27:19.138223Z", - "shell.execute_reply": "2024-07-09T06:27:19.137811Z" + "iopub.execute_input": "2024-07-11T23:30:50.619656Z", + "iopub.status.busy": "2024-07-11T23:30:50.619341Z", + "iopub.status.idle": "2024-07-11T23:30:50.622025Z", + "shell.execute_reply": "2024-07-11T23:30:50.621552Z" } }, "outputs": [], @@ -1422,10 +1422,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.140207Z", - "iopub.status.busy": "2024-07-09T06:27:19.139883Z", - "iopub.status.idle": "2024-07-09T06:27:19.144100Z", - "shell.execute_reply": "2024-07-09T06:27:19.143647Z" + "iopub.execute_input": "2024-07-11T23:30:50.623893Z", + "iopub.status.busy": "2024-07-11T23:30:50.623722Z", + "iopub.status.idle": "2024-07-11T23:30:50.627585Z", + "shell.execute_reply": "2024-07-11T23:30:50.627067Z" } }, "outputs": [ @@ -1480,10 +1480,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.146159Z", - "iopub.status.busy": "2024-07-09T06:27:19.145854Z", - "iopub.status.idle": "2024-07-09T06:27:19.174449Z", - "shell.execute_reply": "2024-07-09T06:27:19.173890Z" + "iopub.execute_input": "2024-07-11T23:30:50.629785Z", + "iopub.status.busy": "2024-07-11T23:30:50.629309Z", + "iopub.status.idle": "2024-07-11T23:30:50.657785Z", + "shell.execute_reply": "2024-07-11T23:30:50.657301Z" } }, "outputs": [], @@ -1526,10 +1526,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:19.177021Z", - "iopub.status.busy": "2024-07-09T06:27:19.176539Z", - "iopub.status.idle": "2024-07-09T06:27:19.181309Z", - "shell.execute_reply": "2024-07-09T06:27:19.180812Z" + "iopub.execute_input": "2024-07-11T23:30:50.659942Z", + "iopub.status.busy": "2024-07-11T23:30:50.659763Z", + "iopub.status.idle": "2024-07-11T23:30:50.664651Z", + "shell.execute_reply": "2024-07-11T23:30:50.664188Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb index 9c34ac22c..5b9d1aa9c 100644 --- a/master/tutorials/multilabel_classification.ipynb +++ b/master/tutorials/multilabel_classification.ipynb @@ -64,10 +64,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:22.153886Z", - "iopub.status.busy": "2024-07-09T06:27:22.153426Z", - "iopub.status.idle": "2024-07-09T06:27:23.311889Z", - "shell.execute_reply": "2024-07-09T06:27:23.311338Z" + "iopub.execute_input": "2024-07-11T23:30:53.499408Z", + "iopub.status.busy": "2024-07-11T23:30:53.498925Z", + "iopub.status.idle": "2024-07-11T23:30:54.713257Z", + "shell.execute_reply": "2024-07-11T23:30:54.712684Z" }, "nbsphinx": "hidden" }, @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -105,10 +105,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.314428Z", - "iopub.status.busy": "2024-07-09T06:27:23.313980Z", - "iopub.status.idle": "2024-07-09T06:27:23.508688Z", - "shell.execute_reply": "2024-07-09T06:27:23.508123Z" + "iopub.execute_input": "2024-07-11T23:30:54.715960Z", + "iopub.status.busy": "2024-07-11T23:30:54.715494Z", + "iopub.status.idle": "2024-07-11T23:30:54.911110Z", + "shell.execute_reply": "2024-07-11T23:30:54.910538Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.511393Z", - "iopub.status.busy": "2024-07-09T06:27:23.510929Z", - "iopub.status.idle": "2024-07-09T06:27:23.524862Z", - "shell.execute_reply": "2024-07-09T06:27:23.524396Z" + "iopub.execute_input": "2024-07-11T23:30:54.913779Z", + "iopub.status.busy": "2024-07-11T23:30:54.913342Z", + "iopub.status.idle": "2024-07-11T23:30:54.927108Z", + "shell.execute_reply": "2024-07-11T23:30:54.926525Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:23.527208Z", - "iopub.status.busy": "2024-07-09T06:27:23.526603Z", - "iopub.status.idle": "2024-07-09T06:27:26.126394Z", - "shell.execute_reply": "2024-07-09T06:27:26.125810Z" + "iopub.execute_input": "2024-07-11T23:30:54.929300Z", + "iopub.status.busy": "2024-07-11T23:30:54.928956Z", + "iopub.status.idle": "2024-07-11T23:30:57.569640Z", + "shell.execute_reply": "2024-07-11T23:30:57.569023Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:26.128599Z", - "iopub.status.busy": "2024-07-09T06:27:26.128270Z", - "iopub.status.idle": "2024-07-09T06:27:27.468768Z", - "shell.execute_reply": "2024-07-09T06:27:27.468127Z" + "iopub.execute_input": "2024-07-11T23:30:57.571786Z", + "iopub.status.busy": "2024-07-11T23:30:57.571597Z", + "iopub.status.idle": "2024-07-11T23:30:58.927539Z", + "shell.execute_reply": "2024-07-11T23:30:58.926898Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:27.471344Z", - "iopub.status.busy": "2024-07-09T06:27:27.471010Z", - "iopub.status.idle": "2024-07-09T06:27:27.475004Z", - "shell.execute_reply": "2024-07-09T06:27:27.474434Z" + "iopub.execute_input": "2024-07-11T23:30:58.930226Z", + "iopub.status.busy": "2024-07-11T23:30:58.929895Z", + "iopub.status.idle": "2024-07-11T23:30:58.933999Z", + "shell.execute_reply": "2024-07-11T23:30:58.933407Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:27.477072Z", - "iopub.status.busy": "2024-07-09T06:27:27.476759Z", - "iopub.status.idle": "2024-07-09T06:27:29.490391Z", - "shell.execute_reply": "2024-07-09T06:27:29.489818Z" + "iopub.execute_input": "2024-07-11T23:30:58.936264Z", + "iopub.status.busy": "2024-07-11T23:30:58.935810Z", + "iopub.status.idle": "2024-07-11T23:31:01.051497Z", + "shell.execute_reply": "2024-07-11T23:31:01.050800Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:29.492995Z", - "iopub.status.busy": "2024-07-09T06:27:29.492468Z", - "iopub.status.idle": "2024-07-09T06:27:29.500292Z", - "shell.execute_reply": "2024-07-09T06:27:29.499734Z" + "iopub.execute_input": "2024-07-11T23:31:01.054451Z", + "iopub.status.busy": "2024-07-11T23:31:01.053799Z", + "iopub.status.idle": "2024-07-11T23:31:01.062436Z", + "shell.execute_reply": "2024-07-11T23:31:01.061749Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:29.502433Z", - "iopub.status.busy": "2024-07-09T06:27:29.502113Z", - "iopub.status.idle": "2024-07-09T06:27:32.049416Z", - "shell.execute_reply": "2024-07-09T06:27:32.048812Z" + "iopub.execute_input": "2024-07-11T23:31:01.064674Z", + "iopub.status.busy": "2024-07-11T23:31:01.064363Z", + "iopub.status.idle": "2024-07-11T23:31:03.653908Z", + "shell.execute_reply": "2024-07-11T23:31:03.653305Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.051592Z", - "iopub.status.busy": "2024-07-09T06:27:32.051401Z", - "iopub.status.idle": "2024-07-09T06:27:32.055077Z", - "shell.execute_reply": "2024-07-09T06:27:32.054480Z" + "iopub.execute_input": "2024-07-11T23:31:03.656129Z", + "iopub.status.busy": "2024-07-11T23:31:03.655803Z", + "iopub.status.idle": "2024-07-11T23:31:03.659489Z", + "shell.execute_reply": "2024-07-11T23:31:03.659017Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.057199Z", - "iopub.status.busy": "2024-07-09T06:27:32.056870Z", - "iopub.status.idle": "2024-07-09T06:27:32.060234Z", - "shell.execute_reply": "2024-07-09T06:27:32.059802Z" + "iopub.execute_input": "2024-07-11T23:31:03.661468Z", + "iopub.status.busy": "2024-07-11T23:31:03.661288Z", + "iopub.status.idle": "2024-07-11T23:31:03.664735Z", + "shell.execute_reply": "2024-07-11T23:31:03.664289Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:32.062198Z", - "iopub.status.busy": "2024-07-09T06:27:32.061876Z", - "iopub.status.idle": "2024-07-09T06:27:32.065020Z", - "shell.execute_reply": "2024-07-09T06:27:32.064573Z" + "iopub.execute_input": "2024-07-11T23:31:03.666866Z", + "iopub.status.busy": "2024-07-11T23:31:03.666465Z", + "iopub.status.idle": "2024-07-11T23:31:03.669568Z", + "shell.execute_reply": "2024-07-11T23:31:03.669121Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb index 949e5b545..5c31a3f55 100644 --- a/master/tutorials/object_detection.ipynb +++ b/master/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:34.654632Z", - "iopub.status.busy": "2024-07-09T06:27:34.654465Z", - "iopub.status.idle": "2024-07-09T06:27:35.815092Z", - "shell.execute_reply": "2024-07-09T06:27:35.814455Z" + "iopub.execute_input": "2024-07-11T23:31:06.312535Z", + "iopub.status.busy": "2024-07-11T23:31:06.312371Z", + "iopub.status.idle": "2024-07-11T23:31:07.505288Z", + "shell.execute_reply": "2024-07-11T23:31:07.504669Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:35.817596Z", - "iopub.status.busy": "2024-07-09T06:27:35.817178Z", - "iopub.status.idle": "2024-07-09T06:27:37.096670Z", - "shell.execute_reply": "2024-07-09T06:27:37.095921Z" + "iopub.execute_input": "2024-07-11T23:31:07.507848Z", + "iopub.status.busy": "2024-07-11T23:31:07.507594Z", + "iopub.status.idle": "2024-07-11T23:31:08.894177Z", + "shell.execute_reply": "2024-07-11T23:31:08.893325Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.099444Z", - "iopub.status.busy": "2024-07-09T06:27:37.099077Z", - "iopub.status.idle": "2024-07-09T06:27:37.102193Z", - "shell.execute_reply": "2024-07-09T06:27:37.101773Z" + "iopub.execute_input": "2024-07-11T23:31:08.896775Z", + "iopub.status.busy": "2024-07-11T23:31:08.896559Z", + "iopub.status.idle": "2024-07-11T23:31:08.900126Z", + "shell.execute_reply": "2024-07-11T23:31:08.899524Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.104293Z", - "iopub.status.busy": "2024-07-09T06:27:37.103979Z", - "iopub.status.idle": "2024-07-09T06:27:37.110147Z", - "shell.execute_reply": "2024-07-09T06:27:37.109740Z" + "iopub.execute_input": "2024-07-11T23:31:08.902112Z", + "iopub.status.busy": "2024-07-11T23:31:08.901832Z", + "iopub.status.idle": "2024-07-11T23:31:08.908384Z", + "shell.execute_reply": "2024-07-11T23:31:08.907838Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.112184Z", - "iopub.status.busy": "2024-07-09T06:27:37.111923Z", - "iopub.status.idle": "2024-07-09T06:27:37.598528Z", - "shell.execute_reply": "2024-07-09T06:27:37.597913Z" + "iopub.execute_input": "2024-07-11T23:31:08.910605Z", + "iopub.status.busy": "2024-07-11T23:31:08.910249Z", + "iopub.status.idle": "2024-07-11T23:31:09.411283Z", + "shell.execute_reply": "2024-07-11T23:31:09.410695Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.601014Z", - "iopub.status.busy": "2024-07-09T06:27:37.600572Z", - "iopub.status.idle": "2024-07-09T06:27:37.605747Z", - "shell.execute_reply": "2024-07-09T06:27:37.605308Z" + "iopub.execute_input": "2024-07-11T23:31:09.414368Z", + "iopub.status.busy": "2024-07-11T23:31:09.413981Z", + "iopub.status.idle": "2024-07-11T23:31:09.419788Z", + "shell.execute_reply": "2024-07-11T23:31:09.419317Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.607641Z", - "iopub.status.busy": "2024-07-09T06:27:37.607468Z", - "iopub.status.idle": "2024-07-09T06:27:37.611290Z", - "shell.execute_reply": "2024-07-09T06:27:37.610844Z" + "iopub.execute_input": "2024-07-11T23:31:09.421817Z", + "iopub.status.busy": "2024-07-11T23:31:09.421488Z", + "iopub.status.idle": "2024-07-11T23:31:09.425424Z", + "shell.execute_reply": "2024-07-11T23:31:09.424966Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:37.613342Z", - "iopub.status.busy": "2024-07-09T06:27:37.613034Z", - "iopub.status.idle": "2024-07-09T06:27:38.555539Z", - "shell.execute_reply": "2024-07-09T06:27:38.555016Z" + "iopub.execute_input": "2024-07-11T23:31:09.427593Z", + "iopub.status.busy": "2024-07-11T23:31:09.427260Z", + "iopub.status.idle": "2024-07-11T23:31:10.294541Z", + "shell.execute_reply": "2024-07-11T23:31:10.293893Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.557847Z", - "iopub.status.busy": "2024-07-09T06:27:38.557649Z", - "iopub.status.idle": "2024-07-09T06:27:38.851691Z", - "shell.execute_reply": "2024-07-09T06:27:38.851100Z" + "iopub.execute_input": "2024-07-11T23:31:10.296927Z", + "iopub.status.busy": "2024-07-11T23:31:10.296730Z", + "iopub.status.idle": "2024-07-11T23:31:10.506079Z", + "shell.execute_reply": "2024-07-11T23:31:10.505564Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.853964Z", - "iopub.status.busy": "2024-07-09T06:27:38.853618Z", - "iopub.status.idle": "2024-07-09T06:27:38.858060Z", - "shell.execute_reply": "2024-07-09T06:27:38.857615Z" + "iopub.execute_input": "2024-07-11T23:31:10.508127Z", + "iopub.status.busy": "2024-07-11T23:31:10.507934Z", + "iopub.status.idle": "2024-07-11T23:31:10.512343Z", + "shell.execute_reply": "2024-07-11T23:31:10.511877Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:38.860047Z", - "iopub.status.busy": "2024-07-09T06:27:38.859765Z", - "iopub.status.idle": "2024-07-09T06:27:39.310110Z", - "shell.execute_reply": "2024-07-09T06:27:39.309501Z" + "iopub.execute_input": "2024-07-11T23:31:10.514467Z", + "iopub.status.busy": "2024-07-11T23:31:10.514054Z", + "iopub.status.idle": "2024-07-11T23:31:10.975021Z", + "shell.execute_reply": "2024-07-11T23:31:10.974401Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:39.312865Z", - "iopub.status.busy": "2024-07-09T06:27:39.312462Z", - "iopub.status.idle": "2024-07-09T06:27:39.647092Z", - "shell.execute_reply": "2024-07-09T06:27:39.646475Z" + "iopub.execute_input": "2024-07-11T23:31:10.977943Z", + "iopub.status.busy": "2024-07-11T23:31:10.977756Z", + "iopub.status.idle": "2024-07-11T23:31:11.308934Z", + "shell.execute_reply": "2024-07-11T23:31:11.308366Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:39.649619Z", - "iopub.status.busy": "2024-07-09T06:27:39.649296Z", - "iopub.status.idle": "2024-07-09T06:27:40.011855Z", - "shell.execute_reply": "2024-07-09T06:27:40.011238Z" + "iopub.execute_input": "2024-07-11T23:31:11.311627Z", + "iopub.status.busy": "2024-07-11T23:31:11.311442Z", + "iopub.status.idle": "2024-07-11T23:31:11.651748Z", + "shell.execute_reply": "2024-07-11T23:31:11.651180Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.014685Z", - "iopub.status.busy": "2024-07-09T06:27:40.014328Z", - "iopub.status.idle": "2024-07-09T06:27:40.429827Z", - "shell.execute_reply": "2024-07-09T06:27:40.429292Z" + "iopub.execute_input": "2024-07-11T23:31:11.655199Z", + "iopub.status.busy": "2024-07-11T23:31:11.654833Z", + "iopub.status.idle": "2024-07-11T23:31:12.095624Z", + "shell.execute_reply": "2024-07-11T23:31:12.095061Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.434217Z", - "iopub.status.busy": "2024-07-09T06:27:40.433815Z", - "iopub.status.idle": "2024-07-09T06:27:40.880331Z", - "shell.execute_reply": "2024-07-09T06:27:40.879705Z" + "iopub.execute_input": "2024-07-11T23:31:12.100128Z", + "iopub.status.busy": "2024-07-11T23:31:12.099760Z", + "iopub.status.idle": "2024-07-11T23:31:12.553957Z", + "shell.execute_reply": "2024-07-11T23:31:12.553312Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:40.882426Z", - "iopub.status.busy": "2024-07-09T06:27:40.882229Z", - "iopub.status.idle": "2024-07-09T06:27:41.097056Z", - "shell.execute_reply": "2024-07-09T06:27:41.096510Z" + "iopub.execute_input": "2024-07-11T23:31:12.556857Z", + "iopub.status.busy": "2024-07-11T23:31:12.556678Z", + "iopub.status.idle": "2024-07-11T23:31:12.770401Z", + "shell.execute_reply": "2024-07-11T23:31:12.769832Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.099352Z", - "iopub.status.busy": "2024-07-09T06:27:41.098978Z", - "iopub.status.idle": "2024-07-09T06:27:41.279647Z", - "shell.execute_reply": "2024-07-09T06:27:41.279135Z" + "iopub.execute_input": "2024-07-11T23:31:12.772555Z", + "iopub.status.busy": "2024-07-11T23:31:12.772363Z", + "iopub.status.idle": "2024-07-11T23:31:12.952525Z", + "shell.execute_reply": "2024-07-11T23:31:12.951899Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.282138Z", - "iopub.status.busy": "2024-07-09T06:27:41.281802Z", - "iopub.status.idle": "2024-07-09T06:27:41.284795Z", - "shell.execute_reply": "2024-07-09T06:27:41.284347Z" + "iopub.execute_input": "2024-07-11T23:31:12.954790Z", + "iopub.status.busy": "2024-07-11T23:31:12.954455Z", + "iopub.status.idle": "2024-07-11T23:31:12.957485Z", + "shell.execute_reply": "2024-07-11T23:31:12.956926Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:41.286727Z", - "iopub.status.busy": "2024-07-09T06:27:41.286354Z", - "iopub.status.idle": "2024-07-09T06:27:42.233918Z", - "shell.execute_reply": "2024-07-09T06:27:42.233305Z" + "iopub.execute_input": "2024-07-11T23:31:12.959627Z", + "iopub.status.busy": "2024-07-11T23:31:12.959311Z", + "iopub.status.idle": "2024-07-11T23:31:14.006845Z", + "shell.execute_reply": "2024-07-11T23:31:14.006365Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.236357Z", - "iopub.status.busy": "2024-07-09T06:27:42.236129Z", - "iopub.status.idle": "2024-07-09T06:27:42.414922Z", - "shell.execute_reply": "2024-07-09T06:27:42.414319Z" + "iopub.execute_input": "2024-07-11T23:31:14.008900Z", + "iopub.status.busy": "2024-07-11T23:31:14.008713Z", + "iopub.status.idle": "2024-07-11T23:31:14.146793Z", + "shell.execute_reply": "2024-07-11T23:31:14.146295Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.417052Z", - "iopub.status.busy": "2024-07-09T06:27:42.416742Z", - "iopub.status.idle": "2024-07-09T06:27:42.567516Z", - "shell.execute_reply": "2024-07-09T06:27:42.566950Z" + "iopub.execute_input": "2024-07-11T23:31:14.148900Z", + "iopub.status.busy": "2024-07-11T23:31:14.148723Z", + "iopub.status.idle": "2024-07-11T23:31:14.290758Z", + "shell.execute_reply": "2024-07-11T23:31:14.290274Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:42.569723Z", - "iopub.status.busy": "2024-07-09T06:27:42.569386Z", - "iopub.status.idle": "2024-07-09T06:27:43.238504Z", - "shell.execute_reply": "2024-07-09T06:27:43.237885Z" + "iopub.execute_input": "2024-07-11T23:31:14.292854Z", + "iopub.status.busy": "2024-07-11T23:31:14.292679Z", + "iopub.status.idle": "2024-07-11T23:31:15.038674Z", + "shell.execute_reply": "2024-07-11T23:31:15.038182Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:43.240966Z", - "iopub.status.busy": "2024-07-09T06:27:43.240541Z", - "iopub.status.idle": "2024-07-09T06:27:43.244348Z", - "shell.execute_reply": "2024-07-09T06:27:43.243899Z" + "iopub.execute_input": "2024-07-11T23:31:15.040887Z", + "iopub.status.busy": "2024-07-11T23:31:15.040533Z", + "iopub.status.idle": "2024-07-11T23:31:15.044365Z", + "shell.execute_reply": "2024-07-11T23:31:15.043812Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/outliers.html b/master/tutorials/outliers.html index 7d4e1d2ac..2313a9559 100644 --- a/master/tutorials/outliers.html +++ b/master/tutorials/outliers.html @@ -780,7 +780,7 @@

2. Pre-process the Cifar10 dataset 
-100%|██████████| 170498071/170498071 [00:01<00:00, 99299872.36it/s]
+100%|██████████| 170498071/170498071 [00:01<00:00, 110818033.91it/s]

@@ -910,7 +910,7 @@

3. Use cleanlab and feature embeddings to find outliers in the data

-
+
@@ -1124,7 +1124,7 @@

4. Use cleanlab and here.

diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb index 5a34daff0..a03640684 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:45.444339Z", - "iopub.status.busy": "2024-07-09T06:27:45.443934Z", - "iopub.status.idle": "2024-07-09T06:27:48.220490Z", - "shell.execute_reply": "2024-07-09T06:27:48.219850Z" + "iopub.execute_input": "2024-07-11T23:31:17.291877Z", + "iopub.status.busy": "2024-07-11T23:31:17.291695Z", + "iopub.status.idle": "2024-07-11T23:31:20.167105Z", + "shell.execute_reply": "2024-07-11T23:31:20.166523Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.223134Z", - "iopub.status.busy": "2024-07-09T06:27:48.222782Z", - "iopub.status.idle": "2024-07-09T06:27:48.551328Z", - "shell.execute_reply": "2024-07-09T06:27:48.550787Z" + "iopub.execute_input": "2024-07-11T23:31:20.169867Z", + "iopub.status.busy": "2024-07-11T23:31:20.169350Z", + "iopub.status.idle": "2024-07-11T23:31:20.495262Z", + "shell.execute_reply": "2024-07-11T23:31:20.494703Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.553939Z", - "iopub.status.busy": "2024-07-09T06:27:48.553405Z", - "iopub.status.idle": "2024-07-09T06:27:48.557550Z", - "shell.execute_reply": "2024-07-09T06:27:48.557027Z" + "iopub.execute_input": "2024-07-11T23:31:20.497961Z", + "iopub.status.busy": "2024-07-11T23:31:20.497489Z", + "iopub.status.idle": "2024-07-11T23:31:20.501762Z", + "shell.execute_reply": "2024-07-11T23:31:20.501353Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:48.559562Z", - "iopub.status.busy": "2024-07-09T06:27:48.559266Z", - "iopub.status.idle": "2024-07-09T06:27:53.022684Z", - "shell.execute_reply": "2024-07-09T06:27:53.022093Z" + "iopub.execute_input": "2024-07-11T23:31:20.503814Z", + "iopub.status.busy": "2024-07-11T23:31:20.503635Z", + "iopub.status.idle": "2024-07-11T23:31:24.734562Z", + "shell.execute_reply": "2024-07-11T23:31:24.734040Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 884736/170498071 [00:00<00:20, 8089244.09it/s]" + " 1%|▏ | 2260992/170498071 [00:00<00:07, 22563462.22it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 10289152/170498071 [00:00<00:02, 56739816.87it/s]" + " 8%|▊ | 13991936/170498071 [00:00<00:02, 78087497.12it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 20709376/170498071 [00:00<00:01, 77845103.95it/s]" + " 15%|█▌ | 25722880/170498071 [00:00<00:01, 95869318.12it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 31522816/170498071 [00:00<00:01, 89510002.96it/s]" + " 22%|██▏ | 37453824/170498071 [00:00<00:01, 104208415.19it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 42237952/170498071 [00:00<00:01, 95784414.02it/s]" + " 29%|██▉ | 49119232/170498071 [00:00<00:01, 108625049.70it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 53182464/170498071 [00:00<00:01, 100337282.40it/s]" + " 36%|███▌ | 60686336/170498071 [00:00<00:00, 111010192.90it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 63504384/170498071 [00:00<00:01, 101255669.81it/s]" + " 42%|████▏ | 72417280/170498071 [00:00<00:00, 113042160.30it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 74022912/170498071 [00:00<00:00, 102422137.80it/s]" + " 49%|████▉ | 84148224/170498071 [00:00<00:00, 114381724.94it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 50%|████▉ | 84574208/170498071 [00:00<00:00, 103317034.01it/s]" + " 56%|█████▌ | 95846400/170498071 [00:00<00:00, 115176752.10it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 94928896/170498071 [00:01<00:00, 103108871.70it/s]" + " 63%|██████▎ | 107610112/170498071 [00:01<00:00, 115879216.59it/s]" ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 62%|██████▏ | 106004480/170498071 [00:01<00:00, 105346208.26it/s]" + " 70%|██████▉ | 119341056/170498071 [00:01<00:00, 116271034.09it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 68%|██████▊ | 116654080/170498071 [00:01<00:00, 105629779.29it/s]" + " 77%|███████▋ | 131072000/170498071 [00:01<00:00, 116543973.46it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 75%|███████▍ | 127434752/170498071 [00:01<00:00, 106225044.57it/s]" + " 84%|████████▍ | 142835712/170498071 [00:01<00:00, 116782185.73it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████ | 138084352/170498071 [00:01<00:00, 105442269.14it/s]" + " 91%|█████████ | 154566656/170498071 [00:01<00:00, 116899168.76it/s]" ] }, { @@ -364,7 +364,7 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████▋ | 148799488/170498071 [00:01<00:00, 105804424.70it/s]" + " 98%|█████████▊| 166297600/170498071 [00:01<00:00, 116976973.61it/s]" ] }, { @@ -372,23 +372,7 @@ "output_type": "stream", "text": [ "\r", - " 94%|█████████▎| 159744000/170498071 [00:01<00:00, 106833768.32it/s]" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|█████████▉| 170491904/170498071 [00:01<00:00, 107010972.25it/s]" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "100%|██████████| 170498071/170498071 [00:01<00:00, 99299872.36it/s] " + "100%|██████████| 170498071/170498071 [00:01<00:00, 110818033.91it/s]" ] }, { @@ -506,10 +490,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.024946Z", - "iopub.status.busy": "2024-07-09T06:27:53.024611Z", - "iopub.status.idle": "2024-07-09T06:27:53.029364Z", - "shell.execute_reply": "2024-07-09T06:27:53.028817Z" + "iopub.execute_input": "2024-07-11T23:31:24.736791Z", + "iopub.status.busy": "2024-07-11T23:31:24.736473Z", + "iopub.status.idle": "2024-07-11T23:31:24.741181Z", + "shell.execute_reply": "2024-07-11T23:31:24.740735Z" }, "nbsphinx": "hidden" }, @@ -560,10 +544,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.031408Z", - "iopub.status.busy": "2024-07-09T06:27:53.031096Z", - "iopub.status.idle": "2024-07-09T06:27:53.577241Z", - "shell.execute_reply": "2024-07-09T06:27:53.576593Z" + "iopub.execute_input": "2024-07-11T23:31:24.743449Z", + "iopub.status.busy": "2024-07-11T23:31:24.742931Z", + "iopub.status.idle": "2024-07-11T23:31:25.284399Z", + "shell.execute_reply": "2024-07-11T23:31:25.283756Z" } }, "outputs": [ @@ -596,10 +580,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:53.579601Z", - "iopub.status.busy": "2024-07-09T06:27:53.579322Z", - "iopub.status.idle": "2024-07-09T06:27:54.102985Z", - "shell.execute_reply": "2024-07-09T06:27:54.102360Z" + "iopub.execute_input": "2024-07-11T23:31:25.286696Z", + "iopub.status.busy": "2024-07-11T23:31:25.286313Z", + "iopub.status.idle": "2024-07-11T23:31:25.808458Z", + "shell.execute_reply": "2024-07-11T23:31:25.807874Z" } }, "outputs": [ @@ -637,10 +621,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:54.105484Z", - "iopub.status.busy": "2024-07-09T06:27:54.105073Z", - "iopub.status.idle": "2024-07-09T06:27:54.108602Z", - "shell.execute_reply": "2024-07-09T06:27:54.108156Z" + "iopub.execute_input": "2024-07-11T23:31:25.810731Z", + "iopub.status.busy": "2024-07-11T23:31:25.810369Z", + "iopub.status.idle": "2024-07-11T23:31:25.813893Z", + "shell.execute_reply": "2024-07-11T23:31:25.813436Z" } }, "outputs": [], @@ -663,17 +647,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:27:54.110579Z", - "iopub.status.busy": "2024-07-09T06:27:54.110395Z", - "iopub.status.idle": "2024-07-09T06:28:06.643708Z", - "shell.execute_reply": "2024-07-09T06:28:06.643176Z" + "iopub.execute_input": "2024-07-11T23:31:25.815970Z", + "iopub.status.busy": "2024-07-11T23:31:25.815628Z", + "iopub.status.idle": "2024-07-11T23:31:38.427676Z", + "shell.execute_reply": "2024-07-11T23:31:38.427081Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "17e3dce4b40a4cb8a2b240ec353e0eae", + "model_id": "e178963db0b140cebcc986e7a95dfca1", "version_major": 2, "version_minor": 0 }, @@ -732,10 +716,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:06.646239Z", - "iopub.status.busy": "2024-07-09T06:28:06.645832Z", - "iopub.status.idle": "2024-07-09T06:28:08.702608Z", - "shell.execute_reply": "2024-07-09T06:28:08.701924Z" + "iopub.execute_input": "2024-07-11T23:31:38.429964Z", + "iopub.status.busy": "2024-07-11T23:31:38.429776Z", + "iopub.status.idle": "2024-07-11T23:31:40.476211Z", + "shell.execute_reply": "2024-07-11T23:31:40.475587Z" } }, "outputs": [ @@ -779,10 +763,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:08.705102Z", - "iopub.status.busy": "2024-07-09T06:28:08.704635Z", - "iopub.status.idle": "2024-07-09T06:28:08.961907Z", - "shell.execute_reply": "2024-07-09T06:28:08.960875Z" + "iopub.execute_input": "2024-07-11T23:31:40.478752Z", + "iopub.status.busy": "2024-07-11T23:31:40.478522Z", + "iopub.status.idle": "2024-07-11T23:31:40.733860Z", + "shell.execute_reply": "2024-07-11T23:31:40.733234Z" } }, "outputs": [ @@ -818,10 +802,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:08.965548Z", - "iopub.status.busy": "2024-07-09T06:28:08.964610Z", - "iopub.status.idle": "2024-07-09T06:28:09.623328Z", - "shell.execute_reply": "2024-07-09T06:28:09.622779Z" + "iopub.execute_input": "2024-07-11T23:31:40.736521Z", + "iopub.status.busy": "2024-07-11T23:31:40.736095Z", + "iopub.status.idle": "2024-07-11T23:31:41.401207Z", + "shell.execute_reply": "2024-07-11T23:31:41.400662Z" } }, "outputs": [ @@ -871,10 +855,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:09.627057Z", - "iopub.status.busy": "2024-07-09T06:28:09.626207Z", - "iopub.status.idle": "2024-07-09T06:28:09.967511Z", - "shell.execute_reply": "2024-07-09T06:28:09.966954Z" + "iopub.execute_input": "2024-07-11T23:31:41.404101Z", + "iopub.status.busy": "2024-07-11T23:31:41.403501Z", + "iopub.status.idle": "2024-07-11T23:31:41.741361Z", + "shell.execute_reply": "2024-07-11T23:31:41.740846Z" } }, "outputs": [ @@ -922,10 +906,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:09.969885Z", - "iopub.status.busy": "2024-07-09T06:28:09.969463Z", - "iopub.status.idle": "2024-07-09T06:28:10.214869Z", - "shell.execute_reply": "2024-07-09T06:28:10.214223Z" + "iopub.execute_input": "2024-07-11T23:31:41.743489Z", + "iopub.status.busy": "2024-07-11T23:31:41.743295Z", + "iopub.status.idle": "2024-07-11T23:31:41.971390Z", + "shell.execute_reply": "2024-07-11T23:31:41.970787Z" } }, "outputs": [ @@ -981,10 +965,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:10.217596Z", - "iopub.status.busy": "2024-07-09T06:28:10.217139Z", - "iopub.status.idle": "2024-07-09T06:28:10.308655Z", - "shell.execute_reply": "2024-07-09T06:28:10.308107Z" + "iopub.execute_input": "2024-07-11T23:31:41.973865Z", + "iopub.status.busy": "2024-07-11T23:31:41.973521Z", + "iopub.status.idle": "2024-07-11T23:31:42.050609Z", + "shell.execute_reply": "2024-07-11T23:31:42.050111Z" } }, "outputs": [], @@ -1005,10 +989,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:10.310977Z", - "iopub.status.busy": "2024-07-09T06:28:10.310791Z", - "iopub.status.idle": "2024-07-09T06:28:20.594421Z", - "shell.execute_reply": "2024-07-09T06:28:20.593788Z" + "iopub.execute_input": "2024-07-11T23:31:42.053107Z", + "iopub.status.busy": "2024-07-11T23:31:42.052926Z", + "iopub.status.idle": "2024-07-11T23:31:52.419235Z", + "shell.execute_reply": "2024-07-11T23:31:52.418555Z" } }, "outputs": [ @@ -1045,10 +1029,10 @@ "id": "874c885a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:20.596810Z", - "iopub.status.busy": "2024-07-09T06:28:20.596554Z", - "iopub.status.idle": "2024-07-09T06:28:22.741544Z", - "shell.execute_reply": "2024-07-09T06:28:22.741042Z" + "iopub.execute_input": "2024-07-11T23:31:52.421797Z", + "iopub.status.busy": "2024-07-11T23:31:52.421373Z", + "iopub.status.idle": "2024-07-11T23:31:54.688468Z", + "shell.execute_reply": "2024-07-11T23:31:54.687905Z" } }, "outputs": [ @@ -1079,10 +1063,10 @@ "id": "e110fc4b", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:22.744305Z", - "iopub.status.busy": "2024-07-09T06:28:22.743745Z", - "iopub.status.idle": "2024-07-09T06:28:22.953993Z", - "shell.execute_reply": "2024-07-09T06:28:22.953376Z" + "iopub.execute_input": "2024-07-11T23:31:54.691137Z", + "iopub.status.busy": "2024-07-11T23:31:54.690628Z", + "iopub.status.idle": "2024-07-11T23:31:54.893218Z", + "shell.execute_reply": "2024-07-11T23:31:54.892555Z" } }, "outputs": [], @@ -1096,10 +1080,10 @@ "id": "85b60cbf", "metadata": { "execution": { - 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"_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_f839052ce8de441fa54a98bf191b0352", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_afec228371694b259b4beb453ed5662e", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ac2f6c5cef9d4fa193d7e2508a3b60aa", + "IPY_MODEL_4de70e8fec2444dea22f3f7943d23a4f", + "IPY_MODEL_24d49b137c8d43549f4f0bd82e7e5dbd" + ], + "layout": "IPY_MODEL_5239d07277434b87a8dbe5da68b57b75", "tabbable": null, - "tooltip": null, - "value": 102469840.0 + "tooltip": null + } + }, + "f02e8e68fc3946e495bf0e0139fc3eb8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f3a9a8cdcf8941b289c7a7a5e37c34ec": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } } }, diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index 9a21f3bf0..3292abadb 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:27.147640Z", - "iopub.status.busy": "2024-07-09T06:28:27.147460Z", - "iopub.status.idle": "2024-07-09T06:28:28.302447Z", - "shell.execute_reply": "2024-07-09T06:28:28.301888Z" + "iopub.execute_input": "2024-07-11T23:31:59.264178Z", + "iopub.status.busy": "2024-07-11T23:31:59.263998Z", + "iopub.status.idle": "2024-07-11T23:32:00.476568Z", + "shell.execute_reply": "2024-07-11T23:32:00.475998Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.304997Z", - "iopub.status.busy": "2024-07-09T06:28:28.304730Z", - "iopub.status.idle": "2024-07-09T06:28:28.321957Z", - "shell.execute_reply": "2024-07-09T06:28:28.321531Z" + "iopub.execute_input": "2024-07-11T23:32:00.479192Z", + "iopub.status.busy": "2024-07-11T23:32:00.478744Z", + "iopub.status.idle": "2024-07-11T23:32:00.496820Z", + "shell.execute_reply": "2024-07-11T23:32:00.496353Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.324137Z", - "iopub.status.busy": "2024-07-09T06:28:28.323717Z", - "iopub.status.idle": "2024-07-09T06:28:28.326748Z", - "shell.execute_reply": "2024-07-09T06:28:28.326302Z" + "iopub.execute_input": "2024-07-11T23:32:00.499201Z", + "iopub.status.busy": "2024-07-11T23:32:00.498752Z", + "iopub.status.idle": "2024-07-11T23:32:00.501927Z", + "shell.execute_reply": "2024-07-11T23:32:00.501454Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.328783Z", - "iopub.status.busy": "2024-07-09T06:28:28.328478Z", - "iopub.status.idle": "2024-07-09T06:28:28.398404Z", - "shell.execute_reply": "2024-07-09T06:28:28.397873Z" + "iopub.execute_input": "2024-07-11T23:32:00.504107Z", + "iopub.status.busy": "2024-07-11T23:32:00.503713Z", + "iopub.status.idle": "2024-07-11T23:32:00.598232Z", + "shell.execute_reply": "2024-07-11T23:32:00.597650Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.400685Z", - "iopub.status.busy": "2024-07-09T06:28:28.400280Z", - "iopub.status.idle": "2024-07-09T06:28:28.580610Z", - "shell.execute_reply": "2024-07-09T06:28:28.580004Z" + "iopub.execute_input": "2024-07-11T23:32:00.600456Z", + "iopub.status.busy": "2024-07-11T23:32:00.600139Z", + "iopub.status.idle": "2024-07-11T23:32:00.780908Z", + "shell.execute_reply": "2024-07-11T23:32:00.780266Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.583196Z", - "iopub.status.busy": "2024-07-09T06:28:28.582842Z", - "iopub.status.idle": "2024-07-09T06:28:28.825147Z", - "shell.execute_reply": "2024-07-09T06:28:28.824546Z" + "iopub.execute_input": "2024-07-11T23:32:00.783410Z", + "iopub.status.busy": "2024-07-11T23:32:00.783226Z", + "iopub.status.idle": "2024-07-11T23:32:00.997850Z", + "shell.execute_reply": "2024-07-11T23:32:00.997211Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.827512Z", - "iopub.status.busy": "2024-07-09T06:28:28.827171Z", - "iopub.status.idle": "2024-07-09T06:28:28.831561Z", - "shell.execute_reply": "2024-07-09T06:28:28.831115Z" + "iopub.execute_input": "2024-07-11T23:32:01.000308Z", + "iopub.status.busy": "2024-07-11T23:32:00.999922Z", + "iopub.status.idle": "2024-07-11T23:32:01.004657Z", + "shell.execute_reply": "2024-07-11T23:32:01.004188Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.833597Z", - "iopub.status.busy": "2024-07-09T06:28:28.833194Z", - "iopub.status.idle": "2024-07-09T06:28:28.839457Z", - "shell.execute_reply": "2024-07-09T06:28:28.838888Z" + "iopub.execute_input": "2024-07-11T23:32:01.006873Z", + "iopub.status.busy": "2024-07-11T23:32:01.006436Z", + "iopub.status.idle": "2024-07-11T23:32:01.012230Z", + "shell.execute_reply": "2024-07-11T23:32:01.011792Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.841676Z", - "iopub.status.busy": "2024-07-09T06:28:28.841286Z", - "iopub.status.idle": "2024-07-09T06:28:28.843833Z", - "shell.execute_reply": "2024-07-09T06:28:28.843413Z" + "iopub.execute_input": "2024-07-11T23:32:01.014340Z", + "iopub.status.busy": "2024-07-11T23:32:01.013970Z", + "iopub.status.idle": "2024-07-11T23:32:01.016728Z", + "shell.execute_reply": "2024-07-11T23:32:01.016248Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:28.845847Z", - "iopub.status.busy": "2024-07-09T06:28:28.845459Z", - "iopub.status.idle": "2024-07-09T06:28:37.416310Z", - "shell.execute_reply": "2024-07-09T06:28:37.415785Z" + "iopub.execute_input": "2024-07-11T23:32:01.018748Z", + "iopub.status.busy": "2024-07-11T23:32:01.018423Z", + "iopub.status.idle": "2024-07-11T23:32:10.134726Z", + "shell.execute_reply": "2024-07-11T23:32:10.134136Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:37.419117Z", - "iopub.status.busy": "2024-07-09T06:28:37.418506Z", - "iopub.status.idle": "2024-07-09T06:28:37.425880Z", - "shell.execute_reply": "2024-07-09T06:28:37.425420Z" + "iopub.execute_input": "2024-07-11T23:32:10.137831Z", + "iopub.status.busy": "2024-07-11T23:32:10.137187Z", + "iopub.status.idle": "2024-07-11T23:32:10.144868Z", + "shell.execute_reply": "2024-07-11T23:32:10.144299Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - 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3. Use cleanlab to find label issues

-
+
-
+
@@ -891,7 +891,7 @@

Classes which are commonly mislabeled overall

-
+
@@ -1140,7 +1140,7 @@

Get label quality scores

-
+

Beyond scoring the overall label quality of each image, the above method produces a (0 to 1) quality score for each pixel. We can apply a thresholding function to these scores in order to extract the same style True or False mask as find_label_issues().

@@ -1196,7 +1196,7 @@

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"_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_2a275f8d7fff42a78662b93bdf128c04", "IPY_MODEL_581af7bb921b4603bc3521d0c4926f9a", "IPY_MODEL_0044b9b331cd444eb439a799eba62326"], "layout": "IPY_MODEL_11b5ab5708304b01964b5005e9d49fa2", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/segmentation.ipynb b/master/tutorials/segmentation.ipynb index ae5ebc560..de6875959 100644 --- a/master/tutorials/segmentation.ipynb +++ b/master/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:46.574289Z", - "iopub.status.busy": "2024-07-09T06:28:46.574108Z", - "iopub.status.idle": "2024-07-09T06:28:48.491596Z", - "shell.execute_reply": "2024-07-09T06:28:48.490918Z" + "iopub.execute_input": "2024-07-11T23:32:19.906876Z", + "iopub.status.busy": "2024-07-11T23:32:19.906713Z", + "iopub.status.idle": "2024-07-11T23:32:22.252981Z", + "shell.execute_reply": "2024-07-11T23:32:22.252336Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:28:48.494276Z", - "iopub.status.busy": "2024-07-09T06:28:48.493843Z", - "iopub.status.idle": "2024-07-09T06:29:39.569009Z", - "shell.execute_reply": "2024-07-09T06:29:39.568435Z" + "iopub.execute_input": "2024-07-11T23:32:22.255955Z", + "iopub.status.busy": "2024-07-11T23:32:22.255551Z", + "iopub.status.idle": "2024-07-11T23:33:17.312408Z", + "shell.execute_reply": "2024-07-11T23:33:17.311778Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:39.571515Z", - "iopub.status.busy": "2024-07-09T06:29:39.571138Z", - "iopub.status.idle": "2024-07-09T06:29:40.663339Z", - "shell.execute_reply": "2024-07-09T06:29:40.662734Z" + "iopub.execute_input": "2024-07-11T23:33:17.314965Z", + "iopub.status.busy": "2024-07-11T23:33:17.314582Z", + "iopub.status.idle": "2024-07-11T23:33:18.467232Z", + "shell.execute_reply": "2024-07-11T23:33:18.466671Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.665937Z", - "iopub.status.busy": "2024-07-09T06:29:40.665611Z", - "iopub.status.idle": "2024-07-09T06:29:40.669025Z", - "shell.execute_reply": "2024-07-09T06:29:40.668588Z" + "iopub.execute_input": "2024-07-11T23:33:18.469889Z", + "iopub.status.busy": "2024-07-11T23:33:18.469482Z", + "iopub.status.idle": "2024-07-11T23:33:18.472673Z", + "shell.execute_reply": "2024-07-11T23:33:18.472250Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.671153Z", - "iopub.status.busy": "2024-07-09T06:29:40.670839Z", - "iopub.status.idle": "2024-07-09T06:29:40.674594Z", - "shell.execute_reply": "2024-07-09T06:29:40.674175Z" + "iopub.execute_input": "2024-07-11T23:33:18.474860Z", + "iopub.status.busy": "2024-07-11T23:33:18.474466Z", + "iopub.status.idle": "2024-07-11T23:33:18.478384Z", + "shell.execute_reply": "2024-07-11T23:33:18.477916Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.676662Z", - "iopub.status.busy": "2024-07-09T06:29:40.676404Z", - "iopub.status.idle": "2024-07-09T06:29:40.679978Z", - "shell.execute_reply": "2024-07-09T06:29:40.679552Z" + "iopub.execute_input": "2024-07-11T23:33:18.480501Z", + "iopub.status.busy": "2024-07-11T23:33:18.480162Z", + "iopub.status.idle": "2024-07-11T23:33:18.483793Z", + "shell.execute_reply": "2024-07-11T23:33:18.483337Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.681969Z", - "iopub.status.busy": "2024-07-09T06:29:40.681683Z", - "iopub.status.idle": "2024-07-09T06:29:40.684443Z", - "shell.execute_reply": "2024-07-09T06:29:40.684006Z" + "iopub.execute_input": "2024-07-11T23:33:18.485739Z", + "iopub.status.busy": "2024-07-11T23:33:18.485418Z", + "iopub.status.idle": "2024-07-11T23:33:18.488095Z", + "shell.execute_reply": "2024-07-11T23:33:18.487656Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:29:40.686418Z", - 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"iopub.status.idle": "2024-07-09T06:30:14.218934Z", - "shell.execute_reply": "2024-07-09T06:30:14.218385Z" + "iopub.execute_input": "2024-07-11T23:33:56.178473Z", + "iopub.status.busy": "2024-07-11T23:33:56.178219Z", + "iopub.status.idle": "2024-07-11T23:33:56.861174Z", + "shell.execute_reply": "2024-07-11T23:33:56.860565Z" } }, "outputs": [ @@ -446,10 +446,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:14.221301Z", - "iopub.status.busy": "2024-07-09T06:30:14.220857Z", - "iopub.status.idle": "2024-07-09T06:30:17.059729Z", - "shell.execute_reply": "2024-07-09T06:30:17.059140Z" + "iopub.execute_input": "2024-07-11T23:33:56.863706Z", + "iopub.status.busy": "2024-07-11T23:33:56.863259Z", + "iopub.status.idle": "2024-07-11T23:33:59.837303Z", + "shell.execute_reply": "2024-07-11T23:33:59.836696Z" } }, "outputs": [ @@ -519,17 +519,17 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:30:17.061913Z", - 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"layout": "IPY_MODEL_279d7517839d43c89b15e2c5c84c7be9", + "layout": "IPY_MODEL_2ba0dfdc96fe4a5ca755b26d8afb58ef", "tabbable": null, "tooltip": null } diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html index 703cfe1a3..30ee5fd20 100644 --- a/master/tutorials/token_classification.html +++ b/master/tutorials/token_classification.html @@ -710,16 +710,16 @@

1. Install required dependencies and download data 
---2024-07-09 06:31:16--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::1029:1
+--2024-07-11 23:35:01--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::871:1
 Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
 
-conll2003.zip       100%[===================>] 959.94K  5.22MB/s    in 0.2s
+conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.01s
 
-2024-07-09 06:31:17 (5.22 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2024-07-11 23:35:01 (73.9 MB/s) - ‘conll2003.zip’ saved [982975/982975]
 
 mkdir: cannot create directory ‘data’: File exists
 Archive:  conll2003.zip
@@ -727,16 +727,16 @@ 
1. Install required dependencies and download data

diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb index f95fb9e96..c35a52f3d 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:16.799869Z", - "iopub.status.busy": "2024-07-09T06:31:16.799691Z", - "iopub.status.idle": "2024-07-09T06:31:17.988936Z", - "shell.execute_reply": "2024-07-09T06:31:17.988319Z" + "iopub.execute_input": "2024-07-11T23:35:01.258463Z", + "iopub.status.busy": "2024-07-11T23:35:01.258298Z", + "iopub.status.idle": "2024-07-11T23:35:02.186338Z", + "shell.execute_reply": "2024-07-11T23:35:02.185630Z" } }, "outputs": [ @@ -86,31 +86,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-07-09 06:31:16-- https://data.deepai.org/conll2003.zip\r\n", - "Resolving data.deepai.org (data.deepai.org)... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "169.150.236.97, 2400:52e0:1a00::1029:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n", - "HTTP request sent, awaiting response... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "200 OK\r\n", + "--2024-07-11 23:35:01-- https://data.deepai.org/conll2003.zip\r\n", + "Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::871:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -123,9 +102,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.22MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.01s \r\n", "\r\n", - "2024-07-09 06:31:17 (5.22 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-07-11 23:35:01 (73.9 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -145,9 +124,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-07-09 06:31:17-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.171.25, 54.231.130.41, 52.216.52.217, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.171.25|:443... connected.\r\n", + "--2024-07-11 23:35:01-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.65, 52.217.235.193, 3.5.1.160, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.65|:443... connected.\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "HTTP request sent, awaiting response... " ] }, @@ -168,9 +153,17 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.09s \r\n", + "pred_probs.npz 72%[=============> ] 11.85M 59.2MB/s " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\r", + "pred_probs.npz 100%[===================>] 16.26M 70.5MB/s in 0.2s \r\n", "\r\n", - "2024-07-09 06:31:17 (179 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-07-11 23:35:02 (70.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -187,10 +180,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:17.991436Z", - "iopub.status.busy": "2024-07-09T06:31:17.991070Z", - "iopub.status.idle": "2024-07-09T06:31:19.289852Z", - "shell.execute_reply": "2024-07-09T06:31:19.289351Z" + "iopub.execute_input": "2024-07-11T23:35:02.189111Z", + "iopub.status.busy": "2024-07-11T23:35:02.188690Z", + "iopub.status.idle": "2024-07-11T23:35:03.496983Z", + "shell.execute_reply": "2024-07-11T23:35:03.496414Z" }, "nbsphinx": "hidden" }, @@ -201,7 +194,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -227,10 +220,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.292366Z", - "iopub.status.busy": "2024-07-09T06:31:19.291931Z", - "iopub.status.idle": "2024-07-09T06:31:19.295209Z", - "shell.execute_reply": "2024-07-09T06:31:19.294745Z" + "iopub.execute_input": "2024-07-11T23:35:03.499628Z", + "iopub.status.busy": "2024-07-11T23:35:03.499335Z", + "iopub.status.idle": "2024-07-11T23:35:03.502749Z", + "shell.execute_reply": "2024-07-11T23:35:03.502297Z" } }, "outputs": [], @@ -280,10 +273,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.297359Z", - "iopub.status.busy": "2024-07-09T06:31:19.297049Z", - "iopub.status.idle": "2024-07-09T06:31:19.300013Z", - "shell.execute_reply": "2024-07-09T06:31:19.299557Z" + "iopub.execute_input": "2024-07-11T23:35:03.504801Z", + "iopub.status.busy": "2024-07-11T23:35:03.504477Z", + "iopub.status.idle": "2024-07-11T23:35:03.507452Z", + "shell.execute_reply": "2024-07-11T23:35:03.506988Z" }, "nbsphinx": "hidden" }, @@ -301,10 +294,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:19.302022Z", - "iopub.status.busy": "2024-07-09T06:31:19.301697Z", - "iopub.status.idle": "2024-07-09T06:31:28.335757Z", - "shell.execute_reply": "2024-07-09T06:31:28.335203Z" + "iopub.execute_input": "2024-07-11T23:35:03.509461Z", + "iopub.status.busy": "2024-07-11T23:35:03.509119Z", + "iopub.status.idle": "2024-07-11T23:35:12.662798Z", + "shell.execute_reply": "2024-07-11T23:35:12.662214Z" } }, "outputs": [], @@ -378,10 +371,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.338200Z", - "iopub.status.busy": "2024-07-09T06:31:28.337845Z", - "iopub.status.idle": "2024-07-09T06:31:28.343280Z", - "shell.execute_reply": "2024-07-09T06:31:28.342837Z" + "iopub.execute_input": "2024-07-11T23:35:12.665425Z", + "iopub.status.busy": "2024-07-11T23:35:12.665028Z", + "iopub.status.idle": "2024-07-11T23:35:12.670584Z", + "shell.execute_reply": "2024-07-11T23:35:12.670111Z" }, "nbsphinx": "hidden" }, @@ -421,10 +414,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.345254Z", - "iopub.status.busy": "2024-07-09T06:31:28.344923Z", - "iopub.status.idle": "2024-07-09T06:31:28.685882Z", - "shell.execute_reply": "2024-07-09T06:31:28.685329Z" + "iopub.execute_input": "2024-07-11T23:35:12.672749Z", + "iopub.status.busy": "2024-07-11T23:35:12.672341Z", + "iopub.status.idle": "2024-07-11T23:35:13.029090Z", + "shell.execute_reply": "2024-07-11T23:35:13.028516Z" } }, "outputs": [], @@ -461,10 +454,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.688450Z", - "iopub.status.busy": "2024-07-09T06:31:28.688108Z", - "iopub.status.idle": "2024-07-09T06:31:28.692422Z", - "shell.execute_reply": "2024-07-09T06:31:28.691913Z" + "iopub.execute_input": "2024-07-11T23:35:13.031558Z", + "iopub.status.busy": "2024-07-11T23:35:13.031368Z", + "iopub.status.idle": "2024-07-11T23:35:13.035967Z", + "shell.execute_reply": "2024-07-11T23:35:13.035483Z" } }, "outputs": [ @@ -536,10 +529,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:28.694566Z", - "iopub.status.busy": "2024-07-09T06:31:28.694154Z", - "iopub.status.idle": "2024-07-09T06:31:31.218610Z", - "shell.execute_reply": "2024-07-09T06:31:31.217915Z" + "iopub.execute_input": "2024-07-11T23:35:13.037865Z", + "iopub.status.busy": "2024-07-11T23:35:13.037691Z", + "iopub.status.idle": "2024-07-11T23:35:15.710595Z", + "shell.execute_reply": "2024-07-11T23:35:15.709845Z" } }, "outputs": [], @@ -561,10 +554,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.221635Z", - "iopub.status.busy": "2024-07-09T06:31:31.220890Z", - "iopub.status.idle": "2024-07-09T06:31:31.224904Z", - "shell.execute_reply": "2024-07-09T06:31:31.224377Z" + "iopub.execute_input": "2024-07-11T23:35:15.713638Z", + "iopub.status.busy": "2024-07-11T23:35:15.713039Z", + "iopub.status.idle": "2024-07-11T23:35:15.717454Z", + "shell.execute_reply": "2024-07-11T23:35:15.716971Z" } }, "outputs": [ @@ -600,10 +593,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.226850Z", - "iopub.status.busy": "2024-07-09T06:31:31.226675Z", - "iopub.status.idle": "2024-07-09T06:31:31.232224Z", - "shell.execute_reply": "2024-07-09T06:31:31.231711Z" + "iopub.execute_input": "2024-07-11T23:35:15.719371Z", + "iopub.status.busy": "2024-07-11T23:35:15.719198Z", + "iopub.status.idle": "2024-07-11T23:35:15.725101Z", + "shell.execute_reply": "2024-07-11T23:35:15.724613Z" } }, "outputs": [ @@ -781,10 +774,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.234195Z", - "iopub.status.busy": "2024-07-09T06:31:31.233868Z", - "iopub.status.idle": "2024-07-09T06:31:31.260501Z", - "shell.execute_reply": "2024-07-09T06:31:31.260037Z" + "iopub.execute_input": "2024-07-11T23:35:15.727225Z", + "iopub.status.busy": "2024-07-11T23:35:15.726814Z", + "iopub.status.idle": "2024-07-11T23:35:15.754333Z", + "shell.execute_reply": "2024-07-11T23:35:15.753814Z" } }, "outputs": [ @@ -886,10 +879,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.262698Z", - "iopub.status.busy": "2024-07-09T06:31:31.262368Z", - "iopub.status.idle": "2024-07-09T06:31:31.266471Z", - "shell.execute_reply": "2024-07-09T06:31:31.265953Z" + "iopub.execute_input": "2024-07-11T23:35:15.756419Z", + "iopub.status.busy": "2024-07-11T23:35:15.756236Z", + "iopub.status.idle": "2024-07-11T23:35:15.760750Z", + "shell.execute_reply": "2024-07-11T23:35:15.760207Z" } }, "outputs": [ @@ -963,10 +956,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:31.268473Z", - "iopub.status.busy": "2024-07-09T06:31:31.268157Z", - "iopub.status.idle": "2024-07-09T06:31:32.664554Z", - "shell.execute_reply": "2024-07-09T06:31:32.664039Z" + "iopub.execute_input": "2024-07-11T23:35:15.762649Z", + "iopub.status.busy": "2024-07-11T23:35:15.762472Z", + "iopub.status.idle": "2024-07-11T23:35:17.199732Z", + "shell.execute_reply": "2024-07-11T23:35:17.199171Z" } }, "outputs": [ @@ -1138,10 +1131,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:31:32.666738Z", - "iopub.status.busy": "2024-07-09T06:31:32.666392Z", - "iopub.status.idle": "2024-07-09T06:31:32.670504Z", - "shell.execute_reply": "2024-07-09T06:31:32.670046Z" + "iopub.execute_input": "2024-07-11T23:35:17.201976Z", + "iopub.status.busy": "2024-07-11T23:35:17.201566Z", + "iopub.status.idle": "2024-07-11T23:35:17.205791Z", + "shell.execute_reply": "2024-07-11T23:35:17.205192Z" }, "nbsphinx": "hidden" }, diff --git a/versioning.js b/versioning.js index 3e028ec24..8e99970d8 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.6.6", - commit_hash: "e4be990d65e77f5fed23f796725f09cd114a37d7", + commit_hash: "a8cb2839f0be3d312ddab7c799760a9c4939025f", }; \ No newline at end of file

Here each image can have multiple objects, each with its own bounding box and class label. """ from multiprocessing import Pool -from typing import Optional, Any, Dict, Tuple, Union, List, TYPE_CHECKING, TypeVar, DefaultDict +from typing import ( + Optional, + Any, + Dict, + Tuple, + Union, + List, + TYPE_CHECKING, + TypeVar, + DefaultDict, + cast, +) import numpy as np import collections @@ -1007,6 +1018,7 @@

Source code for cleanlab.object_detection.summary

""" try: import matplotlib.pyplot as plt + from matplotlib.axes import Axes except ImportError as e: raise ImportError( "This functionality requires matplotlib. Install it via: `pip install matplotlib`" @@ -1044,6 +1056,7 @@

Source code for cleanlab.object_detection.summary

else: figsize = (14, 10) if figsize is None else figsize fig, axes = plt.subplots(nrows=1, ncols=2, frameon=False, figsize=figsize) + axes = cast(Tuple[Axes, Axes], axes) axes[0].axis("off") axes[0].imshow(image) axes[1].axis("off") diff --git a/master/_modules/cleanlab/segmentation/summary.html b/master/_modules/cleanlab/segmentation/summary.html index 23b346b23..474bb02a1 100644 --- a/master/_modules/cleanlab/segmentation/summary.html +++ b/master/_modules/cleanlab/segmentation/summary.html @@ -632,12 +632,13 @@

Source code for cleanlab.segmentation.summary

Methods to display images and their label issues in a semantic segmentation dataset, as well as summarize the overall types of issues identified. """ -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, cast import numpy as np import pandas as pd from tqdm.auto import tqdm + from cleanlab.internal.segmentation_utils import _get_summary_optional_params @@ -716,6 +717,7 @@

Source code for cleanlab.segmentation.summary

try: import matplotlib.pyplot as plt import matplotlib.patches as mpatches + from matplotlib.axes import Axes from matplotlib.colors import ListedColormap except ImportError: raise ImportError('try "pip install matplotlib"') @@ -749,32 +751,36 @@

Source code for cleanlab.segmentation.summary

for i in correct_ordering: # Show images - fig, axes = plt.subplots(1, output_plots, figsize=(5 * output_plots, 5)) + _, axes = plt.subplots(1, output_plots, figsize=(5 * output_plots, 5)) plot_index = 0 + # Handle the different possible types of axes + if output_plots == 1: + axes_list = [cast(Axes, axes)] + else: + axes_list = cast(List[Axes], axes) if isinstance(axes, np.ndarray) else [axes] + # First image - Given truth labels - if labels is not None: - axes[plot_index].imshow(cmap[labels[i]]) - axes[plot_index].set_title("Given Labels") + if labels is not None and plot_index < len(axes_list): + axes_list[plot_index].imshow(cmap[labels[i]]) + axes_list[plot_index].set_title("Given Labels") plot_index += 1 # Second image - Argmaxed pred_probs - if pred_probs is not None: - axes[plot_index].imshow(cmap[np.argmax(pred_probs[i], axis=0)]) - axes[plot_index].set_title("Argmaxed Prediction Probabilities") + if pred_probs is not None and plot_index < len(axes_list): + axes_list[plot_index].imshow(cmap[np.argmax(pred_probs[i], axis=0)]) + axes_list[plot_index].set_title("Argmaxed Prediction Probabilities") plot_index += 1 # Third image - Errors - if output_plots == 1: - ax = axes - else: - ax = axes[plot_index] + if plot_index < len(axes_list): + ax = axes_list[plot_index] + mask = np.full((h, w), True) + if labels is not None and len(exclude) != 0: + mask = ~np.isin(labels[i], exclude) + ax.imshow(issues[i] & mask, cmap=error_cmap, vmin=0, vmax=1) + ax.set_title(f"Image {i}: Suggested Errors (in Red)") - mask = np.full((h, w), True) - if labels is not None and len(exclude) != 0: - mask = ~np.isin(labels[i], exclude) - ax.imshow(issues[i] & mask, cmap=error_cmap, vmin=0, vmax=1) - ax.set_title(f"Image {i}: Suggested Errors (in Red)") plt.show(**kwargs) return None
diff --git a/master/_sources/tutorials/clean_learning/tabular.ipynb b/master/_sources/tutorials/clean_learning/tabular.ipynb index 15c5dbe31..047e03106 100644 --- a/master/_sources/tutorials/clean_learning/tabular.ipynb +++ b/master/_sources/tutorials/clean_learning/tabular.ipynb @@ -120,7 +120,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/clean_learning/text.ipynb b/master/_sources/tutorials/clean_learning/text.ipynb index 6537a391b..4f25d0c44 100644 --- a/master/_sources/tutorials/clean_learning/text.ipynb +++ b/master/_sources/tutorials/clean_learning/text.ipynb @@ -129,7 +129,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/audio.ipynb b/master/_sources/tutorials/datalab/audio.ipynb index 9d8c490e7..16446921f 100644 --- a/master/_sources/tutorials/datalab/audio.ipynb +++ b/master/_sources/tutorials/datalab/audio.ipynb @@ -91,7 +91,7 @@ "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\" \n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_advanced.ipynb b/master/_sources/tutorials/datalab/datalab_advanced.ipynb index 353b90c7f..aa6073b49 100644 --- a/master/_sources/tutorials/datalab/datalab_advanced.ipynb +++ b/master/_sources/tutorials/datalab/datalab_advanced.ipynb @@ -87,7 +87,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb index b6aa5b6be..730413e99 100644 --- a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/tabular.ipynb b/master/_sources/tutorials/datalab/tabular.ipynb index 6c92a4647..637fd89ce 100644 --- a/master/_sources/tutorials/datalab/tabular.ipynb +++ b/master/_sources/tutorials/datalab/tabular.ipynb @@ -80,7 +80,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/text.ipynb b/master/_sources/tutorials/datalab/text.ipynb index a8ff70845..8d374e248 100644 --- a/master/_sources/tutorials/datalab/text.ipynb +++ b/master/_sources/tutorials/datalab/text.ipynb @@ -90,7 +90,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/dataset_health.ipynb b/master/_sources/tutorials/dataset_health.ipynb index cb9b315db..5c4805ee6 100644 --- a/master/_sources/tutorials/dataset_health.ipynb +++ b/master/_sources/tutorials/dataset_health.ipynb @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/improving_ml_performance.ipynb b/master/_sources/tutorials/improving_ml_performance.ipynb index dcadf17c5..363ca8eff 100644 --- a/master/_sources/tutorials/improving_ml_performance.ipynb +++ b/master/_sources/tutorials/improving_ml_performance.ipynb @@ -69,7 +69,7 @@ "dependencies = [\"cleanlab\", \"xgboost\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/indepth_overview.ipynb b/master/_sources/tutorials/indepth_overview.ipynb index 519a9fac7..dcd1c15d2 100644 --- a/master/_sources/tutorials/indepth_overview.ipynb +++ b/master/_sources/tutorials/indepth_overview.ipynb @@ -62,7 +62,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multiannotator.ipynb b/master/_sources/tutorials/multiannotator.ipynb index 7f887265c..346cdb511 100644 --- a/master/_sources/tutorials/multiannotator.ipynb +++ b/master/_sources/tutorials/multiannotator.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multilabel_classification.ipynb b/master/_sources/tutorials/multilabel_classification.ipynb index 411006923..ab7c8953e 100644 --- a/master/_sources/tutorials/multilabel_classification.ipynb +++ b/master/_sources/tutorials/multilabel_classification.ipynb @@ -73,7 +73,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/object_detection.ipynb b/master/_sources/tutorials/object_detection.ipynb index f29a7bca5..bae4a6669 100644 --- a/master/_sources/tutorials/object_detection.ipynb +++ b/master/_sources/tutorials/object_detection.ipynb @@ -77,7 +77,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/outliers.ipynb b/master/_sources/tutorials/outliers.ipynb index 8bc9378d4..0b9916bd0 100644 --- a/master/_sources/tutorials/outliers.ipynb +++ b/master/_sources/tutorials/outliers.ipynb @@ -119,7 +119,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/regression.ipynb b/master/_sources/tutorials/regression.ipynb index 0b1327d70..13b61ae15 100644 --- a/master/_sources/tutorials/regression.ipynb +++ b/master/_sources/tutorials/regression.ipynb @@ -110,7 +110,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/segmentation.ipynb b/master/_sources/tutorials/segmentation.ipynb index ec451ac65..5def9a684 100644 --- a/master/_sources/tutorials/segmentation.ipynb +++ b/master/_sources/tutorials/segmentation.ipynb @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/token_classification.ipynb b/master/_sources/tutorials/token_classification.ipynb index ac75f390c..fde14bf7a 100644 --- a/master/_sources/tutorials/token_classification.ipynb +++ b/master/_sources/tutorials/token_classification.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/searchindex.js b/master/searchindex.js index a51677165..de7fe169e 100644 --- a/master/searchindex.js +++ b/master/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["cleanlab/benchmarking/index", "cleanlab/benchmarking/noise_generation", "cleanlab/classification", "cleanlab/count", "cleanlab/data_valuation", "cleanlab/datalab/datalab", "cleanlab/datalab/guide/_templates/issue_types_tip", "cleanlab/datalab/guide/custom_issue_manager", "cleanlab/datalab/guide/generating_cluster_ids", "cleanlab/datalab/guide/index", "cleanlab/datalab/guide/issue_type_description", "cleanlab/datalab/guide/table", "cleanlab/datalab/index", "cleanlab/datalab/internal/data", 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"module-cleanlab.object_detection.rank"], [71, "module-cleanlab.rank"], [77, "module-cleanlab.segmentation.rank"], [81, "module-cleanlab.token_classification.rank"]], "object_detection": [[67, "object-detection"]], "summary": [[69, "summary"], [78, "module-cleanlab.segmentation.summary"], [82, "module-cleanlab.token_classification.summary"]], "regression.learn": [[73, "module-cleanlab.regression.learn"]], "regression.rank": [[74, "module-cleanlab.regression.rank"]], "segmentation": [[76, "segmentation"]], "token_classification": [[80, "token-classification"]], "cleanlab open-source documentation": [[83, "cleanlab-open-source-documentation"]], "Quickstart": [[83, "quickstart"]], "1. Install cleanlab": [[83, "install-cleanlab"]], "2. Find common issues in your data": [[83, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[83, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[83, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[83, "improve-your-data-via-many-other-techniques"]], "Contributing": [[83, "contributing"]], "Easy Mode": [[83, "easy-mode"], [91, "Easy-Mode"], [93, "Easy-Mode"], [94, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[84, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[84, "function-and-class-name-changes"]], "Module name changes": [[84, "module-name-changes"]], "New modules": [[84, "new-modules"]], "Removed modules": [[84, "removed-modules"]], "Common argument and variable name changes": [[84, "common-argument-and-variable-name-changes"]], "CleanLearning Tutorials": [[85, "cleanlearning-tutorials"]], "Classification with Structured/Tabular Data and Noisy Labels": [[86, "Classification-with-Structured/Tabular-Data-and-Noisy-Labels"]], "1. Install required dependencies": [[86, "1.-Install-required-dependencies"], [87, "1.-Install-required-dependencies"], [93, "1.-Install-required-dependencies"], [94, "1.-Install-required-dependencies"], [106, "1.-Install-required-dependencies"]], "2. Load and process the data": [[86, "2.-Load-and-process-the-data"], [93, "2.-Load-and-process-the-data"], [106, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[86, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [93, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[86, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[86, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[87, "Text-Classification-with-Noisy-Labels"]], "2. Load and format the text dataset": [[87, "2.-Load-and-format-the-text-dataset"], [94, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and use cleanlab to find potential label errors": [[87, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[87, "4.-Train-a-more-robust-model-from-noisy-labels"], [106, "4.-Train-a-more-robust-model-from-noisy-labels"]], "Detecting Issues in an Audio Dataset with Datalab": [[88, "Detecting-Issues-in-an-Audio-Dataset-with-Datalab"]], "1. Install dependencies and import them": [[88, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[88, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[88, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[88, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[88, "5.-Use-cleanlab-to-find-label-issues"], [93, "5.-Use-cleanlab-to-find-label-issues"]], "Datalab: Advanced workflows to audit your data": [[89, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[89, "Install-and-import-required-dependencies"]], "Create and load the data": [[89, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[89, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[89, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[89, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[89, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[89, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[89, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[90, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "1. Install and import required dependencies": [[90, "1.-Install-and-import-required-dependencies"], [91, "1.-Install-and-import-required-dependencies"], [101, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[90, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[90, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[90, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Learn more about the issues in your dataset": [[90, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[90, "Get-additional-information"]], "Near duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in an Image Dataset with Datalab": [[91, "Detecting-Issues-in-an-Image-Dataset-with-Datalab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[91, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[91, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[91, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[91, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[91, "7.-Use-cleanlab-to-find-issues"]], "View report": [[91, "View-report"]], "Label issues": [[91, "Label-issues"], [93, "Label-issues"], [94, "Label-issues"]], "View most likely examples with label errors": [[91, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[91, "Outlier-issues"], [93, "Outlier-issues"], [94, "Outlier-issues"]], "View most severe outliers": [[91, "View-most-severe-outliers"]], "View sets of near duplicate images": [[91, "View-sets-of-near-duplicate-images"]], "Dark images": [[91, "Dark-images"]], "View top examples of dark images": [[91, "View-top-examples-of-dark-images"]], "Low information images": [[91, "Low-information-images"]], "Datalab Tutorials": [[92, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[93, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[93, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[93, "Near-duplicate-issues"], [94, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[94, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[94, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[94, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[94, "Non-IID-issues-(data-drift)"]], "Miscellaneous workflows with Datalab": [[95, "Miscellaneous-workflows-with-Datalab"]], "Accelerate Issue Checks with Pre-computed kNN Graphs": [[95, "Accelerate-Issue-Checks-with-Pre-computed-kNN-Graphs"]], "1. Load and Prepare Your Dataset": [[95, "1.-Load-and-Prepare-Your-Dataset"]], "2. Compute kNN Graph": [[95, "2.-Compute-kNN-Graph"]], "3. Train a Classifier and Obtain Predicted Probabilities": [[95, "3.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"]], "4. Identify Data Issues Using Datalab": [[95, "4.-Identify-Data-Issues-Using-Datalab"]], "Explanation:": [[95, "Explanation:"]], "Data Valuation": [[95, "Data-Valuation"]], "1. Load and Prepare the Dataset": [[95, "1.-Load-and-Prepare-the-Dataset"], [95, "id2"], [95, "id5"]], "2. Vectorize the Text Data": [[95, "2.-Vectorize-the-Text-Data"]], "3. Perform Data Valuation with Datalab": [[95, "3.-Perform-Data-Valuation-with-Datalab"]], "4. (Optional) Visualize Data Valuation Scores": [[95, "4.-(Optional)-Visualize-Data-Valuation-Scores"]], "Find Underperforming Groups in a Dataset": [[95, "Find-Underperforming-Groups-in-a-Dataset"]], "1. Generate a Synthetic Dataset": [[95, "1.-Generate-a-Synthetic-Dataset"]], "2. Train a Classifier and Obtain Predicted Probabilities": [[95, "2.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"], [95, "id3"]], "3. (Optional) Cluster the Data": [[95, "3.-(Optional)-Cluster-the-Data"]], "4. Identify Underperforming Groups with Datalab": [[95, "4.-Identify-Underperforming-Groups-with-Datalab"], [95, "id4"]], "5. (Optional) Visualize the Results": [[95, "5.-(Optional)-Visualize-the-Results"]], "Predefining Data Slices for Detecting Underperforming Groups": [[95, "Predefining-Data-Slices-for-Detecting-Underperforming-Groups"]], "3. Define a Data Slice": [[95, "3.-Define-a-Data-Slice"]], "Detect if your dataset is non-IID": [[95, "Detect-if-your-dataset-is-non-IID"]], "2. Detect Non-IID Issues Using Datalab": [[95, "2.-Detect-Non-IID-Issues-Using-Datalab"]], "3. (Optional) Visualize the Results": [[95, "3.-(Optional)-Visualize-the-Results"]], "Catch Null Values in a Dataset": [[95, "Catch-Null-Values-in-a-Dataset"]], "1. Load the Dataset": [[95, "1.-Load-the-Dataset"], [95, "id8"]], "2: Encode Categorical Values": [[95, "2:-Encode-Categorical-Values"]], "3. Initialize Datalab": [[95, "3.-Initialize-Datalab"]], "4. Detect Null Values": [[95, "4.-Detect-Null-Values"]], "5. Sort the Dataset by Null Issues": [[95, "5.-Sort-the-Dataset-by-Null-Issues"]], "6. (Optional) Visualize the Results": [[95, "6.-(Optional)-Visualize-the-Results"]], "Detect class imbalance in your dataset": [[95, "Detect-class-imbalance-in-your-dataset"]], "1. Prepare data": [[95, "1.-Prepare-data"]], "2. Detect class imbalance with Datalab": [[95, "2.-Detect-class-imbalance-with-Datalab"]], "3. (Optional) Visualize class imbalance issues": [[95, "3.-(Optional)-Visualize-class-imbalance-issues"]], "Identify Spurious Correlations in Image Datasets": [[95, "Identify-Spurious-Correlations-in-Image-Datasets"]], "2. Creating Dataset object to be passed to the Datalab object to find image-related issues": [[95, "2.-Creating-Dataset-object-to-be-passed-to-the-Datalab-object-to-find-image-related-issues"]], "3. (Optional) Creating a transformed dataset using ImageEnhance to induce darkness": [[95, "3.-(Optional)-Creating-a-transformed-dataset-using-ImageEnhance-to-induce-darkness"]], "4. (Optional) Visualizing Images in the dataset": [[95, "4.-(Optional)-Visualizing-Images-in-the-dataset"]], "5. Finding image-specific property scores": [[95, "5.-Finding-image-specific-property-scores"]], "Image-specific property scores in the original dataset": [[95, "Image-specific-property-scores-in-the-original-dataset"]], "Image-specific property scores in the transformed dataset": [[95, "Image-specific-property-scores-in-the-transformed-dataset"]], "Understanding Dataset-level Labeling Issues": [[96, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[96, "Install-dependencies-and-import-them"], [99, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[96, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[96, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[97, "FAQ"]], "What data can cleanlab detect issues in?": [[97, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[97, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[97, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[97, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[97, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[97, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[97, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[97, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[97, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[97, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by Datalab?": [[97, "How-to-handle-near-duplicate-data-identified-by-Datalab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[97, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[97, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[97, "Can't-find-an-answer-to-your-question?"]], "Improving ML Performance via Data Curation with Train vs Test Splits": [[98, "Improving-ML-Performance-via-Data-Curation-with-Train-vs-Test-Splits"]], "Why did you make this tutorial?": [[98, "Why-did-you-make-this-tutorial?"]], "1. Install dependencies": [[98, "1.-Install-dependencies"]], "2. Preprocess the data": [[98, "2.-Preprocess-the-data"]], "3. Check for fundamental problems in the train/test setup": [[98, "3.-Check-for-fundamental-problems-in-the-train/test-setup"]], "4. Train model with original (noisy) training data": [[98, "4.-Train-model-with-original-(noisy)-training-data"]], "Compute out-of-sample predicted probabilities for the test data from this baseline model": [[98, "Compute-out-of-sample-predicted-probabilities-for-the-test-data-from-this-baseline-model"]], "5. Check for issues in test data and manually address them": [[98, "5.-Check-for-issues-in-test-data-and-manually-address-them"]], "Use clean test data to evaluate the performance of model trained on noisy training data": [[98, "Use-clean-test-data-to-evaluate-the-performance-of-model-trained-on-noisy-training-data"]], "6. Check for issues in training data and algorithmically correct them": [[98, "6.-Check-for-issues-in-training-data-and-algorithmically-correct-them"]], "7. Train model on cleaned training data": [[98, "7.-Train-model-on-cleaned-training-data"]], "Use clean test data to evaluate the performance of model trained on cleaned training data": [[98, "Use-clean-test-data-to-evaluate-the-performance-of-model-trained-on-cleaned-training-data"]], "8. Identifying better training data curation strategies via hyperparameter optimization techniques": [[98, "8.-Identifying-better-training-data-curation-strategies-via-hyperparameter-optimization-techniques"]], "9. Conclusion": [[98, "9.-Conclusion"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[99, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[99, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[99, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[99, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[99, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[99, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[99, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[99, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[99, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[99, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[99, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[99, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[99, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[99, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[99, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[99, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[99, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[99, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[99, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[100, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[101, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[101, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[101, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[101, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[101, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[101, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[101, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[101, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[101, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[102, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[102, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[102, "2.-Format-data,-labels,-and-model-predictions"], [103, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"], [107, "3.-Use-cleanlab-to-find-label-issues"], [108, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[102, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[102, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[102, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[102, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[102, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[103, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[103, "1.-Install-required-dependencies-and-download-data"], [107, "1.-Install-required-dependencies-and-download-data"], [108, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[103, "Get-label-quality-scores"], [107, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[103, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[103, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[103, "Other-uses-of-visualize"]], "Exploratory data analysis": [[103, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[104, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[104, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[104, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[104, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[104, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[104, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[105, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[105, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[105, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[106, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[106, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[106, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[107, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. 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"data-valuation-score"]], "Optional Issue Parameters": [[10, "optional-issue-parameters"]], "Label Issue Parameters": [[10, "label-issue-parameters"]], "Outlier Issue Parameters": [[10, "outlier-issue-parameters"]], "Duplicate Issue Parameters": [[10, "duplicate-issue-parameters"]], "Non-IID Issue Parameters": [[10, "non-iid-issue-parameters"]], "Imbalance Issue Parameters": [[10, "imbalance-issue-parameters"]], "Underperforming Group Issue Parameters": [[10, "underperforming-group-issue-parameters"]], "Null Issue Parameters": [[10, "null-issue-parameters"]], "Data Valuation Issue Parameters": [[10, "data-valuation-issue-parameters"]], "Image Issue Parameters": [[10, "image-issue-parameters"]], "Getting Started": [[12, "getting-started"]], "Guides": [[12, "guides"]], "API Reference": [[12, "api-reference"]], "data": [[13, "module-cleanlab.datalab.internal.data"]], "data_issues": [[14, "module-cleanlab.datalab.internal.data_issues"]], "factory": [[15, "module-cleanlab.datalab.internal.issue_manager_factory"]], "internal": [[16, "internal"], [45, "internal"]], "issue_finder": [[17, "issue-finder"]], "duplicate": [[20, "module-cleanlab.datalab.internal.issue_manager.duplicate"]], "imbalance": [[21, "module-cleanlab.datalab.internal.issue_manager.imbalance"]], "issue_manager": [[22, "issue-manager"], [23, "module-cleanlab.datalab.internal.issue_manager.issue_manager"]], "Registered issue managers": [[22, "registered-issue-managers"]], "ML task-specific issue managers": [[22, "ml-task-specific-issue-managers"]], "label": [[24, "module-cleanlab.datalab.internal.issue_manager.label"], [26, "module-cleanlab.datalab.internal.issue_manager.multilabel.label"], [31, "module-cleanlab.datalab.internal.issue_manager.regression.label"]], "multilabel": [[25, "multilabel"]], "noniid": [[27, "module-cleanlab.datalab.internal.issue_manager.noniid"]], "null": [[28, "null"]], "outlier": [[29, "module-cleanlab.datalab.internal.issue_manager.outlier"], [55, "module-cleanlab.internal.outlier"], [70, "module-cleanlab.outlier"]], "regression": [[30, "regression"], [72, "regression"]], "Priority Order for finding issues:": [[31, null]], "underperforming_group": [[32, "underperforming-group"]], "model_outputs": [[33, "module-cleanlab.datalab.internal.model_outputs"]], "report": [[34, "report"]], "task": [[35, "task"]], "dataset": [[37, "module-cleanlab.dataset"], [62, "module-cleanlab.multilabel_classification.dataset"]], "cifar_cnn": [[38, "module-cleanlab.experimental.cifar_cnn"]], "coteaching": [[39, "module-cleanlab.experimental.coteaching"]], "experimental": [[40, "experimental"]], "label_issues_batched": [[41, "module-cleanlab.experimental.label_issues_batched"]], "mnist_pytorch": [[42, "module-cleanlab.experimental.mnist_pytorch"]], "span_classification": [[43, "module-cleanlab.experimental.span_classification"]], "filter": [[44, "module-cleanlab.filter"], [63, "module-cleanlab.multilabel_classification.filter"], [66, "filter"], [75, "filter"], [79, "module-cleanlab.token_classification.filter"]], "label_quality_utils": [[46, "module-cleanlab.internal.label_quality_utils"]], "latent_algebra": [[47, "module-cleanlab.internal.latent_algebra"]], "multiannotator_utils": [[48, "module-cleanlab.internal.multiannotator_utils"]], "multilabel_scorer": [[49, "module-cleanlab.internal.multilabel_scorer"]], "multilabel_utils": [[50, "module-cleanlab.internal.multilabel_utils"]], "neighbor": [[51, "neighbor"]], "knn_graph": [[52, "module-cleanlab.internal.neighbor.knn_graph"]], "metric": [[53, "module-cleanlab.internal.neighbor.metric"]], "search": [[54, "module-cleanlab.internal.neighbor.search"]], "token_classification_utils": [[56, "module-cleanlab.internal.token_classification_utils"]], "util": [[57, "module-cleanlab.internal.util"]], "validation": [[58, "module-cleanlab.internal.validation"]], "models": [[59, "models"]], "keras": [[60, "module-cleanlab.models.keras"]], "multiannotator": [[61, "module-cleanlab.multiannotator"]], "multilabel_classification": [[64, "multilabel-classification"]], "rank": [[65, "module-cleanlab.multilabel_classification.rank"], [68, "module-cleanlab.object_detection.rank"], [71, "module-cleanlab.rank"], [77, "module-cleanlab.segmentation.rank"], [81, "module-cleanlab.token_classification.rank"]], "object_detection": [[67, "object-detection"]], "summary": [[69, "summary"], [78, "module-cleanlab.segmentation.summary"], [82, "module-cleanlab.token_classification.summary"]], "regression.learn": [[73, "module-cleanlab.regression.learn"]], "regression.rank": [[74, "module-cleanlab.regression.rank"]], "segmentation": [[76, "segmentation"]], "token_classification": [[80, "token-classification"]], "cleanlab open-source documentation": [[83, "cleanlab-open-source-documentation"]], "Quickstart": [[83, "quickstart"]], "1. Install cleanlab": [[83, "install-cleanlab"]], "2. Find common issues in your data": [[83, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[83, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[83, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[83, "improve-your-data-via-many-other-techniques"]], "Contributing": [[83, "contributing"]], "Easy Mode": [[83, "easy-mode"], [91, "Easy-Mode"], [93, "Easy-Mode"], [94, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[84, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[84, "function-and-class-name-changes"]], "Module name changes": [[84, "module-name-changes"]], "New modules": [[84, "new-modules"]], "Removed modules": [[84, "removed-modules"]], "Common argument and variable name changes": [[84, "common-argument-and-variable-name-changes"]], "CleanLearning Tutorials": [[85, "cleanlearning-tutorials"]], "Classification with Structured/Tabular Data and Noisy Labels": [[86, "Classification-with-Structured/Tabular-Data-and-Noisy-Labels"]], "1. Install required dependencies": [[86, "1.-Install-required-dependencies"], [87, "1.-Install-required-dependencies"], [93, "1.-Install-required-dependencies"], [94, "1.-Install-required-dependencies"], [106, "1.-Install-required-dependencies"]], "2. Load and process the data": [[86, "2.-Load-and-process-the-data"], [93, "2.-Load-and-process-the-data"], [106, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[86, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [93, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[86, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[86, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[87, "Text-Classification-with-Noisy-Labels"]], "2. Load and format the text dataset": [[87, "2.-Load-and-format-the-text-dataset"], [94, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and use cleanlab to find potential label errors": [[87, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[87, "4.-Train-a-more-robust-model-from-noisy-labels"], [106, "4.-Train-a-more-robust-model-from-noisy-labels"]], "Detecting Issues in an Audio Dataset with Datalab": [[88, "Detecting-Issues-in-an-Audio-Dataset-with-Datalab"]], "1. Install dependencies and import them": [[88, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[88, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[88, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[88, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[88, "5.-Use-cleanlab-to-find-label-issues"], [93, "5.-Use-cleanlab-to-find-label-issues"]], "Datalab: Advanced workflows to audit your data": [[89, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[89, "Install-and-import-required-dependencies"]], "Create and load the data": [[89, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[89, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[89, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[89, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[89, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[89, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[89, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[90, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "1. Install and import required dependencies": [[90, "1.-Install-and-import-required-dependencies"], [91, "1.-Install-and-import-required-dependencies"], [101, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[90, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[90, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[90, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Learn more about the issues in your dataset": [[90, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[90, "Get-additional-information"]], "Near duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in an Image Dataset with Datalab": [[91, "Detecting-Issues-in-an-Image-Dataset-with-Datalab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[91, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[91, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[91, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[91, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[91, "7.-Use-cleanlab-to-find-issues"]], "View report": [[91, "View-report"]], "Label issues": [[91, "Label-issues"], [93, "Label-issues"], [94, "Label-issues"]], "View most likely examples with label errors": [[91, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[91, "Outlier-issues"], [93, "Outlier-issues"], [94, "Outlier-issues"]], "View most severe outliers": [[91, "View-most-severe-outliers"]], "View sets of near duplicate images": [[91, "View-sets-of-near-duplicate-images"]], "Dark images": [[91, "Dark-images"]], "View top examples of dark images": [[91, "View-top-examples-of-dark-images"]], "Low information images": [[91, "Low-information-images"]], "Datalab Tutorials": [[92, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[93, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[93, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[93, "Near-duplicate-issues"], [94, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[94, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[94, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[94, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[94, "Non-IID-issues-(data-drift)"]], "Miscellaneous workflows with Datalab": [[95, "Miscellaneous-workflows-with-Datalab"]], "Accelerate Issue Checks with Pre-computed kNN Graphs": [[95, "Accelerate-Issue-Checks-with-Pre-computed-kNN-Graphs"]], "1. Load and Prepare Your Dataset": [[95, "1.-Load-and-Prepare-Your-Dataset"]], "2. Compute kNN Graph": [[95, "2.-Compute-kNN-Graph"]], "3. Train a Classifier and Obtain Predicted Probabilities": [[95, "3.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"]], "4. Identify Data Issues Using Datalab": [[95, "4.-Identify-Data-Issues-Using-Datalab"]], "Explanation:": [[95, "Explanation:"]], "Data Valuation": [[95, "Data-Valuation"]], "1. Load and Prepare the Dataset": [[95, "1.-Load-and-Prepare-the-Dataset"], [95, "id2"], [95, "id5"]], "2. Vectorize the Text Data": [[95, "2.-Vectorize-the-Text-Data"]], "3. Perform Data Valuation with Datalab": [[95, "3.-Perform-Data-Valuation-with-Datalab"]], "4. (Optional) Visualize Data Valuation Scores": [[95, "4.-(Optional)-Visualize-Data-Valuation-Scores"]], "Find Underperforming Groups in a Dataset": [[95, "Find-Underperforming-Groups-in-a-Dataset"]], "1. Generate a Synthetic Dataset": [[95, "1.-Generate-a-Synthetic-Dataset"]], "2. Train a Classifier and Obtain Predicted Probabilities": [[95, "2.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"], [95, "id3"]], "3. (Optional) Cluster the Data": [[95, "3.-(Optional)-Cluster-the-Data"]], "4. Identify Underperforming Groups with Datalab": [[95, "4.-Identify-Underperforming-Groups-with-Datalab"], [95, "id4"]], "5. (Optional) Visualize the Results": [[95, "5.-(Optional)-Visualize-the-Results"]], "Predefining Data Slices for Detecting Underperforming Groups": [[95, "Predefining-Data-Slices-for-Detecting-Underperforming-Groups"]], "3. Define a Data Slice": [[95, "3.-Define-a-Data-Slice"]], "Detect if your dataset is non-IID": [[95, "Detect-if-your-dataset-is-non-IID"]], "2. Detect Non-IID Issues Using Datalab": [[95, "2.-Detect-Non-IID-Issues-Using-Datalab"]], "3. (Optional) Visualize the Results": [[95, "3.-(Optional)-Visualize-the-Results"]], "Catch Null Values in a Dataset": [[95, "Catch-Null-Values-in-a-Dataset"]], "1. Load the Dataset": [[95, "1.-Load-the-Dataset"], [95, "id8"]], "2: Encode Categorical Values": [[95, "2:-Encode-Categorical-Values"]], "3. Initialize Datalab": [[95, "3.-Initialize-Datalab"]], "4. Detect Null Values": [[95, "4.-Detect-Null-Values"]], "5. Sort the Dataset by Null Issues": [[95, "5.-Sort-the-Dataset-by-Null-Issues"]], "6. (Optional) Visualize the Results": [[95, "6.-(Optional)-Visualize-the-Results"]], "Detect class imbalance in your dataset": [[95, "Detect-class-imbalance-in-your-dataset"]], "1. Prepare data": [[95, "1.-Prepare-data"]], "2. Detect class imbalance with Datalab": [[95, "2.-Detect-class-imbalance-with-Datalab"]], "3. (Optional) Visualize class imbalance issues": [[95, "3.-(Optional)-Visualize-class-imbalance-issues"]], "Identify Spurious Correlations in Image Datasets": [[95, "Identify-Spurious-Correlations-in-Image-Datasets"]], "2. Creating Dataset object to be passed to the Datalab object to find image-related issues": [[95, "2.-Creating-Dataset-object-to-be-passed-to-the-Datalab-object-to-find-image-related-issues"]], "3. (Optional) Creating a transformed dataset using ImageEnhance to induce darkness": [[95, "3.-(Optional)-Creating-a-transformed-dataset-using-ImageEnhance-to-induce-darkness"]], "4. (Optional) Visualizing Images in the dataset": [[95, "4.-(Optional)-Visualizing-Images-in-the-dataset"]], "5. Finding image-specific property scores": [[95, "5.-Finding-image-specific-property-scores"]], "Image-specific property scores in the original dataset": [[95, "Image-specific-property-scores-in-the-original-dataset"]], "Image-specific property scores in the transformed dataset": [[95, "Image-specific-property-scores-in-the-transformed-dataset"]], "Understanding Dataset-level Labeling Issues": [[96, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[96, "Install-dependencies-and-import-them"], [99, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[96, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[96, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[97, "FAQ"]], "What data can cleanlab detect issues in?": [[97, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[97, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[97, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[97, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[97, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[97, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[97, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[97, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[97, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[97, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by Datalab?": [[97, "How-to-handle-near-duplicate-data-identified-by-Datalab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[97, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[97, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[97, "Can't-find-an-answer-to-your-question?"]], "Improving ML Performance via Data Curation with Train vs Test Splits": [[98, "Improving-ML-Performance-via-Data-Curation-with-Train-vs-Test-Splits"]], "Why did you make this tutorial?": [[98, "Why-did-you-make-this-tutorial?"]], "1. Install dependencies": [[98, "1.-Install-dependencies"]], "2. Preprocess the data": [[98, "2.-Preprocess-the-data"]], "3. Check for fundamental problems in the train/test setup": [[98, "3.-Check-for-fundamental-problems-in-the-train/test-setup"]], "4. Train model with original (noisy) training data": [[98, "4.-Train-model-with-original-(noisy)-training-data"]], "Compute out-of-sample predicted probabilities for the test data from this baseline model": [[98, "Compute-out-of-sample-predicted-probabilities-for-the-test-data-from-this-baseline-model"]], "5. Check for issues in test data and manually address them": [[98, "5.-Check-for-issues-in-test-data-and-manually-address-them"]], "Use clean test data to evaluate the performance of model trained on noisy training data": [[98, "Use-clean-test-data-to-evaluate-the-performance-of-model-trained-on-noisy-training-data"]], "6. Check for issues in training data and algorithmically correct them": [[98, "6.-Check-for-issues-in-training-data-and-algorithmically-correct-them"]], "7. Train model on cleaned training data": [[98, "7.-Train-model-on-cleaned-training-data"]], "Use clean test data to evaluate the performance of model trained on cleaned training data": [[98, "Use-clean-test-data-to-evaluate-the-performance-of-model-trained-on-cleaned-training-data"]], "8. Identifying better training data curation strategies via hyperparameter optimization techniques": [[98, "8.-Identifying-better-training-data-curation-strategies-via-hyperparameter-optimization-techniques"]], "9. Conclusion": [[98, "9.-Conclusion"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[99, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[99, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[99, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[99, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[99, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[99, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[99, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[99, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[99, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[99, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[99, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[99, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[99, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[99, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[99, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[99, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[99, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[99, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[99, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[100, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[101, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[101, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[101, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[101, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[101, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[101, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[101, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[101, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[101, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[102, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[102, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[102, "2.-Format-data,-labels,-and-model-predictions"], [103, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"], [107, "3.-Use-cleanlab-to-find-label-issues"], [108, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[102, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[102, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[102, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[102, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[102, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[103, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[103, "1.-Install-required-dependencies-and-download-data"], [107, "1.-Install-required-dependencies-and-download-data"], [108, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[103, "Get-label-quality-scores"], [107, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[103, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[103, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[103, "Other-uses-of-visualize"]], "Exploratory data analysis": [[103, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[104, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[104, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[104, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[104, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[104, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[104, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[105, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[105, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[105, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[106, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[106, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[106, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[107, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[107, "2.-Get-data,-labels,-and-pred_probs"], [108, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[107, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[107, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[107, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[108, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[108, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[108, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[108, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[108, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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"correct_knn_distances_and_indices_with_exact_duplicate_sets_inplace() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.correct_knn_distances_and_indices_with_exact_duplicate_sets_inplace"]], "correct_knn_graph() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.correct_knn_graph"]], "create_knn_graph_and_index() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.create_knn_graph_and_index"]], "features_to_knn() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.features_to_knn"]], "high_dimension_cutoff (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.HIGH_DIMENSION_CUTOFF"]], "row_count_cutoff (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.ROW_COUNT_CUTOFF"]], "cleanlab.internal.neighbor.metric": [[53, "module-cleanlab.internal.neighbor.metric"]], "decide_default_metric() (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.decide_default_metric"]], "decide_euclidean_metric() (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.decide_euclidean_metric"]], "cleanlab.internal.neighbor.search": [[54, "module-cleanlab.internal.neighbor.search"]], "construct_knn() (in module cleanlab.internal.neighbor.search)": [[54, "cleanlab.internal.neighbor.search.construct_knn"]], "cleanlab.internal.outlier": [[55, "module-cleanlab.internal.outlier"]], "correct_precision_errors() (in module cleanlab.internal.outlier)": [[55, "cleanlab.internal.outlier.correct_precision_errors"]], "transform_distances_to_scores() (in module cleanlab.internal.outlier)": [[55, "cleanlab.internal.outlier.transform_distances_to_scores"]], "cleanlab.internal.token_classification_utils": [[56, "module-cleanlab.internal.token_classification_utils"]], "color_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.color_sentence"]], "filter_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.filter_sentence"]], "get_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.get_sentence"]], "mapping() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.mapping"]], "merge_probs() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.merge_probs"]], "process_token() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.process_token"]], "append_extra_datapoint() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.append_extra_datapoint"]], "cleanlab.internal.util": [[57, "module-cleanlab.internal.util"]], "clip_noise_rates() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.clip_noise_rates"]], "clip_values() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.clip_values"]], "compress_int_array() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.compress_int_array"]], "confusion_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.confusion_matrix"]], "csr_vstack() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.csr_vstack"]], "estimate_pu_f1() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.estimate_pu_f1"]], "extract_indices_tf() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.extract_indices_tf"]], "force_two_dimensions() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.force_two_dimensions"]], "format_labels() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.format_labels"]], "get_missing_classes() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.get_missing_classes"]], "get_num_classes() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.get_num_classes"]], "get_unique_classes() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.get_unique_classes"]], "is_tensorflow_dataset() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.is_tensorflow_dataset"]], "is_torch_dataset() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.is_torch_dataset"]], "num_unique_classes() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.num_unique_classes"]], "print_inverse_noise_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.print_inverse_noise_matrix"]], "print_joint_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.print_joint_matrix"]], "print_noise_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.print_noise_matrix"]], "print_square_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.print_square_matrix"]], "remove_noise_from_class() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.remove_noise_from_class"]], "round_preserving_row_totals() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.round_preserving_row_totals"]], "round_preserving_sum() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.round_preserving_sum"]], "smart_display_dataframe() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.smart_display_dataframe"]], "subset_x_y() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.subset_X_y"]], "subset_data() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.subset_data"]], "subset_labels() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.subset_labels"]], "train_val_split() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.train_val_split"]], "unshuffle_tensorflow_dataset() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.unshuffle_tensorflow_dataset"]], "value_counts() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.value_counts"]], "value_counts_fill_missing_classes() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.value_counts_fill_missing_classes"]], "assert_indexing_works() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.assert_indexing_works"]], "assert_nonempty_input() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.assert_nonempty_input"]], "assert_valid_class_labels() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.assert_valid_class_labels"]], "assert_valid_inputs() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.assert_valid_inputs"]], "cleanlab.internal.validation": [[58, "module-cleanlab.internal.validation"]], "labels_to_array() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.labels_to_array"]], "labels_to_list_multilabel() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.labels_to_list_multilabel"]], "cleanlab.models": [[59, "module-cleanlab.models"]], "keraswrappermodel (class in cleanlab.models.keras)": [[60, "cleanlab.models.keras.KerasWrapperModel"]], "keraswrappersequential (class in cleanlab.models.keras)": [[60, "cleanlab.models.keras.KerasWrapperSequential"]], "cleanlab.models.keras": [[60, "module-cleanlab.models.keras"]], "fit() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.fit"]], "fit() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.fit"]], "get_params() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.get_params"]], "get_params() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.get_params"]], "predict() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.predict"]], "predict() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.predict"]], "predict_proba() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.predict_proba"]], "predict_proba() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.predict_proba"]], "set_params() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.set_params"]], "set_params() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.set_params"]], "summary() (cleanlab.models.keras.keraswrappermodel method)": [[60, "cleanlab.models.keras.KerasWrapperModel.summary"]], "summary() (cleanlab.models.keras.keraswrappersequential method)": [[60, "cleanlab.models.keras.KerasWrapperSequential.summary"]], "cleanlab.multiannotator": [[61, "module-cleanlab.multiannotator"]], "convert_long_to_wide_dataset() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.convert_long_to_wide_dataset"]], "get_active_learning_scores() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.get_active_learning_scores"]], "get_active_learning_scores_ensemble() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.get_active_learning_scores_ensemble"]], "get_label_quality_multiannotator() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.get_label_quality_multiannotator"]], "get_label_quality_multiannotator_ensemble() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.get_label_quality_multiannotator_ensemble"]], "get_majority_vote_label() (in module cleanlab.multiannotator)": [[61, "cleanlab.multiannotator.get_majority_vote_label"]], "cleanlab.multilabel_classification.dataset": [[62, "module-cleanlab.multilabel_classification.dataset"]], "common_multilabel_issues() (in module cleanlab.multilabel_classification.dataset)": [[62, "cleanlab.multilabel_classification.dataset.common_multilabel_issues"]], "multilabel_health_summary() (in module cleanlab.multilabel_classification.dataset)": [[62, "cleanlab.multilabel_classification.dataset.multilabel_health_summary"]], "overall_multilabel_health_score() (in module cleanlab.multilabel_classification.dataset)": [[62, "cleanlab.multilabel_classification.dataset.overall_multilabel_health_score"]], "rank_classes_by_multilabel_quality() (in module cleanlab.multilabel_classification.dataset)": [[62, "cleanlab.multilabel_classification.dataset.rank_classes_by_multilabel_quality"]], "cleanlab.multilabel_classification.filter": [[63, "module-cleanlab.multilabel_classification.filter"]], "find_label_issues() (in module cleanlab.multilabel_classification.filter)": [[63, "cleanlab.multilabel_classification.filter.find_label_issues"]], "find_multilabel_issues_per_class() (in module cleanlab.multilabel_classification.filter)": [[63, "cleanlab.multilabel_classification.filter.find_multilabel_issues_per_class"]], "cleanlab.multilabel_classification": [[64, "module-cleanlab.multilabel_classification"]], "cleanlab.multilabel_classification.rank": [[65, "module-cleanlab.multilabel_classification.rank"]], "get_label_quality_scores() (in module cleanlab.multilabel_classification.rank)": [[65, "cleanlab.multilabel_classification.rank.get_label_quality_scores"]], "get_label_quality_scores_per_class() (in module cleanlab.multilabel_classification.rank)": [[65, "cleanlab.multilabel_classification.rank.get_label_quality_scores_per_class"]], "cleanlab.object_detection.filter": [[66, "module-cleanlab.object_detection.filter"]], "find_label_issues() (in module cleanlab.object_detection.filter)": [[66, "cleanlab.object_detection.filter.find_label_issues"]], "cleanlab.object_detection": [[67, "module-cleanlab.object_detection"]], "cleanlab.object_detection.rank": [[68, "module-cleanlab.object_detection.rank"]], "compute_badloc_box_scores() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.compute_badloc_box_scores"]], "compute_overlooked_box_scores() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.compute_overlooked_box_scores"]], "compute_swap_box_scores() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.compute_swap_box_scores"]], "get_label_quality_scores() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.issues_from_scores"]], "pool_box_scores_per_image() (in module cleanlab.object_detection.rank)": [[68, "cleanlab.object_detection.rank.pool_box_scores_per_image"]], "bounding_box_size_distribution() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.bounding_box_size_distribution"]], "calculate_per_class_metrics() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.calculate_per_class_metrics"]], "class_label_distribution() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.class_label_distribution"]], "cleanlab.object_detection.summary": [[69, "module-cleanlab.object_detection.summary"]], "get_average_per_class_confusion_matrix() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.get_average_per_class_confusion_matrix"]], "get_sorted_bbox_count_idxs() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.get_sorted_bbox_count_idxs"]], "object_counts_per_image() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.object_counts_per_image"]], "plot_class_distribution() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.plot_class_distribution"]], "plot_class_size_distributions() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.plot_class_size_distributions"]], "visualize() (in module cleanlab.object_detection.summary)": [[69, "cleanlab.object_detection.summary.visualize"]], "outofdistribution (class in cleanlab.outlier)": [[70, "cleanlab.outlier.OutOfDistribution"]], "cleanlab.outlier": [[70, "module-cleanlab.outlier"]], "fit() (cleanlab.outlier.outofdistribution method)": [[70, "cleanlab.outlier.OutOfDistribution.fit"]], "fit_score() (cleanlab.outlier.outofdistribution method)": [[70, "cleanlab.outlier.OutOfDistribution.fit_score"]], "score() (cleanlab.outlier.outofdistribution method)": [[70, "cleanlab.outlier.OutOfDistribution.score"]], "cleanlab.rank": [[71, "module-cleanlab.rank"]], "find_top_issues() (in module cleanlab.rank)": [[71, "cleanlab.rank.find_top_issues"]], "get_confidence_weighted_entropy_for_each_label() (in module cleanlab.rank)": [[71, "cleanlab.rank.get_confidence_weighted_entropy_for_each_label"]], "get_label_quality_ensemble_scores() (in module cleanlab.rank)": [[71, "cleanlab.rank.get_label_quality_ensemble_scores"]], "get_label_quality_scores() (in module cleanlab.rank)": [[71, "cleanlab.rank.get_label_quality_scores"]], "get_normalized_margin_for_each_label() (in module cleanlab.rank)": [[71, "cleanlab.rank.get_normalized_margin_for_each_label"]], "get_self_confidence_for_each_label() (in module cleanlab.rank)": [[71, "cleanlab.rank.get_self_confidence_for_each_label"]], "order_label_issues() (in module cleanlab.rank)": [[71, "cleanlab.rank.order_label_issues"]], "cleanlab.regression": [[72, "module-cleanlab.regression"]], "cleanlearning (class in cleanlab.regression.learn)": [[73, "cleanlab.regression.learn.CleanLearning"]], "__init_subclass__() (cleanlab.regression.learn.cleanlearning class method)": [[73, "cleanlab.regression.learn.CleanLearning.__init_subclass__"]], "cleanlab.regression.learn": [[73, "module-cleanlab.regression.learn"]], "find_label_issues() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.find_label_issues"]], "fit() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.fit"]], "get_aleatoric_uncertainty() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.get_aleatoric_uncertainty"]], "get_epistemic_uncertainty() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.get_epistemic_uncertainty"]], "get_label_issues() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.get_label_issues"]], "get_metadata_routing() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.get_metadata_routing"]], "get_params() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.get_params"]], "predict() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.predict"]], "save_space() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.save_space"]], "score() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.score"]], "set_fit_request() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.set_fit_request"]], "set_params() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.set_params"]], "set_score_request() (cleanlab.regression.learn.cleanlearning method)": [[73, "cleanlab.regression.learn.CleanLearning.set_score_request"]], "cleanlab.regression.rank": [[74, "module-cleanlab.regression.rank"]], "get_label_quality_scores() (in module cleanlab.regression.rank)": [[74, "cleanlab.regression.rank.get_label_quality_scores"]], "cleanlab.segmentation.filter": [[75, "module-cleanlab.segmentation.filter"]], "find_label_issues() (in module cleanlab.segmentation.filter)": [[75, "cleanlab.segmentation.filter.find_label_issues"]], "cleanlab.segmentation": [[76, "module-cleanlab.segmentation"]], "cleanlab.segmentation.rank": [[77, "module-cleanlab.segmentation.rank"]], "get_label_quality_scores() (in module cleanlab.segmentation.rank)": [[77, "cleanlab.segmentation.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.segmentation.rank)": [[77, "cleanlab.segmentation.rank.issues_from_scores"]], "cleanlab.segmentation.summary": [[78, "module-cleanlab.segmentation.summary"]], "common_label_issues() (in module cleanlab.segmentation.summary)": [[78, "cleanlab.segmentation.summary.common_label_issues"]], "display_issues() (in module cleanlab.segmentation.summary)": [[78, "cleanlab.segmentation.summary.display_issues"]], "filter_by_class() (in module cleanlab.segmentation.summary)": [[78, "cleanlab.segmentation.summary.filter_by_class"]], "cleanlab.token_classification.filter": [[79, "module-cleanlab.token_classification.filter"]], "find_label_issues() (in module cleanlab.token_classification.filter)": [[79, "cleanlab.token_classification.filter.find_label_issues"]], "cleanlab.token_classification": [[80, "module-cleanlab.token_classification"]], "cleanlab.token_classification.rank": [[81, "module-cleanlab.token_classification.rank"]], "get_label_quality_scores() (in module cleanlab.token_classification.rank)": [[81, "cleanlab.token_classification.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.token_classification.rank)": [[81, "cleanlab.token_classification.rank.issues_from_scores"]], "cleanlab.token_classification.summary": [[82, "module-cleanlab.token_classification.summary"]], "common_label_issues() (in module cleanlab.token_classification.summary)": [[82, "cleanlab.token_classification.summary.common_label_issues"]], "display_issues() (in module cleanlab.token_classification.summary)": [[82, "cleanlab.token_classification.summary.display_issues"]], "filter_by_token() (in module cleanlab.token_classification.summary)": [[82, "cleanlab.token_classification.summary.filter_by_token"]]}}) \ No newline at end of file diff --git a/master/tutorials/clean_learning/tabular.ipynb b/master/tutorials/clean_learning/tabular.ipynb index 26fc7a6f6..0d1c2b8df 100644 --- a/master/tutorials/clean_learning/tabular.ipynb +++ b/master/tutorials/clean_learning/tabular.ipynb @@ -113,10 +113,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:39.342775Z", - "iopub.status.busy": "2024-07-09T06:21:39.342610Z", - "iopub.status.idle": "2024-07-09T06:21:40.557607Z", - "shell.execute_reply": "2024-07-09T06:21:40.556995Z" + "iopub.execute_input": "2024-07-11T23:24:57.041245Z", + "iopub.status.busy": "2024-07-11T23:24:57.041068Z", + "iopub.status.idle": "2024-07-11T23:24:58.274854Z", + "shell.execute_reply": "2024-07-11T23:24:58.274278Z" }, "nbsphinx": "hidden" }, @@ -126,7 +126,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@e4be990d65e77f5fed23f796725f09cd114a37d7\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@a8cb2839f0be3d312ddab7c799760a9c4939025f\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -151,10 +151,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.560493Z", - "iopub.status.busy": "2024-07-09T06:21:40.560042Z", - "iopub.status.idle": "2024-07-09T06:21:40.577948Z", - "shell.execute_reply": "2024-07-09T06:21:40.577491Z" + "iopub.execute_input": "2024-07-11T23:24:58.277844Z", + "iopub.status.busy": "2024-07-11T23:24:58.277197Z", + "iopub.status.idle": "2024-07-11T23:24:58.295762Z", + "shell.execute_reply": "2024-07-11T23:24:58.295306Z" } }, "outputs": [], @@ -195,10 +195,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.580339Z", - "iopub.status.busy": "2024-07-09T06:21:40.579867Z", - "iopub.status.idle": "2024-07-09T06:21:40.741573Z", - "shell.execute_reply": "2024-07-09T06:21:40.741011Z" + "iopub.execute_input": "2024-07-11T23:24:58.298157Z", + "iopub.status.busy": "2024-07-11T23:24:58.297701Z", + "iopub.status.idle": "2024-07-11T23:24:58.515009Z", + "shell.execute_reply": "2024-07-11T23:24:58.514416Z" } }, "outputs": [ @@ -305,10 +305,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.772745Z", - "iopub.status.busy": "2024-07-09T06:21:40.772251Z", - "iopub.status.idle": "2024-07-09T06:21:40.776261Z", - "shell.execute_reply": "2024-07-09T06:21:40.775690Z" + "iopub.execute_input": "2024-07-11T23:24:58.546676Z", + "iopub.status.busy": "2024-07-11T23:24:58.546458Z", + "iopub.status.idle": "2024-07-11T23:24:58.550407Z", + "shell.execute_reply": "2024-07-11T23:24:58.549926Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.778286Z", - "iopub.status.busy": "2024-07-09T06:21:40.777978Z", - "iopub.status.idle": "2024-07-09T06:21:40.786779Z", - "shell.execute_reply": "2024-07-09T06:21:40.786361Z" + "iopub.execute_input": "2024-07-11T23:24:58.552558Z", + "iopub.status.busy": "2024-07-11T23:24:58.552209Z", + "iopub.status.idle": "2024-07-11T23:24:58.560889Z", + "shell.execute_reply": "2024-07-11T23:24:58.560451Z" } }, "outputs": [], @@ -384,10 +384,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.789179Z", - "iopub.status.busy": "2024-07-09T06:21:40.788741Z", - "iopub.status.idle": "2024-07-09T06:21:40.791702Z", - "shell.execute_reply": "2024-07-09T06:21:40.791239Z" + "iopub.execute_input": "2024-07-11T23:24:58.563113Z", + "iopub.status.busy": "2024-07-11T23:24:58.562768Z", + "iopub.status.idle": "2024-07-11T23:24:58.565244Z", + "shell.execute_reply": "2024-07-11T23:24:58.564790Z" } }, "outputs": [], @@ -409,10 +409,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:40.793718Z", - "iopub.status.busy": "2024-07-09T06:21:40.793392Z", - "iopub.status.idle": "2024-07-09T06:21:41.315603Z", - "shell.execute_reply": "2024-07-09T06:21:41.314985Z" + "iopub.execute_input": "2024-07-11T23:24:58.567334Z", + "iopub.status.busy": "2024-07-11T23:24:58.567004Z", + "iopub.status.idle": "2024-07-11T23:24:59.095648Z", + "shell.execute_reply": "2024-07-11T23:24:59.095054Z" } }, "outputs": [], @@ -446,10 +446,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:41.318231Z", - "iopub.status.busy": "2024-07-09T06:21:41.317889Z", - "iopub.status.idle": "2024-07-09T06:21:43.227263Z", - "shell.execute_reply": "2024-07-09T06:21:43.226653Z" + "iopub.execute_input": "2024-07-11T23:24:59.098323Z", + "iopub.status.busy": "2024-07-11T23:24:59.097837Z", + "iopub.status.idle": "2024-07-11T23:25:01.058221Z", + "shell.execute_reply": "2024-07-11T23:25:01.057522Z" } }, "outputs": [ @@ -481,10 +481,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.229927Z", - "iopub.status.busy": "2024-07-09T06:21:43.229282Z", - "iopub.status.idle": "2024-07-09T06:21:43.240181Z", - "shell.execute_reply": "2024-07-09T06:21:43.239728Z" + "iopub.execute_input": "2024-07-11T23:25:01.061166Z", + "iopub.status.busy": "2024-07-11T23:25:01.060388Z", + "iopub.status.idle": "2024-07-11T23:25:01.070904Z", + "shell.execute_reply": "2024-07-11T23:25:01.070394Z" } }, "outputs": [ @@ -605,10 +605,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.242259Z", - "iopub.status.busy": "2024-07-09T06:21:43.241975Z", - "iopub.status.idle": "2024-07-09T06:21:43.246137Z", - "shell.execute_reply": "2024-07-09T06:21:43.245712Z" + "iopub.execute_input": "2024-07-11T23:25:01.073108Z", + "iopub.status.busy": "2024-07-11T23:25:01.072834Z", + "iopub.status.idle": "2024-07-11T23:25:01.076917Z", + "shell.execute_reply": "2024-07-11T23:25:01.076450Z" } }, "outputs": [], @@ -633,10 +633,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.248251Z", - "iopub.status.busy": "2024-07-09T06:21:43.247934Z", - "iopub.status.idle": "2024-07-09T06:21:43.255132Z", - "shell.execute_reply": "2024-07-09T06:21:43.254674Z" + "iopub.execute_input": "2024-07-11T23:25:01.079007Z", + "iopub.status.busy": "2024-07-11T23:25:01.078676Z", + "iopub.status.idle": "2024-07-11T23:25:01.086053Z", + "shell.execute_reply": "2024-07-11T23:25:01.085492Z" } }, "outputs": [], @@ -658,10 +658,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.257227Z", - "iopub.status.busy": "2024-07-09T06:21:43.256904Z", - "iopub.status.idle": "2024-07-09T06:21:43.368112Z", - "shell.execute_reply": "2024-07-09T06:21:43.367612Z" + "iopub.execute_input": "2024-07-11T23:25:01.088200Z", + "iopub.status.busy": "2024-07-11T23:25:01.087896Z", + "iopub.status.idle": "2024-07-11T23:25:01.202770Z", + "shell.execute_reply": "2024-07-11T23:25:01.202168Z" } }, "outputs": [ @@ -691,10 +691,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.370406Z", - "iopub.status.busy": "2024-07-09T06:21:43.370066Z", - "iopub.status.idle": "2024-07-09T06:21:43.372782Z", - "shell.execute_reply": "2024-07-09T06:21:43.372354Z" + "iopub.execute_input": "2024-07-11T23:25:01.205064Z", + "iopub.status.busy": "2024-07-11T23:25:01.204644Z", + "iopub.status.idle": "2024-07-11T23:25:01.207691Z", + "shell.execute_reply": "2024-07-11T23:25:01.207117Z" } }, "outputs": [], @@ -715,10 +715,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:43.374828Z", - "iopub.status.busy": "2024-07-09T06:21:43.374407Z", - "iopub.status.idle": "2024-07-09T06:21:45.339078Z", - "shell.execute_reply": "2024-07-09T06:21:45.338438Z" + "iopub.execute_input": "2024-07-11T23:25:01.210036Z", + "iopub.status.busy": "2024-07-11T23:25:01.209685Z", + "iopub.status.idle": "2024-07-11T23:25:03.346068Z", + "shell.execute_reply": "2024-07-11T23:25:03.345235Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:45.342064Z", - "iopub.status.busy": "2024-07-09T06:21:45.341327Z", - "iopub.status.idle": "2024-07-09T06:21:45.352590Z", - "shell.execute_reply": "2024-07-09T06:21:45.352125Z" + "iopub.execute_input": "2024-07-11T23:25:03.349549Z", + "iopub.status.busy": "2024-07-11T23:25:03.348625Z", + "iopub.status.idle": "2024-07-11T23:25:03.361106Z", + "shell.execute_reply": "2024-07-11T23:25:03.360645Z" } }, "outputs": [ @@ -771,10 +771,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-07-09T06:21:45.354672Z", - "iopub.status.busy": "2024-07-09T06:21:45.354342Z", - "iopub.status.idle": "2024-07-09T06:21:45.396625Z", - "shell.execute_reply": "2024-07-09T06:21:45.396172Z" + "iopub.execute_input": "2024-07-11T23:25:03.363272Z", + "iopub.status.busy": "2024-07-11T23:25:03.362928Z", + "iopub.status.idle": "2024-07-11T23:25:03.442341Z", + "shell.execute_reply": "2024-07-11T23:25:03.441848Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/clean_learning/text.html b/master/tutorials/clean_learning/text.html index 480d4d2ea..a076c61d1 100644 --- a/master/tutorials/clean_learning/text.html +++ b/master/tutorials/clean_learning/text.html @@ -817,7 +817,7 @@

2. Load and format the text dataset 
 This dataset has 10 classes.
-Classes: {'supported_cards_and_currencies', 'getting_spare_card', 'lost_or_stolen_phone', 'visa_or_mastercard', 'change_pin', 'card_about_to_expire', 'cancel_transfer', 'beneficiary_not_allowed', 'apple_pay_or_google_pay', 'card_payment_fee_charged'}
+Classes: {'lost_or_stolen_phone', 'getting_spare_card', 'cancel_transfer', 'card_payment_fee_charged', 'change_pin', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'card_about_to_expire', 'supported_cards_and_currencies'}

Let’s print the first example in the train set.

@@ -880,43 +880,43 @@

2. Load and format the text dataset

-
+