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dc3fbaf6d26be65005109b0285bea3ad4ae8ca5a..9bfc3386535c5dba422b46210bb14de4e9a1a8bf 100644 GIT binary patch delta 64 zcmca`is`~BrVTBOhWQ0%7RhM_Ir?Ua$!5tZDanS3CYC9Q21bdd#+DYAW+q8yNy(;( UNogh~mdR#GsfL@kGR|HM0Nvsh)c^nh delta 64 zcmca`is`~BrVTBOh9!9hxdqAP<@%PXDP|_-hRG>OhGxcT21!Qd#>q(*MnL2nE0}QKiKf83(X_nY25(K!@SaWqOyJa?`hnpBF7gnFlNoy$73Uw{lv& Rv?;{lQO$>l2K?rgG=JDZ6\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, @@ -2489,10 +2489,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:46.249753Z", - "iopub.status.busy": "2024-04-06T04:15:46.249429Z", - "iopub.status.idle": "2024-04-06T04:15:46.446289Z", - "shell.execute_reply": "2024-04-06T04:15:46.445717Z" + "iopub.execute_input": "2024-04-06T04:32:59.241500Z", + "iopub.status.busy": "2024-04-06T04:32:59.241175Z", + "iopub.status.idle": "2024-04-06T04:32:59.438012Z", + "shell.execute_reply": "2024-04-06T04:32:59.437410Z" } }, "outputs": [ @@ -2532,10 +2532,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:46.448528Z", - "iopub.status.busy": "2024-04-06T04:15:46.448216Z", - 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"@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -6379,7 +6411,7 @@ "width": null } }, - "f823fdf5151743ee90a218b258ea87ff": { + "f989133be39d4b8585b24a17aa6b8612": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -6432,104 +6464,72 @@ "width": null } }, - "f83b182cbfef43f9b6e165da73875419": { + "fa5a714c695a458288a525b0b07ff15d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_dc2596ecf2904fde9a212a3f308541e5", - "IPY_MODEL_b627c3fe164e4b63bc1789650329087f", - "IPY_MODEL_5df00a0d8d314b25ad3811b63ded156a" - ], - "layout": "IPY_MODEL_f823fdf5151743ee90a218b258ea87ff", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_8cf1e91b3283461d9e7f008fa37fff9f", + "max": 60000.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_a45cdcaa39ac4e7783e3300484169c30", "tabbable": null, - "tooltip": null + "tooltip": null, + "value": 60000.0 } }, - "ff1e772a59ce423580b3134bca1d92c9": { - "model_module": "@jupyter-widgets/base", + "fcd3307eda42417c8c3f83f6bd1ece28": { + "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "LayoutModel", + "model_name": "FloatProgressModel", "state": { - "_model_module": "@jupyter-widgets/base", + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "LayoutModel", + "_model_name": "FloatProgressModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_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": "ProgressView", + "bar_style": "success", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_d8b68b042b5241cf86f858b91a7ab195", + "max": 40.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_19d828f4e1d84ef2ac773bc529b40946", + "tabbable": null, + "tooltip": null, + "value": 40.0 } }, - "ffdad78df3264781ac2a4a0e7f6a47ff": { + "fd142fc752ad437dac5e121ea0a962e7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLModel", + "model_name": "ProgressStyleModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", + "_model_name": "ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_f791528742cc4153ad7e12f4fe834057", - "placeholder": "​", - "style": "IPY_MODEL_0be6ea4bdf434487844f8dcccf92799f", - "tabbable": null, - "tooltip": null, - "value": "100%" + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } } }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index e280384ab..43decdf02 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb @@ -74,10 +74,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:50.016933Z", - "iopub.status.busy": "2024-04-06T04:15:50.016765Z", - "iopub.status.idle": "2024-04-06T04:15:51.093933Z", - "shell.execute_reply": "2024-04-06T04:15:51.093393Z" + "iopub.execute_input": "2024-04-06T04:33:02.881954Z", + "iopub.status.busy": "2024-04-06T04:33:02.881761Z", + "iopub.status.idle": "2024-04-06T04:33:03.953480Z", + "shell.execute_reply": "2024-04-06T04:33:03.952937Z" }, "nbsphinx": "hidden" }, @@ -87,7 +87,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.096509Z", - "iopub.status.busy": "2024-04-06T04:15:51.096219Z", - "iopub.status.idle": "2024-04-06T04:15:51.114718Z", - "shell.execute_reply": "2024-04-06T04:15:51.114311Z" + "iopub.execute_input": "2024-04-06T04:33:03.956075Z", + "iopub.status.busy": "2024-04-06T04:33:03.955587Z", + "iopub.status.idle": "2024-04-06T04:33:03.973883Z", + "shell.execute_reply": "2024-04-06T04:33:03.973490Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.116987Z", - "iopub.status.busy": "2024-04-06T04:15:51.116584Z", - "iopub.status.idle": "2024-04-06T04:15:51.141165Z", - "shell.execute_reply": "2024-04-06T04:15:51.140695Z" + "iopub.execute_input": "2024-04-06T04:33:03.975942Z", + "iopub.status.busy": "2024-04-06T04:33:03.975699Z", + "iopub.status.idle": "2024-04-06T04:33:04.012978Z", + "shell.execute_reply": "2024-04-06T04:33:04.012510Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.143306Z", - "iopub.status.busy": "2024-04-06T04:15:51.142956Z", - "iopub.status.idle": "2024-04-06T04:15:51.146419Z", - "shell.execute_reply": "2024-04-06T04:15:51.145892Z" + "iopub.execute_input": "2024-04-06T04:33:04.014896Z", + "iopub.status.busy": "2024-04-06T04:33:04.014722Z", + "iopub.status.idle": "2024-04-06T04:33:04.018157Z", + "shell.execute_reply": "2024-04-06T04:33:04.017691Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.148509Z", - "iopub.status.busy": "2024-04-06T04:15:51.148195Z", - "iopub.status.idle": "2024-04-06T04:15:51.156122Z", - "shell.execute_reply": "2024-04-06T04:15:51.155564Z" + "iopub.execute_input": "2024-04-06T04:33:04.020151Z", + "iopub.status.busy": "2024-04-06T04:33:04.019837Z", + "iopub.status.idle": "2024-04-06T04:33:04.027381Z", + "shell.execute_reply": "2024-04-06T04:33:04.026969Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.158380Z", - "iopub.status.busy": "2024-04-06T04:15:51.157974Z", - "iopub.status.idle": "2024-04-06T04:15:51.160651Z", - "shell.execute_reply": "2024-04-06T04:15:51.160126Z" + "iopub.execute_input": "2024-04-06T04:33:04.029320Z", + "iopub.status.busy": "2024-04-06T04:33:04.029148Z", + "iopub.status.idle": "2024-04-06T04:33:04.031565Z", + "shell.execute_reply": "2024-04-06T04:33:04.031152Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.162562Z", - "iopub.status.busy": "2024-04-06T04:15:51.162265Z", - "iopub.status.idle": "2024-04-06T04:15:54.102739Z", - "shell.execute_reply": "2024-04-06T04:15:54.102113Z" + "iopub.execute_input": "2024-04-06T04:33:04.033457Z", + "iopub.status.busy": "2024-04-06T04:33:04.033286Z", + "iopub.status.idle": "2024-04-06T04:33:07.020218Z", + "shell.execute_reply": "2024-04-06T04:33:07.019691Z" } }, "outputs": [], @@ -402,10 +402,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:54.105301Z", - "iopub.status.busy": "2024-04-06T04:15:54.104968Z", - "iopub.status.idle": "2024-04-06T04:15:54.114359Z", - "shell.execute_reply": "2024-04-06T04:15:54.113824Z" + "iopub.execute_input": "2024-04-06T04:33:07.022814Z", + "iopub.status.busy": "2024-04-06T04:33:07.022610Z", + "iopub.status.idle": "2024-04-06T04:33:07.032179Z", + "shell.execute_reply": "2024-04-06T04:33:07.031775Z" } }, "outputs": [], @@ -437,10 +437,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:54.116540Z", - "iopub.status.busy": "2024-04-06T04:15:54.116231Z", - "iopub.status.idle": "2024-04-06T04:15:55.891275Z", - "shell.execute_reply": "2024-04-06T04:15:55.890683Z" + "iopub.execute_input": "2024-04-06T04:33:07.034095Z", + "iopub.status.busy": "2024-04-06T04:33:07.033903Z", + "iopub.status.idle": "2024-04-06T04:33:08.789065Z", + "shell.execute_reply": "2024-04-06T04:33:08.788481Z" } }, "outputs": [ @@ -485,10 +485,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.895568Z", - "iopub.status.busy": "2024-04-06T04:15:55.894234Z", - "iopub.status.idle": "2024-04-06T04:15:55.920587Z", - "shell.execute_reply": "2024-04-06T04:15:55.920085Z" + "iopub.execute_input": "2024-04-06T04:33:08.792211Z", + "iopub.status.busy": "2024-04-06T04:33:08.791532Z", + "iopub.status.idle": "2024-04-06T04:33:08.814502Z", + "shell.execute_reply": "2024-04-06T04:33:08.814015Z" }, "scrolled": true }, @@ -613,10 +613,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.924233Z", - "iopub.status.busy": "2024-04-06T04:15:55.923320Z", - "iopub.status.idle": "2024-04-06T04:15:55.934559Z", - "shell.execute_reply": "2024-04-06T04:15:55.934069Z" + "iopub.execute_input": "2024-04-06T04:33:08.817077Z", + "iopub.status.busy": "2024-04-06T04:33:08.816765Z", + "iopub.status.idle": "2024-04-06T04:33:08.825617Z", + "shell.execute_reply": "2024-04-06T04:33:08.825158Z" } }, "outputs": [ @@ -720,10 +720,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.938182Z", - "iopub.status.busy": "2024-04-06T04:15:55.937261Z", - "iopub.status.idle": "2024-04-06T04:15:55.950750Z", - "shell.execute_reply": "2024-04-06T04:15:55.950239Z" + "iopub.execute_input": "2024-04-06T04:33:08.828222Z", + "iopub.status.busy": "2024-04-06T04:33:08.827849Z", + "iopub.status.idle": "2024-04-06T04:33:08.838568Z", + "shell.execute_reply": "2024-04-06T04:33:08.838097Z" } }, "outputs": [ @@ -852,10 +852,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.954390Z", - "iopub.status.busy": "2024-04-06T04:15:55.953460Z", - "iopub.status.idle": "2024-04-06T04:15:55.964719Z", - "shell.execute_reply": "2024-04-06T04:15:55.964248Z" + "iopub.execute_input": "2024-04-06T04:33:08.841680Z", + "iopub.status.busy": "2024-04-06T04:33:08.840763Z", + "iopub.status.idle": "2024-04-06T04:33:08.851889Z", + "shell.execute_reply": "2024-04-06T04:33:08.851420Z" } }, "outputs": [ @@ -969,10 +969,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.968475Z", - "iopub.status.busy": "2024-04-06T04:15:55.967527Z", - "iopub.status.idle": "2024-04-06T04:15:55.978733Z", - "shell.execute_reply": "2024-04-06T04:15:55.978257Z" + "iopub.execute_input": "2024-04-06T04:33:08.855383Z", + "iopub.status.busy": "2024-04-06T04:33:08.854470Z", + "iopub.status.idle": "2024-04-06T04:33:08.866911Z", + "shell.execute_reply": "2024-04-06T04:33:08.866438Z" } }, "outputs": [ @@ -1083,10 +1083,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.980961Z", - "iopub.status.busy": "2024-04-06T04:15:55.980623Z", - "iopub.status.idle": "2024-04-06T04:15:55.987855Z", - "shell.execute_reply": "2024-04-06T04:15:55.987441Z" + "iopub.execute_input": "2024-04-06T04:33:08.869543Z", + "iopub.status.busy": "2024-04-06T04:33:08.869360Z", + "iopub.status.idle": "2024-04-06T04:33:08.876491Z", + "shell.execute_reply": "2024-04-06T04:33:08.875865Z" } }, "outputs": [ @@ -1170,10 +1170,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.989944Z", - "iopub.status.busy": "2024-04-06T04:15:55.989616Z", - "iopub.status.idle": "2024-04-06T04:15:55.995904Z", - "shell.execute_reply": "2024-04-06T04:15:55.995403Z" + "iopub.execute_input": "2024-04-06T04:33:08.878704Z", + "iopub.status.busy": "2024-04-06T04:33:08.878368Z", + "iopub.status.idle": "2024-04-06T04:33:08.884874Z", + "shell.execute_reply": "2024-04-06T04:33:08.884343Z" } }, "outputs": [ @@ -1266,10 +1266,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.998173Z", - "iopub.status.busy": "2024-04-06T04:15:55.997704Z", - "iopub.status.idle": "2024-04-06T04:15:56.005154Z", - "shell.execute_reply": "2024-04-06T04:15:56.004595Z" + "iopub.execute_input": "2024-04-06T04:33:08.887114Z", + "iopub.status.busy": "2024-04-06T04:33:08.886669Z", + "iopub.status.idle": "2024-04-06T04:33:08.893228Z", + "shell.execute_reply": "2024-04-06T04:33:08.892752Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index 8caecef08..a6257a523 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": "2024-04-06T04:15:58.980997Z", - "iopub.status.busy": "2024-04-06T04:15:58.980817Z", - "iopub.status.idle": "2024-04-06T04:16:01.635517Z", - "shell.execute_reply": "2024-04-06T04:16:01.634921Z" + "iopub.execute_input": "2024-04-06T04:33:11.681681Z", + "iopub.status.busy": "2024-04-06T04:33:11.681132Z", + "iopub.status.idle": "2024-04-06T04:33:14.408684Z", + "shell.execute_reply": "2024-04-06T04:33:14.408170Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:01.638211Z", - "iopub.status.busy": "2024-04-06T04:16:01.637841Z", - "iopub.status.idle": "2024-04-06T04:16:01.641348Z", - "shell.execute_reply": "2024-04-06T04:16:01.640830Z" + "iopub.execute_input": "2024-04-06T04:33:14.411372Z", + "iopub.status.busy": "2024-04-06T04:33:14.410870Z", + "iopub.status.idle": "2024-04-06T04:33:14.414126Z", + "shell.execute_reply": "2024-04-06T04:33:14.413639Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.643415Z", - "iopub.status.busy": "2024-04-06T04:16:01.643050Z", - "iopub.status.idle": "2024-04-06T04:16:01.646013Z", - "shell.execute_reply": "2024-04-06T04:16:01.645596Z" + "iopub.execute_input": "2024-04-06T04:33:14.416093Z", + "iopub.status.busy": "2024-04-06T04:33:14.415817Z", + "iopub.status.idle": "2024-04-06T04:33:14.419148Z", + "shell.execute_reply": "2024-04-06T04:33:14.418621Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.647872Z", - "iopub.status.busy": "2024-04-06T04:16:01.647695Z", - "iopub.status.idle": "2024-04-06T04:16:01.671923Z", - "shell.execute_reply": "2024-04-06T04:16:01.671486Z" + "iopub.execute_input": "2024-04-06T04:33:14.421094Z", + "iopub.status.busy": "2024-04-06T04:33:14.420828Z", + "iopub.status.idle": "2024-04-06T04:33:14.445821Z", + "shell.execute_reply": "2024-04-06T04:33:14.445234Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.673817Z", - "iopub.status.busy": "2024-04-06T04:16:01.673635Z", - "iopub.status.idle": "2024-04-06T04:16:01.677282Z", - "shell.execute_reply": "2024-04-06T04:16:01.676773Z" + "iopub.execute_input": "2024-04-06T04:33:14.448095Z", + "iopub.status.busy": "2024-04-06T04:33:14.447753Z", + "iopub.status.idle": "2024-04-06T04:33:14.451521Z", + "shell.execute_reply": "2024-04-06T04:33:14.451033Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'getting_spare_card', 'card_payment_fee_charged', 'change_pin', 'cancel_transfer', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'lost_or_stolen_phone', 'card_about_to_expire', 'apple_pay_or_google_pay'}\n" + "Classes: {'visa_or_mastercard', 'apple_pay_or_google_pay', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'change_pin', 'beneficiary_not_allowed', 'cancel_transfer', 'lost_or_stolen_phone', 'supported_cards_and_currencies'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.679189Z", - "iopub.status.busy": "2024-04-06T04:16:01.678921Z", - "iopub.status.idle": "2024-04-06T04:16:01.681836Z", - "shell.execute_reply": "2024-04-06T04:16:01.681428Z" + "iopub.execute_input": "2024-04-06T04:33:14.453654Z", + "iopub.status.busy": "2024-04-06T04:33:14.453334Z", + "iopub.status.idle": "2024-04-06T04:33:14.456651Z", + "shell.execute_reply": "2024-04-06T04:33:14.456195Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.683996Z", - "iopub.status.busy": "2024-04-06T04:16:01.683795Z", - "iopub.status.idle": "2024-04-06T04:16:05.869169Z", - "shell.execute_reply": "2024-04-06T04:16:05.868466Z" + "iopub.execute_input": "2024-04-06T04:33:14.458570Z", + "iopub.status.busy": "2024-04-06T04:33:14.458385Z", + "iopub.status.idle": "2024-04-06T04:33:18.310859Z", + "shell.execute_reply": "2024-04-06T04:33:18.310235Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:05.872192Z", - "iopub.status.busy": "2024-04-06T04:16:05.871664Z", - "iopub.status.idle": "2024-04-06T04:16:06.850433Z", - "shell.execute_reply": "2024-04-06T04:16:06.849867Z" + "iopub.execute_input": "2024-04-06T04:33:18.313664Z", + "iopub.status.busy": "2024-04-06T04:33:18.313302Z", + "iopub.status.idle": "2024-04-06T04:33:19.193930Z", + "shell.execute_reply": "2024-04-06T04:33:19.193370Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:06.853315Z", - "iopub.status.busy": "2024-04-06T04:16:06.852888Z", - "iopub.status.idle": "2024-04-06T04:16:06.856060Z", - "shell.execute_reply": "2024-04-06T04:16:06.855577Z" + "iopub.execute_input": "2024-04-06T04:33:19.196805Z", + "iopub.status.busy": "2024-04-06T04:33:19.196442Z", + "iopub.status.idle": "2024-04-06T04:33:19.199261Z", + "shell.execute_reply": "2024-04-06T04:33:19.198798Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:06.858535Z", - "iopub.status.busy": "2024-04-06T04:16:06.858115Z", - "iopub.status.idle": "2024-04-06T04:16:08.429970Z", - "shell.execute_reply": "2024-04-06T04:16:08.429311Z" + "iopub.execute_input": "2024-04-06T04:33:19.201572Z", + "iopub.status.busy": "2024-04-06T04:33:19.201213Z", + "iopub.status.idle": "2024-04-06T04:33:20.771182Z", + "shell.execute_reply": "2024-04-06T04:33:20.770550Z" }, "scrolled": true }, @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.433540Z", - "iopub.status.busy": "2024-04-06T04:16:08.432944Z", - "iopub.status.idle": "2024-04-06T04:16:08.458129Z", - "shell.execute_reply": "2024-04-06T04:16:08.457627Z" + "iopub.execute_input": "2024-04-06T04:33:20.774433Z", + "iopub.status.busy": "2024-04-06T04:33:20.773600Z", + "iopub.status.idle": "2024-04-06T04:33:20.799139Z", + "shell.execute_reply": "2024-04-06T04:33:20.798597Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.461622Z", - "iopub.status.busy": "2024-04-06T04:16:08.460657Z", - "iopub.status.idle": "2024-04-06T04:16:08.472275Z", - "shell.execute_reply": "2024-04-06T04:16:08.471790Z" + "iopub.execute_input": "2024-04-06T04:33:20.801783Z", + "iopub.status.busy": "2024-04-06T04:33:20.801390Z", + "iopub.status.idle": "2024-04-06T04:33:20.811382Z", + "shell.execute_reply": "2024-04-06T04:33:20.810884Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.475751Z", - "iopub.status.busy": "2024-04-06T04:16:08.474843Z", - "iopub.status.idle": "2024-04-06T04:16:08.481161Z", - "shell.execute_reply": "2024-04-06T04:16:08.480567Z" + "iopub.execute_input": "2024-04-06T04:33:20.813909Z", + "iopub.status.busy": "2024-04-06T04:33:20.813527Z", + "iopub.status.idle": "2024-04-06T04:33:20.818371Z", + "shell.execute_reply": "2024-04-06T04:33:20.817869Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.483438Z", - "iopub.status.busy": "2024-04-06T04:16:08.483264Z", - "iopub.status.idle": "2024-04-06T04:16:08.490944Z", - "shell.execute_reply": "2024-04-06T04:16:08.490403Z" + "iopub.execute_input": "2024-04-06T04:33:20.820606Z", + "iopub.status.busy": "2024-04-06T04:33:20.820299Z", + "iopub.status.idle": "2024-04-06T04:33:20.826482Z", + "shell.execute_reply": "2024-04-06T04:33:20.826090Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.493066Z", - "iopub.status.busy": "2024-04-06T04:16:08.492894Z", - "iopub.status.idle": "2024-04-06T04:16:08.499255Z", - "shell.execute_reply": "2024-04-06T04:16:08.498859Z" + "iopub.execute_input": "2024-04-06T04:33:20.828437Z", + "iopub.status.busy": "2024-04-06T04:33:20.828137Z", + "iopub.status.idle": "2024-04-06T04:33:20.834167Z", + "shell.execute_reply": "2024-04-06T04:33:20.833652Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.501464Z", - "iopub.status.busy": "2024-04-06T04:16:08.500950Z", - "iopub.status.idle": "2024-04-06T04:16:08.506843Z", - "shell.execute_reply": "2024-04-06T04:16:08.506432Z" + "iopub.execute_input": "2024-04-06T04:33:20.836059Z", + "iopub.status.busy": "2024-04-06T04:33:20.835877Z", + "iopub.status.idle": "2024-04-06T04:33:20.841929Z", + "shell.execute_reply": "2024-04-06T04:33:20.841349Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.509115Z", - "iopub.status.busy": "2024-04-06T04:16:08.508602Z", - "iopub.status.idle": "2024-04-06T04:16:08.516801Z", - "shell.execute_reply": "2024-04-06T04:16:08.516407Z" + "iopub.execute_input": "2024-04-06T04:33:20.843988Z", + "iopub.status.busy": "2024-04-06T04:33:20.843684Z", + "iopub.status.idle": "2024-04-06T04:33:20.852453Z", + "shell.execute_reply": "2024-04-06T04:33:20.851982Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.519036Z", - "iopub.status.busy": "2024-04-06T04:16:08.518506Z", - "iopub.status.idle": "2024-04-06T04:16:08.523968Z", - "shell.execute_reply": "2024-04-06T04:16:08.523558Z" + "iopub.execute_input": "2024-04-06T04:33:20.854597Z", + "iopub.status.busy": "2024-04-06T04:33:20.854199Z", + "iopub.status.idle": "2024-04-06T04:33:20.859815Z", + "shell.execute_reply": "2024-04-06T04:33:20.859258Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.525951Z", - "iopub.status.busy": "2024-04-06T04:16:08.525543Z", - "iopub.status.idle": "2024-04-06T04:16:08.530793Z", - "shell.execute_reply": "2024-04-06T04:16:08.530264Z" + "iopub.execute_input": "2024-04-06T04:33:20.861773Z", + "iopub.status.busy": "2024-04-06T04:33:20.861471Z", + "iopub.status.idle": "2024-04-06T04:33:20.866885Z", + "shell.execute_reply": "2024-04-06T04:33:20.866352Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.532785Z", - "iopub.status.busy": "2024-04-06T04:16:08.532500Z", - "iopub.status.idle": "2024-04-06T04:16:08.535816Z", - "shell.execute_reply": "2024-04-06T04:16:08.535329Z" + "iopub.execute_input": "2024-04-06T04:33:20.869013Z", + "iopub.status.busy": "2024-04-06T04:33:20.868609Z", + "iopub.status.idle": "2024-04-06T04:33:20.872412Z", + "shell.execute_reply": "2024-04-06T04:33:20.871871Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.537804Z", - "iopub.status.busy": "2024-04-06T04:16:08.537486Z", - "iopub.status.idle": "2024-04-06T04:16:08.542264Z", - "shell.execute_reply": "2024-04-06T04:16:08.541823Z" + "iopub.execute_input": "2024-04-06T04:33:20.874578Z", + "iopub.status.busy": "2024-04-06T04:33:20.874128Z", + "iopub.status.idle": "2024-04-06T04:33:20.879644Z", + "shell.execute_reply": "2024-04-06T04:33:20.879101Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb index 9715b8d4b..31a8923c7 100644 --- a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb @@ -68,10 +68,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:11.827441Z", - "iopub.status.busy": "2024-04-06T04:16:11.827268Z", - "iopub.status.idle": "2024-04-06T04:16:12.900240Z", - "shell.execute_reply": "2024-04-06T04:16:12.899649Z" + "iopub.execute_input": "2024-04-06T04:33:24.564833Z", + "iopub.status.busy": "2024-04-06T04:33:24.564645Z", + "iopub.status.idle": "2024-04-06T04:33:25.678241Z", + "shell.execute_reply": "2024-04-06T04:33:25.677637Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -108,10 +108,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.903158Z", - "iopub.status.busy": "2024-04-06T04:16:12.902591Z", - "iopub.status.idle": "2024-04-06T04:16:12.905507Z", - "shell.execute_reply": "2024-04-06T04:16:12.905059Z" + "iopub.execute_input": "2024-04-06T04:33:25.681005Z", + "iopub.status.busy": "2024-04-06T04:33:25.680432Z", + "iopub.status.idle": "2024-04-06T04:33:25.683479Z", + "shell.execute_reply": "2024-04-06T04:33:25.683004Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.907643Z", - "iopub.status.busy": "2024-04-06T04:16:12.907467Z", - "iopub.status.idle": "2024-04-06T04:16:12.919565Z", - "shell.execute_reply": "2024-04-06T04:16:12.919023Z" + "iopub.execute_input": "2024-04-06T04:33:25.685643Z", + "iopub.status.busy": "2024-04-06T04:33:25.685458Z", + "iopub.status.idle": "2024-04-06T04:33:25.698037Z", + "shell.execute_reply": "2024-04-06T04:33:25.697552Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.921585Z", - "iopub.status.busy": "2024-04-06T04:16:12.921255Z", - "iopub.status.idle": "2024-04-06T04:16:16.478543Z", - "shell.execute_reply": "2024-04-06T04:16:16.478086Z" + "iopub.execute_input": "2024-04-06T04:33:25.700120Z", + "iopub.status.busy": "2024-04-06T04:33:25.699931Z", + "iopub.status.idle": "2024-04-06T04:33:30.316432Z", + "shell.execute_reply": "2024-04-06T04:33:30.315931Z" }, "id": "dhTHOg8Pyv5G" }, @@ -692,7 +692,13 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index 084feca40..71792b57a 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": "2024-04-06T04:16:18.630228Z", - "iopub.status.busy": "2024-04-06T04:16:18.629773Z", - "iopub.status.idle": "2024-04-06T04:16:19.717285Z", - "shell.execute_reply": "2024-04-06T04:16:19.716754Z" + "iopub.execute_input": "2024-04-06T04:33:32.453926Z", + "iopub.status.busy": "2024-04-06T04:33:32.453487Z", + "iopub.status.idle": "2024-04-06T04:33:33.577711Z", + "shell.execute_reply": "2024-04-06T04:33:33.577162Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:19.719827Z", - "iopub.status.busy": "2024-04-06T04:16:19.719547Z", - "iopub.status.idle": "2024-04-06T04:16:19.722875Z", - "shell.execute_reply": "2024-04-06T04:16:19.722410Z" + "iopub.execute_input": "2024-04-06T04:33:33.580468Z", + "iopub.status.busy": "2024-04-06T04:33:33.579978Z", + "iopub.status.idle": "2024-04-06T04:33:33.583331Z", + "shell.execute_reply": "2024-04-06T04:33:33.582894Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:19.724721Z", - "iopub.status.busy": "2024-04-06T04:16:19.724550Z", - "iopub.status.idle": "2024-04-06T04:16:22.693080Z", - "shell.execute_reply": "2024-04-06T04:16:22.692344Z" + "iopub.execute_input": "2024-04-06T04:33:33.585545Z", + "iopub.status.busy": "2024-04-06T04:33:33.585109Z", + "iopub.status.idle": "2024-04-06T04:33:36.718652Z", + "shell.execute_reply": "2024-04-06T04:33:36.718005Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.696305Z", - "iopub.status.busy": "2024-04-06T04:16:22.695564Z", - "iopub.status.idle": "2024-04-06T04:16:22.728174Z", - "shell.execute_reply": "2024-04-06T04:16:22.727599Z" + "iopub.execute_input": "2024-04-06T04:33:36.721727Z", + "iopub.status.busy": "2024-04-06T04:33:36.721060Z", + "iopub.status.idle": "2024-04-06T04:33:36.760399Z", + "shell.execute_reply": "2024-04-06T04:33:36.759784Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.730962Z", - "iopub.status.busy": "2024-04-06T04:16:22.730489Z", - "iopub.status.idle": "2024-04-06T04:16:22.760391Z", - "shell.execute_reply": "2024-04-06T04:16:22.759838Z" + "iopub.execute_input": "2024-04-06T04:33:36.763173Z", + "iopub.status.busy": "2024-04-06T04:33:36.762842Z", + "iopub.status.idle": "2024-04-06T04:33:36.801368Z", + "shell.execute_reply": "2024-04-06T04:33:36.800735Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.762715Z", - "iopub.status.busy": "2024-04-06T04:16:22.762463Z", - "iopub.status.idle": "2024-04-06T04:16:22.765481Z", - "shell.execute_reply": "2024-04-06T04:16:22.765022Z" + "iopub.execute_input": "2024-04-06T04:33:36.804245Z", + "iopub.status.busy": "2024-04-06T04:33:36.803821Z", + "iopub.status.idle": "2024-04-06T04:33:36.807084Z", + "shell.execute_reply": "2024-04-06T04:33:36.806596Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.767437Z", - "iopub.status.busy": "2024-04-06T04:16:22.767124Z", - "iopub.status.idle": "2024-04-06T04:16:22.769623Z", - "shell.execute_reply": "2024-04-06T04:16:22.769199Z" + "iopub.execute_input": "2024-04-06T04:33:36.809090Z", + "iopub.status.busy": "2024-04-06T04:33:36.808779Z", + "iopub.status.idle": "2024-04-06T04:33:36.811544Z", + "shell.execute_reply": "2024-04-06T04:33:36.811006Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.771819Z", - "iopub.status.busy": "2024-04-06T04:16:22.771506Z", - "iopub.status.idle": "2024-04-06T04:16:22.796699Z", - "shell.execute_reply": "2024-04-06T04:16:22.796156Z" + "iopub.execute_input": "2024-04-06T04:33:36.813573Z", + "iopub.status.busy": "2024-04-06T04:33:36.813305Z", + "iopub.status.idle": "2024-04-06T04:33:36.837656Z", + "shell.execute_reply": "2024-04-06T04:33:36.837105Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e037cf4389884d2ca6c4c6f8c3db3915", + "model_id": "ad7ffe9f7e104f438570b96387ce328e", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d010c5336fd14cdab1efb31597d6bf6c", + "model_id": "6a93f0182ebb47fc96441f7413ee50a4", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.802394Z", - "iopub.status.busy": "2024-04-06T04:16:22.802218Z", - "iopub.status.idle": "2024-04-06T04:16:22.808522Z", - "shell.execute_reply": "2024-04-06T04:16:22.808123Z" + "iopub.execute_input": "2024-04-06T04:33:36.843747Z", + "iopub.status.busy": "2024-04-06T04:33:36.843506Z", + "iopub.status.idle": "2024-04-06T04:33:36.850771Z", + "shell.execute_reply": "2024-04-06T04:33:36.850304Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.810337Z", - "iopub.status.busy": "2024-04-06T04:16:22.810168Z", - "iopub.status.idle": "2024-04-06T04:16:22.813449Z", - "shell.execute_reply": "2024-04-06T04:16:22.813042Z" + "iopub.execute_input": "2024-04-06T04:33:36.853060Z", + "iopub.status.busy": "2024-04-06T04:33:36.852662Z", + "iopub.status.idle": "2024-04-06T04:33:36.856158Z", + "shell.execute_reply": "2024-04-06T04:33:36.855726Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.815335Z", - "iopub.status.busy": "2024-04-06T04:16:22.815015Z", - "iopub.status.idle": "2024-04-06T04:16:22.821107Z", - "shell.execute_reply": "2024-04-06T04:16:22.820663Z" + "iopub.execute_input": "2024-04-06T04:33:36.858276Z", + "iopub.status.busy": "2024-04-06T04:33:36.858000Z", + "iopub.status.idle": "2024-04-06T04:33:36.864594Z", + "shell.execute_reply": "2024-04-06T04:33:36.864108Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.823126Z", - "iopub.status.busy": "2024-04-06T04:16:22.822797Z", - "iopub.status.idle": "2024-04-06T04:16:22.858959Z", - "shell.execute_reply": "2024-04-06T04:16:22.858293Z" + "iopub.execute_input": "2024-04-06T04:33:36.866698Z", + "iopub.status.busy": "2024-04-06T04:33:36.866352Z", + "iopub.status.idle": "2024-04-06T04:33:36.905959Z", + "shell.execute_reply": "2024-04-06T04:33:36.905317Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.861509Z", - "iopub.status.busy": "2024-04-06T04:16:22.861175Z", - "iopub.status.idle": "2024-04-06T04:16:22.891534Z", - "shell.execute_reply": "2024-04-06T04:16:22.890881Z" + "iopub.execute_input": "2024-04-06T04:33:36.908640Z", + "iopub.status.busy": "2024-04-06T04:33:36.908384Z", + "iopub.status.idle": "2024-04-06T04:33:36.948839Z", + "shell.execute_reply": "2024-04-06T04:33:36.948221Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.893902Z", - "iopub.status.busy": "2024-04-06T04:16:22.893675Z", - "iopub.status.idle": "2024-04-06T04:16:23.014413Z", - "shell.execute_reply": "2024-04-06T04:16:23.013794Z" + "iopub.execute_input": "2024-04-06T04:33:36.951895Z", + "iopub.status.busy": "2024-04-06T04:33:36.951511Z", + "iopub.status.idle": "2024-04-06T04:33:37.080581Z", + "shell.execute_reply": "2024-04-06T04:33:37.079922Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:23.017156Z", - "iopub.status.busy": "2024-04-06T04:16:23.016635Z", - "iopub.status.idle": "2024-04-06T04:16:26.020660Z", - "shell.execute_reply": "2024-04-06T04:16:26.019996Z" + "iopub.execute_input": "2024-04-06T04:33:37.083569Z", + "iopub.status.busy": "2024-04-06T04:33:37.082731Z", + "iopub.status.idle": "2024-04-06T04:33:40.126106Z", + "shell.execute_reply": "2024-04-06T04:33:40.125422Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.023206Z", - "iopub.status.busy": "2024-04-06T04:16:26.022830Z", - "iopub.status.idle": "2024-04-06T04:16:26.079432Z", - "shell.execute_reply": "2024-04-06T04:16:26.078859Z" + "iopub.execute_input": "2024-04-06T04:33:40.128582Z", + "iopub.status.busy": "2024-04-06T04:33:40.128353Z", + "iopub.status.idle": "2024-04-06T04:33:40.189416Z", + "shell.execute_reply": "2024-04-06T04:33:40.188788Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.081692Z", - "iopub.status.busy": "2024-04-06T04:16:26.081279Z", - "iopub.status.idle": "2024-04-06T04:16:26.120101Z", - "shell.execute_reply": "2024-04-06T04:16:26.119549Z" + "iopub.execute_input": "2024-04-06T04:33:40.191652Z", + "iopub.status.busy": "2024-04-06T04:33:40.191314Z", + "iopub.status.idle": "2024-04-06T04:33:40.231110Z", + "shell.execute_reply": "2024-04-06T04:33:40.230569Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "d1c22757", + "id": "7997ced4", "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": "efb4bb46", + "id": "57a8d119", "metadata": {}, "source": [ "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n", @@ -1340,13 +1340,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "1e9de073", + "id": "9fb93000", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.122247Z", - "iopub.status.busy": "2024-04-06T04:16:26.121882Z", - "iopub.status.idle": "2024-04-06T04:16:26.245866Z", - "shell.execute_reply": "2024-04-06T04:16:26.245381Z" + "iopub.execute_input": "2024-04-06T04:33:40.233390Z", + "iopub.status.busy": "2024-04-06T04:33:40.233191Z", + "iopub.status.idle": "2024-04-06T04:33:40.327660Z", + "shell.execute_reply": "2024-04-06T04:33:40.327127Z" } }, "outputs": [ @@ -1387,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "c8b9ef58", + "id": "27082dba", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1396,13 +1396,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "c782bf6a", + "id": "5a3f0b1c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.248362Z", - "iopub.status.busy": "2024-04-06T04:16:26.248022Z", - "iopub.status.idle": "2024-04-06T04:16:26.307531Z", - "shell.execute_reply": "2024-04-06T04:16:26.307066Z" + "iopub.execute_input": "2024-04-06T04:33:40.330424Z", + "iopub.status.busy": "2024-04-06T04:33:40.330165Z", + "iopub.status.idle": "2024-04-06T04:33:40.412901Z", + "shell.execute_reply": "2024-04-06T04:33:40.412405Z" } }, "outputs": [ @@ -1445,7 +1445,7 @@ }, { "cell_type": "markdown", - "id": "3e3aeaed", + "id": "bb4c5299", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1456,13 +1456,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "dec49bf1", + "id": "0a847975", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.310799Z", - "iopub.status.busy": "2024-04-06T04:16:26.310063Z", - "iopub.status.idle": "2024-04-06T04:16:26.317904Z", - "shell.execute_reply": "2024-04-06T04:16:26.317453Z" + "iopub.execute_input": "2024-04-06T04:33:40.415545Z", + "iopub.status.busy": "2024-04-06T04:33:40.415364Z", + "iopub.status.idle": "2024-04-06T04:33:40.424747Z", + "shell.execute_reply": "2024-04-06T04:33:40.424323Z" } }, "outputs": [], @@ -1564,7 +1564,7 @@ }, { "cell_type": "markdown", - "id": "3f9f6288", + "id": "f6c74243", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1579,13 +1579,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "6e4b536f", + "id": "665cd26e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.320208Z", - "iopub.status.busy": "2024-04-06T04:16:26.319799Z", - "iopub.status.idle": "2024-04-06T04:16:26.337706Z", - "shell.execute_reply": "2024-04-06T04:16:26.337157Z" + "iopub.execute_input": "2024-04-06T04:33:40.427036Z", + "iopub.status.busy": "2024-04-06T04:33:40.426714Z", + "iopub.status.idle": "2024-04-06T04:33:40.447448Z", + "shell.execute_reply": "2024-04-06T04:33:40.446876Z" } }, "outputs": [ @@ -1602,7 +1602,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7725/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "/tmp/ipykernel_7516/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values\n" ] } @@ -1636,13 +1636,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "0d630068", + "id": "1a0ba0a1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.339591Z", - "iopub.status.busy": "2024-04-06T04:16:26.339270Z", - "iopub.status.idle": "2024-04-06T04:16:26.342513Z", - "shell.execute_reply": "2024-04-06T04:16:26.342052Z" + "iopub.execute_input": "2024-04-06T04:33:40.449833Z", + "iopub.status.busy": "2024-04-06T04:33:40.449476Z", + "iopub.status.idle": "2024-04-06T04:33:40.452685Z", + "shell.execute_reply": "2024-04-06T04:33:40.452130Z" } }, "outputs": [ @@ -1737,7 +1737,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "1520c7ddd1e44969881c547a43c9e684": { + "14b2e46a058f49b7877f1e0a8fc3b5b6": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1790,7 +1790,7 @@ "width": null } }, - 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"placeholder": "​", - "style": "IPY_MODEL_efc5471870364072aadad5da8b804efc", + "layout": "IPY_MODEL_be6b5fe0f64b4e89bba0bc6b2e5c249c", + "max": 50.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_cc099a9799bc402bbc12d51076fd879a", "tabbable": null, "tooltip": null, - "value": " 10000/? [00:00<00:00, 1087114.20it/s]" + "value": 50.0 } }, - "efc5471870364072aadad5da8b804efc": { + "f7f940143f124c22a39fad1b33b95e97": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index 2881453c1..09d453fd1 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": "2024-04-06T04:16:29.430149Z", - "iopub.status.busy": "2024-04-06T04:16:29.429976Z", - "iopub.status.idle": "2024-04-06T04:16:30.564039Z", - "shell.execute_reply": "2024-04-06T04:16:30.563507Z" + "iopub.execute_input": "2024-04-06T04:33:43.785678Z", + "iopub.status.busy": "2024-04-06T04:33:43.785475Z", + "iopub.status.idle": "2024-04-06T04:33:44.953788Z", + "shell.execute_reply": "2024-04-06T04:33:44.953182Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:30.566611Z", - "iopub.status.busy": "2024-04-06T04:16:30.566160Z", - "iopub.status.idle": "2024-04-06T04:16:30.744810Z", - "shell.execute_reply": "2024-04-06T04:16:30.744264Z" + "iopub.execute_input": "2024-04-06T04:33:44.956257Z", + "iopub.status.busy": "2024-04-06T04:33:44.955968Z", + "iopub.status.idle": "2024-04-06T04:33:45.136559Z", + "shell.execute_reply": "2024-04-06T04:33:45.135941Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.747314Z", - "iopub.status.busy": "2024-04-06T04:16:30.747034Z", - "iopub.status.idle": "2024-04-06T04:16:30.759196Z", - "shell.execute_reply": "2024-04-06T04:16:30.758739Z" + "iopub.execute_input": "2024-04-06T04:33:45.139194Z", + "iopub.status.busy": "2024-04-06T04:33:45.138996Z", + "iopub.status.idle": "2024-04-06T04:33:45.151534Z", + "shell.execute_reply": "2024-04-06T04:33:45.150954Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.761130Z", - "iopub.status.busy": "2024-04-06T04:16:30.760804Z", - "iopub.status.idle": "2024-04-06T04:16:30.994613Z", - "shell.execute_reply": "2024-04-06T04:16:30.994052Z" + "iopub.execute_input": "2024-04-06T04:33:45.153835Z", + "iopub.status.busy": "2024-04-06T04:33:45.153455Z", + "iopub.status.idle": "2024-04-06T04:33:45.364208Z", + "shell.execute_reply": "2024-04-06T04:33:45.363567Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.996911Z", - "iopub.status.busy": "2024-04-06T04:16:30.996524Z", - "iopub.status.idle": "2024-04-06T04:16:31.022836Z", - "shell.execute_reply": "2024-04-06T04:16:31.022277Z" + "iopub.execute_input": "2024-04-06T04:33:45.366694Z", + "iopub.status.busy": "2024-04-06T04:33:45.366209Z", + "iopub.status.idle": "2024-04-06T04:33:45.393157Z", + "shell.execute_reply": "2024-04-06T04:33:45.392663Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:31.025023Z", - "iopub.status.busy": "2024-04-06T04:16:31.024705Z", - "iopub.status.idle": "2024-04-06T04:16:32.689639Z", - "shell.execute_reply": "2024-04-06T04:16:32.689011Z" + "iopub.execute_input": "2024-04-06T04:33:45.395608Z", + "iopub.status.busy": "2024-04-06T04:33:45.395250Z", + "iopub.status.idle": "2024-04-06T04:33:47.125309Z", + "shell.execute_reply": "2024-04-06T04:33:47.124671Z" } }, "outputs": [ @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:32.692739Z", - "iopub.status.busy": "2024-04-06T04:16:32.691806Z", - "iopub.status.idle": "2024-04-06T04:16:32.710096Z", - "shell.execute_reply": "2024-04-06T04:16:32.709655Z" + "iopub.execute_input": "2024-04-06T04:33:47.127865Z", + "iopub.status.busy": "2024-04-06T04:33:47.127360Z", + "iopub.status.idle": "2024-04-06T04:33:47.146064Z", + "shell.execute_reply": "2024-04-06T04:33:47.145478Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:32.712277Z", - "iopub.status.busy": "2024-04-06T04:16:32.711888Z", - "iopub.status.idle": "2024-04-06T04:16:34.121379Z", - "shell.execute_reply": "2024-04-06T04:16:34.120829Z" + "iopub.execute_input": "2024-04-06T04:33:47.148206Z", + "iopub.status.busy": "2024-04-06T04:33:47.148010Z", + "iopub.status.idle": "2024-04-06T04:33:48.575713Z", + "shell.execute_reply": "2024-04-06T04:33:48.575123Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.124260Z", - "iopub.status.busy": "2024-04-06T04:16:34.123450Z", - "iopub.status.idle": "2024-04-06T04:16:34.137159Z", - "shell.execute_reply": "2024-04-06T04:16:34.136699Z" + "iopub.execute_input": "2024-04-06T04:33:48.578373Z", + "iopub.status.busy": "2024-04-06T04:33:48.577728Z", + "iopub.status.idle": "2024-04-06T04:33:48.591925Z", + "shell.execute_reply": "2024-04-06T04:33:48.591473Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.139252Z", - "iopub.status.busy": "2024-04-06T04:16:34.138914Z", - "iopub.status.idle": "2024-04-06T04:16:34.214593Z", - "shell.execute_reply": "2024-04-06T04:16:34.213981Z" + "iopub.execute_input": "2024-04-06T04:33:48.594180Z", + "iopub.status.busy": "2024-04-06T04:33:48.593840Z", + "iopub.status.idle": "2024-04-06T04:33:48.670108Z", + "shell.execute_reply": "2024-04-06T04:33:48.669540Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.217043Z", - "iopub.status.busy": "2024-04-06T04:16:34.216564Z", - "iopub.status.idle": "2024-04-06T04:16:34.429068Z", - "shell.execute_reply": "2024-04-06T04:16:34.428507Z" + "iopub.execute_input": "2024-04-06T04:33:48.672461Z", + "iopub.status.busy": "2024-04-06T04:33:48.672082Z", + "iopub.status.idle": "2024-04-06T04:33:48.894054Z", + "shell.execute_reply": "2024-04-06T04:33:48.893460Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.431328Z", - "iopub.status.busy": "2024-04-06T04:16:34.430969Z", - "iopub.status.idle": "2024-04-06T04:16:34.447948Z", - "shell.execute_reply": "2024-04-06T04:16:34.447502Z" + "iopub.execute_input": "2024-04-06T04:33:48.896310Z", + "iopub.status.busy": "2024-04-06T04:33:48.895957Z", + "iopub.status.idle": "2024-04-06T04:33:48.912992Z", + "shell.execute_reply": "2024-04-06T04:33:48.912438Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.450049Z", - "iopub.status.busy": "2024-04-06T04:16:34.449680Z", - "iopub.status.idle": "2024-04-06T04:16:34.459136Z", - "shell.execute_reply": "2024-04-06T04:16:34.458684Z" + "iopub.execute_input": "2024-04-06T04:33:48.915370Z", + "iopub.status.busy": "2024-04-06T04:33:48.914978Z", + "iopub.status.idle": "2024-04-06T04:33:48.925166Z", + "shell.execute_reply": "2024-04-06T04:33:48.924650Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.461189Z", - "iopub.status.busy": "2024-04-06T04:16:34.460883Z", - "iopub.status.idle": "2024-04-06T04:16:34.546980Z", - "shell.execute_reply": "2024-04-06T04:16:34.546388Z" + "iopub.execute_input": "2024-04-06T04:33:48.927196Z", + "iopub.status.busy": "2024-04-06T04:33:48.927015Z", + "iopub.status.idle": "2024-04-06T04:33:49.014441Z", + "shell.execute_reply": "2024-04-06T04:33:49.013806Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.549416Z", - "iopub.status.busy": "2024-04-06T04:16:34.549081Z", - "iopub.status.idle": "2024-04-06T04:16:34.666036Z", - "shell.execute_reply": "2024-04-06T04:16:34.665491Z" + "iopub.execute_input": "2024-04-06T04:33:49.016777Z", + "iopub.status.busy": "2024-04-06T04:33:49.016537Z", + "iopub.status.idle": "2024-04-06T04:33:49.145893Z", + "shell.execute_reply": "2024-04-06T04:33:49.145286Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.668421Z", - "iopub.status.busy": "2024-04-06T04:16:34.668052Z", - "iopub.status.idle": "2024-04-06T04:16:34.671958Z", - "shell.execute_reply": "2024-04-06T04:16:34.671475Z" + "iopub.execute_input": "2024-04-06T04:33:49.148236Z", + "iopub.status.busy": "2024-04-06T04:33:49.148006Z", + "iopub.status.idle": "2024-04-06T04:33:49.151659Z", + "shell.execute_reply": "2024-04-06T04:33:49.151136Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.673935Z", - "iopub.status.busy": "2024-04-06T04:16:34.673637Z", - "iopub.status.idle": "2024-04-06T04:16:34.677407Z", - "shell.execute_reply": "2024-04-06T04:16:34.676851Z" + "iopub.execute_input": "2024-04-06T04:33:49.153711Z", + "iopub.status.busy": "2024-04-06T04:33:49.153349Z", + "iopub.status.idle": "2024-04-06T04:33:49.157155Z", + "shell.execute_reply": "2024-04-06T04:33:49.156622Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.679348Z", - "iopub.status.busy": "2024-04-06T04:16:34.679087Z", - "iopub.status.idle": "2024-04-06T04:16:34.717109Z", - "shell.execute_reply": "2024-04-06T04:16:34.716638Z" + "iopub.execute_input": "2024-04-06T04:33:49.159176Z", + "iopub.status.busy": "2024-04-06T04:33:49.158878Z", + "iopub.status.idle": "2024-04-06T04:33:49.196839Z", + "shell.execute_reply": "2024-04-06T04:33:49.196263Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.719238Z", - "iopub.status.busy": "2024-04-06T04:16:34.718854Z", - "iopub.status.idle": "2024-04-06T04:16:34.761595Z", - "shell.execute_reply": "2024-04-06T04:16:34.761037Z" + "iopub.execute_input": "2024-04-06T04:33:49.198950Z", + "iopub.status.busy": "2024-04-06T04:33:49.198645Z", + "iopub.status.idle": "2024-04-06T04:33:49.242193Z", + "shell.execute_reply": "2024-04-06T04:33:49.241610Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.763590Z", - "iopub.status.busy": "2024-04-06T04:16:34.763291Z", - "iopub.status.idle": "2024-04-06T04:16:34.854715Z", - "shell.execute_reply": "2024-04-06T04:16:34.854134Z" + "iopub.execute_input": "2024-04-06T04:33:49.244487Z", + "iopub.status.busy": "2024-04-06T04:33:49.244090Z", + "iopub.status.idle": "2024-04-06T04:33:49.337248Z", + "shell.execute_reply": "2024-04-06T04:33:49.336579Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.857415Z", - "iopub.status.busy": "2024-04-06T04:16:34.857033Z", - "iopub.status.idle": "2024-04-06T04:16:34.939418Z", - "shell.execute_reply": "2024-04-06T04:16:34.938882Z" + "iopub.execute_input": "2024-04-06T04:33:49.339846Z", + "iopub.status.busy": "2024-04-06T04:33:49.339620Z", + "iopub.status.idle": "2024-04-06T04:33:49.430742Z", + "shell.execute_reply": "2024-04-06T04:33:49.430143Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.941858Z", - "iopub.status.busy": "2024-04-06T04:16:34.941389Z", - "iopub.status.idle": "2024-04-06T04:16:35.149130Z", - "shell.execute_reply": "2024-04-06T04:16:35.148549Z" + "iopub.execute_input": "2024-04-06T04:33:49.432983Z", + "iopub.status.busy": "2024-04-06T04:33:49.432697Z", + "iopub.status.idle": "2024-04-06T04:33:49.645127Z", + "shell.execute_reply": "2024-04-06T04:33:49.644551Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.151469Z", - "iopub.status.busy": "2024-04-06T04:16:35.151106Z", - "iopub.status.idle": "2024-04-06T04:16:35.321162Z", - "shell.execute_reply": "2024-04-06T04:16:35.320562Z" + "iopub.execute_input": "2024-04-06T04:33:49.647536Z", + "iopub.status.busy": "2024-04-06T04:33:49.647110Z", + "iopub.status.idle": "2024-04-06T04:33:49.836451Z", + "shell.execute_reply": "2024-04-06T04:33:49.835806Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.323607Z", - "iopub.status.busy": "2024-04-06T04:16:35.323218Z", - "iopub.status.idle": "2024-04-06T04:16:35.329092Z", - "shell.execute_reply": "2024-04-06T04:16:35.328658Z" + "iopub.execute_input": "2024-04-06T04:33:49.838935Z", + "iopub.status.busy": "2024-04-06T04:33:49.838446Z", + "iopub.status.idle": "2024-04-06T04:33:49.845067Z", + "shell.execute_reply": "2024-04-06T04:33:49.844540Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.331109Z", - "iopub.status.busy": "2024-04-06T04:16:35.330777Z", - "iopub.status.idle": "2024-04-06T04:16:35.549947Z", - "shell.execute_reply": "2024-04-06T04:16:35.549322Z" + "iopub.execute_input": "2024-04-06T04:33:49.847230Z", + "iopub.status.busy": "2024-04-06T04:33:49.846825Z", + "iopub.status.idle": "2024-04-06T04:33:50.065771Z", + "shell.execute_reply": "2024-04-06T04:33:50.065168Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.552571Z", - "iopub.status.busy": "2024-04-06T04:16:35.552084Z", - "iopub.status.idle": "2024-04-06T04:16:36.614576Z", - "shell.execute_reply": "2024-04-06T04:16:36.613951Z" + "iopub.execute_input": "2024-04-06T04:33:50.068226Z", + "iopub.status.busy": "2024-04-06T04:33:50.067840Z", + "iopub.status.idle": "2024-04-06T04:33:51.143014Z", + "shell.execute_reply": "2024-04-06T04:33:51.142387Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index 8d64c845b..f2ec4a55c 100644 --- a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb @@ -89,10 +89,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:39.842682Z", - "iopub.status.busy": "2024-04-06T04:16:39.842493Z", - "iopub.status.idle": "2024-04-06T04:16:40.904249Z", - "shell.execute_reply": "2024-04-06T04:16:40.903707Z" + "iopub.execute_input": "2024-04-06T04:33:54.655001Z", + "iopub.status.busy": "2024-04-06T04:33:54.654839Z", + "iopub.status.idle": "2024-04-06T04:33:55.737154Z", + "shell.execute_reply": "2024-04-06T04:33:55.736607Z" }, "nbsphinx": "hidden" }, @@ -102,7 +102,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -136,10 +136,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.906864Z", - "iopub.status.busy": "2024-04-06T04:16:40.906350Z", - "iopub.status.idle": "2024-04-06T04:16:40.909410Z", - "shell.execute_reply": "2024-04-06T04:16:40.908973Z" + "iopub.execute_input": "2024-04-06T04:33:55.739856Z", + "iopub.status.busy": "2024-04-06T04:33:55.739430Z", + "iopub.status.idle": "2024-04-06T04:33:55.742481Z", + "shell.execute_reply": "2024-04-06T04:33:55.741958Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.911516Z", - "iopub.status.busy": "2024-04-06T04:16:40.911185Z", - "iopub.status.idle": "2024-04-06T04:16:40.918926Z", - "shell.execute_reply": "2024-04-06T04:16:40.918454Z" + "iopub.execute_input": "2024-04-06T04:33:55.744755Z", + "iopub.status.busy": "2024-04-06T04:33:55.744422Z", + "iopub.status.idle": "2024-04-06T04:33:55.752051Z", + "shell.execute_reply": "2024-04-06T04:33:55.751620Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.920875Z", - "iopub.status.busy": "2024-04-06T04:16:40.920484Z", - "iopub.status.idle": "2024-04-06T04:16:40.968362Z", - "shell.execute_reply": "2024-04-06T04:16:40.967839Z" + "iopub.execute_input": "2024-04-06T04:33:55.754050Z", + "iopub.status.busy": "2024-04-06T04:33:55.753666Z", + "iopub.status.idle": "2024-04-06T04:33:55.808130Z", + "shell.execute_reply": "2024-04-06T04:33:55.807549Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.970431Z", - "iopub.status.busy": "2024-04-06T04:16:40.970252Z", - "iopub.status.idle": "2024-04-06T04:16:40.987654Z", - "shell.execute_reply": "2024-04-06T04:16:40.987139Z" + "iopub.execute_input": "2024-04-06T04:33:55.810525Z", + "iopub.status.busy": "2024-04-06T04:33:55.810206Z", + "iopub.status.idle": "2024-04-06T04:33:55.827426Z", + "shell.execute_reply": "2024-04-06T04:33:55.826967Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.989600Z", - "iopub.status.busy": "2024-04-06T04:16:40.989419Z", - "iopub.status.idle": "2024-04-06T04:16:40.993163Z", - "shell.execute_reply": "2024-04-06T04:16:40.992637Z" + "iopub.execute_input": "2024-04-06T04:33:55.829293Z", + "iopub.status.busy": "2024-04-06T04:33:55.829117Z", + "iopub.status.idle": "2024-04-06T04:33:55.833052Z", + "shell.execute_reply": "2024-04-06T04:33:55.832518Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.995099Z", - "iopub.status.busy": "2024-04-06T04:16:40.994924Z", - "iopub.status.idle": "2024-04-06T04:16:41.025782Z", - "shell.execute_reply": "2024-04-06T04:16:41.025242Z" + "iopub.execute_input": "2024-04-06T04:33:55.835165Z", + "iopub.status.busy": "2024-04-06T04:33:55.834833Z", + "iopub.status.idle": "2024-04-06T04:33:55.865218Z", + "shell.execute_reply": "2024-04-06T04:33:55.864706Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:41.027997Z", - "iopub.status.busy": "2024-04-06T04:16:41.027687Z", - "iopub.status.idle": "2024-04-06T04:16:41.054554Z", - "shell.execute_reply": "2024-04-06T04:16:41.053960Z" + "iopub.execute_input": "2024-04-06T04:33:55.867653Z", + "iopub.status.busy": "2024-04-06T04:33:55.867231Z", + "iopub.status.idle": "2024-04-06T04:33:55.894195Z", + "shell.execute_reply": "2024-04-06T04:33:55.893624Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:41.057159Z", - "iopub.status.busy": "2024-04-06T04:16:41.056783Z", - "iopub.status.idle": "2024-04-06T04:16:42.790293Z", - "shell.execute_reply": "2024-04-06T04:16:42.789738Z" + "iopub.execute_input": "2024-04-06T04:33:55.896247Z", + "iopub.status.busy": "2024-04-06T04:33:55.896066Z", + "iopub.status.idle": "2024-04-06T04:33:57.627098Z", + "shell.execute_reply": "2024-04-06T04:33:57.626566Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.792876Z", - "iopub.status.busy": "2024-04-06T04:16:42.792440Z", - "iopub.status.idle": "2024-04-06T04:16:42.798968Z", - "shell.execute_reply": "2024-04-06T04:16:42.798521Z" + "iopub.execute_input": "2024-04-06T04:33:57.629758Z", + "iopub.status.busy": "2024-04-06T04:33:57.629236Z", + "iopub.status.idle": "2024-04-06T04:33:57.636079Z", + "shell.execute_reply": "2024-04-06T04:33:57.635555Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.800896Z", - "iopub.status.busy": "2024-04-06T04:16:42.800578Z", - "iopub.status.idle": "2024-04-06T04:16:42.816097Z", - "shell.execute_reply": "2024-04-06T04:16:42.815514Z" + "iopub.execute_input": "2024-04-06T04:33:57.638210Z", + "iopub.status.busy": "2024-04-06T04:33:57.637876Z", + "iopub.status.idle": "2024-04-06T04:33:57.650276Z", + "shell.execute_reply": "2024-04-06T04:33:57.649820Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.818053Z", - "iopub.status.busy": "2024-04-06T04:16:42.817877Z", - "iopub.status.idle": "2024-04-06T04:16:42.824509Z", - "shell.execute_reply": "2024-04-06T04:16:42.824076Z" + "iopub.execute_input": "2024-04-06T04:33:57.652252Z", + "iopub.status.busy": "2024-04-06T04:33:57.651928Z", + "iopub.status.idle": "2024-04-06T04:33:57.658292Z", + "shell.execute_reply": "2024-04-06T04:33:57.657737Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.826513Z", - "iopub.status.busy": "2024-04-06T04:16:42.826215Z", - "iopub.status.idle": "2024-04-06T04:16:42.828918Z", - "shell.execute_reply": "2024-04-06T04:16:42.828390Z" + "iopub.execute_input": "2024-04-06T04:33:57.660348Z", + "iopub.status.busy": "2024-04-06T04:33:57.660033Z", + "iopub.status.idle": "2024-04-06T04:33:57.662546Z", + "shell.execute_reply": "2024-04-06T04:33:57.662096Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.831070Z", - "iopub.status.busy": "2024-04-06T04:16:42.830715Z", - "iopub.status.idle": "2024-04-06T04:16:42.834322Z", - "shell.execute_reply": "2024-04-06T04:16:42.833878Z" + "iopub.execute_input": "2024-04-06T04:33:57.664568Z", + "iopub.status.busy": "2024-04-06T04:33:57.664236Z", + "iopub.status.idle": "2024-04-06T04:33:57.667775Z", + "shell.execute_reply": "2024-04-06T04:33:57.667336Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.836385Z", - "iopub.status.busy": "2024-04-06T04:16:42.836066Z", - "iopub.status.idle": "2024-04-06T04:16:42.838499Z", - "shell.execute_reply": "2024-04-06T04:16:42.838092Z" + "iopub.execute_input": "2024-04-06T04:33:57.669724Z", + "iopub.status.busy": "2024-04-06T04:33:57.669426Z", + "iopub.status.idle": "2024-04-06T04:33:57.672060Z", + "shell.execute_reply": "2024-04-06T04:33:57.671546Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.840349Z", - "iopub.status.busy": "2024-04-06T04:16:42.840178Z", - "iopub.status.idle": "2024-04-06T04:16:42.844214Z", - "shell.execute_reply": "2024-04-06T04:16:42.843709Z" + "iopub.execute_input": "2024-04-06T04:33:57.673964Z", + "iopub.status.busy": "2024-04-06T04:33:57.673653Z", + "iopub.status.idle": "2024-04-06T04:33:57.677802Z", + "shell.execute_reply": "2024-04-06T04:33:57.677364Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.846196Z", - "iopub.status.busy": "2024-04-06T04:16:42.845918Z", - "iopub.status.idle": "2024-04-06T04:16:42.875194Z", - "shell.execute_reply": "2024-04-06T04:16:42.874785Z" + "iopub.execute_input": "2024-04-06T04:33:57.679746Z", + "iopub.status.busy": "2024-04-06T04:33:57.679562Z", + "iopub.status.idle": "2024-04-06T04:33:57.708692Z", + "shell.execute_reply": "2024-04-06T04:33:57.708184Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.877276Z", - "iopub.status.busy": "2024-04-06T04:16:42.876861Z", - "iopub.status.idle": "2024-04-06T04:16:42.881783Z", - "shell.execute_reply": "2024-04-06T04:16:42.881248Z" + "iopub.execute_input": "2024-04-06T04:33:57.711548Z", + "iopub.status.busy": "2024-04-06T04:33:57.711062Z", + "iopub.status.idle": "2024-04-06T04:33:57.716161Z", + "shell.execute_reply": "2024-04-06T04:33:57.715701Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index e4aafbf21..e4f3da5a6 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": "2024-04-06T04:16:45.661544Z", - "iopub.status.busy": "2024-04-06T04:16:45.661196Z", - "iopub.status.idle": "2024-04-06T04:16:46.809800Z", - "shell.execute_reply": "2024-04-06T04:16:46.809269Z" + "iopub.execute_input": "2024-04-06T04:34:00.530023Z", + "iopub.status.busy": "2024-04-06T04:34:00.529838Z", + "iopub.status.idle": "2024-04-06T04:34:01.665208Z", + "shell.execute_reply": "2024-04-06T04:34:01.664664Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:46.812367Z", - "iopub.status.busy": "2024-04-06T04:16:46.811955Z", - "iopub.status.idle": "2024-04-06T04:16:47.004877Z", - "shell.execute_reply": "2024-04-06T04:16:47.004387Z" + "iopub.execute_input": "2024-04-06T04:34:01.667949Z", + "iopub.status.busy": "2024-04-06T04:34:01.667372Z", + "iopub.status.idle": "2024-04-06T04:34:01.860713Z", + "shell.execute_reply": "2024-04-06T04:34:01.860104Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:47.007627Z", - "iopub.status.busy": "2024-04-06T04:16:47.007171Z", - "iopub.status.idle": "2024-04-06T04:16:47.020533Z", - "shell.execute_reply": "2024-04-06T04:16:47.019988Z" + "iopub.execute_input": "2024-04-06T04:34:01.863387Z", + "iopub.status.busy": "2024-04-06T04:34:01.863099Z", + "iopub.status.idle": "2024-04-06T04:34:01.876408Z", + "shell.execute_reply": "2024-04-06T04:34:01.875857Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:47.022765Z", - "iopub.status.busy": "2024-04-06T04:16:47.022336Z", - "iopub.status.idle": "2024-04-06T04:16:49.666131Z", - "shell.execute_reply": "2024-04-06T04:16:49.665587Z" + "iopub.execute_input": "2024-04-06T04:34:01.878382Z", + "iopub.status.busy": "2024-04-06T04:34:01.878075Z", + "iopub.status.idle": "2024-04-06T04:34:04.553375Z", + "shell.execute_reply": "2024-04-06T04:34:04.552763Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:49.668424Z", - "iopub.status.busy": "2024-04-06T04:16:49.668078Z", - "iopub.status.idle": "2024-04-06T04:16:51.001650Z", - "shell.execute_reply": "2024-04-06T04:16:51.001036Z" + "iopub.execute_input": "2024-04-06T04:34:04.555866Z", + "iopub.status.busy": "2024-04-06T04:34:04.555447Z", + "iopub.status.idle": "2024-04-06T04:34:05.899176Z", + "shell.execute_reply": "2024-04-06T04:34:05.898628Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:51.004148Z", - "iopub.status.busy": "2024-04-06T04:16:51.003951Z", - "iopub.status.idle": "2024-04-06T04:16:51.007855Z", - "shell.execute_reply": "2024-04-06T04:16:51.007326Z" + "iopub.execute_input": "2024-04-06T04:34:05.901446Z", + "iopub.status.busy": "2024-04-06T04:34:05.901252Z", + "iopub.status.idle": "2024-04-06T04:34:05.905303Z", + "shell.execute_reply": "2024-04-06T04:34:05.904832Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:51.009845Z", - "iopub.status.busy": "2024-04-06T04:16:51.009540Z", - "iopub.status.idle": "2024-04-06T04:16:52.782092Z", - "shell.execute_reply": "2024-04-06T04:16:52.781517Z" + "iopub.execute_input": "2024-04-06T04:34:05.907229Z", + "iopub.status.busy": "2024-04-06T04:34:05.906935Z", + "iopub.status.idle": "2024-04-06T04:34:07.727455Z", + "shell.execute_reply": "2024-04-06T04:34:07.726870Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:52.784717Z", - "iopub.status.busy": "2024-04-06T04:16:52.784151Z", - "iopub.status.idle": "2024-04-06T04:16:52.792831Z", - "shell.execute_reply": "2024-04-06T04:16:52.792340Z" + "iopub.execute_input": "2024-04-06T04:34:07.730219Z", + "iopub.status.busy": "2024-04-06T04:34:07.729486Z", + "iopub.status.idle": "2024-04-06T04:34:07.737826Z", + "shell.execute_reply": "2024-04-06T04:34:07.737345Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:52.794793Z", - "iopub.status.busy": "2024-04-06T04:16:52.794582Z", - "iopub.status.idle": "2024-04-06T04:16:55.366851Z", - "shell.execute_reply": "2024-04-06T04:16:55.366274Z" + "iopub.execute_input": "2024-04-06T04:34:07.739895Z", + "iopub.status.busy": "2024-04-06T04:34:07.739580Z", + "iopub.status.idle": "2024-04-06T04:34:10.345477Z", + "shell.execute_reply": "2024-04-06T04:34:10.344972Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.369004Z", - "iopub.status.busy": "2024-04-06T04:16:55.368810Z", - "iopub.status.idle": "2024-04-06T04:16:55.372208Z", - "shell.execute_reply": "2024-04-06T04:16:55.371683Z" + "iopub.execute_input": "2024-04-06T04:34:10.347724Z", + "iopub.status.busy": "2024-04-06T04:34:10.347360Z", + "iopub.status.idle": "2024-04-06T04:34:10.351001Z", + "shell.execute_reply": "2024-04-06T04:34:10.350556Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.374049Z", - "iopub.status.busy": "2024-04-06T04:16:55.373882Z", - "iopub.status.idle": "2024-04-06T04:16:55.377805Z", - "shell.execute_reply": "2024-04-06T04:16:55.377374Z" + "iopub.execute_input": "2024-04-06T04:34:10.352909Z", + "iopub.status.busy": "2024-04-06T04:34:10.352732Z", + "iopub.status.idle": "2024-04-06T04:34:10.357176Z", + "shell.execute_reply": "2024-04-06T04:34:10.356760Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.379630Z", - "iopub.status.busy": "2024-04-06T04:16:55.379460Z", - "iopub.status.idle": "2024-04-06T04:16:55.382604Z", - "shell.execute_reply": "2024-04-06T04:16:55.382172Z" + "iopub.execute_input": "2024-04-06T04:34:10.359140Z", + "iopub.status.busy": "2024-04-06T04:34:10.358816Z", + "iopub.status.idle": "2024-04-06T04:34:10.361865Z", + "shell.execute_reply": "2024-04-06T04:34:10.361423Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index 4e7470bcf..a41b44c5c 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": "2024-04-06T04:16:57.779764Z", - "iopub.status.busy": "2024-04-06T04:16:57.779362Z", - "iopub.status.idle": "2024-04-06T04:16:58.917468Z", - "shell.execute_reply": "2024-04-06T04:16:58.916926Z" + "iopub.execute_input": "2024-04-06T04:34:12.844775Z", + "iopub.status.busy": "2024-04-06T04:34:12.844311Z", + "iopub.status.idle": "2024-04-06T04:34:13.980776Z", + "shell.execute_reply": "2024-04-06T04:34:13.980176Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:58.920171Z", - "iopub.status.busy": "2024-04-06T04:16:58.919730Z", - "iopub.status.idle": "2024-04-06T04:17:00.402818Z", - "shell.execute_reply": "2024-04-06T04:17:00.402146Z" + "iopub.execute_input": "2024-04-06T04:34:13.983263Z", + "iopub.status.busy": "2024-04-06T04:34:13.983016Z", + "iopub.status.idle": "2024-04-06T04:34:15.579622Z", + "shell.execute_reply": "2024-04-06T04:34:15.579010Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.405560Z", - "iopub.status.busy": "2024-04-06T04:17:00.405171Z", - "iopub.status.idle": "2024-04-06T04:17:00.408489Z", - "shell.execute_reply": "2024-04-06T04:17:00.408036Z" + "iopub.execute_input": "2024-04-06T04:34:15.582324Z", + "iopub.status.busy": "2024-04-06T04:34:15.581949Z", + "iopub.status.idle": "2024-04-06T04:34:15.585226Z", + "shell.execute_reply": "2024-04-06T04:34:15.584699Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.410471Z", - "iopub.status.busy": "2024-04-06T04:17:00.410144Z", - "iopub.status.idle": "2024-04-06T04:17:00.417033Z", - "shell.execute_reply": "2024-04-06T04:17:00.416605Z" + "iopub.execute_input": "2024-04-06T04:34:15.587256Z", + "iopub.status.busy": "2024-04-06T04:34:15.586885Z", + "iopub.status.idle": "2024-04-06T04:34:15.593670Z", + "shell.execute_reply": "2024-04-06T04:34:15.593228Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.418981Z", - "iopub.status.busy": "2024-04-06T04:17:00.418714Z", - "iopub.status.idle": "2024-04-06T04:17:00.912054Z", - "shell.execute_reply": "2024-04-06T04:17:00.911471Z" + "iopub.execute_input": "2024-04-06T04:34:15.595551Z", + "iopub.status.busy": "2024-04-06T04:34:15.595372Z", + "iopub.status.idle": "2024-04-06T04:34:16.077823Z", + "shell.execute_reply": "2024-04-06T04:34:16.077255Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.914527Z", - "iopub.status.busy": "2024-04-06T04:17:00.914334Z", - "iopub.status.idle": "2024-04-06T04:17:00.919763Z", - "shell.execute_reply": "2024-04-06T04:17:00.919333Z" + "iopub.execute_input": "2024-04-06T04:34:16.079945Z", + "iopub.status.busy": "2024-04-06T04:34:16.079765Z", + "iopub.status.idle": "2024-04-06T04:34:16.085000Z", + "shell.execute_reply": "2024-04-06T04:34:16.084559Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.921551Z", - "iopub.status.busy": "2024-04-06T04:17:00.921376Z", - "iopub.status.idle": "2024-04-06T04:17:00.925216Z", - "shell.execute_reply": "2024-04-06T04:17:00.924803Z" + "iopub.execute_input": "2024-04-06T04:34:16.086986Z", + "iopub.status.busy": "2024-04-06T04:34:16.086699Z", + "iopub.status.idle": "2024-04-06T04:34:16.090564Z", + "shell.execute_reply": "2024-04-06T04:34:16.090132Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.927291Z", - "iopub.status.busy": "2024-04-06T04:17:00.926918Z", - "iopub.status.idle": "2024-04-06T04:17:01.586996Z", - "shell.execute_reply": "2024-04-06T04:17:01.586405Z" + "iopub.execute_input": "2024-04-06T04:34:16.092402Z", + "iopub.status.busy": "2024-04-06T04:34:16.092226Z", + "iopub.status.idle": "2024-04-06T04:34:16.742313Z", + "shell.execute_reply": "2024-04-06T04:34:16.741698Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.589592Z", - "iopub.status.busy": "2024-04-06T04:17:01.589103Z", - "iopub.status.idle": "2024-04-06T04:17:01.838973Z", - "shell.execute_reply": "2024-04-06T04:17:01.838457Z" + "iopub.execute_input": "2024-04-06T04:34:16.744425Z", + "iopub.status.busy": "2024-04-06T04:34:16.744233Z", + "iopub.status.idle": "2024-04-06T04:34:16.915555Z", + "shell.execute_reply": "2024-04-06T04:34:16.915036Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.841138Z", - "iopub.status.busy": "2024-04-06T04:17:01.840761Z", - "iopub.status.idle": "2024-04-06T04:17:01.845105Z", - "shell.execute_reply": "2024-04-06T04:17:01.844587Z" + "iopub.execute_input": "2024-04-06T04:34:16.917406Z", + "iopub.status.busy": "2024-04-06T04:34:16.917231Z", + "iopub.status.idle": "2024-04-06T04:34:16.921449Z", + "shell.execute_reply": "2024-04-06T04:34:16.921026Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.847194Z", - "iopub.status.busy": "2024-04-06T04:17:01.846830Z", - "iopub.status.idle": "2024-04-06T04:17:02.307982Z", - "shell.execute_reply": "2024-04-06T04:17:02.307425Z" + "iopub.execute_input": "2024-04-06T04:34:16.923486Z", + "iopub.status.busy": "2024-04-06T04:34:16.923119Z", + "iopub.status.idle": "2024-04-06T04:34:17.368354Z", + "shell.execute_reply": "2024-04-06T04:34:17.367768Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.310165Z", - "iopub.status.busy": "2024-04-06T04:17:02.309824Z", - "iopub.status.idle": "2024-04-06T04:17:02.642945Z", - "shell.execute_reply": "2024-04-06T04:17:02.642387Z" + "iopub.execute_input": "2024-04-06T04:34:17.371163Z", + "iopub.status.busy": "2024-04-06T04:34:17.370822Z", + "iopub.status.idle": "2024-04-06T04:34:17.674268Z", + "shell.execute_reply": "2024-04-06T04:34:17.673692Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.645608Z", - "iopub.status.busy": "2024-04-06T04:17:02.645319Z", - "iopub.status.idle": "2024-04-06T04:17:02.979231Z", - "shell.execute_reply": "2024-04-06T04:17:02.978692Z" + "iopub.execute_input": "2024-04-06T04:34:17.676624Z", + "iopub.status.busy": "2024-04-06T04:34:17.676303Z", + "iopub.status.idle": "2024-04-06T04:34:18.037637Z", + "shell.execute_reply": "2024-04-06T04:34:18.037134Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.982484Z", - "iopub.status.busy": "2024-04-06T04:17:02.982127Z", - "iopub.status.idle": "2024-04-06T04:17:03.390843Z", - "shell.execute_reply": "2024-04-06T04:17:03.390270Z" + "iopub.execute_input": "2024-04-06T04:34:18.040616Z", + "iopub.status.busy": "2024-04-06T04:34:18.040298Z", + "iopub.status.idle": "2024-04-06T04:34:18.480221Z", + "shell.execute_reply": "2024-04-06T04:34:18.479710Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:03.395055Z", - "iopub.status.busy": "2024-04-06T04:17:03.394665Z", - "iopub.status.idle": "2024-04-06T04:17:03.813261Z", - "shell.execute_reply": "2024-04-06T04:17:03.812709Z" + "iopub.execute_input": "2024-04-06T04:34:18.484224Z", + "iopub.status.busy": "2024-04-06T04:34:18.483951Z", + "iopub.status.idle": "2024-04-06T04:34:18.910308Z", + "shell.execute_reply": "2024-04-06T04:34:18.909828Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:03.816607Z", - "iopub.status.busy": "2024-04-06T04:17:03.816267Z", - "iopub.status.idle": "2024-04-06T04:17:04.006027Z", - "shell.execute_reply": "2024-04-06T04:17:04.005432Z" + "iopub.execute_input": "2024-04-06T04:34:18.912281Z", + "iopub.status.busy": "2024-04-06T04:34:18.912098Z", + "iopub.status.idle": "2024-04-06T04:34:19.127034Z", + "shell.execute_reply": "2024-04-06T04:34:19.126447Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.008508Z", - "iopub.status.busy": "2024-04-06T04:17:04.008064Z", - "iopub.status.idle": "2024-04-06T04:17:04.193210Z", - "shell.execute_reply": "2024-04-06T04:17:04.192639Z" + "iopub.execute_input": "2024-04-06T04:34:19.129044Z", + "iopub.status.busy": "2024-04-06T04:34:19.128856Z", + "iopub.status.idle": "2024-04-06T04:34:19.327498Z", + "shell.execute_reply": "2024-04-06T04:34:19.327017Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.195887Z", - "iopub.status.busy": "2024-04-06T04:17:04.195463Z", - "iopub.status.idle": "2024-04-06T04:17:04.198586Z", - "shell.execute_reply": "2024-04-06T04:17:04.198082Z" + "iopub.execute_input": "2024-04-06T04:34:19.329747Z", + "iopub.status.busy": "2024-04-06T04:34:19.329569Z", + "iopub.status.idle": "2024-04-06T04:34:19.332430Z", + "shell.execute_reply": "2024-04-06T04:34:19.332000Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.200606Z", - "iopub.status.busy": "2024-04-06T04:17:04.200242Z", - "iopub.status.idle": "2024-04-06T04:17:05.172591Z", - "shell.execute_reply": "2024-04-06T04:17:05.172013Z" + "iopub.execute_input": "2024-04-06T04:34:19.334383Z", + "iopub.status.busy": "2024-04-06T04:34:19.334059Z", + "iopub.status.idle": "2024-04-06T04:34:20.209133Z", + "shell.execute_reply": "2024-04-06T04:34:20.208555Z" } }, "outputs": [ @@ -1101,14 +1101,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "./example_images/000000430073.jpg" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " | idx 100\n" + "./example_images/000000430073.jpg | idx 100\n" ] }, { @@ -1179,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.175404Z", - "iopub.status.busy": "2024-04-06T04:17:05.175059Z", - "iopub.status.idle": "2024-04-06T04:17:05.279492Z", - "shell.execute_reply": "2024-04-06T04:17:05.278947Z" + "iopub.execute_input": "2024-04-06T04:34:20.211448Z", + "iopub.status.busy": "2024-04-06T04:34:20.211008Z", + "iopub.status.idle": "2024-04-06T04:34:20.342519Z", + "shell.execute_reply": "2024-04-06T04:34:20.342095Z" } }, "outputs": [ @@ -1221,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.281714Z", - "iopub.status.busy": "2024-04-06T04:17:05.281381Z", - "iopub.status.idle": "2024-04-06T04:17:05.389641Z", - "shell.execute_reply": "2024-04-06T04:17:05.389153Z" + "iopub.execute_input": "2024-04-06T04:34:20.344524Z", + "iopub.status.busy": "2024-04-06T04:34:20.344193Z", + "iopub.status.idle": "2024-04-06T04:34:20.458465Z", + "shell.execute_reply": "2024-04-06T04:34:20.457952Z" } }, "outputs": [], @@ -1273,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.392001Z", - "iopub.status.busy": "2024-04-06T04:17:05.391816Z", - "iopub.status.idle": "2024-04-06T04:17:06.109074Z", - "shell.execute_reply": "2024-04-06T04:17:06.108500Z" + "iopub.execute_input": "2024-04-06T04:34:20.460533Z", + "iopub.status.busy": "2024-04-06T04:34:20.460222Z", + "iopub.status.idle": "2024-04-06T04:34:21.196312Z", + "shell.execute_reply": "2024-04-06T04:34:21.195737Z" } }, "outputs": [ @@ -1358,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:06.111397Z", - "iopub.status.busy": "2024-04-06T04:17:06.110954Z", - "iopub.status.idle": "2024-04-06T04:17:06.114735Z", - "shell.execute_reply": "2024-04-06T04:17:06.114197Z" + "iopub.execute_input": "2024-04-06T04:34:21.198485Z", + "iopub.status.busy": "2024-04-06T04:34:21.198170Z", + "iopub.status.idle": "2024-04-06T04:34:21.201764Z", + "shell.execute_reply": "2024-04-06T04:34:21.201234Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index 55bc06abd..dff88146d 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": "2024-04-06T04:17:08.332348Z", - "iopub.status.busy": "2024-04-06T04:17:08.332172Z", - "iopub.status.idle": "2024-04-06T04:17:11.067244Z", - "shell.execute_reply": "2024-04-06T04:17:11.066595Z" + "iopub.execute_input": "2024-04-06T04:34:23.301443Z", + "iopub.status.busy": "2024-04-06T04:34:23.301280Z", + "iopub.status.idle": "2024-04-06T04:34:25.945799Z", + "shell.execute_reply": "2024-04-06T04:34:25.945183Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:17:11.069992Z", - "iopub.status.busy": "2024-04-06T04:17:11.069428Z", - "iopub.status.idle": "2024-04-06T04:17:11.401104Z", - "shell.execute_reply": "2024-04-06T04:17:11.400569Z" + "iopub.execute_input": "2024-04-06T04:34:25.948528Z", + "iopub.status.busy": "2024-04-06T04:34:25.948218Z", + "iopub.status.idle": "2024-04-06T04:34:26.266936Z", + "shell.execute_reply": "2024-04-06T04:34:26.266392Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:11.403502Z", - "iopub.status.busy": "2024-04-06T04:17:11.403186Z", - "iopub.status.idle": "2024-04-06T04:17:11.407467Z", - "shell.execute_reply": "2024-04-06T04:17:11.407051Z" + "iopub.execute_input": "2024-04-06T04:34:26.269348Z", + "iopub.status.busy": "2024-04-06T04:34:26.269036Z", + "iopub.status.idle": "2024-04-06T04:34:26.272997Z", + "shell.execute_reply": "2024-04-06T04:34:26.272583Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:11.409521Z", - "iopub.status.busy": "2024-04-06T04:17:11.409185Z", - "iopub.status.idle": "2024-04-06T04:17:16.574565Z", - "shell.execute_reply": "2024-04-06T04:17:16.574059Z" + "iopub.execute_input": "2024-04-06T04:34:26.275074Z", + "iopub.status.busy": "2024-04-06T04:34:26.274739Z", + "iopub.status.idle": "2024-04-06T04:34:31.314624Z", + "shell.execute_reply": "2024-04-06T04:34:31.314110Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 2719744/170498071 [00:00<00:06, 27150858.36it/s]" + " 1%| | 1769472/170498071 [00:00<00:09, 17538639.93it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 14385152/170498071 [00:00<00:01, 79698911.13it/s]" + " 5%|▍ | 8192000/170498071 [00:00<00:03, 44831466.83it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 25985024/170498071 [00:00<00:01, 96219724.72it/s]" + " 8%|▊ | 13041664/170498071 [00:00<00:03, 46433907.51it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 37650432/170498071 [00:00<00:01, 104278791.75it/s]" + " 12%|█▏ | 19791872/170498071 [00:00<00:02, 54704480.34it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 49283072/170498071 [00:00<00:01, 108526944.35it/s]" + " 15%|█▌ | 25788416/170498071 [00:00<00:02, 56333002.76it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 60850176/170498071 [00:00<00:00, 110919928.74it/s]" + " 18%|█▊ | 31424512/170498071 [00:00<00:02, 55036228.43it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 72515584/170498071 [00:00<00:00, 112772522.55it/s]" + " 22%|██▏ | 37978112/170498071 [00:00<00:02, 58347764.86it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 84115456/170498071 [00:00<00:00, 113779771.17it/s]" + " 26%|██▌ | 43843584/170498071 [00:00<00:02, 56723331.51it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 95715328/170498071 [00:00<00:00, 114398601.27it/s]" + " 29%|██▉ | 49676288/170498071 [00:00<00:02, 57186066.18it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 107380736/170498071 [00:01<00:00, 115092493.28it/s]" + " 33%|███▎ | 56197120/170498071 [00:01<00:01, 59520956.47it/s]" ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|██████▉ | 118980608/170498071 [00:01<00:00, 115340861.91it/s]" + " 36%|███▋ | 62193664/170498071 [00:01<00:01, 55914267.41it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 130613248/170498071 [00:01<00:00, 115637259.98it/s]" + " 40%|████ | 68943872/170498071 [00:01<00:01, 59219350.19it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-06T04:17:16.576690Z", - "iopub.status.busy": "2024-04-06T04:17:16.576423Z", - "iopub.status.idle": "2024-04-06T04:17:16.580993Z", - "shell.execute_reply": "2024-04-06T04:17:16.580566Z" + "iopub.execute_input": "2024-04-06T04:34:31.316844Z", + "iopub.status.busy": "2024-04-06T04:34:31.316485Z", + "iopub.status.idle": "2024-04-06T04:34:31.321190Z", + "shell.execute_reply": "2024-04-06T04:34:31.320736Z" }, "nbsphinx": "hidden" }, @@ -544,10 +600,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:16.583051Z", - "iopub.status.busy": "2024-04-06T04:17:16.582688Z", - "iopub.status.idle": "2024-04-06T04:17:17.128244Z", - "shell.execute_reply": "2024-04-06T04:17:17.127732Z" + "iopub.execute_input": "2024-04-06T04:34:31.323414Z", + "iopub.status.busy": "2024-04-06T04:34:31.323024Z", + "iopub.status.idle": "2024-04-06T04:34:31.843073Z", + "shell.execute_reply": "2024-04-06T04:34:31.842461Z" } }, "outputs": [ @@ -580,10 +636,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.130361Z", - "iopub.status.busy": "2024-04-06T04:17:17.130041Z", - "iopub.status.idle": "2024-04-06T04:17:17.628711Z", - "shell.execute_reply": "2024-04-06T04:17:17.628136Z" + "iopub.execute_input": "2024-04-06T04:34:31.845476Z", + "iopub.status.busy": "2024-04-06T04:34:31.845122Z", + "iopub.status.idle": "2024-04-06T04:34:32.343468Z", + "shell.execute_reply": "2024-04-06T04:34:32.342863Z" } }, "outputs": [ @@ -621,10 +677,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.631026Z", - "iopub.status.busy": "2024-04-06T04:17:17.630590Z", - "iopub.status.idle": "2024-04-06T04:17:17.634166Z", - "shell.execute_reply": "2024-04-06T04:17:17.633631Z" + "iopub.execute_input": "2024-04-06T04:34:32.345737Z", + "iopub.status.busy": "2024-04-06T04:34:32.345520Z", + "iopub.status.idle": "2024-04-06T04:34:32.349079Z", + "shell.execute_reply": "2024-04-06T04:34:32.348636Z" } }, "outputs": [], @@ -647,17 +703,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.636095Z", - "iopub.status.busy": "2024-04-06T04:17:17.635918Z", - "iopub.status.idle": "2024-04-06T04:17:29.942716Z", - "shell.execute_reply": "2024-04-06T04:17:29.942087Z" + "iopub.execute_input": "2024-04-06T04:34:32.351161Z", + "iopub.status.busy": "2024-04-06T04:34:32.350840Z", + "iopub.status.idle": "2024-04-06T04:34:45.259522Z", + "shell.execute_reply": "2024-04-06T04:34:45.258934Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "44ee01f7f7be41e68df2da15ba015dda", + "model_id": "991b461cb5f14fa38412734f4f788575", "version_major": 2, "version_minor": 0 }, @@ -716,10 +772,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:29.945101Z", - "iopub.status.busy": "2024-04-06T04:17:29.944777Z", - "iopub.status.idle": "2024-04-06T04:17:31.687463Z", - "shell.execute_reply": "2024-04-06T04:17:31.686934Z" + "iopub.execute_input": "2024-04-06T04:34:45.261911Z", + "iopub.status.busy": "2024-04-06T04:34:45.261529Z", + "iopub.status.idle": "2024-04-06T04:34:46.966878Z", + "shell.execute_reply": "2024-04-06T04:34:46.966282Z" } }, "outputs": [ @@ -763,10 +819,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:31.690226Z", - "iopub.status.busy": "2024-04-06T04:17:31.689730Z", - "iopub.status.idle": "2024-04-06T04:17:31.946394Z", - "shell.execute_reply": "2024-04-06T04:17:31.945880Z" + "iopub.execute_input": "2024-04-06T04:34:46.969590Z", + "iopub.status.busy": "2024-04-06T04:34:46.969163Z", + "iopub.status.idle": "2024-04-06T04:34:47.194956Z", + "shell.execute_reply": "2024-04-06T04:34:47.194388Z" } }, "outputs": [ @@ -802,10 +858,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:31.949014Z", - "iopub.status.busy": "2024-04-06T04:17:31.948523Z", - "iopub.status.idle": "2024-04-06T04:17:32.616423Z", - "shell.execute_reply": "2024-04-06T04:17:32.615855Z" + "iopub.execute_input": "2024-04-06T04:34:47.197286Z", + "iopub.status.busy": "2024-04-06T04:34:47.197100Z", + "iopub.status.idle": "2024-04-06T04:34:47.844542Z", + "shell.execute_reply": "2024-04-06T04:34:47.843965Z" } }, "outputs": [ @@ -855,10 +911,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:32.619435Z", - "iopub.status.busy": "2024-04-06T04:17:32.618930Z", - "iopub.status.idle": "2024-04-06T04:17:32.960383Z", - "shell.execute_reply": "2024-04-06T04:17:32.959887Z" + "iopub.execute_input": "2024-04-06T04:34:47.847025Z", + "iopub.status.busy": "2024-04-06T04:34:47.846663Z", + "iopub.status.idle": "2024-04-06T04:34:48.133586Z", + "shell.execute_reply": "2024-04-06T04:34:48.133164Z" } }, "outputs": [ @@ -906,10 +962,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:32.962638Z", - "iopub.status.busy": "2024-04-06T04:17:32.962284Z", - "iopub.status.idle": "2024-04-06T04:17:33.209463Z", - "shell.execute_reply": "2024-04-06T04:17:33.208824Z" + "iopub.execute_input": "2024-04-06T04:34:48.135743Z", + "iopub.status.busy": "2024-04-06T04:34:48.135451Z", + "iopub.status.idle": "2024-04-06T04:34:48.362823Z", + "shell.execute_reply": "2024-04-06T04:34:48.362258Z" } }, "outputs": [ @@ -965,10 +1021,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:33.212321Z", - "iopub.status.busy": "2024-04-06T04:17:33.211889Z", - "iopub.status.idle": "2024-04-06T04:17:33.296629Z", - "shell.execute_reply": "2024-04-06T04:17:33.296153Z" + "iopub.execute_input": "2024-04-06T04:34:48.365290Z", + "iopub.status.busy": "2024-04-06T04:34:48.364817Z", + "iopub.status.idle": "2024-04-06T04:34:48.441430Z", + "shell.execute_reply": "2024-04-06T04:34:48.440837Z" } }, "outputs": [], @@ -989,10 +1045,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:33.298986Z", - "iopub.status.busy": "2024-04-06T04:17:33.298637Z", - "iopub.status.idle": "2024-04-06T04:17:43.478524Z", - "shell.execute_reply": "2024-04-06T04:17:43.477922Z" + "iopub.execute_input": "2024-04-06T04:34:48.444056Z", + "iopub.status.busy": "2024-04-06T04:34:48.443776Z", + "iopub.status.idle": "2024-04-06T04:34:58.624130Z", + "shell.execute_reply": "2024-04-06T04:34:58.623554Z" } }, "outputs": [ @@ -1029,10 +1085,10 @@ "id": "874c885a", "metadata": { "execution": { - 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"f09d11078deb4890b9b29821b9e7abb1": { + "ad6af0ebf6a84194902f8859297785ed": { + "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": "" + } + }, + "dc69440eba354ce18f5a8f226872b05a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index 12155c733..bac3e263c 100644 --- a/master/.doctrees/nbsphinx/tutorials/regression.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:49.808502Z", - "iopub.status.busy": "2024-04-06T04:17:49.808333Z", - "iopub.status.idle": "2024-04-06T04:17:50.938302Z", - "shell.execute_reply": "2024-04-06T04:17:50.937783Z" + "iopub.execute_input": "2024-04-06T04:35:04.945916Z", + "iopub.status.busy": "2024-04-06T04:35:04.945744Z", + "iopub.status.idle": "2024-04-06T04:35:06.052331Z", + "shell.execute_reply": "2024-04-06T04:35:06.051744Z" }, "nbsphinx": "hidden" }, @@ -117,7 +117,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -143,10 +143,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.940835Z", - "iopub.status.busy": "2024-04-06T04:17:50.940476Z", - "iopub.status.idle": "2024-04-06T04:17:50.957880Z", - "shell.execute_reply": "2024-04-06T04:17:50.957193Z" + "iopub.execute_input": "2024-04-06T04:35:06.054800Z", + "iopub.status.busy": "2024-04-06T04:35:06.054557Z", + "iopub.status.idle": "2024-04-06T04:35:06.072120Z", + "shell.execute_reply": "2024-04-06T04:35:06.071716Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.960308Z", - "iopub.status.busy": "2024-04-06T04:17:50.959904Z", - "iopub.status.idle": "2024-04-06T04:17:50.962814Z", - "shell.execute_reply": "2024-04-06T04:17:50.962356Z" + "iopub.execute_input": "2024-04-06T04:35:06.074202Z", + "iopub.status.busy": "2024-04-06T04:35:06.073811Z", + "iopub.status.idle": "2024-04-06T04:35:06.076794Z", + "shell.execute_reply": "2024-04-06T04:35:06.076351Z" }, "nbsphinx": "hidden" }, @@ -199,10 +199,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.964843Z", - "iopub.status.busy": "2024-04-06T04:17:50.964451Z", - "iopub.status.idle": "2024-04-06T04:17:51.055914Z", - "shell.execute_reply": "2024-04-06T04:17:51.055379Z" + "iopub.execute_input": "2024-04-06T04:35:06.078868Z", + "iopub.status.busy": "2024-04-06T04:35:06.078492Z", + "iopub.status.idle": "2024-04-06T04:35:06.208916Z", + "shell.execute_reply": "2024-04-06T04:35:06.208494Z" } }, "outputs": [ @@ -375,10 +375,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.058209Z", - "iopub.status.busy": "2024-04-06T04:17:51.057898Z", - "iopub.status.idle": "2024-04-06T04:17:51.238376Z", - "shell.execute_reply": "2024-04-06T04:17:51.237789Z" + "iopub.execute_input": "2024-04-06T04:35:06.211100Z", + "iopub.status.busy": "2024-04-06T04:35:06.210666Z", + "iopub.status.idle": "2024-04-06T04:35:06.392965Z", + "shell.execute_reply": "2024-04-06T04:35:06.392412Z" }, "nbsphinx": "hidden" }, @@ -418,10 +418,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.241000Z", - "iopub.status.busy": "2024-04-06T04:17:51.240573Z", - "iopub.status.idle": "2024-04-06T04:17:51.480475Z", - "shell.execute_reply": "2024-04-06T04:17:51.479935Z" + "iopub.execute_input": "2024-04-06T04:35:06.395403Z", + "iopub.status.busy": "2024-04-06T04:35:06.395013Z", + "iopub.status.idle": "2024-04-06T04:35:06.638949Z", + "shell.execute_reply": "2024-04-06T04:35:06.638348Z" } }, "outputs": [ @@ -457,10 +457,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.482794Z", - "iopub.status.busy": "2024-04-06T04:17:51.482431Z", - "iopub.status.idle": "2024-04-06T04:17:51.486805Z", - "shell.execute_reply": "2024-04-06T04:17:51.486258Z" + "iopub.execute_input": "2024-04-06T04:35:06.641297Z", + "iopub.status.busy": "2024-04-06T04:35:06.640953Z", + "iopub.status.idle": "2024-04-06T04:35:06.645580Z", + "shell.execute_reply": "2024-04-06T04:35:06.645032Z" } }, "outputs": [], @@ -478,10 +478,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.488855Z", - "iopub.status.busy": "2024-04-06T04:17:51.488525Z", - "iopub.status.idle": "2024-04-06T04:17:51.494877Z", - "shell.execute_reply": "2024-04-06T04:17:51.494412Z" + "iopub.execute_input": "2024-04-06T04:35:06.647781Z", + "iopub.status.busy": "2024-04-06T04:35:06.647427Z", + "iopub.status.idle": "2024-04-06T04:35:06.654351Z", + "shell.execute_reply": "2024-04-06T04:35:06.653847Z" } }, "outputs": [], @@ -528,10 +528,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.496834Z", - "iopub.status.busy": "2024-04-06T04:17:51.496663Z", - "iopub.status.idle": "2024-04-06T04:17:51.499175Z", - "shell.execute_reply": "2024-04-06T04:17:51.498746Z" + "iopub.execute_input": "2024-04-06T04:35:06.656526Z", + "iopub.status.busy": "2024-04-06T04:35:06.656127Z", + "iopub.status.idle": "2024-04-06T04:35:06.658766Z", + "shell.execute_reply": "2024-04-06T04:35:06.658318Z" } }, "outputs": [], @@ -546,10 +546,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.501146Z", - "iopub.status.busy": "2024-04-06T04:17:51.500827Z", - "iopub.status.idle": "2024-04-06T04:17:59.701511Z", - "shell.execute_reply": "2024-04-06T04:17:59.700993Z" + "iopub.execute_input": "2024-04-06T04:35:06.660791Z", + "iopub.status.busy": "2024-04-06T04:35:06.660469Z", + "iopub.status.idle": "2024-04-06T04:35:14.877273Z", + "shell.execute_reply": "2024-04-06T04:35:14.876740Z" } }, "outputs": [], @@ -573,10 +573,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.704325Z", - "iopub.status.busy": "2024-04-06T04:17:59.703744Z", - "iopub.status.idle": "2024-04-06T04:17:59.711002Z", - "shell.execute_reply": "2024-04-06T04:17:59.710577Z" + "iopub.execute_input": "2024-04-06T04:35:14.880136Z", + "iopub.status.busy": "2024-04-06T04:35:14.879546Z", + "iopub.status.idle": "2024-04-06T04:35:14.886452Z", + "shell.execute_reply": "2024-04-06T04:35:14.885981Z" } }, "outputs": [ @@ -679,10 +679,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.712952Z", - "iopub.status.busy": "2024-04-06T04:17:59.712668Z", - "iopub.status.idle": "2024-04-06T04:17:59.716246Z", - "shell.execute_reply": "2024-04-06T04:17:59.715722Z" + "iopub.execute_input": "2024-04-06T04:35:14.888384Z", + "iopub.status.busy": "2024-04-06T04:35:14.888208Z", + "iopub.status.idle": "2024-04-06T04:35:14.891854Z", + "shell.execute_reply": "2024-04-06T04:35:14.891406Z" } }, "outputs": [], @@ -697,10 +697,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.718341Z", - "iopub.status.busy": "2024-04-06T04:17:59.718012Z", - "iopub.status.idle": "2024-04-06T04:17:59.720948Z", - "shell.execute_reply": "2024-04-06T04:17:59.720455Z" + "iopub.execute_input": "2024-04-06T04:35:14.893970Z", + "iopub.status.busy": "2024-04-06T04:35:14.893580Z", + "iopub.status.idle": "2024-04-06T04:35:14.896696Z", + "shell.execute_reply": "2024-04-06T04:35:14.896194Z" } }, "outputs": [ @@ -735,10 +735,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.723004Z", - "iopub.status.busy": "2024-04-06T04:17:59.722690Z", - "iopub.status.idle": "2024-04-06T04:17:59.725674Z", - "shell.execute_reply": "2024-04-06T04:17:59.725233Z" + "iopub.execute_input": "2024-04-06T04:35:14.898553Z", + "iopub.status.busy": "2024-04-06T04:35:14.898382Z", + "iopub.status.idle": "2024-04-06T04:35:14.901388Z", + "shell.execute_reply": "2024-04-06T04:35:14.900951Z" } }, "outputs": [], @@ -757,10 +757,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.727583Z", - "iopub.status.busy": "2024-04-06T04:17:59.727268Z", - "iopub.status.idle": "2024-04-06T04:17:59.735001Z", - "shell.execute_reply": "2024-04-06T04:17:59.734458Z" + "iopub.execute_input": "2024-04-06T04:35:14.903150Z", + "iopub.status.busy": "2024-04-06T04:35:14.902982Z", + "iopub.status.idle": "2024-04-06T04:35:14.910845Z", + "shell.execute_reply": "2024-04-06T04:35:14.910300Z" } }, "outputs": [ @@ -884,10 +884,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.737149Z", - "iopub.status.busy": "2024-04-06T04:17:59.736738Z", - "iopub.status.idle": "2024-04-06T04:17:59.739425Z", - "shell.execute_reply": "2024-04-06T04:17:59.738895Z" + "iopub.execute_input": "2024-04-06T04:35:14.912783Z", + "iopub.status.busy": "2024-04-06T04:35:14.912607Z", + "iopub.status.idle": "2024-04-06T04:35:14.915272Z", + "shell.execute_reply": "2024-04-06T04:35:14.914817Z" }, "nbsphinx": "hidden" }, @@ -922,10 +922,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.741379Z", - "iopub.status.busy": "2024-04-06T04:17:59.741083Z", - "iopub.status.idle": "2024-04-06T04:17:59.861150Z", - "shell.execute_reply": "2024-04-06T04:17:59.860591Z" + "iopub.execute_input": "2024-04-06T04:35:14.917066Z", + "iopub.status.busy": "2024-04-06T04:35:14.916896Z", + "iopub.status.idle": "2024-04-06T04:35:15.039512Z", + "shell.execute_reply": "2024-04-06T04:35:15.038973Z" } }, "outputs": [ @@ -964,10 +964,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.863473Z", - "iopub.status.busy": "2024-04-06T04:17:59.863158Z", - "iopub.status.idle": "2024-04-06T04:17:59.966536Z", - "shell.execute_reply": "2024-04-06T04:17:59.965985Z" + "iopub.execute_input": "2024-04-06T04:35:15.041688Z", + "iopub.status.busy": "2024-04-06T04:35:15.041372Z", + "iopub.status.idle": "2024-04-06T04:35:15.143758Z", + "shell.execute_reply": "2024-04-06T04:35:15.143187Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.969085Z", - "iopub.status.busy": "2024-04-06T04:17:59.968712Z", - "iopub.status.idle": "2024-04-06T04:18:00.472645Z", - "shell.execute_reply": "2024-04-06T04:18:00.472029Z" + "iopub.execute_input": "2024-04-06T04:35:15.146009Z", + "iopub.status.busy": "2024-04-06T04:35:15.145689Z", + "iopub.status.idle": "2024-04-06T04:35:15.632674Z", + "shell.execute_reply": "2024-04-06T04:35:15.632055Z" } }, "outputs": [], @@ -1042,10 +1042,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:00.475278Z", - "iopub.status.busy": "2024-04-06T04:18:00.474898Z", - "iopub.status.idle": "2024-04-06T04:18:00.577317Z", - "shell.execute_reply": "2024-04-06T04:18:00.576734Z" + "iopub.execute_input": "2024-04-06T04:35:15.635337Z", + "iopub.status.busy": "2024-04-06T04:35:15.634992Z", + "iopub.status.idle": "2024-04-06T04:35:15.743506Z", + "shell.execute_reply": "2024-04-06T04:35:15.742910Z" } }, "outputs": [ @@ -1080,10 +1080,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:00.579693Z", - "iopub.status.busy": "2024-04-06T04:18:00.579312Z", - "iopub.status.idle": "2024-04-06T04:18:00.587971Z", - "shell.execute_reply": "2024-04-06T04:18:00.587553Z" + "iopub.execute_input": "2024-04-06T04:35:15.745851Z", + "iopub.status.busy": "2024-04-06T04:35:15.745490Z", + "iopub.status.idle": "2024-04-06T04:35:15.753696Z", + "shell.execute_reply": "2024-04-06T04:35:15.753263Z" } }, "outputs": [ @@ -1190,10 +1190,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:00.589999Z", - "iopub.status.busy": "2024-04-06T04:18:00.589674Z", - "iopub.status.idle": "2024-04-06T04:18:00.592366Z", - "shell.execute_reply": "2024-04-06T04:18:00.591928Z" + "iopub.execute_input": "2024-04-06T04:35:15.755695Z", + "iopub.status.busy": "2024-04-06T04:35:15.755367Z", + "iopub.status.idle": "2024-04-06T04:35:15.758042Z", + "shell.execute_reply": "2024-04-06T04:35:15.757595Z" }, "nbsphinx": "hidden" }, @@ -1218,10 +1218,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:00.594344Z", - "iopub.status.busy": "2024-04-06T04:18:00.593958Z", - "iopub.status.idle": "2024-04-06T04:18:06.032480Z", - "shell.execute_reply": "2024-04-06T04:18:06.031916Z" + "iopub.execute_input": "2024-04-06T04:35:15.760007Z", + "iopub.status.busy": "2024-04-06T04:35:15.759679Z", + "iopub.status.idle": "2024-04-06T04:35:21.169503Z", + "shell.execute_reply": "2024-04-06T04:35:21.168860Z" } }, "outputs": [ @@ -1265,10 +1265,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:06.034781Z", - "iopub.status.busy": "2024-04-06T04:18:06.034431Z", - "iopub.status.idle": "2024-04-06T04:18:06.043093Z", - "shell.execute_reply": "2024-04-06T04:18:06.042679Z" + "iopub.execute_input": "2024-04-06T04:35:21.172001Z", + "iopub.status.busy": "2024-04-06T04:35:21.171800Z", + "iopub.status.idle": "2024-04-06T04:35:21.180339Z", + "shell.execute_reply": "2024-04-06T04:35:21.179868Z" } }, "outputs": [ @@ -1377,10 +1377,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:06.045152Z", - "iopub.status.busy": "2024-04-06T04:18:06.044842Z", - "iopub.status.idle": "2024-04-06T04:18:06.113165Z", - "shell.execute_reply": "2024-04-06T04:18:06.112584Z" + "iopub.execute_input": "2024-04-06T04:35:21.182362Z", + "iopub.status.busy": "2024-04-06T04:35:21.182047Z", + "iopub.status.idle": "2024-04-06T04:35:21.256060Z", + "shell.execute_reply": "2024-04-06T04:35:21.255579Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index 2aa4f5141..89e2cb219 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": "2024-04-06T04:18:09.136176Z", - "iopub.status.busy": "2024-04-06T04:18:09.136007Z", - "iopub.status.idle": "2024-04-06T04:18:11.074442Z", - "shell.execute_reply": "2024-04-06T04:18:11.073722Z" + "iopub.execute_input": "2024-04-06T04:35:24.243928Z", + "iopub.status.busy": "2024-04-06T04:35:24.243468Z", + "iopub.status.idle": "2024-04-06T04:35:26.047952Z", + "shell.execute_reply": "2024-04-06T04:35:26.047292Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:11.077142Z", - "iopub.status.busy": "2024-04-06T04:18:11.076951Z", - "iopub.status.idle": "2024-04-06T04:18:58.504072Z", - "shell.execute_reply": "2024-04-06T04:18:58.503451Z" + "iopub.execute_input": "2024-04-06T04:35:26.050495Z", + "iopub.status.busy": "2024-04-06T04:35:26.050118Z", + "iopub.status.idle": "2024-04-06T04:36:08.935704Z", + "shell.execute_reply": "2024-04-06T04:36:08.935125Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:58.506581Z", - "iopub.status.busy": "2024-04-06T04:18:58.506181Z", - "iopub.status.idle": "2024-04-06T04:18:59.586152Z", - "shell.execute_reply": "2024-04-06T04:18:59.585563Z" + "iopub.execute_input": "2024-04-06T04:36:08.938332Z", + "iopub.status.busy": "2024-04-06T04:36:08.937887Z", + "iopub.status.idle": "2024-04-06T04:36:09.999880Z", + "shell.execute_reply": "2024-04-06T04:36:09.999323Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:18:59.588721Z", - "iopub.status.busy": "2024-04-06T04:18:59.588437Z", - "iopub.status.idle": "2024-04-06T04:18:59.591702Z", - "shell.execute_reply": "2024-04-06T04:18:59.591184Z" + "iopub.execute_input": "2024-04-06T04:36:10.002451Z", + "iopub.status.busy": "2024-04-06T04:36:10.002049Z", + "iopub.status.idle": "2024-04-06T04:36:10.005300Z", + "shell.execute_reply": "2024-04-06T04:36:10.004764Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.593851Z", - "iopub.status.busy": "2024-04-06T04:18:59.593529Z", - "iopub.status.idle": "2024-04-06T04:18:59.597220Z", - "shell.execute_reply": "2024-04-06T04:18:59.596787Z" + "iopub.execute_input": "2024-04-06T04:36:10.007484Z", + "iopub.status.busy": "2024-04-06T04:36:10.007053Z", + "iopub.status.idle": "2024-04-06T04:36:10.010737Z", + "shell.execute_reply": "2024-04-06T04:36:10.010232Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.599215Z", - "iopub.status.busy": "2024-04-06T04:18:59.598912Z", - "iopub.status.idle": "2024-04-06T04:18:59.602294Z", - "shell.execute_reply": "2024-04-06T04:18:59.601883Z" + "iopub.execute_input": "2024-04-06T04:36:10.012726Z", + "iopub.status.busy": "2024-04-06T04:36:10.012460Z", + "iopub.status.idle": "2024-04-06T04:36:10.016097Z", + "shell.execute_reply": "2024-04-06T04:36:10.015646Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.604288Z", - "iopub.status.busy": "2024-04-06T04:18:59.603975Z", - "iopub.status.idle": "2024-04-06T04:18:59.606581Z", - "shell.execute_reply": "2024-04-06T04:18:59.606178Z" + "iopub.execute_input": "2024-04-06T04:36:10.018111Z", + "iopub.status.busy": "2024-04-06T04:36:10.017712Z", + "iopub.status.idle": "2024-04-06T04:36:10.020470Z", + "shell.execute_reply": "2024-04-06T04:36:10.020044Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.608476Z", - "iopub.status.busy": "2024-04-06T04:18:59.608219Z", - "iopub.status.idle": "2024-04-06T04:20:14.384993Z", - "shell.execute_reply": "2024-04-06T04:20:14.384347Z" + "iopub.execute_input": "2024-04-06T04:36:10.022477Z", + "iopub.status.busy": "2024-04-06T04:36:10.022151Z", + "iopub.status.idle": "2024-04-06T04:37:25.589281Z", + "shell.execute_reply": "2024-04-06T04:37:25.588682Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "915045c266014b50aa25fe51d11426f0", + "model_id": "430f85b602e34595b215cff777f2e22c", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "af131beb047e4f4aa72b9e8100198f5d", + "model_id": "72840f69ea214918a754b98c138bcd01", "version_major": 2, "version_minor": 0 }, @@ -400,10 +400,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:20:14.387966Z", - 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"iopub.execute_input": "2024-04-06T04:21:18.815482Z", - "iopub.status.busy": "2024-04-06T04:21:18.815069Z", - "iopub.status.idle": "2024-04-06T04:21:20.147463Z", - "shell.execute_reply": "2024-04-06T04:21:20.146792Z" + "iopub.execute_input": "2024-04-06T04:38:29.398070Z", + "iopub.status.busy": "2024-04-06T04:38:29.397578Z", + "iopub.status.idle": "2024-04-06T04:38:30.762030Z", + "shell.execute_reply": "2024-04-06T04:38:30.761463Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-06 04:21:18-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-04-06 04:38:29-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,24 +94,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "185.93.1.250, 2400:52e0:1a00::941:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.\r\n", + "169.150.236.98, 2400:52e0:1a00::718:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.98|: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", "\r", - "conll2003.zip 0%[ ] 0 --.-KB/s \r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.008s \r\n", - "\r\n", - "2024-04-06 04:21:19 (115 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", - "\r\n" + "conll2003.zip 0%[ ] 0 --.-KB/s " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\r", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.04s \r\n", + "\r\n", + "2024-04-06 04:38:29 (22.5 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] }, @@ -130,9 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-06 04:21:19-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.167.97, 3.5.28.226, 52.217.226.9, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.167.97|:443... connected.\r\n" + "--2024-04-06 04:38:30-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.217.84.148, 52.216.129.163, 52.217.231.17, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.217.84.148|:443... " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "connected.\r\n" ] }, { @@ -159,7 +167,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 23%[===> ] 3.86M 19.3MB/s " + "pred_probs.npz 14%[=> ] 2.33M 11.7MB/s " ] }, { @@ -167,9 +175,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M 50.8MB/s in 0.3s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 46.9MB/s in 0.3s \r\n", "\r\n", - "2024-04-06 04:21:20 (50.8 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-06 04:38:30 (46.9 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -186,10 +194,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:20.150071Z", - "iopub.status.busy": "2024-04-06T04:21:20.149872Z", - "iopub.status.idle": "2024-04-06T04:21:21.460595Z", - "shell.execute_reply": "2024-04-06T04:21:21.459998Z" + "iopub.execute_input": "2024-04-06T04:38:30.764412Z", + "iopub.status.busy": "2024-04-06T04:38:30.764032Z", + "iopub.status.idle": "2024-04-06T04:38:31.972111Z", + "shell.execute_reply": "2024-04-06T04:38:31.971535Z" }, "nbsphinx": "hidden" }, @@ -200,7 +208,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -226,10 +234,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.463318Z", - "iopub.status.busy": "2024-04-06T04:21:21.462904Z", - "iopub.status.idle": "2024-04-06T04:21:21.466277Z", - "shell.execute_reply": "2024-04-06T04:21:21.465836Z" + "iopub.execute_input": "2024-04-06T04:38:31.974580Z", + "iopub.status.busy": "2024-04-06T04:38:31.974308Z", + "iopub.status.idle": "2024-04-06T04:38:31.977556Z", + "shell.execute_reply": "2024-04-06T04:38:31.977128Z" } }, "outputs": [], @@ -279,10 +287,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.468133Z", - "iopub.status.busy": "2024-04-06T04:21:21.467961Z", - "iopub.status.idle": "2024-04-06T04:21:21.470821Z", - "shell.execute_reply": "2024-04-06T04:21:21.470387Z" + "iopub.execute_input": "2024-04-06T04:38:31.979700Z", + "iopub.status.busy": "2024-04-06T04:38:31.979317Z", + "iopub.status.idle": "2024-04-06T04:38:31.982377Z", + "shell.execute_reply": "2024-04-06T04:38:31.981830Z" }, "nbsphinx": "hidden" }, @@ -300,10 +308,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.472776Z", - "iopub.status.busy": "2024-04-06T04:21:21.472453Z", - "iopub.status.idle": "2024-04-06T04:21:30.680472Z", - "shell.execute_reply": "2024-04-06T04:21:30.679868Z" + "iopub.execute_input": "2024-04-06T04:38:31.984377Z", + "iopub.status.busy": "2024-04-06T04:38:31.984017Z", + "iopub.status.idle": "2024-04-06T04:38:41.053110Z", + "shell.execute_reply": "2024-04-06T04:38:41.052521Z" } }, "outputs": [], @@ -377,10 +385,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:30.683031Z", - "iopub.status.busy": "2024-04-06T04:21:30.682707Z", - "iopub.status.idle": "2024-04-06T04:21:30.688231Z", - "shell.execute_reply": "2024-04-06T04:21:30.687711Z" + "iopub.execute_input": "2024-04-06T04:38:41.055687Z", + "iopub.status.busy": "2024-04-06T04:38:41.055498Z", + "iopub.status.idle": "2024-04-06T04:38:41.061081Z", + "shell.execute_reply": "2024-04-06T04:38:41.060531Z" }, "nbsphinx": "hidden" }, @@ -420,10 +428,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:30.690240Z", - "iopub.status.busy": "2024-04-06T04:21:30.689862Z", - "iopub.status.idle": "2024-04-06T04:21:31.036172Z", - "shell.execute_reply": "2024-04-06T04:21:31.035483Z" + "iopub.execute_input": "2024-04-06T04:38:41.063230Z", + "iopub.status.busy": "2024-04-06T04:38:41.062809Z", + "iopub.status.idle": "2024-04-06T04:38:41.426124Z", + "shell.execute_reply": "2024-04-06T04:38:41.425590Z" } }, "outputs": [], @@ -460,10 +468,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:31.038675Z", - "iopub.status.busy": "2024-04-06T04:21:31.038461Z", - "iopub.status.idle": "2024-04-06T04:21:31.042956Z", - "shell.execute_reply": "2024-04-06T04:21:31.042398Z" + "iopub.execute_input": "2024-04-06T04:38:41.428511Z", + "iopub.status.busy": "2024-04-06T04:38:41.428316Z", + "iopub.status.idle": "2024-04-06T04:38:41.432566Z", + "shell.execute_reply": "2024-04-06T04:38:41.432029Z" } }, "outputs": [ @@ -535,10 +543,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:31.045119Z", - "iopub.status.busy": "2024-04-06T04:21:31.044811Z", - "iopub.status.idle": "2024-04-06T04:21:33.441748Z", - "shell.execute_reply": "2024-04-06T04:21:33.441118Z" + "iopub.execute_input": "2024-04-06T04:38:41.434828Z", + "iopub.status.busy": "2024-04-06T04:38:41.434438Z", + "iopub.status.idle": "2024-04-06T04:38:43.797032Z", + "shell.execute_reply": "2024-04-06T04:38:43.796336Z" } }, "outputs": [], @@ -560,10 +568,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.444867Z", - "iopub.status.busy": "2024-04-06T04:21:33.444063Z", - "iopub.status.idle": "2024-04-06T04:21:33.448146Z", - "shell.execute_reply": "2024-04-06T04:21:33.447602Z" + "iopub.execute_input": "2024-04-06T04:38:43.800002Z", + "iopub.status.busy": "2024-04-06T04:38:43.799357Z", + "iopub.status.idle": "2024-04-06T04:38:43.803395Z", + "shell.execute_reply": "2024-04-06T04:38:43.802849Z" } }, "outputs": [ @@ -599,10 +607,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.450036Z", - "iopub.status.busy": "2024-04-06T04:21:33.449863Z", - "iopub.status.idle": "2024-04-06T04:21:33.455276Z", - "shell.execute_reply": "2024-04-06T04:21:33.454729Z" + "iopub.execute_input": "2024-04-06T04:38:43.805438Z", + "iopub.status.busy": "2024-04-06T04:38:43.805041Z", + "iopub.status.idle": "2024-04-06T04:38:43.810204Z", + "shell.execute_reply": "2024-04-06T04:38:43.809632Z" } }, "outputs": [ @@ -780,10 +788,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.457279Z", - "iopub.status.busy": "2024-04-06T04:21:33.456977Z", - "iopub.status.idle": "2024-04-06T04:21:33.483175Z", - "shell.execute_reply": "2024-04-06T04:21:33.482607Z" + "iopub.execute_input": "2024-04-06T04:38:43.812097Z", + "iopub.status.busy": "2024-04-06T04:38:43.811923Z", + "iopub.status.idle": "2024-04-06T04:38:43.837570Z", + "shell.execute_reply": "2024-04-06T04:38:43.837054Z" } }, "outputs": [ @@ -885,10 +893,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.485345Z", - "iopub.status.busy": "2024-04-06T04:21:33.484939Z", - "iopub.status.idle": "2024-04-06T04:21:33.489208Z", - "shell.execute_reply": "2024-04-06T04:21:33.488781Z" + "iopub.execute_input": "2024-04-06T04:38:43.839685Z", + "iopub.status.busy": "2024-04-06T04:38:43.839262Z", + "iopub.status.idle": "2024-04-06T04:38:43.843573Z", + "shell.execute_reply": "2024-04-06T04:38:43.843046Z" } }, "outputs": [ @@ -962,10 +970,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.491173Z", - "iopub.status.busy": "2024-04-06T04:21:33.490882Z", - "iopub.status.idle": "2024-04-06T04:21:34.904768Z", - "shell.execute_reply": "2024-04-06T04:21:34.904205Z" + "iopub.execute_input": "2024-04-06T04:38:43.845456Z", + "iopub.status.busy": "2024-04-06T04:38:43.845286Z", + "iopub.status.idle": "2024-04-06T04:38:45.262927Z", + "shell.execute_reply": "2024-04-06T04:38:45.262416Z" } }, "outputs": [ @@ -1137,10 +1145,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:34.906826Z", - "iopub.status.busy": "2024-04-06T04:21:34.906624Z", - "iopub.status.idle": "2024-04-06T04:21:34.910693Z", - "shell.execute_reply": "2024-04-06T04:21:34.910157Z" + "iopub.execute_input": "2024-04-06T04:38:45.265138Z", + "iopub.status.busy": "2024-04-06T04:38:45.264818Z", + "iopub.status.idle": "2024-04-06T04:38:45.268799Z", + "shell.execute_reply": "2024-04-06T04:38:45.268374Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/tutorials/clean_learning/index.doctree b/master/.doctrees/tutorials/clean_learning/index.doctree index 584baae0c8d47c4bd9462c966989a5da7336d76c..1aa75447749d9d38754b10317eaec8bcf5928002 100644 GIT binary patch delta 62 zcmX>tep-A(E~8<7ftf{enn8}fSz@wTa!N|FVWNp;N}_>LqN%Z^g{7HEl37x+X<|~E RiHT*hSyHOu=6Q^|TmX9J6D$A# delta 62 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Source code for cleanlab.internal.outlier

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

@@ -846,43 +846,43 @@

2. Load and format the text dataset
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"2024-04-06T04:09:46.998415Z", - "iopub.status.idle": "2024-04-06T04:09:49.841323Z", - "shell.execute_reply": "2024-04-06T04:09:49.840716Z" + "iopub.execute_input": "2024-04-06T04:26:58.967747Z", + "iopub.status.busy": "2024-04-06T04:26:58.967347Z", + "iopub.status.idle": "2024-04-06T04:27:01.569874Z", + "shell.execute_reply": "2024-04-06T04:27:01.569267Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:09:49.844045Z", - "iopub.status.busy": "2024-04-06T04:09:49.843730Z", - "iopub.status.idle": "2024-04-06T04:09:49.847194Z", - "shell.execute_reply": "2024-04-06T04:09:49.846655Z" + "iopub.execute_input": "2024-04-06T04:27:01.572409Z", + "iopub.status.busy": "2024-04-06T04:27:01.572137Z", + "iopub.status.idle": "2024-04-06T04:27:01.575389Z", + "shell.execute_reply": "2024-04-06T04:27:01.574976Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.849125Z", - "iopub.status.busy": "2024-04-06T04:09:49.848944Z", - "iopub.status.idle": "2024-04-06T04:09:49.852084Z", - "shell.execute_reply": "2024-04-06T04:09:49.851525Z" + "iopub.execute_input": "2024-04-06T04:27:01.577325Z", + "iopub.status.busy": "2024-04-06T04:27:01.576995Z", + "iopub.status.idle": "2024-04-06T04:27:01.580088Z", + "shell.execute_reply": "2024-04-06T04:27:01.579648Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.854219Z", - "iopub.status.busy": "2024-04-06T04:09:49.853794Z", - "iopub.status.idle": "2024-04-06T04:09:49.905818Z", - "shell.execute_reply": "2024-04-06T04:09:49.905280Z" + "iopub.execute_input": "2024-04-06T04:27:01.581930Z", + "iopub.status.busy": "2024-04-06T04:27:01.581670Z", + "iopub.status.idle": "2024-04-06T04:27:01.658694Z", + "shell.execute_reply": "2024-04-06T04:27:01.658172Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.908057Z", - "iopub.status.busy": "2024-04-06T04:09:49.907733Z", - "iopub.status.idle": "2024-04-06T04:09:49.911295Z", - "shell.execute_reply": "2024-04-06T04:09:49.910769Z" + "iopub.execute_input": "2024-04-06T04:27:01.660795Z", + "iopub.status.busy": "2024-04-06T04:27:01.660465Z", + "iopub.status.idle": "2024-04-06T04:27:01.663899Z", + "shell.execute_reply": "2024-04-06T04:27:01.663501Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.913239Z", - "iopub.status.busy": "2024-04-06T04:09:49.912838Z", - "iopub.status.idle": "2024-04-06T04:09:49.916019Z", - "shell.execute_reply": "2024-04-06T04:09:49.915549Z" + "iopub.execute_input": "2024-04-06T04:27:01.665856Z", + "iopub.status.busy": "2024-04-06T04:27:01.665521Z", + "iopub.status.idle": "2024-04-06T04:27:01.668705Z", + "shell.execute_reply": "2024-04-06T04:27:01.668216Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'cancel_transfer', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'beneficiary_not_allowed', 'change_pin', 'getting_spare_card', 'lost_or_stolen_phone', 'visa_or_mastercard', 'card_about_to_expire', 'apple_pay_or_google_pay'}\n" + "Classes: {'cancel_transfer', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'getting_spare_card', 'change_pin', 'card_about_to_expire'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.917795Z", - "iopub.status.busy": "2024-04-06T04:09:49.917625Z", - "iopub.status.idle": "2024-04-06T04:09:49.920534Z", - "shell.execute_reply": "2024-04-06T04:09:49.920011Z" + "iopub.execute_input": "2024-04-06T04:27:01.670676Z", + "iopub.status.busy": "2024-04-06T04:27:01.670295Z", + "iopub.status.idle": "2024-04-06T04:27:01.673371Z", + "shell.execute_reply": "2024-04-06T04:27:01.672860Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.922421Z", - "iopub.status.busy": "2024-04-06T04:09:49.922120Z", - "iopub.status.idle": "2024-04-06T04:09:49.925343Z", - "shell.execute_reply": "2024-04-06T04:09:49.924824Z" + "iopub.execute_input": "2024-04-06T04:27:01.675367Z", + "iopub.status.busy": "2024-04-06T04:27:01.675041Z", + "iopub.status.idle": "2024-04-06T04:27:01.678078Z", + "shell.execute_reply": "2024-04-06T04:27:01.677656Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:49.927205Z", - "iopub.status.busy": "2024-04-06T04:09:49.927030Z", - "iopub.status.idle": "2024-04-06T04:09:55.397780Z", - "shell.execute_reply": "2024-04-06T04:09:55.397268Z" + "iopub.execute_input": "2024-04-06T04:27:01.679941Z", + "iopub.status.busy": "2024-04-06T04:27:01.679685Z", + "iopub.status.idle": "2024-04-06T04:27:06.350529Z", + "shell.execute_reply": "2024-04-06T04:27:06.349987Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ade5e9f8260742648554ed88676a1439", + "model_id": "0b23f615f5b84f338a77080fed288888", "version_major": 2, 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"execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:57.751723Z", - "iopub.status.busy": "2024-04-06T04:09:57.751103Z", - "iopub.status.idle": "2024-04-06T04:09:57.759200Z", - "shell.execute_reply": "2024-04-06T04:09:57.758689Z" + "iopub.execute_input": "2024-04-06T04:27:08.623393Z", + "iopub.status.busy": "2024-04-06T04:27:08.622654Z", + "iopub.status.idle": "2024-04-06T04:27:08.630521Z", + "shell.execute_reply": "2024-04-06T04:27:08.629847Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:09:57.761396Z", - "iopub.status.busy": "2024-04-06T04:09:57.761068Z", - "iopub.status.idle": "2024-04-06T04:09:57.765069Z", - "shell.execute_reply": "2024-04-06T04:09:57.764609Z" + "iopub.execute_input": "2024-04-06T04:27:08.632688Z", + "iopub.status.busy": "2024-04-06T04:27:08.632254Z", + "iopub.status.idle": "2024-04-06T04:27:08.636058Z", + "shell.execute_reply": 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"nbsphinx": "hidden" }, @@ -97,7 +97,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:10:05.930353Z", - "iopub.status.busy": "2024-04-06T04:10:05.929705Z", - "iopub.status.idle": "2024-04-06T04:10:05.933035Z", - "shell.execute_reply": "2024-04-06T04:10:05.932521Z" + "iopub.execute_input": "2024-04-06T04:27:16.569088Z", + "iopub.status.busy": "2024-04-06T04:27:16.568539Z", + "iopub.status.idle": "2024-04-06T04:27:16.571617Z", + "shell.execute_reply": "2024-04-06T04:27:16.571189Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:05.935181Z", - "iopub.status.busy": "2024-04-06T04:10:05.934854Z", - "iopub.status.idle": "2024-04-06T04:10:05.939445Z", - "shell.execute_reply": "2024-04-06T04:10:05.939029Z" + "iopub.execute_input": "2024-04-06T04:27:16.573587Z", + "iopub.status.busy": "2024-04-06T04:27:16.573414Z", + "iopub.status.idle": "2024-04-06T04:27:16.578000Z", + "shell.execute_reply": "2024-04-06T04:27:16.577578Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:05.941730Z", - "iopub.status.busy": "2024-04-06T04:10:05.941268Z", - "iopub.status.idle": "2024-04-06T04:10:07.570959Z", - "shell.execute_reply": "2024-04-06T04:10:07.570278Z" + "iopub.execute_input": "2024-04-06T04:27:16.580077Z", + "iopub.status.busy": "2024-04-06T04:27:16.579751Z", + "iopub.status.idle": "2024-04-06T04:27:18.276513Z", + "shell.execute_reply": "2024-04-06T04:27:18.275051Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:07.573521Z", - "iopub.status.busy": "2024-04-06T04:10:07.573301Z", - "iopub.status.idle": "2024-04-06T04:10:07.583865Z", - "shell.execute_reply": "2024-04-06T04:10:07.583450Z" + "iopub.execute_input": "2024-04-06T04:27:18.282470Z", + "iopub.status.busy": "2024-04-06T04:27:18.281603Z", + "iopub.status.idle": "2024-04-06T04:27:18.299325Z", + "shell.execute_reply": "2024-04-06T04:27:18.298235Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:07.585858Z", - "iopub.status.busy": "2024-04-06T04:10:07.585680Z", - "iopub.status.idle": "2024-04-06T04:10:07.590998Z", - "shell.execute_reply": "2024-04-06T04:10:07.590554Z" + "iopub.execute_input": "2024-04-06T04:27:18.302849Z", + "iopub.status.busy": "2024-04-06T04:27:18.302356Z", + "iopub.status.idle": "2024-04-06T04:27:18.311115Z", + "shell.execute_reply": "2024-04-06T04:27:18.310622Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:07.592915Z", - "iopub.status.busy": "2024-04-06T04:10:07.592596Z", - "iopub.status.idle": "2024-04-06T04:10:08.039113Z", - "shell.execute_reply": "2024-04-06T04:10:08.038613Z" + "iopub.execute_input": "2024-04-06T04:27:18.313433Z", + "iopub.status.busy": "2024-04-06T04:27:18.313090Z", + "iopub.status.idle": "2024-04-06T04:27:18.744781Z", + "shell.execute_reply": "2024-04-06T04:27:18.744269Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:08.041462Z", - "iopub.status.busy": "2024-04-06T04:10:08.041095Z", - "iopub.status.idle": "2024-04-06T04:10:09.051263Z", - "shell.execute_reply": "2024-04-06T04:10:09.050622Z" + "iopub.execute_input": "2024-04-06T04:27:18.747037Z", + "iopub.status.busy": "2024-04-06T04:27:18.746633Z", + "iopub.status.idle": "2024-04-06T04:27:20.503082Z", + "shell.execute_reply": "2024-04-06T04:27:20.502599Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:09.053964Z", - "iopub.status.busy": "2024-04-06T04:10:09.053616Z", - "iopub.status.idle": "2024-04-06T04:10:09.072488Z", - "shell.execute_reply": "2024-04-06T04:10:09.071948Z" + "iopub.execute_input": "2024-04-06T04:27:20.505556Z", + "iopub.status.busy": "2024-04-06T04:27:20.505108Z", + "iopub.status.idle": "2024-04-06T04:27:20.523191Z", + "shell.execute_reply": "2024-04-06T04:27:20.522660Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:09.074543Z", - "iopub.status.busy": "2024-04-06T04:10:09.074230Z", - "iopub.status.idle": "2024-04-06T04:10:09.077746Z", - "shell.execute_reply": "2024-04-06T04:10:09.077346Z" + "iopub.execute_input": "2024-04-06T04:27:20.525153Z", + "iopub.status.busy": "2024-04-06T04:27:20.524840Z", + "iopub.status.idle": "2024-04-06T04:27:20.527990Z", + "shell.execute_reply": "2024-04-06T04:27:20.527457Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:09.079689Z", - "iopub.status.busy": "2024-04-06T04:10:09.079387Z", - "iopub.status.idle": "2024-04-06T04:10:23.747012Z", - "shell.execute_reply": "2024-04-06T04:10:23.746455Z" + "iopub.execute_input": "2024-04-06T04:27:20.530026Z", + "iopub.status.busy": "2024-04-06T04:27:20.529694Z", + "iopub.status.idle": "2024-04-06T04:27:34.456164Z", + "shell.execute_reply": "2024-04-06T04:27:34.455636Z" }, "id": "2FSQ2GR9R_YA" }, @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:23.749854Z", - "iopub.status.busy": "2024-04-06T04:10:23.749457Z", - "iopub.status.idle": "2024-04-06T04:10:23.753443Z", - "shell.execute_reply": "2024-04-06T04:10:23.752996Z" + "iopub.execute_input": "2024-04-06T04:27:34.458814Z", + "iopub.status.busy": "2024-04-06T04:27:34.458439Z", + "iopub.status.idle": "2024-04-06T04:27:34.462230Z", + "shell.execute_reply": "2024-04-06T04:27:34.461692Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:23.755529Z", - "iopub.status.busy": "2024-04-06T04:10:23.755236Z", - "iopub.status.idle": "2024-04-06T04:10:24.472476Z", - "shell.execute_reply": "2024-04-06T04:10:24.471919Z" + "iopub.execute_input": "2024-04-06T04:27:34.464292Z", + "iopub.status.busy": "2024-04-06T04:27:34.463976Z", + "iopub.status.idle": "2024-04-06T04:27:35.183273Z", + "shell.execute_reply": "2024-04-06T04:27:35.182717Z" }, "id": "i_drkY9YOcw4" }, @@ -727,10 +727,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.475330Z", - "iopub.status.busy": "2024-04-06T04:10:24.474973Z", - "iopub.status.idle": "2024-04-06T04:10:24.479564Z", - "shell.execute_reply": "2024-04-06T04:10:24.479106Z" + "iopub.execute_input": "2024-04-06T04:27:35.186021Z", + "iopub.status.busy": "2024-04-06T04:27:35.185608Z", + "iopub.status.idle": "2024-04-06T04:27:35.190731Z", + "shell.execute_reply": "2024-04-06T04:27:35.190237Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -777,10 +777,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.481879Z", - "iopub.status.busy": "2024-04-06T04:10:24.481525Z", - "iopub.status.idle": "2024-04-06T04:10:24.592834Z", - "shell.execute_reply": "2024-04-06T04:10:24.592251Z" + "iopub.execute_input": "2024-04-06T04:27:35.193080Z", + "iopub.status.busy": "2024-04-06T04:27:35.192698Z", + "iopub.status.idle": "2024-04-06T04:27:35.302175Z", + "shell.execute_reply": "2024-04-06T04:27:35.301475Z" } }, "outputs": [ @@ -817,10 +817,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.595138Z", - "iopub.status.busy": "2024-04-06T04:10:24.594946Z", - "iopub.status.idle": "2024-04-06T04:10:24.607308Z", - "shell.execute_reply": "2024-04-06T04:10:24.606754Z" + "iopub.execute_input": "2024-04-06T04:27:35.304615Z", + "iopub.status.busy": "2024-04-06T04:27:35.304237Z", + "iopub.status.idle": "2024-04-06T04:27:35.316277Z", + "shell.execute_reply": "2024-04-06T04:27:35.315829Z" }, "scrolled": true }, @@ -875,10 +875,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.609352Z", - "iopub.status.busy": "2024-04-06T04:10:24.609024Z", - "iopub.status.idle": "2024-04-06T04:10:24.616898Z", - "shell.execute_reply": "2024-04-06T04:10:24.616360Z" + "iopub.execute_input": "2024-04-06T04:27:35.318303Z", + "iopub.status.busy": "2024-04-06T04:27:35.317968Z", + "iopub.status.idle": "2024-04-06T04:27:35.325434Z", + "shell.execute_reply": "2024-04-06T04:27:35.324937Z" } }, "outputs": [ @@ -982,10 +982,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.618873Z", - "iopub.status.busy": "2024-04-06T04:10:24.618555Z", - "iopub.status.idle": "2024-04-06T04:10:24.622875Z", - "shell.execute_reply": "2024-04-06T04:10:24.622318Z" + "iopub.execute_input": "2024-04-06T04:27:35.327556Z", + "iopub.status.busy": "2024-04-06T04:27:35.327202Z", + "iopub.status.idle": "2024-04-06T04:27:35.331288Z", + "shell.execute_reply": "2024-04-06T04:27:35.330846Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.624871Z", - "iopub.status.busy": "2024-04-06T04:10:24.624545Z", - "iopub.status.idle": "2024-04-06T04:10:24.630012Z", - "shell.execute_reply": "2024-04-06T04:10:24.629508Z" + "iopub.execute_input": "2024-04-06T04:27:35.333294Z", + "iopub.status.busy": "2024-04-06T04:27:35.332989Z", + "iopub.status.idle": "2024-04-06T04:27:35.338557Z", + "shell.execute_reply": "2024-04-06T04:27:35.337997Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1153,10 +1153,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.632092Z", - "iopub.status.busy": "2024-04-06T04:10:24.631766Z", - "iopub.status.idle": "2024-04-06T04:10:24.979721Z", - "shell.execute_reply": "2024-04-06T04:10:24.979241Z" + "iopub.execute_input": "2024-04-06T04:27:35.340521Z", + "iopub.status.busy": "2024-04-06T04:27:35.340225Z", + "iopub.status.idle": "2024-04-06T04:27:35.658582Z", + "shell.execute_reply": "2024-04-06T04:27:35.657998Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1210,10 +1210,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:24.981981Z", - "iopub.status.busy": "2024-04-06T04:10:24.981539Z", - "iopub.status.idle": "2024-04-06T04:10:25.090071Z", - "shell.execute_reply": "2024-04-06T04:10:25.089503Z" + "iopub.execute_input": "2024-04-06T04:27:35.660829Z", + "iopub.status.busy": "2024-04-06T04:27:35.660413Z", + "iopub.status.idle": "2024-04-06T04:27:35.769702Z", + "shell.execute_reply": "2024-04-06T04:27:35.769175Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1258,10 +1258,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-06T04:10:25.092276Z", - "iopub.status.busy": "2024-04-06T04:10:25.091912Z", - "iopub.status.idle": "2024-04-06T04:10:25.198257Z", - "shell.execute_reply": "2024-04-06T04:10:25.197689Z" + "iopub.execute_input": "2024-04-06T04:27:35.771757Z", + "iopub.status.busy": "2024-04-06T04:27:35.771495Z", + "iopub.status.idle": "2024-04-06T04:27:35.872918Z", + "shell.execute_reply": "2024-04-06T04:27:35.872364Z" }, "id": "lfa2eHbMwG8R", "outputId": "6627ebe2-d439-4bf5-e2cb-44f6278ae86c" @@ -1302,10 +1302,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:25.200626Z", - "iopub.status.busy": "2024-04-06T04:10:25.200225Z", - "iopub.status.idle": "2024-04-06T04:10:25.306345Z", - "shell.execute_reply": "2024-04-06T04:10:25.305814Z" + "iopub.execute_input": "2024-04-06T04:27:35.875082Z", + "iopub.status.busy": "2024-04-06T04:27:35.874745Z", + "iopub.status.idle": "2024-04-06T04:27:35.975770Z", + "shell.execute_reply": "2024-04-06T04:27:35.975289Z" } }, "outputs": [ @@ -1353,10 +1353,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:25.308483Z", - "iopub.status.busy": "2024-04-06T04:10:25.308149Z", - "iopub.status.idle": "2024-04-06T04:10:25.311361Z", - "shell.execute_reply": "2024-04-06T04:10:25.310829Z" + "iopub.execute_input": "2024-04-06T04:27:35.977985Z", + "iopub.status.busy": "2024-04-06T04:27:35.977624Z", + "iopub.status.idle": "2024-04-06T04:27:35.980777Z", + "shell.execute_reply": "2024-04-06T04:27:35.980344Z" }, "nbsphinx": "hidden" }, @@ -1397,33 +1397,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "023b1113484545a9950c12629a309554": { - "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_a6823d942574498c912ce97b605daa72", - "max": 128619.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_d0fbf44ea676431db02d0c42430a2d0a", - "tabbable": null, - "tooltip": null, - "value": 128619.0 - } - }, - "03ae62aabce04fd7bdfd6ac247da0f43": { + "0148687423ae4404946f694c128d1db8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1438,33 +1412,15 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_a8c905a789e74254bc8abeb6de7b5e2a", + "layout": "IPY_MODEL_ae7e6d3ea8df4eb8badebf0329826518", "placeholder": "​", - "style": "IPY_MODEL_8a76de540b8341478bc0760b061ceebf", + "style": "IPY_MODEL_2a522c81494744879ad988349f56ed6d", "tabbable": null, "tooltip": null, - "value": "mean_var_norm_emb.ckpt: 100%" - } - }, - "09b588eda4e849c7883eda8de9d1f6cb": { - "model_module": "@jupyter-widgets/controls", - 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1. Install and import required dependenciesdependencies = ["cleanlab", "matplotlib", "datasets"] # TODO: make sure this list is updated if "google.colab" in str(get_ipython()): # Check if it's running in Google Colab - %pip install git+https://github.com/cleanlab/cleanlab.git@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9 + %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00 cmd = ' '.join([dep for dep in dependencies if dep != "cleanlab"]) %pip install $cmd else: @@ -1144,7 +1144,7 @@

5. Use DataMonitor to find issues in new data

-
+
@@ -1179,7 +1179,7 @@

5. Use DataMonitor to find issues in new data

-
+
@@ -1479,7 +1479,7 @@

6. Learn more about the issues in the additional data

diff --git a/master/tutorials/datalab/data_monitor.ipynb b/master/tutorials/datalab/data_monitor.ipynb index 6e26bb6a6..49d632c47 100644 --- a/master/tutorials/datalab/data_monitor.ipynb +++ b/master/tutorials/datalab/data_monitor.ipynb @@ -66,10 +66,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:29.365982Z", - "iopub.status.busy": "2024-04-06T04:10:29.365801Z", - "iopub.status.idle": "2024-04-06T04:10:30.517962Z", - "shell.execute_reply": "2024-04-06T04:10:30.517324Z" + "iopub.execute_input": "2024-04-06T04:27:39.124807Z", + "iopub.status.busy": "2024-04-06T04:27:39.124638Z", + "iopub.status.idle": "2024-04-06T04:27:40.230534Z", + "shell.execute_reply": "2024-04-06T04:27:40.229912Z" } }, "outputs": [], @@ -78,7 +78,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -103,10 +103,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:30.520598Z", - "iopub.status.busy": "2024-04-06T04:10:30.520301Z", - "iopub.status.idle": "2024-04-06T04:10:30.527232Z", - "shell.execute_reply": "2024-04-06T04:10:30.526805Z" + "iopub.execute_input": "2024-04-06T04:27:40.232938Z", + "iopub.status.busy": "2024-04-06T04:27:40.232697Z", + "iopub.status.idle": "2024-04-06T04:27:40.239199Z", + "shell.execute_reply": "2024-04-06T04:27:40.238786Z" } }, "outputs": [], @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:30.529435Z", - "iopub.status.busy": "2024-04-06T04:10:30.529090Z", - "iopub.status.idle": "2024-04-06T04:10:30.537877Z", - "shell.execute_reply": "2024-04-06T04:10:30.537356Z" + "iopub.execute_input": "2024-04-06T04:27:40.241352Z", + "iopub.status.busy": "2024-04-06T04:27:40.240938Z", + "iopub.status.idle": "2024-04-06T04:27:40.249415Z", + "shell.execute_reply": "2024-04-06T04:27:40.248876Z" } }, "outputs": [], @@ -334,10 +334,10 @@ "execution_count": 4, "metadata": { "execution": { - 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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 fdcc7e164..6f252d481 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": "2024-04-06T04:10:45.592417Z", - "iopub.status.busy": "2024-04-06T04:10:45.592246Z", - "iopub.status.idle": "2024-04-06T04:10:46.763744Z", - "shell.execute_reply": "2024-04-06T04:10:46.763140Z" + "iopub.execute_input": "2024-04-06T04:27:55.167484Z", + "iopub.status.busy": "2024-04-06T04:27:55.167142Z", + "iopub.status.idle": "2024-04-06T04:27:56.268393Z", + "shell.execute_reply": "2024-04-06T04:27:56.267802Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:10:46.766271Z", - "iopub.status.busy": "2024-04-06T04:10:46.766009Z", - "iopub.status.idle": "2024-04-06T04:10:46.769053Z", - "shell.execute_reply": "2024-04-06T04:10:46.768529Z" + "iopub.execute_input": "2024-04-06T04:27:56.270921Z", + "iopub.status.busy": "2024-04-06T04:27:56.270628Z", + "iopub.status.idle": "2024-04-06T04:27:56.273710Z", + "shell.execute_reply": "2024-04-06T04:27:56.273181Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:46.770987Z", - "iopub.status.busy": "2024-04-06T04:10:46.770811Z", - "iopub.status.idle": "2024-04-06T04:10:46.779996Z", - "shell.execute_reply": "2024-04-06T04:10:46.779529Z" + "iopub.execute_input": "2024-04-06T04:27:56.276040Z", + "iopub.status.busy": "2024-04-06T04:27:56.275731Z", + "iopub.status.idle": "2024-04-06T04:27:56.284763Z", + "shell.execute_reply": "2024-04-06T04:27:56.284342Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:46.781805Z", - "iopub.status.busy": "2024-04-06T04:10:46.781631Z", - "iopub.status.idle": "2024-04-06T04:10:46.786184Z", - "shell.execute_reply": "2024-04-06T04:10:46.785778Z" + "iopub.execute_input": "2024-04-06T04:27:56.286793Z", + "iopub.status.busy": "2024-04-06T04:27:56.286479Z", + "iopub.status.idle": "2024-04-06T04:27:56.290759Z", + "shell.execute_reply": "2024-04-06T04:27:56.290351Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:46.788097Z", - "iopub.status.busy": "2024-04-06T04:10:46.787920Z", - "iopub.status.idle": "2024-04-06T04:10:46.970465Z", - "shell.execute_reply": "2024-04-06T04:10:46.969978Z" + "iopub.execute_input": "2024-04-06T04:27:56.292900Z", + "iopub.status.busy": "2024-04-06T04:27:56.292571Z", + "iopub.status.idle": "2024-04-06T04:27:56.470930Z", + "shell.execute_reply": "2024-04-06T04:27:56.470381Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:46.973173Z", - "iopub.status.busy": "2024-04-06T04:10:46.972703Z", - "iopub.status.idle": "2024-04-06T04:10:47.343929Z", - "shell.execute_reply": "2024-04-06T04:10:47.343452Z" + "iopub.execute_input": "2024-04-06T04:27:56.473159Z", + "iopub.status.busy": "2024-04-06T04:27:56.472901Z", + "iopub.status.idle": "2024-04-06T04:27:56.842173Z", + "shell.execute_reply": 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from issue manager OutlierIssueManager.\n", + "/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:348: UserWarning: Overwriting columns ['outlier_score', 'is_outlier_issue'] in self.issues with columns from issue manager OutlierIssueManager.\n", " warnings.warn(\n", "/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:378: UserWarning: Overwriting row in self.issue_summary with row from issue manager OutlierIssueManager.\n", " warnings.warn(\n", @@ -936,10 +936,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:49.069957Z", - "iopub.status.busy": "2024-04-06T04:10:49.069696Z", - "iopub.status.idle": "2024-04-06T04:10:49.083918Z", - "shell.execute_reply": "2024-04-06T04:10:49.083472Z" + "iopub.execute_input": "2024-04-06T04:27:58.495766Z", + "iopub.status.busy": "2024-04-06T04:27:58.495439Z", + "iopub.status.idle": "2024-04-06T04:27:58.509263Z", + "shell.execute_reply": 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2, diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb index a45b83b04..8fd460cb9 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": "2024-04-06T04:10:51.904102Z", - "iopub.status.busy": "2024-04-06T04:10:51.903772Z", - "iopub.status.idle": "2024-04-06T04:10:53.062916Z", - "shell.execute_reply": "2024-04-06T04:10:53.062216Z" + "iopub.execute_input": "2024-04-06T04:28:01.140999Z", + "iopub.status.busy": "2024-04-06T04:28:01.140833Z", + "iopub.status.idle": "2024-04-06T04:28:02.262000Z", + "shell.execute_reply": "2024-04-06T04:28:02.261355Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:10:53.066083Z", - "iopub.status.busy": "2024-04-06T04:10:53.065583Z", - "iopub.status.idle": "2024-04-06T04:10:53.068830Z", - "shell.execute_reply": "2024-04-06T04:10:53.068290Z" + "iopub.execute_input": "2024-04-06T04:28:02.264649Z", + "iopub.status.busy": "2024-04-06T04:28:02.264228Z", + "iopub.status.idle": "2024-04-06T04:28:02.267145Z", + "shell.execute_reply": "2024-04-06T04:28:02.266735Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.071252Z", - "iopub.status.busy": "2024-04-06T04:10:53.070784Z", - "iopub.status.idle": "2024-04-06T04:10:53.080808Z", - "shell.execute_reply": "2024-04-06T04:10:53.080228Z" + "iopub.execute_input": "2024-04-06T04:28:02.269196Z", + "iopub.status.busy": "2024-04-06T04:28:02.268920Z", + "iopub.status.idle": "2024-04-06T04:28:02.278242Z", + "shell.execute_reply": "2024-04-06T04:28:02.277783Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.083081Z", - "iopub.status.busy": "2024-04-06T04:10:53.082896Z", - "iopub.status.idle": "2024-04-06T04:10:53.087965Z", - "shell.execute_reply": "2024-04-06T04:10:53.087512Z" + "iopub.execute_input": "2024-04-06T04:28:02.280171Z", + "iopub.status.busy": "2024-04-06T04:28:02.279844Z", + "iopub.status.idle": "2024-04-06T04:28:02.284049Z", + "shell.execute_reply": "2024-04-06T04:28:02.283641Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.090354Z", - "iopub.status.busy": "2024-04-06T04:10:53.089890Z", - "iopub.status.idle": "2024-04-06T04:10:53.277576Z", - "shell.execute_reply": "2024-04-06T04:10:53.276977Z" + "iopub.execute_input": "2024-04-06T04:28:02.286098Z", + "iopub.status.busy": "2024-04-06T04:28:02.285775Z", + "iopub.status.idle": "2024-04-06T04:28:02.470065Z", + "shell.execute_reply": "2024-04-06T04:28:02.469547Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.280007Z", - "iopub.status.busy": "2024-04-06T04:10:53.279818Z", - "iopub.status.idle": "2024-04-06T04:10:53.655608Z", - "shell.execute_reply": "2024-04-06T04:10:53.655065Z" + "iopub.execute_input": "2024-04-06T04:28:02.472692Z", + "iopub.status.busy": "2024-04-06T04:28:02.472227Z", + "iopub.status.idle": "2024-04-06T04:28:02.862171Z", + "shell.execute_reply": "2024-04-06T04:28:02.861570Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.657682Z", - "iopub.status.busy": "2024-04-06T04:10:53.657478Z", - "iopub.status.idle": "2024-04-06T04:10:53.660243Z", - "shell.execute_reply": "2024-04-06T04:10:53.659763Z" + "iopub.execute_input": "2024-04-06T04:28:02.864346Z", + "iopub.status.busy": "2024-04-06T04:28:02.864021Z", + "iopub.status.idle": "2024-04-06T04:28:02.868011Z", + "shell.execute_reply": "2024-04-06T04:28:02.867360Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.662182Z", - "iopub.status.busy": "2024-04-06T04:10:53.662008Z", - "iopub.status.idle": "2024-04-06T04:10:53.697853Z", - "shell.execute_reply": "2024-04-06T04:10:53.697252Z" + "iopub.execute_input": "2024-04-06T04:28:02.870143Z", + "iopub.status.busy": "2024-04-06T04:28:02.869708Z", + "iopub.status.idle": "2024-04-06T04:28:02.905119Z", + "shell.execute_reply": "2024-04-06T04:28:02.904575Z" } }, "outputs": [ @@ -647,10 +647,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:53.700017Z", - "iopub.status.busy": "2024-04-06T04:10:53.699830Z", - "iopub.status.idle": "2024-04-06T04:10:55.419138Z", - "shell.execute_reply": "2024-04-06T04:10:55.418475Z" + "iopub.execute_input": "2024-04-06T04:28:02.907153Z", + "iopub.status.busy": "2024-04-06T04:28:02.906777Z", + "iopub.status.idle": "2024-04-06T04:28:04.522763Z", + "shell.execute_reply": "2024-04-06T04:28:04.522160Z" } }, "outputs": [ @@ -711,10 +711,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.421824Z", - "iopub.status.busy": "2024-04-06T04:10:55.421257Z", - "iopub.status.idle": "2024-04-06T04:10:55.441030Z", - "shell.execute_reply": "2024-04-06T04:10:55.440494Z" + "iopub.execute_input": "2024-04-06T04:28:04.525220Z", + "iopub.status.busy": "2024-04-06T04:28:04.524729Z", + "iopub.status.idle": "2024-04-06T04:28:04.543944Z", + "shell.execute_reply": "2024-04-06T04:28:04.543486Z" } }, "outputs": [ @@ -842,10 +842,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.443109Z", - "iopub.status.busy": "2024-04-06T04:10:55.442772Z", - "iopub.status.idle": "2024-04-06T04:10:55.449858Z", - "shell.execute_reply": "2024-04-06T04:10:55.449380Z" + "iopub.execute_input": "2024-04-06T04:28:04.545971Z", + "iopub.status.busy": "2024-04-06T04:28:04.545633Z", + "iopub.status.idle": "2024-04-06T04:28:04.551859Z", + "shell.execute_reply": "2024-04-06T04:28:04.551428Z" } }, "outputs": [ @@ -956,10 +956,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.451806Z", - "iopub.status.busy": "2024-04-06T04:10:55.451492Z", - "iopub.status.idle": "2024-04-06T04:10:55.457159Z", - "shell.execute_reply": "2024-04-06T04:10:55.456736Z" + "iopub.execute_input": "2024-04-06T04:28:04.553727Z", + "iopub.status.busy": "2024-04-06T04:28:04.553467Z", + "iopub.status.idle": "2024-04-06T04:28:04.559055Z", + "shell.execute_reply": "2024-04-06T04:28:04.558635Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.459155Z", - "iopub.status.busy": "2024-04-06T04:10:55.458774Z", - "iopub.status.idle": "2024-04-06T04:10:55.469253Z", - "shell.execute_reply": "2024-04-06T04:10:55.468723Z" + "iopub.execute_input": "2024-04-06T04:28:04.561010Z", + "iopub.status.busy": "2024-04-06T04:28:04.560761Z", + "iopub.status.idle": "2024-04-06T04:28:04.571254Z", + "shell.execute_reply": "2024-04-06T04:28:04.570824Z" } }, "outputs": [ @@ -1221,10 +1221,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.471298Z", - "iopub.status.busy": "2024-04-06T04:10:55.470981Z", - "iopub.status.idle": "2024-04-06T04:10:55.479664Z", - "shell.execute_reply": "2024-04-06T04:10:55.479131Z" + "iopub.execute_input": "2024-04-06T04:28:04.573178Z", + "iopub.status.busy": "2024-04-06T04:28:04.572871Z", + "iopub.status.idle": "2024-04-06T04:28:04.581776Z", + "shell.execute_reply": "2024-04-06T04:28:04.581258Z" } }, "outputs": [ @@ -1340,10 +1340,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.481700Z", - "iopub.status.busy": "2024-04-06T04:10:55.481291Z", - "iopub.status.idle": "2024-04-06T04:10:55.488213Z", - "shell.execute_reply": "2024-04-06T04:10:55.487676Z" + "iopub.execute_input": "2024-04-06T04:28:04.583843Z", + "iopub.status.busy": "2024-04-06T04:28:04.583519Z", + "iopub.status.idle": "2024-04-06T04:28:04.590173Z", + "shell.execute_reply": "2024-04-06T04:28:04.589690Z" }, "scrolled": true }, @@ -1468,10 +1468,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:10:55.490188Z", - "iopub.status.busy": "2024-04-06T04:10:55.489813Z", - "iopub.status.idle": "2024-04-06T04:10:55.499171Z", - "shell.execute_reply": "2024-04-06T04:10:55.498631Z" + "iopub.execute_input": "2024-04-06T04:28:04.592157Z", + "iopub.status.busy": "2024-04-06T04:28:04.591831Z", + "iopub.status.idle": "2024-04-06T04:28:04.600966Z", + "shell.execute_reply": "2024-04-06T04:28:04.600530Z" } }, "outputs": [ diff --git a/master/tutorials/datalab/image.html b/master/tutorials/datalab/image.html index d1fbdc2d4..1d5cf1c7b 100644 --- a/master/tutorials/datalab/image.html +++ b/master/tutorials/datalab/image.html @@ -694,21 +694,21 @@

2. Fetch and normalize the Fashion-MNIST dataset 
-Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 131MB/s]
-Downloading data: 100%|██████████| 5.18M/5.18M [00:00<00:00, 35.3MB/s]
+Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 50.7MB/s]
+Downloading data: 100%|██████████| 5.18M/5.18M [00:00<00:00, 57.7MB/s]

-
+
-
+
[3]:
@@ -763,7 +763,7 @@ 
2. Fetch and normalize the Fashion-MNIST dataset
-
+

Convert the transformed dataset to a torch dataset. Torch datasets are more efficient with dataloading in practice.

@@ -1012,8 +1012,8 @@

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: 4.847
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.649
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.940
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.775
 Computing feature embeddings ...

@@ -1021,7 +1021,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
-
+
@@ -1035,7 +1035,7 @@

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

-
+
@@ -1044,8 +1044,8 @@

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: 4.892
-epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.599
+epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.963
+epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.588
 Computing feature embeddings ...

@@ -1053,7 +1053,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
-
+
@@ -1067,7 +1067,7 @@

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

-
+
@@ -1076,8 +1076,8 @@

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: 4.836
-epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.765
+epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.770
+epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.552
 Computing feature embeddings ...

@@ -1085,7 +1085,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
-
+
@@ -1099,7 +1099,7 @@

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

-
+
@@ -1171,7 +1171,7 @@

7. Use cleanlab to find issues

-
+
@@ -2003,35 +2003,35 @@

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 @@ -2059,7 +2059,7 @@

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 cc06cba23..5dbc9174f 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": "2024-04-06T04:10:58.218215Z", - "iopub.status.busy": "2024-04-06T04:10:58.217761Z", - "iopub.status.idle": "2024-04-06T04:11:01.070969Z", - "shell.execute_reply": "2024-04-06T04:11:01.070418Z" + "iopub.execute_input": "2024-04-06T04:28:06.972790Z", + "iopub.status.busy": "2024-04-06T04:28:06.972606Z", + "iopub.status.idle": "2024-04-06T04:28:09.752985Z", + "shell.execute_reply": "2024-04-06T04:28:09.752449Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:11:01.073435Z", - "iopub.status.busy": "2024-04-06T04:11:01.072983Z", - "iopub.status.idle": "2024-04-06T04:11:01.076474Z", - "shell.execute_reply": "2024-04-06T04:11:01.076067Z" + "iopub.execute_input": "2024-04-06T04:28:09.755512Z", + "iopub.status.busy": "2024-04-06T04:28:09.755090Z", + "iopub.status.idle": "2024-04-06T04:28:09.758597Z", + "shell.execute_reply": "2024-04-06T04:28:09.758078Z" } }, "outputs": [], @@ -152,10 +152,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:11:01.078481Z", - "iopub.status.busy": "2024-04-06T04:11:01.078157Z", - "iopub.status.idle": "2024-04-06T04:11:03.883724Z", - "shell.execute_reply": "2024-04-06T04:11:03.883196Z" + "iopub.execute_input": "2024-04-06T04:28:09.760622Z", + "iopub.status.busy": "2024-04-06T04:28:09.760210Z", + "iopub.status.idle": "2024-04-06T04:28:16.295173Z", + "shell.execute_reply": "2024-04-06T04:28:16.294666Z" } }, "outputs": [ @@ -172,7 +172,7 @@ "output_type": "stream", "text": [ "\r", - "Downloading data: 34%|███▍ | 10.5M/30.9M [00:00<00:00, 63.1MB/s]" + "Downloading data: 34%|███▍ | 10.5M/30.9M [00:00<00:00, 27.2MB/s]" ] }, { @@ -180,22 +180,22 @@ "output_type": "stream", "text": [ "\r", - "Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 131MB/s] " + "Downloading data: 68%|██████▊ | 21.0M/30.9M [00:00<00:00, 45.5MB/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n" + "\r", + "Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 50.7MB/s]" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\r", - "Downloading data: 0%| | 0.00/5.18M [00:00\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, @@ -2489,10 +2489,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:46.249753Z", - "iopub.status.busy": "2024-04-06T04:15:46.249429Z", - "iopub.status.idle": "2024-04-06T04:15:46.446289Z", - "shell.execute_reply": "2024-04-06T04:15:46.445717Z" + "iopub.execute_input": "2024-04-06T04:32:59.241500Z", + "iopub.status.busy": "2024-04-06T04:32:59.241175Z", + "iopub.status.idle": "2024-04-06T04:32:59.438012Z", + "shell.execute_reply": "2024-04-06T04:32:59.437410Z" } }, "outputs": [ @@ -2532,10 +2532,10 @@ "execution_count": 31, 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"ProgressStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_f791528742cc4153ad7e12f4fe834057", - "placeholder": "​", - "style": "IPY_MODEL_0be6ea4bdf434487844f8dcccf92799f", - "tabbable": null, - "tooltip": null, - "value": "100%" + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } } }, diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index e280384ab..43decdf02 100644 --- a/master/tutorials/datalab/tabular.ipynb +++ b/master/tutorials/datalab/tabular.ipynb @@ -74,10 +74,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:50.016933Z", - "iopub.status.busy": "2024-04-06T04:15:50.016765Z", - "iopub.status.idle": "2024-04-06T04:15:51.093933Z", - "shell.execute_reply": "2024-04-06T04:15:51.093393Z" + "iopub.execute_input": "2024-04-06T04:33:02.881954Z", + "iopub.status.busy": "2024-04-06T04:33:02.881761Z", + "iopub.status.idle": "2024-04-06T04:33:03.953480Z", + "shell.execute_reply": "2024-04-06T04:33:03.952937Z" }, "nbsphinx": "hidden" }, @@ -87,7 +87,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.096509Z", - "iopub.status.busy": "2024-04-06T04:15:51.096219Z", - "iopub.status.idle": "2024-04-06T04:15:51.114718Z", - "shell.execute_reply": "2024-04-06T04:15:51.114311Z" + "iopub.execute_input": "2024-04-06T04:33:03.956075Z", + "iopub.status.busy": "2024-04-06T04:33:03.955587Z", + "iopub.status.idle": "2024-04-06T04:33:03.973883Z", + "shell.execute_reply": "2024-04-06T04:33:03.973490Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.116987Z", - "iopub.status.busy": "2024-04-06T04:15:51.116584Z", - "iopub.status.idle": "2024-04-06T04:15:51.141165Z", - "shell.execute_reply": "2024-04-06T04:15:51.140695Z" + "iopub.execute_input": "2024-04-06T04:33:03.975942Z", + "iopub.status.busy": "2024-04-06T04:33:03.975699Z", + "iopub.status.idle": "2024-04-06T04:33:04.012978Z", + "shell.execute_reply": "2024-04-06T04:33:04.012510Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.143306Z", - "iopub.status.busy": "2024-04-06T04:15:51.142956Z", - "iopub.status.idle": "2024-04-06T04:15:51.146419Z", - "shell.execute_reply": "2024-04-06T04:15:51.145892Z" + "iopub.execute_input": "2024-04-06T04:33:04.014896Z", + "iopub.status.busy": "2024-04-06T04:33:04.014722Z", + "iopub.status.idle": "2024-04-06T04:33:04.018157Z", + "shell.execute_reply": "2024-04-06T04:33:04.017691Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.148509Z", - "iopub.status.busy": "2024-04-06T04:15:51.148195Z", - "iopub.status.idle": "2024-04-06T04:15:51.156122Z", - "shell.execute_reply": "2024-04-06T04:15:51.155564Z" + "iopub.execute_input": "2024-04-06T04:33:04.020151Z", + "iopub.status.busy": "2024-04-06T04:33:04.019837Z", + "iopub.status.idle": "2024-04-06T04:33:04.027381Z", + "shell.execute_reply": "2024-04-06T04:33:04.026969Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.158380Z", - "iopub.status.busy": "2024-04-06T04:15:51.157974Z", - "iopub.status.idle": "2024-04-06T04:15:51.160651Z", - "shell.execute_reply": "2024-04-06T04:15:51.160126Z" + "iopub.execute_input": "2024-04-06T04:33:04.029320Z", + "iopub.status.busy": "2024-04-06T04:33:04.029148Z", + "iopub.status.idle": "2024-04-06T04:33:04.031565Z", + "shell.execute_reply": "2024-04-06T04:33:04.031152Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:51.162562Z", - "iopub.status.busy": "2024-04-06T04:15:51.162265Z", - "iopub.status.idle": "2024-04-06T04:15:54.102739Z", - "shell.execute_reply": "2024-04-06T04:15:54.102113Z" + "iopub.execute_input": "2024-04-06T04:33:04.033457Z", + "iopub.status.busy": "2024-04-06T04:33:04.033286Z", + "iopub.status.idle": "2024-04-06T04:33:07.020218Z", + "shell.execute_reply": "2024-04-06T04:33:07.019691Z" } }, "outputs": [], @@ -402,10 +402,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:54.105301Z", - "iopub.status.busy": "2024-04-06T04:15:54.104968Z", - "iopub.status.idle": "2024-04-06T04:15:54.114359Z", - "shell.execute_reply": "2024-04-06T04:15:54.113824Z" + "iopub.execute_input": "2024-04-06T04:33:07.022814Z", + "iopub.status.busy": "2024-04-06T04:33:07.022610Z", + "iopub.status.idle": "2024-04-06T04:33:07.032179Z", + "shell.execute_reply": "2024-04-06T04:33:07.031775Z" } }, "outputs": [], @@ -437,10 +437,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:54.116540Z", - "iopub.status.busy": "2024-04-06T04:15:54.116231Z", - "iopub.status.idle": "2024-04-06T04:15:55.891275Z", - "shell.execute_reply": "2024-04-06T04:15:55.890683Z" + "iopub.execute_input": "2024-04-06T04:33:07.034095Z", + "iopub.status.busy": "2024-04-06T04:33:07.033903Z", + "iopub.status.idle": "2024-04-06T04:33:08.789065Z", + "shell.execute_reply": "2024-04-06T04:33:08.788481Z" } }, "outputs": [ @@ -485,10 +485,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.895568Z", - "iopub.status.busy": "2024-04-06T04:15:55.894234Z", - "iopub.status.idle": "2024-04-06T04:15:55.920587Z", - "shell.execute_reply": "2024-04-06T04:15:55.920085Z" + "iopub.execute_input": "2024-04-06T04:33:08.792211Z", + "iopub.status.busy": "2024-04-06T04:33:08.791532Z", + "iopub.status.idle": "2024-04-06T04:33:08.814502Z", + "shell.execute_reply": "2024-04-06T04:33:08.814015Z" }, "scrolled": true }, @@ -613,10 +613,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:15:55.924233Z", - "iopub.status.busy": "2024-04-06T04:15:55.923320Z", - "iopub.status.idle": "2024-04-06T04:15:55.934559Z", - "shell.execute_reply": "2024-04-06T04:15:55.934069Z" + "iopub.execute_input": "2024-04-06T04:33:08.817077Z", + "iopub.status.busy": 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"iopub.status.busy": "2024-04-06T04:15:55.997704Z", - "iopub.status.idle": "2024-04-06T04:15:56.005154Z", - "shell.execute_reply": "2024-04-06T04:15:56.004595Z" + "iopub.execute_input": "2024-04-06T04:33:08.887114Z", + "iopub.status.busy": "2024-04-06T04:33:08.886669Z", + "iopub.status.idle": "2024-04-06T04:33:08.893228Z", + "shell.execute_reply": "2024-04-06T04:33:08.892752Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index 888f059fa..26071ae2b 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -757,7 +757,7 @@

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

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 8caecef08..a6257a523 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": "2024-04-06T04:15:58.980997Z", - "iopub.status.busy": "2024-04-06T04:15:58.980817Z", - "iopub.status.idle": "2024-04-06T04:16:01.635517Z", - "shell.execute_reply": "2024-04-06T04:16:01.634921Z" + "iopub.execute_input": "2024-04-06T04:33:11.681681Z", + "iopub.status.busy": "2024-04-06T04:33:11.681132Z", + "iopub.status.idle": "2024-04-06T04:33:14.408684Z", + "shell.execute_reply": "2024-04-06T04:33:14.408170Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:01.638211Z", - "iopub.status.busy": "2024-04-06T04:16:01.637841Z", - "iopub.status.idle": "2024-04-06T04:16:01.641348Z", - "shell.execute_reply": "2024-04-06T04:16:01.640830Z" + "iopub.execute_input": "2024-04-06T04:33:14.411372Z", + "iopub.status.busy": "2024-04-06T04:33:14.410870Z", + "iopub.status.idle": "2024-04-06T04:33:14.414126Z", + "shell.execute_reply": "2024-04-06T04:33:14.413639Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.643415Z", - "iopub.status.busy": "2024-04-06T04:16:01.643050Z", - "iopub.status.idle": "2024-04-06T04:16:01.646013Z", - "shell.execute_reply": "2024-04-06T04:16:01.645596Z" + "iopub.execute_input": "2024-04-06T04:33:14.416093Z", + "iopub.status.busy": "2024-04-06T04:33:14.415817Z", + "iopub.status.idle": "2024-04-06T04:33:14.419148Z", + "shell.execute_reply": "2024-04-06T04:33:14.418621Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.647872Z", - "iopub.status.busy": "2024-04-06T04:16:01.647695Z", - "iopub.status.idle": "2024-04-06T04:16:01.671923Z", - "shell.execute_reply": "2024-04-06T04:16:01.671486Z" + "iopub.execute_input": "2024-04-06T04:33:14.421094Z", + "iopub.status.busy": "2024-04-06T04:33:14.420828Z", + "iopub.status.idle": "2024-04-06T04:33:14.445821Z", + "shell.execute_reply": "2024-04-06T04:33:14.445234Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.673817Z", - "iopub.status.busy": "2024-04-06T04:16:01.673635Z", - "iopub.status.idle": "2024-04-06T04:16:01.677282Z", - "shell.execute_reply": "2024-04-06T04:16:01.676773Z" + "iopub.execute_input": "2024-04-06T04:33:14.448095Z", + "iopub.status.busy": "2024-04-06T04:33:14.447753Z", + "iopub.status.idle": "2024-04-06T04:33:14.451521Z", + "shell.execute_reply": "2024-04-06T04:33:14.451033Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'getting_spare_card', 'card_payment_fee_charged', 'change_pin', 'cancel_transfer', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'lost_or_stolen_phone', 'card_about_to_expire', 'apple_pay_or_google_pay'}\n" + "Classes: {'visa_or_mastercard', 'apple_pay_or_google_pay', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'change_pin', 'beneficiary_not_allowed', 'cancel_transfer', 'lost_or_stolen_phone', 'supported_cards_and_currencies'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.679189Z", - "iopub.status.busy": "2024-04-06T04:16:01.678921Z", - "iopub.status.idle": "2024-04-06T04:16:01.681836Z", - "shell.execute_reply": "2024-04-06T04:16:01.681428Z" + "iopub.execute_input": "2024-04-06T04:33:14.453654Z", + "iopub.status.busy": "2024-04-06T04:33:14.453334Z", + "iopub.status.idle": "2024-04-06T04:33:14.456651Z", + "shell.execute_reply": "2024-04-06T04:33:14.456195Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:01.683996Z", - "iopub.status.busy": "2024-04-06T04:16:01.683795Z", - "iopub.status.idle": "2024-04-06T04:16:05.869169Z", - "shell.execute_reply": "2024-04-06T04:16:05.868466Z" + "iopub.execute_input": "2024-04-06T04:33:14.458570Z", + "iopub.status.busy": "2024-04-06T04:33:14.458385Z", + "iopub.status.idle": "2024-04-06T04:33:18.310859Z", + "shell.execute_reply": "2024-04-06T04:33:18.310235Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:05.872192Z", - "iopub.status.busy": "2024-04-06T04:16:05.871664Z", - "iopub.status.idle": "2024-04-06T04:16:06.850433Z", - "shell.execute_reply": "2024-04-06T04:16:06.849867Z" + "iopub.execute_input": "2024-04-06T04:33:18.313664Z", + "iopub.status.busy": "2024-04-06T04:33:18.313302Z", + "iopub.status.idle": "2024-04-06T04:33:19.193930Z", + "shell.execute_reply": "2024-04-06T04:33:19.193370Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:06.853315Z", - "iopub.status.busy": "2024-04-06T04:16:06.852888Z", - "iopub.status.idle": "2024-04-06T04:16:06.856060Z", - "shell.execute_reply": "2024-04-06T04:16:06.855577Z" + "iopub.execute_input": "2024-04-06T04:33:19.196805Z", + "iopub.status.busy": "2024-04-06T04:33:19.196442Z", + "iopub.status.idle": "2024-04-06T04:33:19.199261Z", + "shell.execute_reply": "2024-04-06T04:33:19.198798Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:06.858535Z", - "iopub.status.busy": "2024-04-06T04:16:06.858115Z", - "iopub.status.idle": "2024-04-06T04:16:08.429970Z", - "shell.execute_reply": "2024-04-06T04:16:08.429311Z" + "iopub.execute_input": "2024-04-06T04:33:19.201572Z", + "iopub.status.busy": "2024-04-06T04:33:19.201213Z", + "iopub.status.idle": "2024-04-06T04:33:20.771182Z", + "shell.execute_reply": "2024-04-06T04:33:20.770550Z" }, "scrolled": true }, @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.433540Z", - "iopub.status.busy": "2024-04-06T04:16:08.432944Z", - "iopub.status.idle": "2024-04-06T04:16:08.458129Z", - "shell.execute_reply": "2024-04-06T04:16:08.457627Z" + "iopub.execute_input": "2024-04-06T04:33:20.774433Z", + "iopub.status.busy": "2024-04-06T04:33:20.773600Z", + "iopub.status.idle": "2024-04-06T04:33:20.799139Z", + "shell.execute_reply": "2024-04-06T04:33:20.798597Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.461622Z", - "iopub.status.busy": "2024-04-06T04:16:08.460657Z", - "iopub.status.idle": "2024-04-06T04:16:08.472275Z", - "shell.execute_reply": "2024-04-06T04:16:08.471790Z" + "iopub.execute_input": "2024-04-06T04:33:20.801783Z", + "iopub.status.busy": "2024-04-06T04:33:20.801390Z", + "iopub.status.idle": "2024-04-06T04:33:20.811382Z", + "shell.execute_reply": "2024-04-06T04:33:20.810884Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.475751Z", - "iopub.status.busy": "2024-04-06T04:16:08.474843Z", - "iopub.status.idle": "2024-04-06T04:16:08.481161Z", - "shell.execute_reply": "2024-04-06T04:16:08.480567Z" + "iopub.execute_input": "2024-04-06T04:33:20.813909Z", + "iopub.status.busy": "2024-04-06T04:33:20.813527Z", + "iopub.status.idle": "2024-04-06T04:33:20.818371Z", + "shell.execute_reply": "2024-04-06T04:33:20.817869Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.483438Z", - "iopub.status.busy": "2024-04-06T04:16:08.483264Z", - "iopub.status.idle": "2024-04-06T04:16:08.490944Z", - "shell.execute_reply": "2024-04-06T04:16:08.490403Z" + "iopub.execute_input": "2024-04-06T04:33:20.820606Z", + "iopub.status.busy": "2024-04-06T04:33:20.820299Z", + "iopub.status.idle": "2024-04-06T04:33:20.826482Z", + "shell.execute_reply": "2024-04-06T04:33:20.826090Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.493066Z", - "iopub.status.busy": "2024-04-06T04:16:08.492894Z", - "iopub.status.idle": "2024-04-06T04:16:08.499255Z", - "shell.execute_reply": "2024-04-06T04:16:08.498859Z" + "iopub.execute_input": "2024-04-06T04:33:20.828437Z", + "iopub.status.busy": "2024-04-06T04:33:20.828137Z", + "iopub.status.idle": "2024-04-06T04:33:20.834167Z", + "shell.execute_reply": "2024-04-06T04:33:20.833652Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.501464Z", - "iopub.status.busy": "2024-04-06T04:16:08.500950Z", - "iopub.status.idle": "2024-04-06T04:16:08.506843Z", - "shell.execute_reply": "2024-04-06T04:16:08.506432Z" + "iopub.execute_input": "2024-04-06T04:33:20.836059Z", + "iopub.status.busy": "2024-04-06T04:33:20.835877Z", + "iopub.status.idle": "2024-04-06T04:33:20.841929Z", + "shell.execute_reply": "2024-04-06T04:33:20.841349Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.509115Z", - "iopub.status.busy": "2024-04-06T04:16:08.508602Z", - "iopub.status.idle": "2024-04-06T04:16:08.516801Z", - "shell.execute_reply": "2024-04-06T04:16:08.516407Z" + "iopub.execute_input": "2024-04-06T04:33:20.843988Z", + "iopub.status.busy": "2024-04-06T04:33:20.843684Z", + "iopub.status.idle": "2024-04-06T04:33:20.852453Z", + "shell.execute_reply": "2024-04-06T04:33:20.851982Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.519036Z", - "iopub.status.busy": "2024-04-06T04:16:08.518506Z", - "iopub.status.idle": "2024-04-06T04:16:08.523968Z", - "shell.execute_reply": "2024-04-06T04:16:08.523558Z" + "iopub.execute_input": "2024-04-06T04:33:20.854597Z", + "iopub.status.busy": "2024-04-06T04:33:20.854199Z", + "iopub.status.idle": "2024-04-06T04:33:20.859815Z", + "shell.execute_reply": "2024-04-06T04:33:20.859258Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.525951Z", - "iopub.status.busy": "2024-04-06T04:16:08.525543Z", - "iopub.status.idle": "2024-04-06T04:16:08.530793Z", - "shell.execute_reply": "2024-04-06T04:16:08.530264Z" + "iopub.execute_input": "2024-04-06T04:33:20.861773Z", + "iopub.status.busy": "2024-04-06T04:33:20.861471Z", + "iopub.status.idle": "2024-04-06T04:33:20.866885Z", + "shell.execute_reply": "2024-04-06T04:33:20.866352Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.532785Z", - "iopub.status.busy": "2024-04-06T04:16:08.532500Z", - "iopub.status.idle": "2024-04-06T04:16:08.535816Z", - "shell.execute_reply": "2024-04-06T04:16:08.535329Z" + "iopub.execute_input": "2024-04-06T04:33:20.869013Z", + "iopub.status.busy": "2024-04-06T04:33:20.868609Z", + "iopub.status.idle": "2024-04-06T04:33:20.872412Z", + "shell.execute_reply": "2024-04-06T04:33:20.871871Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:08.537804Z", - "iopub.status.busy": "2024-04-06T04:16:08.537486Z", - "iopub.status.idle": "2024-04-06T04:16:08.542264Z", - "shell.execute_reply": "2024-04-06T04:16:08.541823Z" + "iopub.execute_input": "2024-04-06T04:33:20.874578Z", + "iopub.status.busy": "2024-04-06T04:33:20.874128Z", + "iopub.status.idle": "2024-04-06T04:33:20.879644Z", + "shell.execute_reply": "2024-04-06T04:33:20.879101Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index 9715b8d4b..31a8923c7 100644 --- a/master/tutorials/dataset_health.ipynb +++ b/master/tutorials/dataset_health.ipynb @@ -68,10 +68,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:11.827441Z", - "iopub.status.busy": "2024-04-06T04:16:11.827268Z", - "iopub.status.idle": "2024-04-06T04:16:12.900240Z", - "shell.execute_reply": "2024-04-06T04:16:12.899649Z" + "iopub.execute_input": "2024-04-06T04:33:24.564833Z", + "iopub.status.busy": "2024-04-06T04:33:24.564645Z", + "iopub.status.idle": "2024-04-06T04:33:25.678241Z", + "shell.execute_reply": "2024-04-06T04:33:25.677637Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -108,10 +108,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.903158Z", - "iopub.status.busy": "2024-04-06T04:16:12.902591Z", - "iopub.status.idle": "2024-04-06T04:16:12.905507Z", - "shell.execute_reply": "2024-04-06T04:16:12.905059Z" + "iopub.execute_input": "2024-04-06T04:33:25.681005Z", + "iopub.status.busy": "2024-04-06T04:33:25.680432Z", + "iopub.status.idle": "2024-04-06T04:33:25.683479Z", + "shell.execute_reply": "2024-04-06T04:33:25.683004Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.907643Z", - "iopub.status.busy": "2024-04-06T04:16:12.907467Z", - "iopub.status.idle": "2024-04-06T04:16:12.919565Z", - "shell.execute_reply": "2024-04-06T04:16:12.919023Z" + "iopub.execute_input": "2024-04-06T04:33:25.685643Z", + "iopub.status.busy": "2024-04-06T04:33:25.685458Z", + "iopub.status.idle": "2024-04-06T04:33:25.698037Z", + "shell.execute_reply": "2024-04-06T04:33:25.697552Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:12.921585Z", - "iopub.status.busy": "2024-04-06T04:16:12.921255Z", - "iopub.status.idle": "2024-04-06T04:16:16.478543Z", - "shell.execute_reply": "2024-04-06T04:16:16.478086Z" + "iopub.execute_input": "2024-04-06T04:33:25.700120Z", + "iopub.status.busy": "2024-04-06T04:33:25.699931Z", + "iopub.status.idle": "2024-04-06T04:33:30.316432Z", + "shell.execute_reply": "2024-04-06T04:33:30.315931Z" }, "id": "dhTHOg8Pyv5G" }, @@ -692,7 +692,13 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 833c9d795..d12576394 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -797,13 +797,13 @@

How can I find label issues in big datasets with limited memory?
-
+
-
+
@@ -1706,7 +1706,7 @@

How to handle near-duplicate data identified by cleanlab? 
-/tmp/ipykernel_7725/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+/tmp/ipykernel_7516/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values

@@ -1748,7 +1748,7 @@

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diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index 084feca40..71792b57a 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:18.630228Z", - "iopub.status.busy": "2024-04-06T04:16:18.629773Z", - "iopub.status.idle": "2024-04-06T04:16:19.717285Z", - "shell.execute_reply": "2024-04-06T04:16:19.716754Z" + "iopub.execute_input": "2024-04-06T04:33:32.453926Z", + "iopub.status.busy": "2024-04-06T04:33:32.453487Z", + "iopub.status.idle": "2024-04-06T04:33:33.577711Z", + "shell.execute_reply": "2024-04-06T04:33:33.577162Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:19.719827Z", - "iopub.status.busy": "2024-04-06T04:16:19.719547Z", - "iopub.status.idle": "2024-04-06T04:16:19.722875Z", - "shell.execute_reply": "2024-04-06T04:16:19.722410Z" + "iopub.execute_input": "2024-04-06T04:33:33.580468Z", + "iopub.status.busy": "2024-04-06T04:33:33.579978Z", + "iopub.status.idle": "2024-04-06T04:33:33.583331Z", + "shell.execute_reply": "2024-04-06T04:33:33.582894Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:19.724721Z", - "iopub.status.busy": "2024-04-06T04:16:19.724550Z", - "iopub.status.idle": "2024-04-06T04:16:22.693080Z", - "shell.execute_reply": "2024-04-06T04:16:22.692344Z" + "iopub.execute_input": "2024-04-06T04:33:33.585545Z", + "iopub.status.busy": "2024-04-06T04:33:33.585109Z", + "iopub.status.idle": "2024-04-06T04:33:36.718652Z", + "shell.execute_reply": "2024-04-06T04:33:36.718005Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.696305Z", - "iopub.status.busy": "2024-04-06T04:16:22.695564Z", - "iopub.status.idle": "2024-04-06T04:16:22.728174Z", - "shell.execute_reply": "2024-04-06T04:16:22.727599Z" + "iopub.execute_input": "2024-04-06T04:33:36.721727Z", + "iopub.status.busy": "2024-04-06T04:33:36.721060Z", + "iopub.status.idle": "2024-04-06T04:33:36.760399Z", + "shell.execute_reply": "2024-04-06T04:33:36.759784Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.730962Z", - "iopub.status.busy": "2024-04-06T04:16:22.730489Z", - "iopub.status.idle": "2024-04-06T04:16:22.760391Z", - "shell.execute_reply": "2024-04-06T04:16:22.759838Z" + "iopub.execute_input": "2024-04-06T04:33:36.763173Z", + "iopub.status.busy": "2024-04-06T04:33:36.762842Z", + "iopub.status.idle": "2024-04-06T04:33:36.801368Z", + "shell.execute_reply": "2024-04-06T04:33:36.800735Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.762715Z", - "iopub.status.busy": "2024-04-06T04:16:22.762463Z", - "iopub.status.idle": "2024-04-06T04:16:22.765481Z", - "shell.execute_reply": "2024-04-06T04:16:22.765022Z" + "iopub.execute_input": "2024-04-06T04:33:36.804245Z", + "iopub.status.busy": "2024-04-06T04:33:36.803821Z", + "iopub.status.idle": "2024-04-06T04:33:36.807084Z", + "shell.execute_reply": "2024-04-06T04:33:36.806596Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.767437Z", - "iopub.status.busy": "2024-04-06T04:16:22.767124Z", - "iopub.status.idle": "2024-04-06T04:16:22.769623Z", - "shell.execute_reply": "2024-04-06T04:16:22.769199Z" + "iopub.execute_input": "2024-04-06T04:33:36.809090Z", + "iopub.status.busy": "2024-04-06T04:33:36.808779Z", + "iopub.status.idle": "2024-04-06T04:33:36.811544Z", + "shell.execute_reply": "2024-04-06T04:33:36.811006Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.771819Z", - "iopub.status.busy": "2024-04-06T04:16:22.771506Z", - "iopub.status.idle": "2024-04-06T04:16:22.796699Z", - "shell.execute_reply": "2024-04-06T04:16:22.796156Z" + "iopub.execute_input": "2024-04-06T04:33:36.813573Z", + "iopub.status.busy": "2024-04-06T04:33:36.813305Z", + "iopub.status.idle": "2024-04-06T04:33:36.837656Z", + "shell.execute_reply": "2024-04-06T04:33:36.837105Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e037cf4389884d2ca6c4c6f8c3db3915", + "model_id": "ad7ffe9f7e104f438570b96387ce328e", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d010c5336fd14cdab1efb31597d6bf6c", + "model_id": "6a93f0182ebb47fc96441f7413ee50a4", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.802394Z", - "iopub.status.busy": "2024-04-06T04:16:22.802218Z", - "iopub.status.idle": "2024-04-06T04:16:22.808522Z", - "shell.execute_reply": "2024-04-06T04:16:22.808123Z" + "iopub.execute_input": "2024-04-06T04:33:36.843747Z", + "iopub.status.busy": "2024-04-06T04:33:36.843506Z", + "iopub.status.idle": "2024-04-06T04:33:36.850771Z", + "shell.execute_reply": "2024-04-06T04:33:36.850304Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.810337Z", - "iopub.status.busy": "2024-04-06T04:16:22.810168Z", - "iopub.status.idle": "2024-04-06T04:16:22.813449Z", - "shell.execute_reply": "2024-04-06T04:16:22.813042Z" + "iopub.execute_input": "2024-04-06T04:33:36.853060Z", + "iopub.status.busy": "2024-04-06T04:33:36.852662Z", + "iopub.status.idle": "2024-04-06T04:33:36.856158Z", + "shell.execute_reply": "2024-04-06T04:33:36.855726Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.815335Z", - "iopub.status.busy": "2024-04-06T04:16:22.815015Z", - "iopub.status.idle": "2024-04-06T04:16:22.821107Z", - "shell.execute_reply": "2024-04-06T04:16:22.820663Z" + "iopub.execute_input": "2024-04-06T04:33:36.858276Z", + "iopub.status.busy": "2024-04-06T04:33:36.858000Z", + "iopub.status.idle": "2024-04-06T04:33:36.864594Z", + "shell.execute_reply": "2024-04-06T04:33:36.864108Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.823126Z", - "iopub.status.busy": "2024-04-06T04:16:22.822797Z", - "iopub.status.idle": "2024-04-06T04:16:22.858959Z", - "shell.execute_reply": "2024-04-06T04:16:22.858293Z" + "iopub.execute_input": "2024-04-06T04:33:36.866698Z", + "iopub.status.busy": "2024-04-06T04:33:36.866352Z", + "iopub.status.idle": "2024-04-06T04:33:36.905959Z", + "shell.execute_reply": "2024-04-06T04:33:36.905317Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.861509Z", - "iopub.status.busy": "2024-04-06T04:16:22.861175Z", - "iopub.status.idle": "2024-04-06T04:16:22.891534Z", - "shell.execute_reply": "2024-04-06T04:16:22.890881Z" + "iopub.execute_input": "2024-04-06T04:33:36.908640Z", + "iopub.status.busy": "2024-04-06T04:33:36.908384Z", + "iopub.status.idle": "2024-04-06T04:33:36.948839Z", + "shell.execute_reply": "2024-04-06T04:33:36.948221Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:22.893902Z", - "iopub.status.busy": "2024-04-06T04:16:22.893675Z", - "iopub.status.idle": "2024-04-06T04:16:23.014413Z", - "shell.execute_reply": "2024-04-06T04:16:23.013794Z" + "iopub.execute_input": "2024-04-06T04:33:36.951895Z", + "iopub.status.busy": "2024-04-06T04:33:36.951511Z", + "iopub.status.idle": "2024-04-06T04:33:37.080581Z", + "shell.execute_reply": "2024-04-06T04:33:37.079922Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:23.017156Z", - "iopub.status.busy": "2024-04-06T04:16:23.016635Z", - "iopub.status.idle": "2024-04-06T04:16:26.020660Z", - "shell.execute_reply": "2024-04-06T04:16:26.019996Z" + "iopub.execute_input": "2024-04-06T04:33:37.083569Z", + "iopub.status.busy": "2024-04-06T04:33:37.082731Z", + "iopub.status.idle": "2024-04-06T04:33:40.126106Z", + "shell.execute_reply": "2024-04-06T04:33:40.125422Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.023206Z", - "iopub.status.busy": "2024-04-06T04:16:26.022830Z", - "iopub.status.idle": "2024-04-06T04:16:26.079432Z", - "shell.execute_reply": "2024-04-06T04:16:26.078859Z" + "iopub.execute_input": "2024-04-06T04:33:40.128582Z", + "iopub.status.busy": "2024-04-06T04:33:40.128353Z", + "iopub.status.idle": "2024-04-06T04:33:40.189416Z", + "shell.execute_reply": "2024-04-06T04:33:40.188788Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.081692Z", - "iopub.status.busy": "2024-04-06T04:16:26.081279Z", - "iopub.status.idle": "2024-04-06T04:16:26.120101Z", - "shell.execute_reply": "2024-04-06T04:16:26.119549Z" + "iopub.execute_input": "2024-04-06T04:33:40.191652Z", + "iopub.status.busy": "2024-04-06T04:33:40.191314Z", + "iopub.status.idle": "2024-04-06T04:33:40.231110Z", + "shell.execute_reply": "2024-04-06T04:33:40.230569Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "d1c22757", + "id": "7997ced4", "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": "efb4bb46", + "id": "57a8d119", "metadata": {}, "source": [ "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n", @@ -1340,13 +1340,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "1e9de073", + "id": "9fb93000", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.122247Z", - "iopub.status.busy": "2024-04-06T04:16:26.121882Z", - "iopub.status.idle": "2024-04-06T04:16:26.245866Z", - "shell.execute_reply": "2024-04-06T04:16:26.245381Z" + "iopub.execute_input": "2024-04-06T04:33:40.233390Z", + "iopub.status.busy": "2024-04-06T04:33:40.233191Z", + "iopub.status.idle": "2024-04-06T04:33:40.327660Z", + "shell.execute_reply": "2024-04-06T04:33:40.327127Z" } }, "outputs": [ @@ -1387,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "c8b9ef58", + "id": "27082dba", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1396,13 +1396,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "c782bf6a", + "id": "5a3f0b1c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.248362Z", - "iopub.status.busy": "2024-04-06T04:16:26.248022Z", - "iopub.status.idle": "2024-04-06T04:16:26.307531Z", - "shell.execute_reply": "2024-04-06T04:16:26.307066Z" + "iopub.execute_input": "2024-04-06T04:33:40.330424Z", + "iopub.status.busy": "2024-04-06T04:33:40.330165Z", + "iopub.status.idle": "2024-04-06T04:33:40.412901Z", + "shell.execute_reply": "2024-04-06T04:33:40.412405Z" } }, "outputs": [ @@ -1445,7 +1445,7 @@ }, { "cell_type": "markdown", - "id": "3e3aeaed", + "id": "bb4c5299", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1456,13 +1456,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "dec49bf1", + "id": "0a847975", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.310799Z", - "iopub.status.busy": "2024-04-06T04:16:26.310063Z", - "iopub.status.idle": "2024-04-06T04:16:26.317904Z", - "shell.execute_reply": "2024-04-06T04:16:26.317453Z" + "iopub.execute_input": "2024-04-06T04:33:40.415545Z", + "iopub.status.busy": "2024-04-06T04:33:40.415364Z", + "iopub.status.idle": "2024-04-06T04:33:40.424747Z", + "shell.execute_reply": "2024-04-06T04:33:40.424323Z" } }, "outputs": [], @@ -1564,7 +1564,7 @@ }, { "cell_type": "markdown", - "id": "3f9f6288", + "id": "f6c74243", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1579,13 +1579,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "6e4b536f", + "id": "665cd26e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.320208Z", - "iopub.status.busy": "2024-04-06T04:16:26.319799Z", - "iopub.status.idle": "2024-04-06T04:16:26.337706Z", - "shell.execute_reply": "2024-04-06T04:16:26.337157Z" + "iopub.execute_input": "2024-04-06T04:33:40.427036Z", + "iopub.status.busy": "2024-04-06T04:33:40.426714Z", + "iopub.status.idle": "2024-04-06T04:33:40.447448Z", + "shell.execute_reply": "2024-04-06T04:33:40.446876Z" } }, "outputs": [ @@ -1602,7 +1602,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7725/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "/tmp/ipykernel_7516/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values\n" ] } @@ -1636,13 +1636,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "0d630068", + "id": "1a0ba0a1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:26.339591Z", - "iopub.status.busy": "2024-04-06T04:16:26.339270Z", - "iopub.status.idle": "2024-04-06T04:16:26.342513Z", - "shell.execute_reply": "2024-04-06T04:16:26.342052Z" + "iopub.execute_input": "2024-04-06T04:33:40.449833Z", + "iopub.status.busy": "2024-04-06T04:33:40.449476Z", + "iopub.status.idle": "2024-04-06T04:33:40.452685Z", + "shell.execute_reply": "2024-04-06T04:33:40.452130Z" } }, "outputs": [ @@ -1737,7 +1737,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "1520c7ddd1e44969881c547a43c9e684": { + "14b2e46a058f49b7877f1e0a8fc3b5b6": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1790,7 +1790,7 @@ "width": null } }, - 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"placeholder": "​", - "style": "IPY_MODEL_efc5471870364072aadad5da8b804efc", + "layout": "IPY_MODEL_be6b5fe0f64b4e89bba0bc6b2e5c249c", + "max": 50.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_cc099a9799bc402bbc12d51076fd879a", "tabbable": null, "tooltip": null, - "value": " 10000/? [00:00<00:00, 1087114.20it/s]" + "value": 50.0 } }, - "efc5471870364072aadad5da8b804efc": { + "f7f940143f124c22a39fad1b33b95e97": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb index 2881453c1..09d453fd1 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": "2024-04-06T04:16:29.430149Z", - "iopub.status.busy": "2024-04-06T04:16:29.429976Z", - "iopub.status.idle": "2024-04-06T04:16:30.564039Z", - "shell.execute_reply": "2024-04-06T04:16:30.563507Z" + "iopub.execute_input": "2024-04-06T04:33:43.785678Z", + "iopub.status.busy": "2024-04-06T04:33:43.785475Z", + "iopub.status.idle": "2024-04-06T04:33:44.953788Z", + "shell.execute_reply": "2024-04-06T04:33:44.953182Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:30.566611Z", - "iopub.status.busy": "2024-04-06T04:16:30.566160Z", - "iopub.status.idle": "2024-04-06T04:16:30.744810Z", - "shell.execute_reply": "2024-04-06T04:16:30.744264Z" + "iopub.execute_input": "2024-04-06T04:33:44.956257Z", + "iopub.status.busy": "2024-04-06T04:33:44.955968Z", + "iopub.status.idle": "2024-04-06T04:33:45.136559Z", + "shell.execute_reply": "2024-04-06T04:33:45.135941Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.747314Z", - "iopub.status.busy": "2024-04-06T04:16:30.747034Z", - "iopub.status.idle": "2024-04-06T04:16:30.759196Z", - "shell.execute_reply": "2024-04-06T04:16:30.758739Z" + "iopub.execute_input": "2024-04-06T04:33:45.139194Z", + "iopub.status.busy": "2024-04-06T04:33:45.138996Z", + "iopub.status.idle": "2024-04-06T04:33:45.151534Z", + "shell.execute_reply": "2024-04-06T04:33:45.150954Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.761130Z", - "iopub.status.busy": "2024-04-06T04:16:30.760804Z", - "iopub.status.idle": "2024-04-06T04:16:30.994613Z", - "shell.execute_reply": "2024-04-06T04:16:30.994052Z" + "iopub.execute_input": "2024-04-06T04:33:45.153835Z", + "iopub.status.busy": "2024-04-06T04:33:45.153455Z", + "iopub.status.idle": "2024-04-06T04:33:45.364208Z", + "shell.execute_reply": "2024-04-06T04:33:45.363567Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:30.996911Z", - "iopub.status.busy": "2024-04-06T04:16:30.996524Z", - "iopub.status.idle": "2024-04-06T04:16:31.022836Z", - "shell.execute_reply": "2024-04-06T04:16:31.022277Z" + "iopub.execute_input": "2024-04-06T04:33:45.366694Z", + "iopub.status.busy": "2024-04-06T04:33:45.366209Z", + "iopub.status.idle": "2024-04-06T04:33:45.393157Z", + "shell.execute_reply": "2024-04-06T04:33:45.392663Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:31.025023Z", - "iopub.status.busy": "2024-04-06T04:16:31.024705Z", - "iopub.status.idle": "2024-04-06T04:16:32.689639Z", - "shell.execute_reply": "2024-04-06T04:16:32.689011Z" + "iopub.execute_input": "2024-04-06T04:33:45.395608Z", + "iopub.status.busy": "2024-04-06T04:33:45.395250Z", + "iopub.status.idle": "2024-04-06T04:33:47.125309Z", + "shell.execute_reply": "2024-04-06T04:33:47.124671Z" } }, "outputs": [ @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:32.692739Z", - "iopub.status.busy": "2024-04-06T04:16:32.691806Z", - "iopub.status.idle": "2024-04-06T04:16:32.710096Z", - "shell.execute_reply": "2024-04-06T04:16:32.709655Z" + "iopub.execute_input": "2024-04-06T04:33:47.127865Z", + "iopub.status.busy": "2024-04-06T04:33:47.127360Z", + "iopub.status.idle": "2024-04-06T04:33:47.146064Z", + "shell.execute_reply": "2024-04-06T04:33:47.145478Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:32.712277Z", - "iopub.status.busy": "2024-04-06T04:16:32.711888Z", - "iopub.status.idle": "2024-04-06T04:16:34.121379Z", - "shell.execute_reply": "2024-04-06T04:16:34.120829Z" + "iopub.execute_input": "2024-04-06T04:33:47.148206Z", + "iopub.status.busy": "2024-04-06T04:33:47.148010Z", + "iopub.status.idle": "2024-04-06T04:33:48.575713Z", + "shell.execute_reply": "2024-04-06T04:33:48.575123Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.124260Z", - "iopub.status.busy": "2024-04-06T04:16:34.123450Z", - "iopub.status.idle": "2024-04-06T04:16:34.137159Z", - "shell.execute_reply": "2024-04-06T04:16:34.136699Z" + "iopub.execute_input": "2024-04-06T04:33:48.578373Z", + "iopub.status.busy": "2024-04-06T04:33:48.577728Z", + "iopub.status.idle": "2024-04-06T04:33:48.591925Z", + "shell.execute_reply": "2024-04-06T04:33:48.591473Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.139252Z", - "iopub.status.busy": "2024-04-06T04:16:34.138914Z", - "iopub.status.idle": "2024-04-06T04:16:34.214593Z", - "shell.execute_reply": "2024-04-06T04:16:34.213981Z" + "iopub.execute_input": "2024-04-06T04:33:48.594180Z", + "iopub.status.busy": "2024-04-06T04:33:48.593840Z", + "iopub.status.idle": "2024-04-06T04:33:48.670108Z", + "shell.execute_reply": "2024-04-06T04:33:48.669540Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.217043Z", - "iopub.status.busy": "2024-04-06T04:16:34.216564Z", - "iopub.status.idle": "2024-04-06T04:16:34.429068Z", - "shell.execute_reply": "2024-04-06T04:16:34.428507Z" + "iopub.execute_input": "2024-04-06T04:33:48.672461Z", + "iopub.status.busy": "2024-04-06T04:33:48.672082Z", + "iopub.status.idle": "2024-04-06T04:33:48.894054Z", + "shell.execute_reply": "2024-04-06T04:33:48.893460Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.431328Z", - "iopub.status.busy": "2024-04-06T04:16:34.430969Z", - "iopub.status.idle": "2024-04-06T04:16:34.447948Z", - "shell.execute_reply": "2024-04-06T04:16:34.447502Z" + "iopub.execute_input": "2024-04-06T04:33:48.896310Z", + "iopub.status.busy": "2024-04-06T04:33:48.895957Z", + "iopub.status.idle": "2024-04-06T04:33:48.912992Z", + "shell.execute_reply": "2024-04-06T04:33:48.912438Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.450049Z", - "iopub.status.busy": "2024-04-06T04:16:34.449680Z", - "iopub.status.idle": "2024-04-06T04:16:34.459136Z", - "shell.execute_reply": "2024-04-06T04:16:34.458684Z" + "iopub.execute_input": "2024-04-06T04:33:48.915370Z", + "iopub.status.busy": "2024-04-06T04:33:48.914978Z", + "iopub.status.idle": "2024-04-06T04:33:48.925166Z", + "shell.execute_reply": "2024-04-06T04:33:48.924650Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.461189Z", - "iopub.status.busy": "2024-04-06T04:16:34.460883Z", - "iopub.status.idle": "2024-04-06T04:16:34.546980Z", - "shell.execute_reply": "2024-04-06T04:16:34.546388Z" + "iopub.execute_input": "2024-04-06T04:33:48.927196Z", + "iopub.status.busy": "2024-04-06T04:33:48.927015Z", + "iopub.status.idle": "2024-04-06T04:33:49.014441Z", + "shell.execute_reply": "2024-04-06T04:33:49.013806Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.549416Z", - "iopub.status.busy": "2024-04-06T04:16:34.549081Z", - "iopub.status.idle": "2024-04-06T04:16:34.666036Z", - "shell.execute_reply": "2024-04-06T04:16:34.665491Z" + "iopub.execute_input": "2024-04-06T04:33:49.016777Z", + "iopub.status.busy": "2024-04-06T04:33:49.016537Z", + "iopub.status.idle": "2024-04-06T04:33:49.145893Z", + "shell.execute_reply": "2024-04-06T04:33:49.145286Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.668421Z", - "iopub.status.busy": "2024-04-06T04:16:34.668052Z", - "iopub.status.idle": "2024-04-06T04:16:34.671958Z", - "shell.execute_reply": "2024-04-06T04:16:34.671475Z" + "iopub.execute_input": "2024-04-06T04:33:49.148236Z", + "iopub.status.busy": "2024-04-06T04:33:49.148006Z", + "iopub.status.idle": "2024-04-06T04:33:49.151659Z", + "shell.execute_reply": "2024-04-06T04:33:49.151136Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.673935Z", - "iopub.status.busy": "2024-04-06T04:16:34.673637Z", - "iopub.status.idle": "2024-04-06T04:16:34.677407Z", - "shell.execute_reply": "2024-04-06T04:16:34.676851Z" + "iopub.execute_input": "2024-04-06T04:33:49.153711Z", + "iopub.status.busy": "2024-04-06T04:33:49.153349Z", + "iopub.status.idle": "2024-04-06T04:33:49.157155Z", + "shell.execute_reply": "2024-04-06T04:33:49.156622Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.679348Z", - "iopub.status.busy": "2024-04-06T04:16:34.679087Z", - "iopub.status.idle": "2024-04-06T04:16:34.717109Z", - "shell.execute_reply": "2024-04-06T04:16:34.716638Z" + "iopub.execute_input": "2024-04-06T04:33:49.159176Z", + "iopub.status.busy": "2024-04-06T04:33:49.158878Z", + "iopub.status.idle": "2024-04-06T04:33:49.196839Z", + "shell.execute_reply": "2024-04-06T04:33:49.196263Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.719238Z", - "iopub.status.busy": "2024-04-06T04:16:34.718854Z", - "iopub.status.idle": "2024-04-06T04:16:34.761595Z", - "shell.execute_reply": "2024-04-06T04:16:34.761037Z" + "iopub.execute_input": "2024-04-06T04:33:49.198950Z", + "iopub.status.busy": "2024-04-06T04:33:49.198645Z", + "iopub.status.idle": "2024-04-06T04:33:49.242193Z", + "shell.execute_reply": "2024-04-06T04:33:49.241610Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.763590Z", - "iopub.status.busy": "2024-04-06T04:16:34.763291Z", - "iopub.status.idle": "2024-04-06T04:16:34.854715Z", - "shell.execute_reply": "2024-04-06T04:16:34.854134Z" + "iopub.execute_input": "2024-04-06T04:33:49.244487Z", + "iopub.status.busy": "2024-04-06T04:33:49.244090Z", + "iopub.status.idle": "2024-04-06T04:33:49.337248Z", + "shell.execute_reply": "2024-04-06T04:33:49.336579Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.857415Z", - "iopub.status.busy": "2024-04-06T04:16:34.857033Z", - "iopub.status.idle": "2024-04-06T04:16:34.939418Z", - "shell.execute_reply": "2024-04-06T04:16:34.938882Z" + "iopub.execute_input": "2024-04-06T04:33:49.339846Z", + "iopub.status.busy": "2024-04-06T04:33:49.339620Z", + "iopub.status.idle": "2024-04-06T04:33:49.430742Z", + "shell.execute_reply": "2024-04-06T04:33:49.430143Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:34.941858Z", - "iopub.status.busy": "2024-04-06T04:16:34.941389Z", - "iopub.status.idle": "2024-04-06T04:16:35.149130Z", - "shell.execute_reply": "2024-04-06T04:16:35.148549Z" + "iopub.execute_input": "2024-04-06T04:33:49.432983Z", + "iopub.status.busy": "2024-04-06T04:33:49.432697Z", + "iopub.status.idle": "2024-04-06T04:33:49.645127Z", + "shell.execute_reply": "2024-04-06T04:33:49.644551Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.151469Z", - "iopub.status.busy": "2024-04-06T04:16:35.151106Z", - "iopub.status.idle": "2024-04-06T04:16:35.321162Z", - "shell.execute_reply": "2024-04-06T04:16:35.320562Z" + "iopub.execute_input": "2024-04-06T04:33:49.647536Z", + "iopub.status.busy": "2024-04-06T04:33:49.647110Z", + "iopub.status.idle": "2024-04-06T04:33:49.836451Z", + "shell.execute_reply": "2024-04-06T04:33:49.835806Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.323607Z", - "iopub.status.busy": "2024-04-06T04:16:35.323218Z", - "iopub.status.idle": "2024-04-06T04:16:35.329092Z", - "shell.execute_reply": "2024-04-06T04:16:35.328658Z" + "iopub.execute_input": "2024-04-06T04:33:49.838935Z", + "iopub.status.busy": "2024-04-06T04:33:49.838446Z", + "iopub.status.idle": "2024-04-06T04:33:49.845067Z", + "shell.execute_reply": "2024-04-06T04:33:49.844540Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.331109Z", - "iopub.status.busy": "2024-04-06T04:16:35.330777Z", - "iopub.status.idle": "2024-04-06T04:16:35.549947Z", - "shell.execute_reply": "2024-04-06T04:16:35.549322Z" + "iopub.execute_input": "2024-04-06T04:33:49.847230Z", + "iopub.status.busy": "2024-04-06T04:33:49.846825Z", + "iopub.status.idle": "2024-04-06T04:33:50.065771Z", + "shell.execute_reply": "2024-04-06T04:33:50.065168Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:35.552571Z", - "iopub.status.busy": "2024-04-06T04:16:35.552084Z", - "iopub.status.idle": "2024-04-06T04:16:36.614576Z", - "shell.execute_reply": "2024-04-06T04:16:36.613951Z" + "iopub.execute_input": "2024-04-06T04:33:50.068226Z", + "iopub.status.busy": "2024-04-06T04:33:50.067840Z", + "iopub.status.idle": "2024-04-06T04:33:51.143014Z", + "shell.execute_reply": "2024-04-06T04:33:51.142387Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb index 8d64c845b..f2ec4a55c 100644 --- a/master/tutorials/multiannotator.ipynb +++ b/master/tutorials/multiannotator.ipynb @@ -89,10 +89,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:39.842682Z", - "iopub.status.busy": "2024-04-06T04:16:39.842493Z", - "iopub.status.idle": "2024-04-06T04:16:40.904249Z", - "shell.execute_reply": "2024-04-06T04:16:40.903707Z" + "iopub.execute_input": "2024-04-06T04:33:54.655001Z", + "iopub.status.busy": "2024-04-06T04:33:54.654839Z", + "iopub.status.idle": "2024-04-06T04:33:55.737154Z", + "shell.execute_reply": "2024-04-06T04:33:55.736607Z" }, "nbsphinx": "hidden" }, @@ -102,7 +102,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -136,10 +136,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.906864Z", - "iopub.status.busy": "2024-04-06T04:16:40.906350Z", - "iopub.status.idle": "2024-04-06T04:16:40.909410Z", - "shell.execute_reply": "2024-04-06T04:16:40.908973Z" + "iopub.execute_input": "2024-04-06T04:33:55.739856Z", + "iopub.status.busy": "2024-04-06T04:33:55.739430Z", + "iopub.status.idle": "2024-04-06T04:33:55.742481Z", + "shell.execute_reply": "2024-04-06T04:33:55.741958Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.911516Z", - "iopub.status.busy": "2024-04-06T04:16:40.911185Z", - "iopub.status.idle": "2024-04-06T04:16:40.918926Z", - "shell.execute_reply": "2024-04-06T04:16:40.918454Z" + "iopub.execute_input": "2024-04-06T04:33:55.744755Z", + "iopub.status.busy": "2024-04-06T04:33:55.744422Z", + "iopub.status.idle": "2024-04-06T04:33:55.752051Z", + "shell.execute_reply": "2024-04-06T04:33:55.751620Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.920875Z", - "iopub.status.busy": "2024-04-06T04:16:40.920484Z", - "iopub.status.idle": "2024-04-06T04:16:40.968362Z", - "shell.execute_reply": "2024-04-06T04:16:40.967839Z" + "iopub.execute_input": "2024-04-06T04:33:55.754050Z", + "iopub.status.busy": "2024-04-06T04:33:55.753666Z", + "iopub.status.idle": "2024-04-06T04:33:55.808130Z", + "shell.execute_reply": "2024-04-06T04:33:55.807549Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.970431Z", - "iopub.status.busy": "2024-04-06T04:16:40.970252Z", - "iopub.status.idle": "2024-04-06T04:16:40.987654Z", - "shell.execute_reply": "2024-04-06T04:16:40.987139Z" + "iopub.execute_input": "2024-04-06T04:33:55.810525Z", + "iopub.status.busy": "2024-04-06T04:33:55.810206Z", + "iopub.status.idle": "2024-04-06T04:33:55.827426Z", + "shell.execute_reply": "2024-04-06T04:33:55.826967Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.989600Z", - "iopub.status.busy": "2024-04-06T04:16:40.989419Z", - "iopub.status.idle": "2024-04-06T04:16:40.993163Z", - "shell.execute_reply": "2024-04-06T04:16:40.992637Z" + "iopub.execute_input": "2024-04-06T04:33:55.829293Z", + "iopub.status.busy": "2024-04-06T04:33:55.829117Z", + "iopub.status.idle": "2024-04-06T04:33:55.833052Z", + "shell.execute_reply": "2024-04-06T04:33:55.832518Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:40.995099Z", - "iopub.status.busy": "2024-04-06T04:16:40.994924Z", - "iopub.status.idle": "2024-04-06T04:16:41.025782Z", - "shell.execute_reply": "2024-04-06T04:16:41.025242Z" + "iopub.execute_input": "2024-04-06T04:33:55.835165Z", + "iopub.status.busy": "2024-04-06T04:33:55.834833Z", + "iopub.status.idle": "2024-04-06T04:33:55.865218Z", + "shell.execute_reply": "2024-04-06T04:33:55.864706Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:41.027997Z", - "iopub.status.busy": "2024-04-06T04:16:41.027687Z", - "iopub.status.idle": "2024-04-06T04:16:41.054554Z", - "shell.execute_reply": "2024-04-06T04:16:41.053960Z" + "iopub.execute_input": "2024-04-06T04:33:55.867653Z", + "iopub.status.busy": "2024-04-06T04:33:55.867231Z", + "iopub.status.idle": "2024-04-06T04:33:55.894195Z", + "shell.execute_reply": "2024-04-06T04:33:55.893624Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:41.057159Z", - "iopub.status.busy": "2024-04-06T04:16:41.056783Z", - "iopub.status.idle": "2024-04-06T04:16:42.790293Z", - "shell.execute_reply": "2024-04-06T04:16:42.789738Z" + "iopub.execute_input": "2024-04-06T04:33:55.896247Z", + "iopub.status.busy": "2024-04-06T04:33:55.896066Z", + "iopub.status.idle": "2024-04-06T04:33:57.627098Z", + "shell.execute_reply": "2024-04-06T04:33:57.626566Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.792876Z", - "iopub.status.busy": "2024-04-06T04:16:42.792440Z", - "iopub.status.idle": "2024-04-06T04:16:42.798968Z", - "shell.execute_reply": "2024-04-06T04:16:42.798521Z" + "iopub.execute_input": "2024-04-06T04:33:57.629758Z", + "iopub.status.busy": "2024-04-06T04:33:57.629236Z", + "iopub.status.idle": "2024-04-06T04:33:57.636079Z", + "shell.execute_reply": "2024-04-06T04:33:57.635555Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.800896Z", - "iopub.status.busy": "2024-04-06T04:16:42.800578Z", - "iopub.status.idle": "2024-04-06T04:16:42.816097Z", - "shell.execute_reply": "2024-04-06T04:16:42.815514Z" + "iopub.execute_input": "2024-04-06T04:33:57.638210Z", + "iopub.status.busy": "2024-04-06T04:33:57.637876Z", + "iopub.status.idle": "2024-04-06T04:33:57.650276Z", + "shell.execute_reply": "2024-04-06T04:33:57.649820Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.818053Z", - "iopub.status.busy": "2024-04-06T04:16:42.817877Z", - "iopub.status.idle": "2024-04-06T04:16:42.824509Z", - "shell.execute_reply": "2024-04-06T04:16:42.824076Z" + "iopub.execute_input": "2024-04-06T04:33:57.652252Z", + "iopub.status.busy": "2024-04-06T04:33:57.651928Z", + "iopub.status.idle": "2024-04-06T04:33:57.658292Z", + "shell.execute_reply": "2024-04-06T04:33:57.657737Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.826513Z", - "iopub.status.busy": "2024-04-06T04:16:42.826215Z", - "iopub.status.idle": "2024-04-06T04:16:42.828918Z", - "shell.execute_reply": "2024-04-06T04:16:42.828390Z" + "iopub.execute_input": "2024-04-06T04:33:57.660348Z", + "iopub.status.busy": "2024-04-06T04:33:57.660033Z", + "iopub.status.idle": "2024-04-06T04:33:57.662546Z", + "shell.execute_reply": "2024-04-06T04:33:57.662096Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.831070Z", - "iopub.status.busy": "2024-04-06T04:16:42.830715Z", - "iopub.status.idle": "2024-04-06T04:16:42.834322Z", - "shell.execute_reply": "2024-04-06T04:16:42.833878Z" + "iopub.execute_input": "2024-04-06T04:33:57.664568Z", + "iopub.status.busy": "2024-04-06T04:33:57.664236Z", + "iopub.status.idle": "2024-04-06T04:33:57.667775Z", + "shell.execute_reply": "2024-04-06T04:33:57.667336Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.836385Z", - "iopub.status.busy": "2024-04-06T04:16:42.836066Z", - "iopub.status.idle": "2024-04-06T04:16:42.838499Z", - "shell.execute_reply": "2024-04-06T04:16:42.838092Z" + "iopub.execute_input": "2024-04-06T04:33:57.669724Z", + "iopub.status.busy": "2024-04-06T04:33:57.669426Z", + "iopub.status.idle": "2024-04-06T04:33:57.672060Z", + "shell.execute_reply": "2024-04-06T04:33:57.671546Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.840349Z", - "iopub.status.busy": "2024-04-06T04:16:42.840178Z", - "iopub.status.idle": "2024-04-06T04:16:42.844214Z", - "shell.execute_reply": "2024-04-06T04:16:42.843709Z" + "iopub.execute_input": "2024-04-06T04:33:57.673964Z", + "iopub.status.busy": "2024-04-06T04:33:57.673653Z", + "iopub.status.idle": "2024-04-06T04:33:57.677802Z", + "shell.execute_reply": "2024-04-06T04:33:57.677364Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.846196Z", - "iopub.status.busy": "2024-04-06T04:16:42.845918Z", - "iopub.status.idle": "2024-04-06T04:16:42.875194Z", - "shell.execute_reply": "2024-04-06T04:16:42.874785Z" + "iopub.execute_input": "2024-04-06T04:33:57.679746Z", + "iopub.status.busy": "2024-04-06T04:33:57.679562Z", + "iopub.status.idle": "2024-04-06T04:33:57.708692Z", + "shell.execute_reply": "2024-04-06T04:33:57.708184Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:42.877276Z", - "iopub.status.busy": "2024-04-06T04:16:42.876861Z", - "iopub.status.idle": "2024-04-06T04:16:42.881783Z", - "shell.execute_reply": "2024-04-06T04:16:42.881248Z" + "iopub.execute_input": "2024-04-06T04:33:57.711548Z", + "iopub.status.busy": "2024-04-06T04:33:57.711062Z", + "iopub.status.idle": "2024-04-06T04:33:57.716161Z", + "shell.execute_reply": "2024-04-06T04:33:57.715701Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb index e4aafbf21..e4f3da5a6 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": "2024-04-06T04:16:45.661544Z", - "iopub.status.busy": "2024-04-06T04:16:45.661196Z", - "iopub.status.idle": "2024-04-06T04:16:46.809800Z", - "shell.execute_reply": "2024-04-06T04:16:46.809269Z" + "iopub.execute_input": "2024-04-06T04:34:00.530023Z", + "iopub.status.busy": "2024-04-06T04:34:00.529838Z", + "iopub.status.idle": "2024-04-06T04:34:01.665208Z", + "shell.execute_reply": "2024-04-06T04:34:01.664664Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:46.812367Z", - "iopub.status.busy": "2024-04-06T04:16:46.811955Z", - "iopub.status.idle": "2024-04-06T04:16:47.004877Z", - "shell.execute_reply": "2024-04-06T04:16:47.004387Z" + "iopub.execute_input": "2024-04-06T04:34:01.667949Z", + "iopub.status.busy": "2024-04-06T04:34:01.667372Z", + "iopub.status.idle": "2024-04-06T04:34:01.860713Z", + "shell.execute_reply": "2024-04-06T04:34:01.860104Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:47.007627Z", - "iopub.status.busy": "2024-04-06T04:16:47.007171Z", - "iopub.status.idle": "2024-04-06T04:16:47.020533Z", - "shell.execute_reply": "2024-04-06T04:16:47.019988Z" + "iopub.execute_input": "2024-04-06T04:34:01.863387Z", + "iopub.status.busy": "2024-04-06T04:34:01.863099Z", + "iopub.status.idle": "2024-04-06T04:34:01.876408Z", + "shell.execute_reply": "2024-04-06T04:34:01.875857Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:47.022765Z", - "iopub.status.busy": "2024-04-06T04:16:47.022336Z", - "iopub.status.idle": "2024-04-06T04:16:49.666131Z", - "shell.execute_reply": "2024-04-06T04:16:49.665587Z" + "iopub.execute_input": "2024-04-06T04:34:01.878382Z", + "iopub.status.busy": "2024-04-06T04:34:01.878075Z", + "iopub.status.idle": "2024-04-06T04:34:04.553375Z", + "shell.execute_reply": "2024-04-06T04:34:04.552763Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:49.668424Z", - "iopub.status.busy": "2024-04-06T04:16:49.668078Z", - "iopub.status.idle": "2024-04-06T04:16:51.001650Z", - "shell.execute_reply": "2024-04-06T04:16:51.001036Z" + "iopub.execute_input": "2024-04-06T04:34:04.555866Z", + "iopub.status.busy": "2024-04-06T04:34:04.555447Z", + "iopub.status.idle": "2024-04-06T04:34:05.899176Z", + "shell.execute_reply": "2024-04-06T04:34:05.898628Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:51.004148Z", - "iopub.status.busy": "2024-04-06T04:16:51.003951Z", - "iopub.status.idle": "2024-04-06T04:16:51.007855Z", - "shell.execute_reply": "2024-04-06T04:16:51.007326Z" + "iopub.execute_input": "2024-04-06T04:34:05.901446Z", + "iopub.status.busy": "2024-04-06T04:34:05.901252Z", + "iopub.status.idle": "2024-04-06T04:34:05.905303Z", + "shell.execute_reply": "2024-04-06T04:34:05.904832Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:51.009845Z", - "iopub.status.busy": "2024-04-06T04:16:51.009540Z", - "iopub.status.idle": "2024-04-06T04:16:52.782092Z", - "shell.execute_reply": "2024-04-06T04:16:52.781517Z" + "iopub.execute_input": "2024-04-06T04:34:05.907229Z", + "iopub.status.busy": "2024-04-06T04:34:05.906935Z", + "iopub.status.idle": "2024-04-06T04:34:07.727455Z", + "shell.execute_reply": "2024-04-06T04:34:07.726870Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:52.784717Z", - "iopub.status.busy": "2024-04-06T04:16:52.784151Z", - "iopub.status.idle": "2024-04-06T04:16:52.792831Z", - "shell.execute_reply": "2024-04-06T04:16:52.792340Z" + "iopub.execute_input": "2024-04-06T04:34:07.730219Z", + "iopub.status.busy": "2024-04-06T04:34:07.729486Z", + "iopub.status.idle": "2024-04-06T04:34:07.737826Z", + "shell.execute_reply": "2024-04-06T04:34:07.737345Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:52.794793Z", - "iopub.status.busy": "2024-04-06T04:16:52.794582Z", - "iopub.status.idle": "2024-04-06T04:16:55.366851Z", - "shell.execute_reply": "2024-04-06T04:16:55.366274Z" + "iopub.execute_input": "2024-04-06T04:34:07.739895Z", + "iopub.status.busy": "2024-04-06T04:34:07.739580Z", + "iopub.status.idle": "2024-04-06T04:34:10.345477Z", + "shell.execute_reply": "2024-04-06T04:34:10.344972Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.369004Z", - "iopub.status.busy": "2024-04-06T04:16:55.368810Z", - "iopub.status.idle": "2024-04-06T04:16:55.372208Z", - "shell.execute_reply": "2024-04-06T04:16:55.371683Z" + "iopub.execute_input": "2024-04-06T04:34:10.347724Z", + "iopub.status.busy": "2024-04-06T04:34:10.347360Z", + "iopub.status.idle": "2024-04-06T04:34:10.351001Z", + "shell.execute_reply": "2024-04-06T04:34:10.350556Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.374049Z", - "iopub.status.busy": "2024-04-06T04:16:55.373882Z", - "iopub.status.idle": "2024-04-06T04:16:55.377805Z", - "shell.execute_reply": "2024-04-06T04:16:55.377374Z" + "iopub.execute_input": "2024-04-06T04:34:10.352909Z", + "iopub.status.busy": "2024-04-06T04:34:10.352732Z", + "iopub.status.idle": "2024-04-06T04:34:10.357176Z", + "shell.execute_reply": "2024-04-06T04:34:10.356760Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:55.379630Z", - "iopub.status.busy": "2024-04-06T04:16:55.379460Z", - "iopub.status.idle": "2024-04-06T04:16:55.382604Z", - "shell.execute_reply": "2024-04-06T04:16:55.382172Z" + "iopub.execute_input": "2024-04-06T04:34:10.359140Z", + "iopub.status.busy": "2024-04-06T04:34:10.358816Z", + "iopub.status.idle": "2024-04-06T04:34:10.361865Z", + "shell.execute_reply": "2024-04-06T04:34:10.361423Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb index 4e7470bcf..a41b44c5c 100644 --- a/master/tutorials/object_detection.ipynb +++ b/master/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:16:57.779764Z", - "iopub.status.busy": "2024-04-06T04:16:57.779362Z", - "iopub.status.idle": "2024-04-06T04:16:58.917468Z", - "shell.execute_reply": "2024-04-06T04:16:58.916926Z" + "iopub.execute_input": "2024-04-06T04:34:12.844775Z", + "iopub.status.busy": "2024-04-06T04:34:12.844311Z", + "iopub.status.idle": "2024-04-06T04:34:13.980776Z", + "shell.execute_reply": "2024-04-06T04:34:13.980176Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:16:58.920171Z", - "iopub.status.busy": "2024-04-06T04:16:58.919730Z", - "iopub.status.idle": "2024-04-06T04:17:00.402818Z", - "shell.execute_reply": "2024-04-06T04:17:00.402146Z" + "iopub.execute_input": "2024-04-06T04:34:13.983263Z", + "iopub.status.busy": "2024-04-06T04:34:13.983016Z", + "iopub.status.idle": "2024-04-06T04:34:15.579622Z", + "shell.execute_reply": "2024-04-06T04:34:15.579010Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.405560Z", - "iopub.status.busy": "2024-04-06T04:17:00.405171Z", - "iopub.status.idle": "2024-04-06T04:17:00.408489Z", - "shell.execute_reply": "2024-04-06T04:17:00.408036Z" + "iopub.execute_input": "2024-04-06T04:34:15.582324Z", + "iopub.status.busy": "2024-04-06T04:34:15.581949Z", + "iopub.status.idle": "2024-04-06T04:34:15.585226Z", + "shell.execute_reply": "2024-04-06T04:34:15.584699Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.410471Z", - "iopub.status.busy": "2024-04-06T04:17:00.410144Z", - "iopub.status.idle": "2024-04-06T04:17:00.417033Z", - "shell.execute_reply": "2024-04-06T04:17:00.416605Z" + "iopub.execute_input": "2024-04-06T04:34:15.587256Z", + "iopub.status.busy": "2024-04-06T04:34:15.586885Z", + "iopub.status.idle": "2024-04-06T04:34:15.593670Z", + "shell.execute_reply": "2024-04-06T04:34:15.593228Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.418981Z", - "iopub.status.busy": "2024-04-06T04:17:00.418714Z", - "iopub.status.idle": "2024-04-06T04:17:00.912054Z", - "shell.execute_reply": "2024-04-06T04:17:00.911471Z" + "iopub.execute_input": "2024-04-06T04:34:15.595551Z", + "iopub.status.busy": "2024-04-06T04:34:15.595372Z", + "iopub.status.idle": "2024-04-06T04:34:16.077823Z", + "shell.execute_reply": "2024-04-06T04:34:16.077255Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.914527Z", - "iopub.status.busy": "2024-04-06T04:17:00.914334Z", - "iopub.status.idle": "2024-04-06T04:17:00.919763Z", - "shell.execute_reply": "2024-04-06T04:17:00.919333Z" + "iopub.execute_input": "2024-04-06T04:34:16.079945Z", + "iopub.status.busy": "2024-04-06T04:34:16.079765Z", + "iopub.status.idle": "2024-04-06T04:34:16.085000Z", + "shell.execute_reply": "2024-04-06T04:34:16.084559Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.921551Z", - "iopub.status.busy": "2024-04-06T04:17:00.921376Z", - "iopub.status.idle": "2024-04-06T04:17:00.925216Z", - "shell.execute_reply": "2024-04-06T04:17:00.924803Z" + "iopub.execute_input": "2024-04-06T04:34:16.086986Z", + "iopub.status.busy": "2024-04-06T04:34:16.086699Z", + "iopub.status.idle": "2024-04-06T04:34:16.090564Z", + "shell.execute_reply": "2024-04-06T04:34:16.090132Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:00.927291Z", - "iopub.status.busy": "2024-04-06T04:17:00.926918Z", - "iopub.status.idle": "2024-04-06T04:17:01.586996Z", - "shell.execute_reply": "2024-04-06T04:17:01.586405Z" + "iopub.execute_input": "2024-04-06T04:34:16.092402Z", + "iopub.status.busy": "2024-04-06T04:34:16.092226Z", + "iopub.status.idle": "2024-04-06T04:34:16.742313Z", + "shell.execute_reply": "2024-04-06T04:34:16.741698Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.589592Z", - "iopub.status.busy": "2024-04-06T04:17:01.589103Z", - "iopub.status.idle": "2024-04-06T04:17:01.838973Z", - "shell.execute_reply": "2024-04-06T04:17:01.838457Z" + "iopub.execute_input": "2024-04-06T04:34:16.744425Z", + "iopub.status.busy": "2024-04-06T04:34:16.744233Z", + "iopub.status.idle": "2024-04-06T04:34:16.915555Z", + "shell.execute_reply": "2024-04-06T04:34:16.915036Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.841138Z", - "iopub.status.busy": "2024-04-06T04:17:01.840761Z", - "iopub.status.idle": "2024-04-06T04:17:01.845105Z", - "shell.execute_reply": "2024-04-06T04:17:01.844587Z" + "iopub.execute_input": "2024-04-06T04:34:16.917406Z", + "iopub.status.busy": "2024-04-06T04:34:16.917231Z", + "iopub.status.idle": "2024-04-06T04:34:16.921449Z", + "shell.execute_reply": "2024-04-06T04:34:16.921026Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:01.847194Z", - "iopub.status.busy": "2024-04-06T04:17:01.846830Z", - "iopub.status.idle": "2024-04-06T04:17:02.307982Z", - "shell.execute_reply": "2024-04-06T04:17:02.307425Z" + "iopub.execute_input": "2024-04-06T04:34:16.923486Z", + "iopub.status.busy": "2024-04-06T04:34:16.923119Z", + "iopub.status.idle": "2024-04-06T04:34:17.368354Z", + "shell.execute_reply": "2024-04-06T04:34:17.367768Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.310165Z", - "iopub.status.busy": "2024-04-06T04:17:02.309824Z", - "iopub.status.idle": "2024-04-06T04:17:02.642945Z", - "shell.execute_reply": "2024-04-06T04:17:02.642387Z" + "iopub.execute_input": "2024-04-06T04:34:17.371163Z", + "iopub.status.busy": "2024-04-06T04:34:17.370822Z", + "iopub.status.idle": "2024-04-06T04:34:17.674268Z", + "shell.execute_reply": "2024-04-06T04:34:17.673692Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.645608Z", - "iopub.status.busy": "2024-04-06T04:17:02.645319Z", - "iopub.status.idle": "2024-04-06T04:17:02.979231Z", - "shell.execute_reply": "2024-04-06T04:17:02.978692Z" + "iopub.execute_input": "2024-04-06T04:34:17.676624Z", + "iopub.status.busy": "2024-04-06T04:34:17.676303Z", + "iopub.status.idle": "2024-04-06T04:34:18.037637Z", + "shell.execute_reply": "2024-04-06T04:34:18.037134Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:02.982484Z", - "iopub.status.busy": "2024-04-06T04:17:02.982127Z", - "iopub.status.idle": "2024-04-06T04:17:03.390843Z", - "shell.execute_reply": "2024-04-06T04:17:03.390270Z" + "iopub.execute_input": "2024-04-06T04:34:18.040616Z", + "iopub.status.busy": "2024-04-06T04:34:18.040298Z", + "iopub.status.idle": "2024-04-06T04:34:18.480221Z", + "shell.execute_reply": "2024-04-06T04:34:18.479710Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:03.395055Z", - "iopub.status.busy": "2024-04-06T04:17:03.394665Z", - "iopub.status.idle": "2024-04-06T04:17:03.813261Z", - "shell.execute_reply": "2024-04-06T04:17:03.812709Z" + "iopub.execute_input": "2024-04-06T04:34:18.484224Z", + "iopub.status.busy": "2024-04-06T04:34:18.483951Z", + "iopub.status.idle": "2024-04-06T04:34:18.910308Z", + "shell.execute_reply": "2024-04-06T04:34:18.909828Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:03.816607Z", - "iopub.status.busy": "2024-04-06T04:17:03.816267Z", - "iopub.status.idle": "2024-04-06T04:17:04.006027Z", - "shell.execute_reply": "2024-04-06T04:17:04.005432Z" + "iopub.execute_input": "2024-04-06T04:34:18.912281Z", + "iopub.status.busy": "2024-04-06T04:34:18.912098Z", + "iopub.status.idle": "2024-04-06T04:34:19.127034Z", + "shell.execute_reply": "2024-04-06T04:34:19.126447Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.008508Z", - "iopub.status.busy": "2024-04-06T04:17:04.008064Z", - "iopub.status.idle": "2024-04-06T04:17:04.193210Z", - "shell.execute_reply": "2024-04-06T04:17:04.192639Z" + "iopub.execute_input": "2024-04-06T04:34:19.129044Z", + "iopub.status.busy": "2024-04-06T04:34:19.128856Z", + "iopub.status.idle": "2024-04-06T04:34:19.327498Z", + "shell.execute_reply": "2024-04-06T04:34:19.327017Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.195887Z", - "iopub.status.busy": "2024-04-06T04:17:04.195463Z", - "iopub.status.idle": "2024-04-06T04:17:04.198586Z", - "shell.execute_reply": "2024-04-06T04:17:04.198082Z" + "iopub.execute_input": "2024-04-06T04:34:19.329747Z", + "iopub.status.busy": "2024-04-06T04:34:19.329569Z", + "iopub.status.idle": "2024-04-06T04:34:19.332430Z", + "shell.execute_reply": "2024-04-06T04:34:19.332000Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:04.200606Z", - "iopub.status.busy": "2024-04-06T04:17:04.200242Z", - "iopub.status.idle": "2024-04-06T04:17:05.172591Z", - "shell.execute_reply": "2024-04-06T04:17:05.172013Z" + "iopub.execute_input": "2024-04-06T04:34:19.334383Z", + "iopub.status.busy": "2024-04-06T04:34:19.334059Z", + "iopub.status.idle": "2024-04-06T04:34:20.209133Z", + "shell.execute_reply": "2024-04-06T04:34:20.208555Z" } }, "outputs": [ @@ -1101,14 +1101,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "./example_images/000000430073.jpg" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - " | idx 100\n" + "./example_images/000000430073.jpg | idx 100\n" ] }, { @@ -1179,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.175404Z", - "iopub.status.busy": "2024-04-06T04:17:05.175059Z", - "iopub.status.idle": "2024-04-06T04:17:05.279492Z", - "shell.execute_reply": "2024-04-06T04:17:05.278947Z" + "iopub.execute_input": "2024-04-06T04:34:20.211448Z", + "iopub.status.busy": "2024-04-06T04:34:20.211008Z", + "iopub.status.idle": "2024-04-06T04:34:20.342519Z", + "shell.execute_reply": "2024-04-06T04:34:20.342095Z" } }, "outputs": [ @@ -1221,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.281714Z", - "iopub.status.busy": "2024-04-06T04:17:05.281381Z", - "iopub.status.idle": "2024-04-06T04:17:05.389641Z", - "shell.execute_reply": "2024-04-06T04:17:05.389153Z" + "iopub.execute_input": "2024-04-06T04:34:20.344524Z", + "iopub.status.busy": "2024-04-06T04:34:20.344193Z", + "iopub.status.idle": "2024-04-06T04:34:20.458465Z", + "shell.execute_reply": "2024-04-06T04:34:20.457952Z" } }, "outputs": [], @@ -1273,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:05.392001Z", - "iopub.status.busy": "2024-04-06T04:17:05.391816Z", - "iopub.status.idle": "2024-04-06T04:17:06.109074Z", - "shell.execute_reply": "2024-04-06T04:17:06.108500Z" + "iopub.execute_input": "2024-04-06T04:34:20.460533Z", + "iopub.status.busy": "2024-04-06T04:34:20.460222Z", + "iopub.status.idle": "2024-04-06T04:34:21.196312Z", + "shell.execute_reply": "2024-04-06T04:34:21.195737Z" } }, "outputs": [ @@ -1358,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:06.111397Z", - "iopub.status.busy": "2024-04-06T04:17:06.110954Z", - "iopub.status.idle": "2024-04-06T04:17:06.114735Z", - "shell.execute_reply": "2024-04-06T04:17:06.114197Z" + "iopub.execute_input": "2024-04-06T04:34:21.198485Z", + "iopub.status.busy": "2024-04-06T04:34:21.198170Z", + "iopub.status.idle": "2024-04-06T04:34:21.201764Z", + "shell.execute_reply": "2024-04-06T04:34:21.201234Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/outliers.html b/master/tutorials/outliers.html index 0e9412cc8..3d4c5d8af 100644 --- a/master/tutorials/outliers.html +++ b/master/tutorials/outliers.html @@ -746,7 +746,7 @@

2. Pre-process the Cifar10 dataset 
-100%|██████████| 170498071/170498071 [00:01<00:00, 110383673.81it/s]
+100%|██████████| 170498071/170498071 [00:02<00:00, 72776359.59it/s]
@@ -876,7 +876,7 @@

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

-
+
@@ -1090,7 +1090,7 @@

4. Use cleanlab and here.

diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb index 55bc06abd..dff88146d 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:08.332348Z", - "iopub.status.busy": "2024-04-06T04:17:08.332172Z", - "iopub.status.idle": "2024-04-06T04:17:11.067244Z", - "shell.execute_reply": "2024-04-06T04:17:11.066595Z" + "iopub.execute_input": "2024-04-06T04:34:23.301443Z", + "iopub.status.busy": "2024-04-06T04:34:23.301280Z", + "iopub.status.idle": "2024-04-06T04:34:25.945799Z", + "shell.execute_reply": "2024-04-06T04:34:25.945183Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:17:11.069992Z", - "iopub.status.busy": "2024-04-06T04:17:11.069428Z", - "iopub.status.idle": "2024-04-06T04:17:11.401104Z", - "shell.execute_reply": "2024-04-06T04:17:11.400569Z" + "iopub.execute_input": "2024-04-06T04:34:25.948528Z", + "iopub.status.busy": "2024-04-06T04:34:25.948218Z", + "iopub.status.idle": "2024-04-06T04:34:26.266936Z", + "shell.execute_reply": "2024-04-06T04:34:26.266392Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:11.403502Z", - "iopub.status.busy": "2024-04-06T04:17:11.403186Z", - "iopub.status.idle": "2024-04-06T04:17:11.407467Z", - "shell.execute_reply": "2024-04-06T04:17:11.407051Z" + "iopub.execute_input": "2024-04-06T04:34:26.269348Z", + "iopub.status.busy": "2024-04-06T04:34:26.269036Z", + "iopub.status.idle": "2024-04-06T04:34:26.272997Z", + "shell.execute_reply": "2024-04-06T04:34:26.272583Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:11.409521Z", - "iopub.status.busy": "2024-04-06T04:17:11.409185Z", - "iopub.status.idle": "2024-04-06T04:17:16.574565Z", - "shell.execute_reply": "2024-04-06T04:17:16.574059Z" + "iopub.execute_input": "2024-04-06T04:34:26.275074Z", + "iopub.status.busy": "2024-04-06T04:34:26.274739Z", + "iopub.status.idle": "2024-04-06T04:34:31.314624Z", + "shell.execute_reply": "2024-04-06T04:34:31.314110Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 2719744/170498071 [00:00<00:06, 27150858.36it/s]" + " 1%| | 1769472/170498071 [00:00<00:09, 17538639.93it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 14385152/170498071 [00:00<00:01, 79698911.13it/s]" + " 5%|▍ | 8192000/170498071 [00:00<00:03, 44831466.83it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 25985024/170498071 [00:00<00:01, 96219724.72it/s]" + " 8%|▊ | 13041664/170498071 [00:00<00:03, 46433907.51it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 37650432/170498071 [00:00<00:01, 104278791.75it/s]" + " 12%|█▏ | 19791872/170498071 [00:00<00:02, 54704480.34it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 49283072/170498071 [00:00<00:01, 108526944.35it/s]" + " 15%|█▌ | 25788416/170498071 [00:00<00:02, 56333002.76it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 60850176/170498071 [00:00<00:00, 110919928.74it/s]" + " 18%|█▊ | 31424512/170498071 [00:00<00:02, 55036228.43it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 72515584/170498071 [00:00<00:00, 112772522.55it/s]" + " 22%|██▏ | 37978112/170498071 [00:00<00:02, 58347764.86it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 84115456/170498071 [00:00<00:00, 113779771.17it/s]" + " 26%|██▌ | 43843584/170498071 [00:00<00:02, 56723331.51it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 95715328/170498071 [00:00<00:00, 114398601.27it/s]" + " 29%|██▉ | 49676288/170498071 [00:00<00:02, 57186066.18it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 107380736/170498071 [00:01<00:00, 115092493.28it/s]" + " 33%|███▎ | 56197120/170498071 [00:01<00:01, 59520956.47it/s]" ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|██████▉ | 118980608/170498071 [00:01<00:00, 115340861.91it/s]" + " 36%|███▋ | 62193664/170498071 [00:01<00:01, 55914267.41it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 130613248/170498071 [00:01<00:00, 115637259.98it/s]" + " 40%|████ | 68943872/170498071 [00:01<00:01, 59219350.19it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 83%|████████▎ | 142311424/170498071 [00:01<00:00, 115909354.44it/s]" + " 46%|████▌ | 77758464/170498071 [00:01<00:01, 67611548.92it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 90%|█████████ | 153944064/170498071 [00:01<00:00, 115967061.77it/s]" + " 51%|█████▏ | 87556096/170498071 [00:01<00:01, 76485308.02it/s]" ] }, { @@ -364,7 +364,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-06T04:17:16.576690Z", - "iopub.status.busy": "2024-04-06T04:17:16.576423Z", - "iopub.status.idle": "2024-04-06T04:17:16.580993Z", - "shell.execute_reply": "2024-04-06T04:17:16.580566Z" + "iopub.execute_input": "2024-04-06T04:34:31.316844Z", + "iopub.status.busy": "2024-04-06T04:34:31.316485Z", + "iopub.status.idle": "2024-04-06T04:34:31.321190Z", + "shell.execute_reply": "2024-04-06T04:34:31.320736Z" }, "nbsphinx": "hidden" }, @@ -544,10 +600,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:16.583051Z", - "iopub.status.busy": "2024-04-06T04:17:16.582688Z", - "iopub.status.idle": "2024-04-06T04:17:17.128244Z", - "shell.execute_reply": "2024-04-06T04:17:17.127732Z" + "iopub.execute_input": "2024-04-06T04:34:31.323414Z", + "iopub.status.busy": "2024-04-06T04:34:31.323024Z", + "iopub.status.idle": "2024-04-06T04:34:31.843073Z", + "shell.execute_reply": "2024-04-06T04:34:31.842461Z" } }, "outputs": [ @@ -580,10 +636,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.130361Z", - "iopub.status.busy": "2024-04-06T04:17:17.130041Z", - "iopub.status.idle": "2024-04-06T04:17:17.628711Z", - "shell.execute_reply": "2024-04-06T04:17:17.628136Z" + "iopub.execute_input": "2024-04-06T04:34:31.845476Z", + "iopub.status.busy": "2024-04-06T04:34:31.845122Z", + "iopub.status.idle": "2024-04-06T04:34:32.343468Z", + "shell.execute_reply": "2024-04-06T04:34:32.342863Z" } }, "outputs": [ @@ -621,10 +677,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.631026Z", - "iopub.status.busy": "2024-04-06T04:17:17.630590Z", - "iopub.status.idle": "2024-04-06T04:17:17.634166Z", - "shell.execute_reply": "2024-04-06T04:17:17.633631Z" + "iopub.execute_input": "2024-04-06T04:34:32.345737Z", + "iopub.status.busy": "2024-04-06T04:34:32.345520Z", + "iopub.status.idle": "2024-04-06T04:34:32.349079Z", + "shell.execute_reply": "2024-04-06T04:34:32.348636Z" } }, "outputs": [], @@ -647,17 +703,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:17.636095Z", - "iopub.status.busy": "2024-04-06T04:17:17.635918Z", - "iopub.status.idle": "2024-04-06T04:17:29.942716Z", - "shell.execute_reply": "2024-04-06T04:17:29.942087Z" + "iopub.execute_input": "2024-04-06T04:34:32.351161Z", + "iopub.status.busy": "2024-04-06T04:34:32.350840Z", + "iopub.status.idle": "2024-04-06T04:34:45.259522Z", + "shell.execute_reply": "2024-04-06T04:34:45.258934Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "44ee01f7f7be41e68df2da15ba015dda", + "model_id": "991b461cb5f14fa38412734f4f788575", "version_major": 2, "version_minor": 0 }, @@ -716,10 +772,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:29.945101Z", - "iopub.status.busy": "2024-04-06T04:17:29.944777Z", - "iopub.status.idle": "2024-04-06T04:17:31.687463Z", - "shell.execute_reply": "2024-04-06T04:17:31.686934Z" + "iopub.execute_input": "2024-04-06T04:34:45.261911Z", + "iopub.status.busy": "2024-04-06T04:34:45.261529Z", + "iopub.status.idle": "2024-04-06T04:34:46.966878Z", + "shell.execute_reply": "2024-04-06T04:34:46.966282Z" } }, "outputs": [ @@ -763,10 +819,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:31.690226Z", - "iopub.status.busy": "2024-04-06T04:17:31.689730Z", - "iopub.status.idle": "2024-04-06T04:17:31.946394Z", - "shell.execute_reply": "2024-04-06T04:17:31.945880Z" + "iopub.execute_input": "2024-04-06T04:34:46.969590Z", + "iopub.status.busy": "2024-04-06T04:34:46.969163Z", + "iopub.status.idle": "2024-04-06T04:34:47.194956Z", + "shell.execute_reply": "2024-04-06T04:34:47.194388Z" } }, "outputs": [ @@ -802,10 +858,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:31.949014Z", - "iopub.status.busy": "2024-04-06T04:17:31.948523Z", - "iopub.status.idle": "2024-04-06T04:17:32.616423Z", - "shell.execute_reply": "2024-04-06T04:17:32.615855Z" + "iopub.execute_input": "2024-04-06T04:34:47.197286Z", + "iopub.status.busy": "2024-04-06T04:34:47.197100Z", + "iopub.status.idle": "2024-04-06T04:34:47.844542Z", + "shell.execute_reply": "2024-04-06T04:34:47.843965Z" } }, "outputs": [ @@ -855,10 +911,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:32.619435Z", - "iopub.status.busy": "2024-04-06T04:17:32.618930Z", - "iopub.status.idle": "2024-04-06T04:17:32.960383Z", - "shell.execute_reply": "2024-04-06T04:17:32.959887Z" + "iopub.execute_input": "2024-04-06T04:34:47.847025Z", + "iopub.status.busy": "2024-04-06T04:34:47.846663Z", + "iopub.status.idle": "2024-04-06T04:34:48.133586Z", + "shell.execute_reply": "2024-04-06T04:34:48.133164Z" } }, "outputs": [ @@ -906,10 +962,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:32.962638Z", - "iopub.status.busy": "2024-04-06T04:17:32.962284Z", - "iopub.status.idle": "2024-04-06T04:17:33.209463Z", - "shell.execute_reply": "2024-04-06T04:17:33.208824Z" + "iopub.execute_input": "2024-04-06T04:34:48.135743Z", + "iopub.status.busy": "2024-04-06T04:34:48.135451Z", + "iopub.status.idle": "2024-04-06T04:34:48.362823Z", + "shell.execute_reply": "2024-04-06T04:34:48.362258Z" } }, "outputs": [ @@ -965,10 +1021,10 @@ "id": "40fed4ef", "metadata": { "execution": { - 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"f09d11078deb4890b9b29821b9e7abb1": { + "ad6af0ebf6a84194902f8859297785ed": { + "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": "" + } + }, + "dc69440eba354ce18f5a8f226872b05a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index 12155c733..bac3e263c 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:49.808502Z", - "iopub.status.busy": "2024-04-06T04:17:49.808333Z", - "iopub.status.idle": "2024-04-06T04:17:50.938302Z", - "shell.execute_reply": "2024-04-06T04:17:50.937783Z" + "iopub.execute_input": "2024-04-06T04:35:04.945916Z", + "iopub.status.busy": "2024-04-06T04:35:04.945744Z", + "iopub.status.idle": "2024-04-06T04:35:06.052331Z", + "shell.execute_reply": "2024-04-06T04:35:06.051744Z" }, "nbsphinx": "hidden" }, @@ -117,7 +117,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -143,10 +143,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.940835Z", - "iopub.status.busy": "2024-04-06T04:17:50.940476Z", - "iopub.status.idle": "2024-04-06T04:17:50.957880Z", - "shell.execute_reply": "2024-04-06T04:17:50.957193Z" + "iopub.execute_input": "2024-04-06T04:35:06.054800Z", + "iopub.status.busy": "2024-04-06T04:35:06.054557Z", + "iopub.status.idle": "2024-04-06T04:35:06.072120Z", + "shell.execute_reply": "2024-04-06T04:35:06.071716Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.960308Z", - "iopub.status.busy": "2024-04-06T04:17:50.959904Z", - "iopub.status.idle": "2024-04-06T04:17:50.962814Z", - "shell.execute_reply": "2024-04-06T04:17:50.962356Z" + "iopub.execute_input": "2024-04-06T04:35:06.074202Z", + "iopub.status.busy": "2024-04-06T04:35:06.073811Z", + "iopub.status.idle": "2024-04-06T04:35:06.076794Z", + "shell.execute_reply": "2024-04-06T04:35:06.076351Z" }, "nbsphinx": "hidden" }, @@ -199,10 +199,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:50.964843Z", - "iopub.status.busy": "2024-04-06T04:17:50.964451Z", - "iopub.status.idle": "2024-04-06T04:17:51.055914Z", - "shell.execute_reply": "2024-04-06T04:17:51.055379Z" + "iopub.execute_input": "2024-04-06T04:35:06.078868Z", + "iopub.status.busy": "2024-04-06T04:35:06.078492Z", + "iopub.status.idle": "2024-04-06T04:35:06.208916Z", + "shell.execute_reply": "2024-04-06T04:35:06.208494Z" } }, "outputs": [ @@ -375,10 +375,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.058209Z", - "iopub.status.busy": "2024-04-06T04:17:51.057898Z", - "iopub.status.idle": "2024-04-06T04:17:51.238376Z", - "shell.execute_reply": "2024-04-06T04:17:51.237789Z" + "iopub.execute_input": "2024-04-06T04:35:06.211100Z", + "iopub.status.busy": "2024-04-06T04:35:06.210666Z", + "iopub.status.idle": "2024-04-06T04:35:06.392965Z", + "shell.execute_reply": "2024-04-06T04:35:06.392412Z" }, "nbsphinx": "hidden" }, @@ -418,10 +418,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.241000Z", - "iopub.status.busy": "2024-04-06T04:17:51.240573Z", - "iopub.status.idle": "2024-04-06T04:17:51.480475Z", - "shell.execute_reply": "2024-04-06T04:17:51.479935Z" + "iopub.execute_input": "2024-04-06T04:35:06.395403Z", + "iopub.status.busy": "2024-04-06T04:35:06.395013Z", + "iopub.status.idle": "2024-04-06T04:35:06.638949Z", + "shell.execute_reply": "2024-04-06T04:35:06.638348Z" } }, "outputs": [ @@ -457,10 +457,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.482794Z", - "iopub.status.busy": "2024-04-06T04:17:51.482431Z", - "iopub.status.idle": "2024-04-06T04:17:51.486805Z", - "shell.execute_reply": "2024-04-06T04:17:51.486258Z" + "iopub.execute_input": "2024-04-06T04:35:06.641297Z", + "iopub.status.busy": "2024-04-06T04:35:06.640953Z", + "iopub.status.idle": "2024-04-06T04:35:06.645580Z", + "shell.execute_reply": "2024-04-06T04:35:06.645032Z" } }, "outputs": [], @@ -478,10 +478,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.488855Z", - "iopub.status.busy": "2024-04-06T04:17:51.488525Z", - "iopub.status.idle": "2024-04-06T04:17:51.494877Z", - "shell.execute_reply": "2024-04-06T04:17:51.494412Z" + "iopub.execute_input": "2024-04-06T04:35:06.647781Z", + "iopub.status.busy": "2024-04-06T04:35:06.647427Z", + "iopub.status.idle": "2024-04-06T04:35:06.654351Z", + "shell.execute_reply": "2024-04-06T04:35:06.653847Z" } }, "outputs": [], @@ -528,10 +528,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.496834Z", - "iopub.status.busy": "2024-04-06T04:17:51.496663Z", - "iopub.status.idle": "2024-04-06T04:17:51.499175Z", - "shell.execute_reply": "2024-04-06T04:17:51.498746Z" + "iopub.execute_input": "2024-04-06T04:35:06.656526Z", + "iopub.status.busy": "2024-04-06T04:35:06.656127Z", + "iopub.status.idle": "2024-04-06T04:35:06.658766Z", + "shell.execute_reply": "2024-04-06T04:35:06.658318Z" } }, "outputs": [], @@ -546,10 +546,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:51.501146Z", - "iopub.status.busy": "2024-04-06T04:17:51.500827Z", - "iopub.status.idle": "2024-04-06T04:17:59.701511Z", - "shell.execute_reply": "2024-04-06T04:17:59.700993Z" + "iopub.execute_input": "2024-04-06T04:35:06.660791Z", + "iopub.status.busy": "2024-04-06T04:35:06.660469Z", + "iopub.status.idle": "2024-04-06T04:35:14.877273Z", + "shell.execute_reply": "2024-04-06T04:35:14.876740Z" } }, "outputs": [], @@ -573,10 +573,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:17:59.704325Z", - "iopub.status.busy": "2024-04-06T04:17:59.703744Z", - "iopub.status.idle": "2024-04-06T04:17:59.711002Z", - "shell.execute_reply": "2024-04-06T04:17:59.710577Z" + "iopub.execute_input": "2024-04-06T04:35:14.880136Z", + "iopub.status.busy": "2024-04-06T04:35:14.879546Z", + "iopub.status.idle": "2024-04-06T04:35:14.886452Z", + "shell.execute_reply": "2024-04-06T04:35:14.885981Z" } }, "outputs": [ @@ -679,10 +679,10 @@ "id": "f7385336", "metadata": { "execution": { - 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3. Use cleanlab to find label issues

-
+
-
+
@@ -857,7 +857,7 @@

Classes which are commonly mislabeled overall

-
+
@@ -1106,7 +1106,7 @@

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().

@@ -1162,7 +1162,7 @@

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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_07b675adb016454a9854b4ea300e4cfe", "IPY_MODEL_232cb3f4436c4a29aa37462ded23ed0a", "IPY_MODEL_2bc90b79c1364f709f2cc5d8d3ac1a01"], "layout": "IPY_MODEL_5b27262a9cd94dcca7fa54df4cceb26a", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/segmentation.ipynb b/master/tutorials/segmentation.ipynb index 2aa4f5141..89e2cb219 100644 --- a/master/tutorials/segmentation.ipynb +++ b/master/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:09.136176Z", - "iopub.status.busy": "2024-04-06T04:18:09.136007Z", - "iopub.status.idle": "2024-04-06T04:18:11.074442Z", - "shell.execute_reply": "2024-04-06T04:18:11.073722Z" + "iopub.execute_input": "2024-04-06T04:35:24.243928Z", + "iopub.status.busy": "2024-04-06T04:35:24.243468Z", + "iopub.status.idle": "2024-04-06T04:35:26.047952Z", + "shell.execute_reply": "2024-04-06T04:35:26.047292Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:11.077142Z", - "iopub.status.busy": "2024-04-06T04:18:11.076951Z", - "iopub.status.idle": "2024-04-06T04:18:58.504072Z", - "shell.execute_reply": "2024-04-06T04:18:58.503451Z" + "iopub.execute_input": "2024-04-06T04:35:26.050495Z", + "iopub.status.busy": "2024-04-06T04:35:26.050118Z", + "iopub.status.idle": "2024-04-06T04:36:08.935704Z", + "shell.execute_reply": "2024-04-06T04:36:08.935125Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:58.506581Z", - "iopub.status.busy": "2024-04-06T04:18:58.506181Z", - "iopub.status.idle": "2024-04-06T04:18:59.586152Z", - "shell.execute_reply": "2024-04-06T04:18:59.585563Z" + "iopub.execute_input": "2024-04-06T04:36:08.938332Z", + "iopub.status.busy": "2024-04-06T04:36:08.937887Z", + "iopub.status.idle": "2024-04-06T04:36:09.999880Z", + "shell.execute_reply": "2024-04-06T04:36:09.999323Z" }, "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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": "2024-04-06T04:18:59.588721Z", - "iopub.status.busy": "2024-04-06T04:18:59.588437Z", - "iopub.status.idle": "2024-04-06T04:18:59.591702Z", - "shell.execute_reply": "2024-04-06T04:18:59.591184Z" + "iopub.execute_input": "2024-04-06T04:36:10.002451Z", + "iopub.status.busy": "2024-04-06T04:36:10.002049Z", + "iopub.status.idle": "2024-04-06T04:36:10.005300Z", + "shell.execute_reply": "2024-04-06T04:36:10.004764Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.593851Z", - "iopub.status.busy": "2024-04-06T04:18:59.593529Z", - "iopub.status.idle": "2024-04-06T04:18:59.597220Z", - "shell.execute_reply": "2024-04-06T04:18:59.596787Z" + "iopub.execute_input": "2024-04-06T04:36:10.007484Z", + "iopub.status.busy": "2024-04-06T04:36:10.007053Z", + "iopub.status.idle": "2024-04-06T04:36:10.010737Z", + "shell.execute_reply": "2024-04-06T04:36:10.010232Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.599215Z", - "iopub.status.busy": "2024-04-06T04:18:59.598912Z", - "iopub.status.idle": "2024-04-06T04:18:59.602294Z", - "shell.execute_reply": "2024-04-06T04:18:59.601883Z" + "iopub.execute_input": "2024-04-06T04:36:10.012726Z", + "iopub.status.busy": "2024-04-06T04:36:10.012460Z", + "iopub.status.idle": "2024-04-06T04:36:10.016097Z", + "shell.execute_reply": "2024-04-06T04:36:10.015646Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.604288Z", - "iopub.status.busy": "2024-04-06T04:18:59.603975Z", - "iopub.status.idle": "2024-04-06T04:18:59.606581Z", - "shell.execute_reply": "2024-04-06T04:18:59.606178Z" + "iopub.execute_input": "2024-04-06T04:36:10.018111Z", + "iopub.status.busy": "2024-04-06T04:36:10.017712Z", + "iopub.status.idle": "2024-04-06T04:36:10.020470Z", + "shell.execute_reply": "2024-04-06T04:36:10.020044Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:18:59.608476Z", - 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1. Install required dependencies and download data 
---2024-04-06 04:21:18--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 185.93.1.250, 2400:52e0:1a00::941:1
-Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.
+--2024-04-06 04:38:29--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 169.150.236.98, 2400:52e0:1a00::718:1
+Connecting to data.deepai.org (data.deepai.org)|169.150.236.98|:443... connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
 
-conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.008s
+conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.04s
 
-2024-04-06 04:21:19 (115 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2024-04-06 04:38:29 (22.5 MB/s) - ‘conll2003.zip’ saved [982975/982975]
 
 mkdir: cannot create directory ‘data’: File exists
 Archive:  conll2003.zip
@@ -693,16 +693,16 @@ 
1. Install required dependencies and download data

diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb index 956cecfc9..e868c19b5 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:18.815482Z", - "iopub.status.busy": "2024-04-06T04:21:18.815069Z", - "iopub.status.idle": "2024-04-06T04:21:20.147463Z", - "shell.execute_reply": "2024-04-06T04:21:20.146792Z" + "iopub.execute_input": "2024-04-06T04:38:29.398070Z", + "iopub.status.busy": "2024-04-06T04:38:29.397578Z", + "iopub.status.idle": "2024-04-06T04:38:30.762030Z", + "shell.execute_reply": "2024-04-06T04:38:30.761463Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-06 04:21:18-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-04-06 04:38:29-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,24 +94,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "185.93.1.250, 2400:52e0:1a00::941:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.\r\n", + "169.150.236.98, 2400:52e0:1a00::718:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.98|: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", "\r", - "conll2003.zip 0%[ ] 0 --.-KB/s \r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.008s \r\n", - "\r\n", - "2024-04-06 04:21:19 (115 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", - "\r\n" + "conll2003.zip 0%[ ] 0 --.-KB/s " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\r", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.04s \r\n", + "\r\n", + "2024-04-06 04:38:29 (22.5 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] }, @@ -130,9 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-06 04:21:19-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.167.97, 3.5.28.226, 52.217.226.9, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.167.97|:443... connected.\r\n" + "--2024-04-06 04:38:30-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.217.84.148, 52.216.129.163, 52.217.231.17, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.217.84.148|:443... " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "connected.\r\n" ] }, { @@ -159,7 +167,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 23%[===> ] 3.86M 19.3MB/s " + "pred_probs.npz 14%[=> ] 2.33M 11.7MB/s " ] }, { @@ -167,9 +175,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M 50.8MB/s in 0.3s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 46.9MB/s in 0.3s \r\n", "\r\n", - "2024-04-06 04:21:20 (50.8 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-06 04:38:30 (46.9 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -186,10 +194,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:20.150071Z", - "iopub.status.busy": "2024-04-06T04:21:20.149872Z", - "iopub.status.idle": "2024-04-06T04:21:21.460595Z", - "shell.execute_reply": "2024-04-06T04:21:21.459998Z" + "iopub.execute_input": "2024-04-06T04:38:30.764412Z", + "iopub.status.busy": "2024-04-06T04:38:30.764032Z", + "iopub.status.idle": "2024-04-06T04:38:31.972111Z", + "shell.execute_reply": "2024-04-06T04:38:31.971535Z" }, "nbsphinx": "hidden" }, @@ -200,7 +208,7 @@ "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -226,10 +234,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.463318Z", - "iopub.status.busy": "2024-04-06T04:21:21.462904Z", - "iopub.status.idle": "2024-04-06T04:21:21.466277Z", - "shell.execute_reply": "2024-04-06T04:21:21.465836Z" + "iopub.execute_input": "2024-04-06T04:38:31.974580Z", + "iopub.status.busy": "2024-04-06T04:38:31.974308Z", + "iopub.status.idle": "2024-04-06T04:38:31.977556Z", + "shell.execute_reply": "2024-04-06T04:38:31.977128Z" } }, "outputs": [], @@ -279,10 +287,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.468133Z", - "iopub.status.busy": "2024-04-06T04:21:21.467961Z", - "iopub.status.idle": "2024-04-06T04:21:21.470821Z", - "shell.execute_reply": "2024-04-06T04:21:21.470387Z" + "iopub.execute_input": "2024-04-06T04:38:31.979700Z", + "iopub.status.busy": "2024-04-06T04:38:31.979317Z", + "iopub.status.idle": "2024-04-06T04:38:31.982377Z", + "shell.execute_reply": "2024-04-06T04:38:31.981830Z" }, "nbsphinx": "hidden" }, @@ -300,10 +308,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:21.472776Z", - "iopub.status.busy": "2024-04-06T04:21:21.472453Z", - "iopub.status.idle": "2024-04-06T04:21:30.680472Z", - "shell.execute_reply": "2024-04-06T04:21:30.679868Z" + "iopub.execute_input": "2024-04-06T04:38:31.984377Z", + "iopub.status.busy": "2024-04-06T04:38:31.984017Z", + "iopub.status.idle": "2024-04-06T04:38:41.053110Z", + "shell.execute_reply": "2024-04-06T04:38:41.052521Z" } }, "outputs": [], @@ -377,10 +385,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:30.683031Z", - "iopub.status.busy": "2024-04-06T04:21:30.682707Z", - "iopub.status.idle": "2024-04-06T04:21:30.688231Z", - "shell.execute_reply": "2024-04-06T04:21:30.687711Z" + "iopub.execute_input": "2024-04-06T04:38:41.055687Z", + "iopub.status.busy": "2024-04-06T04:38:41.055498Z", + "iopub.status.idle": "2024-04-06T04:38:41.061081Z", + "shell.execute_reply": "2024-04-06T04:38:41.060531Z" }, "nbsphinx": "hidden" }, @@ -420,10 +428,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:30.690240Z", - "iopub.status.busy": "2024-04-06T04:21:30.689862Z", - "iopub.status.idle": "2024-04-06T04:21:31.036172Z", - "shell.execute_reply": "2024-04-06T04:21:31.035483Z" + "iopub.execute_input": "2024-04-06T04:38:41.063230Z", + "iopub.status.busy": "2024-04-06T04:38:41.062809Z", + "iopub.status.idle": "2024-04-06T04:38:41.426124Z", + "shell.execute_reply": "2024-04-06T04:38:41.425590Z" } }, "outputs": [], @@ -460,10 +468,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:31.038675Z", - "iopub.status.busy": "2024-04-06T04:21:31.038461Z", - "iopub.status.idle": "2024-04-06T04:21:31.042956Z", - "shell.execute_reply": "2024-04-06T04:21:31.042398Z" + "iopub.execute_input": "2024-04-06T04:38:41.428511Z", + "iopub.status.busy": "2024-04-06T04:38:41.428316Z", + "iopub.status.idle": "2024-04-06T04:38:41.432566Z", + "shell.execute_reply": "2024-04-06T04:38:41.432029Z" } }, "outputs": [ @@ -535,10 +543,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:31.045119Z", - "iopub.status.busy": "2024-04-06T04:21:31.044811Z", - "iopub.status.idle": "2024-04-06T04:21:33.441748Z", - "shell.execute_reply": "2024-04-06T04:21:33.441118Z" + "iopub.execute_input": "2024-04-06T04:38:41.434828Z", + "iopub.status.busy": "2024-04-06T04:38:41.434438Z", + "iopub.status.idle": "2024-04-06T04:38:43.797032Z", + "shell.execute_reply": "2024-04-06T04:38:43.796336Z" } }, "outputs": [], @@ -560,10 +568,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.444867Z", - "iopub.status.busy": "2024-04-06T04:21:33.444063Z", - "iopub.status.idle": "2024-04-06T04:21:33.448146Z", - "shell.execute_reply": "2024-04-06T04:21:33.447602Z" + "iopub.execute_input": "2024-04-06T04:38:43.800002Z", + "iopub.status.busy": "2024-04-06T04:38:43.799357Z", + "iopub.status.idle": "2024-04-06T04:38:43.803395Z", + "shell.execute_reply": "2024-04-06T04:38:43.802849Z" } }, "outputs": [ @@ -599,10 +607,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.450036Z", - "iopub.status.busy": "2024-04-06T04:21:33.449863Z", - "iopub.status.idle": "2024-04-06T04:21:33.455276Z", - "shell.execute_reply": "2024-04-06T04:21:33.454729Z" + "iopub.execute_input": "2024-04-06T04:38:43.805438Z", + "iopub.status.busy": "2024-04-06T04:38:43.805041Z", + "iopub.status.idle": "2024-04-06T04:38:43.810204Z", + "shell.execute_reply": "2024-04-06T04:38:43.809632Z" } }, "outputs": [ @@ -780,10 +788,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.457279Z", - "iopub.status.busy": "2024-04-06T04:21:33.456977Z", - "iopub.status.idle": "2024-04-06T04:21:33.483175Z", - "shell.execute_reply": "2024-04-06T04:21:33.482607Z" + "iopub.execute_input": "2024-04-06T04:38:43.812097Z", + "iopub.status.busy": "2024-04-06T04:38:43.811923Z", + "iopub.status.idle": "2024-04-06T04:38:43.837570Z", + "shell.execute_reply": "2024-04-06T04:38:43.837054Z" } }, "outputs": [ @@ -885,10 +893,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.485345Z", - "iopub.status.busy": "2024-04-06T04:21:33.484939Z", - "iopub.status.idle": "2024-04-06T04:21:33.489208Z", - "shell.execute_reply": "2024-04-06T04:21:33.488781Z" + "iopub.execute_input": "2024-04-06T04:38:43.839685Z", + "iopub.status.busy": "2024-04-06T04:38:43.839262Z", + "iopub.status.idle": "2024-04-06T04:38:43.843573Z", + "shell.execute_reply": "2024-04-06T04:38:43.843046Z" } }, "outputs": [ @@ -962,10 +970,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:33.491173Z", - "iopub.status.busy": "2024-04-06T04:21:33.490882Z", - "iopub.status.idle": "2024-04-06T04:21:34.904768Z", - "shell.execute_reply": "2024-04-06T04:21:34.904205Z" + "iopub.execute_input": "2024-04-06T04:38:43.845456Z", + "iopub.status.busy": "2024-04-06T04:38:43.845286Z", + "iopub.status.idle": "2024-04-06T04:38:45.262927Z", + "shell.execute_reply": "2024-04-06T04:38:45.262416Z" } }, "outputs": [ @@ -1137,10 +1145,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-06T04:21:34.906826Z", - "iopub.status.busy": "2024-04-06T04:21:34.906624Z", - "iopub.status.idle": "2024-04-06T04:21:34.910693Z", - "shell.execute_reply": "2024-04-06T04:21:34.910157Z" + "iopub.execute_input": "2024-04-06T04:38:45.265138Z", + "iopub.status.busy": "2024-04-06T04:38:45.264818Z", + "iopub.status.idle": "2024-04-06T04:38:45.268799Z", + "shell.execute_reply": "2024-04-06T04:38:45.268374Z" }, "nbsphinx": "hidden" }, diff --git a/versioning.js b/versioning.js index 34a59d2dc..753559168 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.6.3", - commit_hash: "76dfdd23fa2e7f058421aa1938be49b71a7ad5d9", + commit_hash: "e0b7615c1169c6d8fcae15be6477bd7327e82e00", }; \ No newline at end of file 

 Helper functions used internally for outlier detection tasks.
 """
 
-from typing import Union
+from typing import Optional
 
 import numpy as np
 
@@ -657,35 +657,38 @@ 
Source code for cleanlab.internal.outlier
     avg_distances: np.ndarray,
     metric: str,
     C: int = 100,
-    p: Union[int, None] = None,
+    p: Optional[int] = None,
 ):
     """
     Ensure that scores where avg_distances are below the tolerance threshold get a score of one.
 
     Parameters
     ----------
-    scores : np.ndarray
+    scores :
         An array of scores of shape ``(N)``, where N is the number of examples.
         Each entry represents a score between 0 and 1.
 
-    avg_distances : np.ndarray
+    avg_distances :
         An array of distances of shape ``(N)``, where N is the number of examples.
         Each entry represents an example's average distance to its k nearest neighbors.
 
-    metric : str
+    metric :
         The metric used by the knn algorithm to calculate the distances.
         It must be 'cosine', 'euclidean' or 'minkowski', otherwise this function does nothing.
 
-    C : int, default=100
+    C :
         Multiplier used to increase the tolerance of the acceptable precision differences.
+        It is a multiplicative factor of the machine epsilon that is used to calculate the tolerance.
+        For the type of values that are used in the distances, a value of 100 should be a sensible
+        default value for small values of the distances, below the order of 1.
 
-    p : int, default=None
+    p :
         This value is only used when metric is 'minkowski'.
         A ValueError will be raised if metric is 'minkowski' and 'p' was not provided.
 
     Returns
     -------
-    fixed_scores : np.ndarray
+    fixed_scores :
         An array of scores of shape ``(N,)`` for N examples with scores between 0 and 1.
     """
     if metric == "cosine":
diff --git a/master/_sources/tutorials/clean_learning/tabular.ipynb b/master/_sources/tutorials/clean_learning/tabular.ipynb
index 9090cdf11..8ff05f0bd 100644
--- a/master/_sources/tutorials/clean_learning/tabular.ipynb
+++ b/master/_sources/tutorials/clean_learning/tabular.ipynb
@@ -121,7 +121,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 b8ae7d38c..70fb68efa 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 b35afce33..ccfe3cd2c 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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/data_monitor.ipynb b/master/_sources/tutorials/datalab/data_monitor.ipynb
index b735cfba7..ba69d4f43 100644
--- a/master/_sources/tutorials/datalab/data_monitor.ipynb
+++ b/master/_sources/tutorials/datalab/data_monitor.ipynb
@@ -71,7 +71,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 34ca5d1f6..926d8c660 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 4fecac4a0..810e242fb 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 77da73b27..e06e46265 100644
--- a/master/_sources/tutorials/datalab/tabular.ipynb
+++ b/master/_sources/tutorials/datalab/tabular.ipynb
@@ -81,7 +81,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 c564ad40d..90c91f3c1 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 37fb124f5..7a9484bfb 100644
--- a/master/_sources/tutorials/dataset_health.ipynb
+++ b/master/_sources/tutorials/dataset_health.ipynb
@@ -77,7 +77,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 d3cd170ae..f4f769e7f 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 6619e2ae1..fa1c91842 100644
--- a/master/_sources/tutorials/multiannotator.ipynb
+++ b/master/_sources/tutorials/multiannotator.ipynb
@@ -96,7 +96,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 c23921aa5..285c7eeb2 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 9c817b637..786c68a2b 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 d48072617..5f552451b 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 fc3a13e15..ebea59ea4 100644
--- a/master/_sources/tutorials/regression.ipynb
+++ b/master/_sources/tutorials/regression.ipynb
@@ -111,7 +111,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 f57357f82..6392c5c2c 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\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 86097ecd1..9bc09c00e 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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
diff --git a/master/cleanlab/internal/outlier.html b/master/cleanlab/internal/outlier.html
index e8b3909bb..a4645e852 100644
--- a/master/cleanlab/internal/outlier.html
+++ b/master/cleanlab/internal/outlier.html
@@ -655,19 +655,22 @@
 

 
Parameters:

 
    
-
  • scores (np.ndarray) – An array of scores of shape (N), where N is the number of examples.
+
  • scores (ndarray) – An array of scores of shape (N), where N is the number of examples.
 Each entry represents a score between 0 and 1.
    • 
-
  • avg_distances (np.ndarray) – An array of distances of shape (N), where N is the number of examples.
+
  • avg_distances (ndarray) – An array of distances of shape (N), where N is the number of examples.
 Each entry represents an example’s average distance to its k nearest neighbors.
    • 
-
  • metric (str) – The metric used by the knn algorithm to calculate the distances.
+
  • metric (str) – The metric used by the knn algorithm to calculate the distances.
 It must be ‘cosine’, ‘euclidean’ or ‘minkowski’, otherwise this function does nothing.
    • 
-
  • C (int, default 100) – Multiplier used to increase the tolerance of the acceptable precision differences.
    • 
-
  • p (int, default None) – This value is only used when metric is ‘minkowski’.
+
  • C (int) – Multiplier used to increase the tolerance of the acceptable precision differences.
+It is a multiplicative factor of the machine epsilon that is used to calculate the tolerance.
+For the type of values that are used in the distances, a value of 100 should be a sensible
+default value for small values of the distances, below the order of 1.
    • 
+
  • p (Optional[int]) – This value is only used when metric is ‘minkowski’.
 A ValueError will be raised if metric is ‘minkowski’ and ‘p’ was not provided.
    • 
 

 

 
Returns:

-
fixed_scores (np.ndarray) – An array of scores of shape (N,) for N examples with scores between 0 and 1.

+
fixed_scores – An array of scores of shape (N,) for N examples with scores between 0 and 1.

 

 

 
diff --git a/master/searchindex.js b/master/searchindex.js
index b650b97c9..e969baeb5 100644
--- a/master/searchindex.js
+++ b/master/searchindex.js
@@ -1 +1 @@
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"cleanlab/internal/latent_algebra", "cleanlab/internal/multiannotator_utils", "cleanlab/internal/multilabel_scorer", "cleanlab/internal/multilabel_utils", "cleanlab/internal/outlier", "cleanlab/internal/token_classification_utils", "cleanlab/internal/util", "cleanlab/internal/validation", "cleanlab/models/fasttext", "cleanlab/models/index", "cleanlab/models/keras", "cleanlab/multiannotator", "cleanlab/multilabel_classification/dataset", "cleanlab/multilabel_classification/filter", "cleanlab/multilabel_classification/index", "cleanlab/multilabel_classification/rank", "cleanlab/object_detection/filter", "cleanlab/object_detection/index", "cleanlab/object_detection/rank", "cleanlab/object_detection/summary", "cleanlab/outlier", "cleanlab/rank", "cleanlab/regression/index", "cleanlab/regression/learn", "cleanlab/regression/rank", "cleanlab/segmentation/filter", "cleanlab/segmentation/index", "cleanlab/segmentation/rank", "cleanlab/segmentation/summary", 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"cleanlab/count.rst", "cleanlab/data_valuation.rst", "cleanlab/datalab/datalab.rst", "cleanlab/datalab/guide/_templates/issue_types_tip.rst", "cleanlab/datalab/guide/custom_issue_manager.rst", "cleanlab/datalab/guide/generating_cluster_ids.rst", "cleanlab/datalab/guide/index.rst", "cleanlab/datalab/guide/issue_type_description.rst", "cleanlab/datalab/index.rst", "cleanlab/datalab/internal/data.rst", "cleanlab/datalab/internal/data_issues.rst", "cleanlab/datalab/internal/factory.rst", "cleanlab/datalab/internal/index.rst", "cleanlab/datalab/internal/issue_finder.rst", "cleanlab/datalab/internal/issue_manager/_notices/not_registered.rst", "cleanlab/datalab/internal/issue_manager/data_valuation.rst", "cleanlab/datalab/internal/issue_manager/duplicate.rst", "cleanlab/datalab/internal/issue_manager/imbalance.rst", "cleanlab/datalab/internal/issue_manager/index.rst", "cleanlab/datalab/internal/issue_manager/issue_manager.rst", "cleanlab/datalab/internal/issue_manager/label.rst", 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"cleanlab/internal/label_quality_utils.rst", "cleanlab/internal/latent_algebra.rst", "cleanlab/internal/multiannotator_utils.rst", "cleanlab/internal/multilabel_scorer.rst", "cleanlab/internal/multilabel_utils.rst", "cleanlab/internal/outlier.rst", "cleanlab/internal/token_classification_utils.rst", "cleanlab/internal/util.rst", "cleanlab/internal/validation.rst", "cleanlab/models/fasttext.rst", "cleanlab/models/index.rst", "cleanlab/models/keras.rst", "cleanlab/multiannotator.rst", "cleanlab/multilabel_classification/dataset.rst", "cleanlab/multilabel_classification/filter.rst", "cleanlab/multilabel_classification/index.rst", "cleanlab/multilabel_classification/rank.rst", "cleanlab/object_detection/filter.rst", "cleanlab/object_detection/index.rst", "cleanlab/object_detection/rank.rst", "cleanlab/object_detection/summary.rst", "cleanlab/outlier.rst", "cleanlab/rank.rst", "cleanlab/regression/index.rst", "cleanlab/regression/learn.rst", "cleanlab/regression/rank.rst", "cleanlab/segmentation/filter.rst", "cleanlab/segmentation/index.rst", "cleanlab/segmentation/rank.rst", "cleanlab/segmentation/summary.rst", "cleanlab/token_classification/filter.rst", "cleanlab/token_classification/index.rst", "cleanlab/token_classification/rank.rst", "cleanlab/token_classification/summary.rst", "index.rst", "migrating/migrate_v2.rst", "tutorials/clean_learning/index.rst", "tutorials/clean_learning/tabular.ipynb", "tutorials/clean_learning/text.ipynb", "tutorials/datalab/audio.ipynb", "tutorials/datalab/data_monitor.ipynb", "tutorials/datalab/datalab_advanced.ipynb", "tutorials/datalab/datalab_quickstart.ipynb", "tutorials/datalab/image.ipynb", "tutorials/datalab/index.rst", "tutorials/datalab/tabular.ipynb", "tutorials/datalab/text.ipynb", "tutorials/dataset_health.ipynb", "tutorials/faq.ipynb", "tutorials/indepth_overview.ipynb", "tutorials/index.rst", "tutorials/multiannotator.ipynb", "tutorials/multilabel_classification.ipynb", "tutorials/object_detection.ipynb", 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"util", "validation", "fasttext", "models", "keras", "multiannotator", "dataset", "filter", "multilabel_classification", "rank", "filter", "object_detection", "rank", "summary", "outlier", "rank", "regression", "regression.learn", "regression.rank", "filter", "segmentation", "rank", "summary", "filter", "token_classification", "rank", "summary", "cleanlab open-source documentation", "How to migrate to versions >= 2.0.0 from pre 1.0.1", "CleanLearning Tutorials", "Classification with Tabular Data using Scikit-Learn and Cleanlab", "Text Classification with Noisy Labels", "Audio Classification with SpeechBrain and Cleanlab", "DataMonitor: Leverage statistics from Datalab to audit new data", "Datalab: Advanced workflows to audit your data", "Datalab: A unified audit to detect all kinds of issues in data and labels", "Image Classification with PyTorch and Cleanlab", "Datalab Tutorials", "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab", "Detecting Issues in 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Learn more about the issues in the additional data": [[85, "6.-Learn-more-about-the-issues-in-the-additional-data"]], "Datalab: Advanced workflows to audit your data": [[86, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[86, "Install-and-import-required-dependencies"]], "Create and load the data": [[86, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[86, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[86, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[86, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[86, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[86, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[86, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[87, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "5. 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Use cleanlab to find issues": [[88, "7.-Use-cleanlab-to-find-issues"]], "View report": [[88, "View-report"]], "Label issues": [[88, "Label-issues"], [90, "Label-issues"], [91, "Label-issues"]], "View most likely examples with label errors": [[88, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[88, "Outlier-issues"], [90, "Outlier-issues"], [91, "Outlier-issues"]], "View most severe outliers": [[88, "View-most-severe-outliers"]], "View sets of near duplicate images": [[88, "View-sets-of-near-duplicate-images"]], "Dark images": [[88, "Dark-images"]], "View top examples of dark images": [[88, "View-top-examples-of-dark-images"]], "Low information images": [[88, "Low-information-images"]], "Datalab Tutorials": [[89, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[90, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[90, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[91, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[91, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[91, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[91, "Non-IID-issues-(data-drift)"]], "Find Dataset-level Issues for Dataset Curation": [[92, "Find-Dataset-level-Issues-for-Dataset-Curation"]], "Install dependencies and import them": [[92, "Install-dependencies-and-import-them"], [94, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[92, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[92, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[93, "FAQ"]], "What data can cleanlab detect issues in?": [[93, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[93, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[93, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[93, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[93, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[93, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[93, "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?": [[93, "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?": [[93, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[93, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[93, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[93, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[93, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[93, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[94, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[94, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[94, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[94, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[94, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[94, "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.": [[94, "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": [[94, "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": [[94, "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!": [[94, "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": [[94, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[94, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[94, "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)": [[94, "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:": [[94, "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": [[94, "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.": [[94, "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.": [[94, "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.": [[94, "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.": [[94, "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?": [[94, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[94, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[95, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[96, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[96, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[96, "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": [[96, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[96, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[96, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[96, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[96, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[96, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[97, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[97, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[97, "2.-Format-data,-labels,-and-model-predictions"], [98, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[97, "3.-Use-cleanlab-to-find-label-issues"], [98, "3.-Use-cleanlab-to-find-label-issues"], [102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[97, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[97, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[97, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[97, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[97, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[98, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[98, "1.-Install-required-dependencies-and-download-data"], [102, "1.-Install-required-dependencies-and-download-data"], [103, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[98, "Get-label-quality-scores"], [102, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[98, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[98, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[98, "Other-uses-of-visualize"]], "Exploratory data analysis": [[98, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[99, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[99, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[99, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[99, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[99, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[99, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[100, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[100, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[100, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[101, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[101, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[101, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[102, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[102, "2.-Get-data,-labels,-and-pred_probs"], [103, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[102, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[102, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[102, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[103, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[103, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[103, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[103, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[103, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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"Cleanlab Studio (Easy Mode)": [[9, "cleanlab-studio-easy-mode"], [10, "cleanlab-studio-easy-mode"]], "Datalab Issue Types": [[10, "datalab-issue-types"]], "Types of issues Datalab can detect": [[10, "types-of-issues-datalab-can-detect"]], "Estimates for Each Issue Type": [[10, "estimates-for-each-issue-type"]], "Label Issue": [[10, "label-issue"]], "Outlier Issue": [[10, "outlier-issue"]], "(Near) Duplicate Issue": [[10, "near-duplicate-issue"]], "Non-IID Issue": [[10, "non-iid-issue"]], "Class Imbalance Issue": [[10, "class-imbalance-issue"]], "Image-specific Issues": [[10, "image-specific-issues"]], "Underperforming Group Issue": [[10, "underperforming-group-issue"]], "Null Issue": [[10, "null-issue"]], "Data Valuation Issue": [[10, "data-valuation-issue"]], "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": [[11, "getting-started"]], "Guides": [[11, "guides"]], "API Reference": [[11, "api-reference"]], "data": [[12, "module-cleanlab.datalab.internal.data"]], "data_issues": [[13, "module-cleanlab.datalab.internal.data_issues"]], "factory": [[14, "module-cleanlab.datalab.internal.issue_manager_factory"]], "internal": [[15, "internal"], [44, "internal"]], "issue_finder": [[16, "issue-finder"]], "duplicate": [[19, "module-cleanlab.datalab.internal.issue_manager.duplicate"]], "imbalance": [[20, 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"model_outputs": [[32, "module-cleanlab.datalab.internal.model_outputs"]], "report": [[33, "report"]], "task": [[34, "task"]], "dataset": [[36, "module-cleanlab.dataset"], [58, "module-cleanlab.multilabel_classification.dataset"]], "cifar_cnn": [[37, "module-cleanlab.experimental.cifar_cnn"]], "coteaching": [[38, "module-cleanlab.experimental.coteaching"]], "experimental": [[39, "experimental"]], "label_issues_batched": [[40, "module-cleanlab.experimental.label_issues_batched"]], "mnist_pytorch": [[41, "module-cleanlab.experimental.mnist_pytorch"]], "span_classification": [[42, "module-cleanlab.experimental.span_classification"]], "filter": [[43, "module-cleanlab.filter"], [59, "module-cleanlab.multilabel_classification.filter"], [62, "filter"], [71, "filter"], [75, "module-cleanlab.token_classification.filter"]], "label_quality_utils": [[45, "module-cleanlab.internal.label_quality_utils"]], "latent_algebra": [[46, "module-cleanlab.internal.latent_algebra"]], "multiannotator_utils": 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Install cleanlab": [[79, "install-cleanlab"]], "2. Find common issues in your data": [[79, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[79, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[79, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[79, "improve-your-data-via-many-other-techniques"]], "Contributing": [[79, "contributing"]], "Easy Mode": [[79, "easy-mode"], [88, "Easy-Mode"], [90, "Easy-Mode"], [91, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[80, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[80, "function-and-class-name-changes"]], "Module name changes": [[80, "module-name-changes"]], "New modules": [[80, "new-modules"]], "Removed modules": [[80, "removed-modules"]], "Common argument and variable name changes": [[80, "common-argument-and-variable-name-changes"]], "CleanLearning Tutorials": [[81, "cleanlearning-tutorials"]], "Classification with Tabular Data using Scikit-Learn and Cleanlab": [[82, "Classification-with-Tabular-Data-using-Scikit-Learn-and-Cleanlab"]], "1. Install required dependencies": [[82, "1.-Install-required-dependencies"], [83, "1.-Install-required-dependencies"], [90, "1.-Install-required-dependencies"], [91, "1.-Install-required-dependencies"], [101, "1.-Install-required-dependencies"]], "2. Load and process the data": [[82, "2.-Load-and-process-the-data"], [90, "2.-Load-and-process-the-data"], [101, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[82, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [90, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[82, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[82, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[83, "Text-Classification-with-Noisy-Labels"]], "2. 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Fit linear model and compute out-of-sample predicted probabilities": [[84, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[84, "5.-Use-cleanlab-to-find-label-issues"], [90, "5.-Use-cleanlab-to-find-label-issues"]], "DataMonitor: Leverage statistics from Datalab to audit new data": [[85, "DataMonitor:-Leverage-statistics-from-Datalab-to-audit-new-data"]], "1. Install and import required dependencies": [[85, "1.-Install-and-import-required-dependencies"], [87, "1.-Install-and-import-required-dependencies"], [88, "1.-Install-and-import-required-dependencies"], [96, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[85, "2.-Create-and-load-the-data-(can-skip-these-details)"], [87, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[85, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"], [87, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[85, "4.-Use-Datalab-to-find-issues-in-the-dataset"], [87, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Use DataMonitor to find issues in new data": [[85, "5.-Use-DataMonitor-to-find-issues-in-new-data"]], "6. Learn more about the issues in the additional data": [[85, "6.-Learn-more-about-the-issues-in-the-additional-data"]], "Datalab: Advanced workflows to audit your data": [[86, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[86, "Install-and-import-required-dependencies"]], "Create and load the data": [[86, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[86, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[86, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[86, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[86, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[86, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[86, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[87, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "5. Learn more about the issues in your dataset": [[87, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[87, "Get-additional-information"]], "Near duplicate issues": [[87, "Near-duplicate-issues"], [88, "Near-duplicate-issues"]], "Image Classification with PyTorch and Cleanlab": [[88, "Image-Classification-with-PyTorch-and-Cleanlab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[88, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[88, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[88, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[88, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[88, "7.-Use-cleanlab-to-find-issues"]], "View report": [[88, "View-report"]], "Label issues": [[88, "Label-issues"], [90, "Label-issues"], [91, "Label-issues"]], "View most likely examples with label errors": [[88, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[88, "Outlier-issues"], [90, "Outlier-issues"], [91, "Outlier-issues"]], "View most severe outliers": [[88, "View-most-severe-outliers"]], "View sets of near duplicate images": [[88, "View-sets-of-near-duplicate-images"]], "Dark images": [[88, "Dark-images"]], "View top examples of dark images": [[88, "View-top-examples-of-dark-images"]], "Low information images": [[88, "Low-information-images"]], "Datalab Tutorials": [[89, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[90, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[90, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[90, "Near-duplicate-issues"], [91, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[91, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[91, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[91, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[91, "Non-IID-issues-(data-drift)"]], "Find Dataset-level Issues for Dataset Curation": [[92, "Find-Dataset-level-Issues-for-Dataset-Curation"]], "Install dependencies and import them": [[92, "Install-dependencies-and-import-them"], [94, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[92, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[92, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[93, "FAQ"]], "What data can cleanlab detect issues in?": [[93, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[93, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[93, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[93, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[93, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[93, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[93, "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?": [[93, "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?": [[93, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[93, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[93, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[93, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[93, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[93, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[94, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[94, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[94, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[94, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[94, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[94, "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.": [[94, "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": [[94, "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": [[94, "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!": [[94, "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": [[94, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[94, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[94, "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)": [[94, "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:": [[94, "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": [[94, "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.": [[94, "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.": [[94, "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.": [[94, "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.": [[94, "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?": [[94, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[94, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[95, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[96, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[96, "2.-Create-the-data-(can-skip-these-details)"]], "3. 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Install required dependencies and download data": [[98, "1.-Install-required-dependencies-and-download-data"], [102, "1.-Install-required-dependencies-and-download-data"], [103, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[98, "Get-label-quality-scores"], [102, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[98, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[98, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[98, "Other-uses-of-visualize"]], "Exploratory data analysis": [[98, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[99, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[99, "1.-Install-the-required-dependencies"]], "2. 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Define a regression model and use cleanlab to find potential label errors": [[101, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[101, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[102, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. 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"cleanlab.internal.multilabel_scorer": [[48, "module-cleanlab.internal.multilabel_scorer"]], "exponential_moving_average() (in module cleanlab.internal.multilabel_scorer)": [[48, "cleanlab.internal.multilabel_scorer.exponential_moving_average"]], "from_str() (cleanlab.internal.multilabel_scorer.classlabelscorer class method)": [[48, "cleanlab.internal.multilabel_scorer.ClassLabelScorer.from_str"]], "get_class_label_quality_scores() (cleanlab.internal.multilabel_scorer.multilabelscorer method)": [[48, "cleanlab.internal.multilabel_scorer.MultilabelScorer.get_class_label_quality_scores"]], "get_cross_validated_multilabel_pred_probs() (in module cleanlab.internal.multilabel_scorer)": [[48, "cleanlab.internal.multilabel_scorer.get_cross_validated_multilabel_pred_probs"]], "get_label_quality_scores() (in module cleanlab.internal.multilabel_scorer)": [[48, "cleanlab.internal.multilabel_scorer.get_label_quality_scores"]], "multilabel_py() (in module cleanlab.internal.multilabel_scorer)": [[48, "cleanlab.internal.multilabel_scorer.multilabel_py"]], "possible_methods (cleanlab.internal.multilabel_scorer.aggregator attribute)": [[48, "cleanlab.internal.multilabel_scorer.Aggregator.possible_methods"]], "softmin() (in module cleanlab.internal.multilabel_scorer)": [[48, "cleanlab.internal.multilabel_scorer.softmin"]], "cleanlab.internal.multilabel_utils": [[49, "module-cleanlab.internal.multilabel_utils"]], "get_onehot_num_classes() (in module cleanlab.internal.multilabel_utils)": [[49, "cleanlab.internal.multilabel_utils.get_onehot_num_classes"]], "int2onehot() (in module cleanlab.internal.multilabel_utils)": [[49, "cleanlab.internal.multilabel_utils.int2onehot"]], "onehot2int() (in module cleanlab.internal.multilabel_utils)": [[49, "cleanlab.internal.multilabel_utils.onehot2int"]], "stack_complement() (in module cleanlab.internal.multilabel_utils)": [[49, "cleanlab.internal.multilabel_utils.stack_complement"]], "cleanlab.internal.outlier": [[50, "module-cleanlab.internal.outlier"]], "correct_precision_errors() (in module cleanlab.internal.outlier)": [[50, "cleanlab.internal.outlier.correct_precision_errors"]], "transform_distances_to_scores() (in module cleanlab.internal.outlier)": [[50, "cleanlab.internal.outlier.transform_distances_to_scores"]], "cleanlab.internal.token_classification_utils": [[51, "module-cleanlab.internal.token_classification_utils"]], "color_sentence() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.color_sentence"]], "filter_sentence() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.filter_sentence"]], "get_sentence() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.get_sentence"]], "mapping() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.mapping"]], "merge_probs() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.merge_probs"]], "process_token() (in module cleanlab.internal.token_classification_utils)": [[51, "cleanlab.internal.token_classification_utils.process_token"]], "append_extra_datapoint() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.append_extra_datapoint"]], "cleanlab.internal.util": [[52, "module-cleanlab.internal.util"]], "clip_noise_rates() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.clip_noise_rates"]], "clip_values() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.clip_values"]], "compress_int_array() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.compress_int_array"]], "confusion_matrix() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.confusion_matrix"]], "csr_vstack() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.csr_vstack"]], "estimate_pu_f1() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.estimate_pu_f1"]], "extract_indices_tf() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.extract_indices_tf"]], "force_two_dimensions() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.force_two_dimensions"]], "format_labels() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.format_labels"]], "get_missing_classes() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.get_missing_classes"]], "get_num_classes() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.get_num_classes"]], "get_unique_classes() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.get_unique_classes"]], "is_tensorflow_dataset() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.is_tensorflow_dataset"]], "is_torch_dataset() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.is_torch_dataset"]], "num_unique_classes() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.num_unique_classes"]], "print_inverse_noise_matrix() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.print_inverse_noise_matrix"]], "print_joint_matrix() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.print_joint_matrix"]], "print_noise_matrix() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.print_noise_matrix"]], "print_square_matrix() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.print_square_matrix"]], "remove_noise_from_class() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.remove_noise_from_class"]], "round_preserving_row_totals() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.round_preserving_row_totals"]], "round_preserving_sum() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.round_preserving_sum"]], "smart_display_dataframe() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.smart_display_dataframe"]], "subset_x_y() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.subset_X_y"]], "subset_data() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.subset_data"]], "subset_labels() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.subset_labels"]], "train_val_split() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.train_val_split"]], "unshuffle_tensorflow_dataset() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.unshuffle_tensorflow_dataset"]], "value_counts() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.value_counts"]], "value_counts_fill_missing_classes() (in module cleanlab.internal.util)": [[52, "cleanlab.internal.util.value_counts_fill_missing_classes"]], "assert_indexing_works() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.assert_indexing_works"]], "assert_nonempty_input() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.assert_nonempty_input"]], "assert_valid_class_labels() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.assert_valid_class_labels"]], "assert_valid_inputs() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.assert_valid_inputs"]], "cleanlab.internal.validation": [[53, "module-cleanlab.internal.validation"]], "labels_to_array() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.labels_to_array"]], "labels_to_list_multilabel() (in module cleanlab.internal.validation)": [[53, "cleanlab.internal.validation.labels_to_list_multilabel"]], "cleanlab.models": [[55, "module-cleanlab.models"]], "keraswrappermodel (class in cleanlab.models.keras)": [[56, "cleanlab.models.keras.KerasWrapperModel"]], "keraswrappersequential (class in cleanlab.models.keras)": [[56, "cleanlab.models.keras.KerasWrapperSequential"]], "cleanlab.models.keras": [[56, "module-cleanlab.models.keras"]], "fit() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.fit"]], "fit() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.fit"]], "get_params() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.get_params"]], "get_params() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.get_params"]], "predict() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.predict"]], "predict() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.predict"]], "predict_proba() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.predict_proba"]], "predict_proba() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.predict_proba"]], "set_params() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.set_params"]], "set_params() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.set_params"]], "summary() (cleanlab.models.keras.keraswrappermodel method)": [[56, "cleanlab.models.keras.KerasWrapperModel.summary"]], "summary() (cleanlab.models.keras.keraswrappersequential method)": [[56, "cleanlab.models.keras.KerasWrapperSequential.summary"]], "cleanlab.multiannotator": [[57, "module-cleanlab.multiannotator"]], "convert_long_to_wide_dataset() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.convert_long_to_wide_dataset"]], "get_active_learning_scores() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.get_active_learning_scores"]], "get_active_learning_scores_ensemble() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.get_active_learning_scores_ensemble"]], "get_label_quality_multiannotator() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.get_label_quality_multiannotator"]], "get_label_quality_multiannotator_ensemble() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.get_label_quality_multiannotator_ensemble"]], "get_majority_vote_label() (in module cleanlab.multiannotator)": [[57, "cleanlab.multiannotator.get_majority_vote_label"]], "cleanlab.multilabel_classification.dataset": [[58, "module-cleanlab.multilabel_classification.dataset"]], "common_multilabel_issues() (in module cleanlab.multilabel_classification.dataset)": [[58, "cleanlab.multilabel_classification.dataset.common_multilabel_issues"]], "multilabel_health_summary() (in module cleanlab.multilabel_classification.dataset)": [[58, "cleanlab.multilabel_classification.dataset.multilabel_health_summary"]], "overall_multilabel_health_score() (in module cleanlab.multilabel_classification.dataset)": [[58, "cleanlab.multilabel_classification.dataset.overall_multilabel_health_score"]], "rank_classes_by_multilabel_quality() (in module cleanlab.multilabel_classification.dataset)": [[58, "cleanlab.multilabel_classification.dataset.rank_classes_by_multilabel_quality"]], "cleanlab.multilabel_classification.filter": [[59, "module-cleanlab.multilabel_classification.filter"]], "find_label_issues() (in module cleanlab.multilabel_classification.filter)": [[59, "cleanlab.multilabel_classification.filter.find_label_issues"]], "find_multilabel_issues_per_class() (in module cleanlab.multilabel_classification.filter)": [[59, "cleanlab.multilabel_classification.filter.find_multilabel_issues_per_class"]], "cleanlab.multilabel_classification": [[60, "module-cleanlab.multilabel_classification"]], "cleanlab.multilabel_classification.rank": [[61, "module-cleanlab.multilabel_classification.rank"]], "get_label_quality_scores() (in module cleanlab.multilabel_classification.rank)": [[61, "cleanlab.multilabel_classification.rank.get_label_quality_scores"]], "get_label_quality_scores_per_class() (in module cleanlab.multilabel_classification.rank)": [[61, "cleanlab.multilabel_classification.rank.get_label_quality_scores_per_class"]], "cleanlab.object_detection.filter": [[62, "module-cleanlab.object_detection.filter"]], "find_label_issues() (in module cleanlab.object_detection.filter)": [[62, "cleanlab.object_detection.filter.find_label_issues"]], "cleanlab.object_detection": [[63, "module-cleanlab.object_detection"]], "cleanlab.object_detection.rank": [[64, "module-cleanlab.object_detection.rank"]], "compute_badloc_box_scores() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.compute_badloc_box_scores"]], "compute_overlooked_box_scores() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.compute_overlooked_box_scores"]], "compute_swap_box_scores() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.compute_swap_box_scores"]], "get_label_quality_scores() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.issues_from_scores"]], "pool_box_scores_per_image() (in module cleanlab.object_detection.rank)": [[64, "cleanlab.object_detection.rank.pool_box_scores_per_image"]], "bounding_box_size_distribution() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.bounding_box_size_distribution"]], "calculate_per_class_metrics() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.calculate_per_class_metrics"]], "class_label_distribution() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.class_label_distribution"]], "cleanlab.object_detection.summary": [[65, "module-cleanlab.object_detection.summary"]], "get_average_per_class_confusion_matrix() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.get_average_per_class_confusion_matrix"]], "get_sorted_bbox_count_idxs() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.get_sorted_bbox_count_idxs"]], "object_counts_per_image() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.object_counts_per_image"]], "plot_class_distribution() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.plot_class_distribution"]], "plot_class_size_distributions() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.plot_class_size_distributions"]], "visualize() (in module cleanlab.object_detection.summary)": [[65, "cleanlab.object_detection.summary.visualize"]], "outofdistribution (class in cleanlab.outlier)": [[66, "cleanlab.outlier.OutOfDistribution"]], "cleanlab.outlier": [[66, "module-cleanlab.outlier"]], "fit() (cleanlab.outlier.outofdistribution method)": [[66, "cleanlab.outlier.OutOfDistribution.fit"]], "fit_score() (cleanlab.outlier.outofdistribution method)": [[66, "cleanlab.outlier.OutOfDistribution.fit_score"]], "score() (cleanlab.outlier.outofdistribution method)": [[66, "cleanlab.outlier.OutOfDistribution.score"]], "cleanlab.rank": [[67, "module-cleanlab.rank"]], "find_top_issues() (in module cleanlab.rank)": [[67, "cleanlab.rank.find_top_issues"]], "get_confidence_weighted_entropy_for_each_label() (in module cleanlab.rank)": [[67, "cleanlab.rank.get_confidence_weighted_entropy_for_each_label"]], "get_label_quality_ensemble_scores() (in module cleanlab.rank)": [[67, "cleanlab.rank.get_label_quality_ensemble_scores"]], "get_label_quality_scores() (in module cleanlab.rank)": [[67, "cleanlab.rank.get_label_quality_scores"]], "get_normalized_margin_for_each_label() (in module cleanlab.rank)": [[67, "cleanlab.rank.get_normalized_margin_for_each_label"]], "get_self_confidence_for_each_label() (in module cleanlab.rank)": [[67, "cleanlab.rank.get_self_confidence_for_each_label"]], "order_label_issues() (in module cleanlab.rank)": [[67, "cleanlab.rank.order_label_issues"]], "cleanlab.regression": [[68, "module-cleanlab.regression"]], "cleanlearning (class in cleanlab.regression.learn)": [[69, "cleanlab.regression.learn.CleanLearning"]], "__init_subclass__() (cleanlab.regression.learn.cleanlearning class method)": [[69, "cleanlab.regression.learn.CleanLearning.__init_subclass__"]], "cleanlab.regression.learn": [[69, "module-cleanlab.regression.learn"]], "find_label_issues() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.find_label_issues"]], "fit() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.fit"]], "get_aleatoric_uncertainty() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.get_aleatoric_uncertainty"]], "get_epistemic_uncertainty() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.get_epistemic_uncertainty"]], "get_label_issues() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.get_label_issues"]], "get_metadata_routing() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.get_metadata_routing"]], "get_params() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.get_params"]], "predict() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.predict"]], "save_space() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.save_space"]], "score() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.score"]], "set_fit_request() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.set_fit_request"]], "set_params() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.set_params"]], "set_score_request() (cleanlab.regression.learn.cleanlearning method)": [[69, "cleanlab.regression.learn.CleanLearning.set_score_request"]], "cleanlab.regression.rank": [[70, "module-cleanlab.regression.rank"]], "get_label_quality_scores() (in module cleanlab.regression.rank)": [[70, "cleanlab.regression.rank.get_label_quality_scores"]], "cleanlab.segmentation.filter": [[71, "module-cleanlab.segmentation.filter"]], "find_label_issues() (in module cleanlab.segmentation.filter)": [[71, "cleanlab.segmentation.filter.find_label_issues"]], "cleanlab.segmentation": [[72, "module-cleanlab.segmentation"]], "cleanlab.segmentation.rank": [[73, "module-cleanlab.segmentation.rank"]], "get_label_quality_scores() (in module cleanlab.segmentation.rank)": [[73, "cleanlab.segmentation.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.segmentation.rank)": [[73, "cleanlab.segmentation.rank.issues_from_scores"]], "cleanlab.segmentation.summary": [[74, "module-cleanlab.segmentation.summary"]], "common_label_issues() (in module cleanlab.segmentation.summary)": [[74, "cleanlab.segmentation.summary.common_label_issues"]], "display_issues() (in module cleanlab.segmentation.summary)": [[74, "cleanlab.segmentation.summary.display_issues"]], "filter_by_class() (in module cleanlab.segmentation.summary)": [[74, "cleanlab.segmentation.summary.filter_by_class"]], "cleanlab.token_classification.filter": [[75, "module-cleanlab.token_classification.filter"]], "find_label_issues() (in module cleanlab.token_classification.filter)": [[75, "cleanlab.token_classification.filter.find_label_issues"]], "cleanlab.token_classification": [[76, "module-cleanlab.token_classification"]], "cleanlab.token_classification.rank": [[77, "module-cleanlab.token_classification.rank"]], "get_label_quality_scores() (in module cleanlab.token_classification.rank)": [[77, "cleanlab.token_classification.rank.get_label_quality_scores"]], "issues_from_scores() (in module cleanlab.token_classification.rank)": [[77, "cleanlab.token_classification.rank.issues_from_scores"]], "cleanlab.token_classification.summary": [[78, "module-cleanlab.token_classification.summary"]], "common_label_issues() (in module cleanlab.token_classification.summary)": [[78, "cleanlab.token_classification.summary.common_label_issues"]], "display_issues() (in module cleanlab.token_classification.summary)": [[78, "cleanlab.token_classification.summary.display_issues"]], "filter_by_token() (in module cleanlab.token_classification.summary)": [[78, "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 ef9f11ec7..0b55b5e74 100644
--- a/master/tutorials/clean_learning/tabular.ipynb
+++ b/master/tutorials/clean_learning/tabular.ipynb
@@ -114,10 +114,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:38.251786Z",
-     "iopub.status.busy": "2024-04-06T04:09:38.251371Z",
-     "iopub.status.idle": "2024-04-06T04:09:39.429558Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.428963Z"
+     "iopub.execute_input": "2024-04-06T04:26:50.769823Z",
+     "iopub.status.busy": "2024-04-06T04:26:50.769660Z",
+     "iopub.status.idle": "2024-04-06T04:26:51.904390Z",
+     "shell.execute_reply": "2024-04-06T04:26:51.903868Z"
     },
     "nbsphinx": "hidden"
    },
@@ -127,7 +127,7 @@
     "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@76dfdd23fa2e7f058421aa1938be49b71a7ad5d9\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@e0b7615c1169c6d8fcae15be6477bd7327e82e00\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -152,10 +152,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.432208Z",
-     "iopub.status.busy": "2024-04-06T04:09:39.431907Z",
-     "iopub.status.idle": "2024-04-06T04:09:39.450565Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.450123Z"
+     "iopub.execute_input": "2024-04-06T04:26:51.906925Z",
+     "iopub.status.busy": "2024-04-06T04:26:51.906505Z",
+     "iopub.status.idle": "2024-04-06T04:26:51.925092Z",
+     "shell.execute_reply": "2024-04-06T04:26:51.924644Z"
     }
    },
    "outputs": [],
@@ -196,10 +196,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.452985Z",
-     "iopub.status.busy": "2024-04-06T04:09:39.452427Z",
-     "iopub.status.idle": "2024-04-06T04:09:39.641677Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.641078Z"
+     "iopub.execute_input": "2024-04-06T04:26:51.927250Z",
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+     "iopub.status.idle": "2024-04-06T04:26:52.095031Z",
+     "shell.execute_reply": "2024-04-06T04:26:52.094456Z"
     }
    },
    "outputs": [
@@ -306,10 +306,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.672172Z",
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-     "iopub.status.idle": "2024-04-06T04:09:39.675572Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.675033Z"
+     "iopub.execute_input": "2024-04-06T04:26:52.125272Z",
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+     "iopub.status.idle": "2024-04-06T04:26:52.128526Z",
+     "shell.execute_reply": "2024-04-06T04:26:52.128074Z"
     }
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    "outputs": [],
@@ -330,10 +330,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.677501Z",
-     "iopub.status.busy": "2024-04-06T04:09:39.677316Z",
-     "iopub.status.idle": "2024-04-06T04:09:39.685572Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.685120Z"
+     "iopub.execute_input": "2024-04-06T04:26:52.130584Z",
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     }
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    "outputs": [],
@@ -385,10 +385,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.687602Z",
-     "iopub.status.busy": "2024-04-06T04:09:39.687281Z",
-     "iopub.status.idle": "2024-04-06T04:09:39.689924Z",
-     "shell.execute_reply": "2024-04-06T04:09:39.689398Z"
+     "iopub.execute_input": "2024-04-06T04:26:52.140399Z",
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     }
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    "outputs": [],
@@ -410,10 +410,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:39.691926Z",
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-     "iopub.status.idle": "2024-04-06T04:09:40.209715Z",
-     "shell.execute_reply": "2024-04-06T04:09:40.209193Z"
+     "iopub.execute_input": "2024-04-06T04:26:52.144478Z",
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+     "iopub.status.idle": "2024-04-06T04:26:52.655201Z",
+     "shell.execute_reply": "2024-04-06T04:26:52.654687Z"
     }
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    "outputs": [],
@@ -447,10 +447,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:40.212050Z",
-     "iopub.status.busy": "2024-04-06T04:09:40.211852Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.848617Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.848061Z"
+     "iopub.execute_input": "2024-04-06T04:26:52.657171Z",
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+     "shell.execute_reply": "2024-04-06T04:26:54.225696Z"
     }
    },
    "outputs": [
@@ -482,10 +482,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.851074Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.850564Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.860630Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.860197Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.229079Z",
+     "iopub.status.busy": "2024-04-06T04:26:54.228374Z",
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+     "shell.execute_reply": "2024-04-06T04:26:54.237839Z"
     }
    },
    "outputs": [
@@ -606,10 +606,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.862706Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.862353Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.866398Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.865986Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.240174Z",
+     "iopub.status.busy": "2024-04-06T04:26:54.239999Z",
+     "iopub.status.idle": "2024-04-06T04:26:54.244001Z",
+     "shell.execute_reply": "2024-04-06T04:26:54.243600Z"
     }
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    "outputs": [],
@@ -634,10 +634,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.868397Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.868221Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.874995Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.874558Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.245815Z",
+     "iopub.status.busy": "2024-04-06T04:26:54.245645Z",
+     "iopub.status.idle": "2024-04-06T04:26:54.252428Z",
+     "shell.execute_reply": "2024-04-06T04:26:54.252032Z"
     }
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    "outputs": [],
@@ -659,10 +659,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.876948Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.876642Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.988022Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.987469Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.254565Z",
+     "iopub.status.busy": "2024-04-06T04:26:54.254191Z",
+     "iopub.status.idle": "2024-04-06T04:26:54.363811Z",
+     "shell.execute_reply": "2024-04-06T04:26:54.363293Z"
     }
    },
    "outputs": [
@@ -692,10 +692,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.990422Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.990011Z",
-     "iopub.status.idle": "2024-04-06T04:09:41.992718Z",
-     "shell.execute_reply": "2024-04-06T04:09:41.992308Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.365703Z",
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+     "iopub.status.idle": "2024-04-06T04:26:54.368039Z",
+     "shell.execute_reply": "2024-04-06T04:26:54.367639Z"
     }
    },
    "outputs": [],
@@ -716,10 +716,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:41.994644Z",
-     "iopub.status.busy": "2024-04-06T04:09:41.994339Z",
-     "iopub.status.idle": "2024-04-06T04:09:43.948584Z",
-     "shell.execute_reply": "2024-04-06T04:09:43.947853Z"
+     "iopub.execute_input": "2024-04-06T04:26:54.369822Z",
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+     "shell.execute_reply": "2024-04-06T04:26:56.248990Z"
     }
    },
    "outputs": [],
@@ -739,10 +739,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:43.951633Z",
-     "iopub.status.busy": "2024-04-06T04:09:43.951045Z",
-     "iopub.status.idle": "2024-04-06T04:09:43.962564Z",
-     "shell.execute_reply": "2024-04-06T04:09:43.962106Z"
+     "iopub.execute_input": "2024-04-06T04:26:56.252825Z",
+     "iopub.status.busy": "2024-04-06T04:26:56.252085Z",
+     "iopub.status.idle": "2024-04-06T04:26:56.262987Z",
+     "shell.execute_reply": "2024-04-06T04:26:56.262497Z"
     }
    },
    "outputs": [
@@ -772,10 +772,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-04-06T04:09:43.964516Z",
-     "iopub.status.busy": "2024-04-06T04:09:43.964339Z",
-     "iopub.status.idle": "2024-04-06T04:09:44.016755Z",
-     "shell.execute_reply": "2024-04-06T04:09:44.016258Z"
+     "iopub.execute_input": "2024-04-06T04:26:56.265020Z",
+     "iopub.status.busy": "2024-04-06T04:26:56.264831Z",
+     "iopub.status.idle": "2024-04-06T04:26:56.313621Z",
+     "shell.execute_reply": "2024-04-06T04:26:56.313208Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/clean_learning/text.html b/master/tutorials/clean_learning/text.html
index 42272437d..bac36fac4 100644
--- a/master/tutorials/clean_learning/text.html
+++ b/master/tutorials/clean_learning/text.html
@@ -783,7 +783,7 @@ 
2. Load and format the text dataset
 
 This dataset has 10 classes.
-Classes: {'cancel_transfer', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'beneficiary_not_allowed', 'change_pin', 'getting_spare_card', 'lost_or_stolen_phone', 'visa_or_mastercard', 'card_about_to_expire', 'apple_pay_or_google_pay'}
+Classes: {'cancel_transfer', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'getting_spare_card', 'change_pin', 'card_about_to_expire'}