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b/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb index c84eb4e52..116dab358 100644 --- a/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb @@ -114,10 +114,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:20.808965Z", - "iopub.status.busy": "2024-04-08T19:04:20.808791Z", - "iopub.status.idle": "2024-04-08T19:04:21.997144Z", - "shell.execute_reply": "2024-04-08T19:04:21.996577Z" + "iopub.execute_input": "2024-04-08T21:45:57.068339Z", + "iopub.status.busy": "2024-04-08T21:45:57.067980Z", + "iopub.status.idle": "2024-04-08T21:45:58.278884Z", + "shell.execute_reply": "2024-04-08T21:45:58.278211Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:21.999784Z", - "iopub.status.busy": "2024-04-08T19:04:21.999468Z", - "iopub.status.idle": "2024-04-08T19:04:22.020020Z", - "shell.execute_reply": "2024-04-08T19:04:22.019546Z" + "iopub.execute_input": "2024-04-08T21:45:58.281538Z", + "iopub.status.busy": "2024-04-08T21:45:58.281232Z", + "iopub.status.idle": "2024-04-08T21:45:58.300582Z", + "shell.execute_reply": "2024-04-08T21:45:58.300113Z" } }, "outputs": [], @@ -196,10 +196,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.022733Z", - "iopub.status.busy": "2024-04-08T19:04:22.022190Z", - "iopub.status.idle": "2024-04-08T19:04:22.250382Z", - "shell.execute_reply": "2024-04-08T19:04:22.249811Z" + "iopub.execute_input": "2024-04-08T21:45:58.303240Z", + "iopub.status.busy": "2024-04-08T21:45:58.302768Z", + "iopub.status.idle": "2024-04-08T21:45:58.436390Z", + "shell.execute_reply": "2024-04-08T21:45:58.435821Z" } }, "outputs": [ @@ -306,10 +306,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.288376Z", - "iopub.status.busy": "2024-04-08T19:04:22.287864Z", - "iopub.status.idle": "2024-04-08T19:04:22.292293Z", - "shell.execute_reply": "2024-04-08T19:04:22.291761Z" + "iopub.execute_input": "2024-04-08T21:45:58.468989Z", + "iopub.status.busy": "2024-04-08T21:45:58.468559Z", + "iopub.status.idle": "2024-04-08T21:45:58.472453Z", + "shell.execute_reply": "2024-04-08T21:45:58.471980Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.294486Z", - "iopub.status.busy": "2024-04-08T19:04:22.294124Z", - "iopub.status.idle": "2024-04-08T19:04:22.302832Z", - "shell.execute_reply": "2024-04-08T19:04:22.302384Z" + "iopub.execute_input": "2024-04-08T21:45:58.474540Z", + "iopub.status.busy": "2024-04-08T21:45:58.474221Z", + "iopub.status.idle": "2024-04-08T21:45:58.482919Z", + "shell.execute_reply": "2024-04-08T21:45:58.482477Z" } }, "outputs": [], @@ -385,10 +385,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.305016Z", - "iopub.status.busy": "2024-04-08T19:04:22.304694Z", - "iopub.status.idle": "2024-04-08T19:04:22.307358Z", - "shell.execute_reply": "2024-04-08T19:04:22.306925Z" + "iopub.execute_input": "2024-04-08T21:45:58.485176Z", + "iopub.status.busy": "2024-04-08T21:45:58.484659Z", + "iopub.status.idle": "2024-04-08T21:45:58.487298Z", + "shell.execute_reply": "2024-04-08T21:45:58.486865Z" } }, "outputs": [], @@ -410,10 +410,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.309357Z", - "iopub.status.busy": "2024-04-08T19:04:22.308992Z", - "iopub.status.idle": "2024-04-08T19:04:22.826772Z", - "shell.execute_reply": "2024-04-08T19:04:22.826102Z" + "iopub.execute_input": "2024-04-08T21:45:58.489353Z", + "iopub.status.busy": "2024-04-08T21:45:58.488964Z", + "iopub.status.idle": "2024-04-08T21:45:59.016003Z", + "shell.execute_reply": "2024-04-08T21:45:59.015357Z" } }, "outputs": [], @@ -447,10 +447,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.829195Z", - "iopub.status.busy": "2024-04-08T19:04:22.829001Z", - "iopub.status.idle": "2024-04-08T19:04:24.584334Z", - "shell.execute_reply": "2024-04-08T19:04:24.583696Z" + "iopub.execute_input": "2024-04-08T21:45:59.018616Z", + "iopub.status.busy": "2024-04-08T21:45:59.018418Z", + "iopub.status.idle": "2024-04-08T21:46:00.735533Z", + "shell.execute_reply": "2024-04-08T21:46:00.734843Z" } }, "outputs": [ @@ -482,10 +482,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.587018Z", - "iopub.status.busy": "2024-04-08T19:04:24.586424Z", - "iopub.status.idle": "2024-04-08T19:04:24.596789Z", - "shell.execute_reply": "2024-04-08T19:04:24.596333Z" + "iopub.execute_input": "2024-04-08T21:46:00.738117Z", + "iopub.status.busy": "2024-04-08T21:46:00.737547Z", + "iopub.status.idle": "2024-04-08T21:46:00.747854Z", + "shell.execute_reply": "2024-04-08T21:46:00.747337Z" } }, "outputs": [ @@ -606,10 +606,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.598784Z", - "iopub.status.busy": "2024-04-08T19:04:24.598605Z", - "iopub.status.idle": "2024-04-08T19:04:24.603028Z", - "shell.execute_reply": "2024-04-08T19:04:24.602574Z" + "iopub.execute_input": "2024-04-08T21:46:00.750041Z", + "iopub.status.busy": "2024-04-08T21:46:00.749718Z", + "iopub.status.idle": "2024-04-08T21:46:00.753816Z", + "shell.execute_reply": "2024-04-08T21:46:00.753366Z" } }, "outputs": [], @@ -634,10 +634,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.604932Z", - "iopub.status.busy": "2024-04-08T19:04:24.604757Z", - "iopub.status.idle": "2024-04-08T19:04:24.612374Z", - "shell.execute_reply": "2024-04-08T19:04:24.611848Z" + "iopub.execute_input": "2024-04-08T21:46:00.755965Z", + "iopub.status.busy": "2024-04-08T21:46:00.755652Z", + "iopub.status.idle": "2024-04-08T21:46:00.762575Z", + "shell.execute_reply": "2024-04-08T21:46:00.762154Z" } }, "outputs": [], @@ -659,10 +659,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.614464Z", - "iopub.status.busy": "2024-04-08T19:04:24.614057Z", - "iopub.status.idle": "2024-04-08T19:04:24.725724Z", - "shell.execute_reply": "2024-04-08T19:04:24.725123Z" + "iopub.execute_input": "2024-04-08T21:46:00.764644Z", + "iopub.status.busy": "2024-04-08T21:46:00.764330Z", + "iopub.status.idle": "2024-04-08T21:46:00.877346Z", + "shell.execute_reply": "2024-04-08T21:46:00.876840Z" } }, "outputs": [ @@ -692,10 +692,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.728264Z", - "iopub.status.busy": "2024-04-08T19:04:24.727792Z", - "iopub.status.idle": "2024-04-08T19:04:24.730921Z", - "shell.execute_reply": "2024-04-08T19:04:24.730473Z" + "iopub.execute_input": "2024-04-08T21:46:00.879404Z", + "iopub.status.busy": "2024-04-08T21:46:00.879224Z", + "iopub.status.idle": "2024-04-08T21:46:00.882088Z", + "shell.execute_reply": "2024-04-08T21:46:00.881627Z" } }, "outputs": [], @@ -716,10 +716,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.732880Z", - "iopub.status.busy": "2024-04-08T19:04:24.732594Z", - "iopub.status.idle": "2024-04-08T19:04:26.886972Z", - "shell.execute_reply": "2024-04-08T19:04:26.886312Z" + "iopub.execute_input": "2024-04-08T21:46:00.883949Z", + "iopub.status.busy": "2024-04-08T21:46:00.883778Z", + "iopub.status.idle": "2024-04-08T21:46:02.964272Z", + "shell.execute_reply": "2024-04-08T21:46:02.963585Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:26.889971Z", - "iopub.status.busy": "2024-04-08T19:04:26.889228Z", - "iopub.status.idle": "2024-04-08T19:04:26.900494Z", - "shell.execute_reply": "2024-04-08T19:04:26.899943Z" + "iopub.execute_input": "2024-04-08T21:46:02.967481Z", + "iopub.status.busy": "2024-04-08T21:46:02.966608Z", + "iopub.status.idle": "2024-04-08T21:46:02.978827Z", + "shell.execute_reply": "2024-04-08T21:46:02.978236Z" } }, "outputs": [ @@ -772,10 +772,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:26.902458Z", - "iopub.status.busy": "2024-04-08T19:04:26.902143Z", - "iopub.status.idle": "2024-04-08T19:04:27.012965Z", - "shell.execute_reply": "2024-04-08T19:04:27.012399Z" + "iopub.execute_input": "2024-04-08T21:46:02.980899Z", + "iopub.status.busy": "2024-04-08T21:46:02.980580Z", + "iopub.status.idle": "2024-04-08T21:46:03.004548Z", + "shell.execute_reply": "2024-04-08T21:46:03.003965Z" }, "nbsphinx": "hidden" }, @@ -813,7 +813,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb b/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb index cf6ae4311..f40f695d1 100644 --- a/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb @@ -115,10 +115,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:29.937745Z", - "iopub.status.busy": "2024-04-08T19:04:29.937583Z", - "iopub.status.idle": "2024-04-08T19:04:33.047637Z", - "shell.execute_reply": "2024-04-08T19:04:33.046998Z" + "iopub.execute_input": "2024-04-08T21:46:06.221686Z", + "iopub.status.busy": "2024-04-08T21:46:06.221200Z", + "iopub.status.idle": "2024-04-08T21:46:09.361014Z", + "shell.execute_reply": "2024-04-08T21:46:09.360445Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:33.050116Z", - "iopub.status.busy": "2024-04-08T19:04:33.049809Z", - "iopub.status.idle": "2024-04-08T19:04:33.053073Z", - "shell.execute_reply": "2024-04-08T19:04:33.052649Z" + "iopub.execute_input": "2024-04-08T21:46:09.363647Z", + "iopub.status.busy": "2024-04-08T21:46:09.363253Z", + "iopub.status.idle": "2024-04-08T21:46:09.366528Z", + "shell.execute_reply": "2024-04-08T21:46:09.366102Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.054962Z", - "iopub.status.busy": "2024-04-08T19:04:33.054682Z", - "iopub.status.idle": "2024-04-08T19:04:33.057634Z", - "shell.execute_reply": "2024-04-08T19:04:33.057206Z" + "iopub.execute_input": "2024-04-08T21:46:09.368543Z", + "iopub.status.busy": "2024-04-08T21:46:09.368227Z", + "iopub.status.idle": "2024-04-08T21:46:09.371141Z", + "shell.execute_reply": "2024-04-08T21:46:09.370705Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.059556Z", - "iopub.status.busy": "2024-04-08T19:04:33.059236Z", - "iopub.status.idle": "2024-04-08T19:04:33.304635Z", - "shell.execute_reply": "2024-04-08T19:04:33.304093Z" + "iopub.execute_input": "2024-04-08T21:46:09.373133Z", + "iopub.status.busy": "2024-04-08T21:46:09.372809Z", + "iopub.status.idle": "2024-04-08T21:46:09.397158Z", + "shell.execute_reply": "2024-04-08T21:46:09.396569Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.306822Z", - "iopub.status.busy": "2024-04-08T19:04:33.306485Z", - "iopub.status.idle": "2024-04-08T19:04:33.309981Z", - "shell.execute_reply": "2024-04-08T19:04:33.309578Z" + "iopub.execute_input": "2024-04-08T21:46:09.399759Z", + "iopub.status.busy": "2024-04-08T21:46:09.399318Z", + "iopub.status.idle": "2024-04-08T21:46:09.403157Z", + "shell.execute_reply": "2024-04-08T21:46:09.402590Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.311977Z", - "iopub.status.busy": "2024-04-08T19:04:33.311602Z", - "iopub.status.idle": "2024-04-08T19:04:33.314907Z", - "shell.execute_reply": "2024-04-08T19:04:33.314372Z" + "iopub.execute_input": "2024-04-08T21:46:09.405236Z", + "iopub.status.busy": "2024-04-08T21:46:09.404845Z", + "iopub.status.idle": "2024-04-08T21:46:09.408315Z", + "shell.execute_reply": "2024-04-08T21:46:09.407775Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'visa_or_mastercard', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay'}\n" + "Classes: {'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'card_payment_fee_charged', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.316831Z", - "iopub.status.busy": "2024-04-08T19:04:33.316579Z", - "iopub.status.idle": "2024-04-08T19:04:33.319694Z", - "shell.execute_reply": "2024-04-08T19:04:33.319261Z" + "iopub.execute_input": "2024-04-08T21:46:09.410237Z", + "iopub.status.busy": "2024-04-08T21:46:09.409943Z", + "iopub.status.idle": "2024-04-08T21:46:09.413101Z", + "shell.execute_reply": "2024-04-08T21:46:09.412566Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.321534Z", - "iopub.status.busy": "2024-04-08T19:04:33.321217Z", - "iopub.status.idle": "2024-04-08T19:04:33.324298Z", - "shell.execute_reply": "2024-04-08T19:04:33.323874Z" + "iopub.execute_input": "2024-04-08T21:46:09.415077Z", + "iopub.status.busy": "2024-04-08T21:46:09.414751Z", + "iopub.status.idle": "2024-04-08T21:46:09.418069Z", + "shell.execute_reply": "2024-04-08T21:46:09.417520Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.326161Z", - "iopub.status.busy": "2024-04-08T19:04:33.325901Z", - "iopub.status.idle": "2024-04-08T19:04:39.132517Z", - "shell.execute_reply": "2024-04-08T19:04:39.131899Z" + "iopub.execute_input": "2024-04-08T21:46:09.420330Z", + "iopub.status.busy": "2024-04-08T21:46:09.419902Z", + "iopub.status.idle": "2024-04-08T21:46:13.663207Z", + "shell.execute_reply": "2024-04-08T21:46:13.662544Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "414486671bbc4579b154f2d4dd8df463", + "model_id": "ca53515c3b9541058a7101bcce2962c2", "version_major": 2, "version_minor": 0 }, @@ -477,7 +477,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "596554d1fd004a229dc0e9d5610bace9", + "model_id": "3d6a576d0a4c4615bbe32ce97958a77b", "version_major": 2, "version_minor": 0 }, @@ -491,7 +491,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4a26fef448554f36a9cb66bea78f484a", + "model_id": "445fc7b3370f419a97d75befa400a7c6", "version_major": 2, "version_minor": 0 }, @@ -505,7 +505,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c18cde9a3b464ad1a69d4fbf65c4287b", + "model_id": "25c18c7965fb48c68a87ef99282a4553", "version_major": 2, "version_minor": 0 }, @@ -519,7 +519,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e8839cb132d74eb9a916dda9fdafe1c4", + "model_id": "90210570e43043339f5b21c2dd4bfb80", "version_major": 2, "version_minor": 0 }, @@ -533,7 +533,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5e9e17de388746f4ba1fb4f05e426c4e", + "model_id": "ff91dbb797af4611acdaca215e0d14bd", "version_major": 2, "version_minor": 0 }, @@ -547,7 +547,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3af073a39e45402187f042a3cf90b160", + "model_id": "d3a6c21822af4c58b185e7ed5c38c37c", "version_major": 2, "version_minor": 0 }, @@ -569,7 +569,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", " return self.fget.__get__(instance, owner)()\n" ] } @@ -609,10 +609,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.135354Z", - "iopub.status.busy": "2024-04-08T19:04:39.134961Z", - "iopub.status.idle": "2024-04-08T19:04:39.137900Z", - "shell.execute_reply": "2024-04-08T19:04:39.137434Z" + "iopub.execute_input": "2024-04-08T21:46:13.666642Z", + "iopub.status.busy": "2024-04-08T21:46:13.666267Z", + "iopub.status.idle": "2024-04-08T21:46:13.669783Z", + "shell.execute_reply": "2024-04-08T21:46:13.669182Z" } }, "outputs": [], @@ -634,10 +634,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.139840Z", - "iopub.status.busy": "2024-04-08T19:04:39.139530Z", - "iopub.status.idle": "2024-04-08T19:04:39.141949Z", - "shell.execute_reply": "2024-04-08T19:04:39.141547Z" + "iopub.execute_input": "2024-04-08T21:46:13.672099Z", + "iopub.status.busy": "2024-04-08T21:46:13.671900Z", + "iopub.status.idle": "2024-04-08T21:46:13.674853Z", + "shell.execute_reply": "2024-04-08T21:46:13.674252Z" } }, "outputs": [], @@ -652,10 +652,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.143931Z", - "iopub.status.busy": "2024-04-08T19:04:39.143626Z", - "iopub.status.idle": "2024-04-08T19:04:41.418071Z", - "shell.execute_reply": "2024-04-08T19:04:41.417473Z" + "iopub.execute_input": "2024-04-08T21:46:13.676970Z", + "iopub.status.busy": "2024-04-08T21:46:13.676793Z", + "iopub.status.idle": "2024-04-08T21:46:16.018875Z", + "shell.execute_reply": "2024-04-08T21:46:16.018225Z" }, "scrolled": true }, @@ -678,10 +678,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.421050Z", - "iopub.status.busy": "2024-04-08T19:04:41.420335Z", - "iopub.status.idle": "2024-04-08T19:04:41.427937Z", - "shell.execute_reply": "2024-04-08T19:04:41.427499Z" + "iopub.execute_input": "2024-04-08T21:46:16.021873Z", + "iopub.status.busy": "2024-04-08T21:46:16.021220Z", + "iopub.status.idle": "2024-04-08T21:46:16.029041Z", + "shell.execute_reply": "2024-04-08T21:46:16.028512Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.429872Z", - "iopub.status.busy": "2024-04-08T19:04:41.429566Z", - "iopub.status.idle": "2024-04-08T19:04:41.433444Z", - "shell.execute_reply": "2024-04-08T19:04:41.433009Z" + "iopub.execute_input": "2024-04-08T21:46:16.031290Z", + "iopub.status.busy": "2024-04-08T21:46:16.031014Z", + "iopub.status.idle": "2024-04-08T21:46:16.034817Z", + "shell.execute_reply": "2024-04-08T21:46:16.034373Z" } }, "outputs": [], @@ -799,10 +799,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.435332Z", - "iopub.status.busy": "2024-04-08T19:04:41.435016Z", - "iopub.status.idle": "2024-04-08T19:04:41.437872Z", - "shell.execute_reply": "2024-04-08T19:04:41.437382Z" + "iopub.execute_input": "2024-04-08T21:46:16.036878Z", + "iopub.status.busy": "2024-04-08T21:46:16.036452Z", + "iopub.status.idle": "2024-04-08T21:46:16.039842Z", + "shell.execute_reply": "2024-04-08T21:46:16.039385Z" } }, "outputs": [ @@ -837,10 +837,10 @@ "execution_count": 16, "metadata": { "execution": { - 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"text_color": null + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3869c322f6514e20afdd020bc56fedcc", + "IPY_MODEL_d6497a113c4446d39aa266e94c035a1b", + "IPY_MODEL_6031a160e3a841608a08c6fe19ebd376" + ], + "layout": "IPY_MODEL_a7ad808ad2f74b4c9bcd46a832b1d1f4", + "tabbable": null, + "tooltip": null } } }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb index 28ea897d0..dd1feae76 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:46.105517Z", - "iopub.status.busy": "2024-04-08T19:04:46.104987Z", - "iopub.status.idle": "2024-04-08T19:04:51.038814Z", - "shell.execute_reply": "2024-04-08T19:04:51.038258Z" + "iopub.execute_input": "2024-04-08T21:46:19.829009Z", + "iopub.status.busy": "2024-04-08T21:46:19.828844Z", + "iopub.status.idle": "2024-04-08T21:46:24.797090Z", + "shell.execute_reply": "2024-04-08T21:46:24.796528Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:51.041604Z", - "iopub.status.busy": "2024-04-08T19:04:51.041029Z", - "iopub.status.idle": "2024-04-08T19:04:51.044345Z", - "shell.execute_reply": "2024-04-08T19:04:51.043904Z" + "iopub.execute_input": "2024-04-08T21:46:24.799961Z", + "iopub.status.busy": "2024-04-08T21:46:24.799270Z", + "iopub.status.idle": "2024-04-08T21:46:24.802636Z", + "shell.execute_reply": "2024-04-08T21:46:24.802151Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:51.046287Z", - "iopub.status.busy": "2024-04-08T19:04:51.045963Z", - "iopub.status.idle": "2024-04-08T19:04:51.050303Z", - "shell.execute_reply": "2024-04-08T19:04:51.049883Z" + "iopub.execute_input": "2024-04-08T21:46:24.804827Z", + "iopub.status.busy": "2024-04-08T21:46:24.804415Z", + "iopub.status.idle": "2024-04-08T21:46:24.808816Z", + "shell.execute_reply": "2024-04-08T21:46:24.808386Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:51.052312Z", - "iopub.status.busy": "2024-04-08T19:04:51.051991Z", - "iopub.status.idle": "2024-04-08T19:04:52.964225Z", - "shell.execute_reply": "2024-04-08T19:04:52.963597Z" + "iopub.execute_input": "2024-04-08T21:46:24.810880Z", + "iopub.status.busy": "2024-04-08T21:46:24.810647Z", + "iopub.status.idle": "2024-04-08T21:46:26.264645Z", + "shell.execute_reply": "2024-04-08T21:46:26.264022Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.967053Z", - "iopub.status.busy": "2024-04-08T19:04:52.966626Z", - "iopub.status.idle": "2024-04-08T19:04:52.977284Z", - "shell.execute_reply": "2024-04-08T19:04:52.976855Z" + "iopub.execute_input": "2024-04-08T21:46:26.267342Z", + "iopub.status.busy": "2024-04-08T21:46:26.266945Z", + "iopub.status.idle": "2024-04-08T21:46:26.277681Z", + "shell.execute_reply": "2024-04-08T21:46:26.277212Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.979356Z", - "iopub.status.busy": "2024-04-08T19:04:52.979056Z", - "iopub.status.idle": "2024-04-08T19:04:52.984474Z", - "shell.execute_reply": "2024-04-08T19:04:52.984027Z" + "iopub.execute_input": "2024-04-08T21:46:26.279820Z", + "iopub.status.busy": "2024-04-08T21:46:26.279480Z", + "iopub.status.idle": "2024-04-08T21:46:26.284942Z", + "shell.execute_reply": "2024-04-08T21:46:26.284496Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.986467Z", - "iopub.status.busy": "2024-04-08T19:04:52.986184Z", - "iopub.status.idle": "2024-04-08T19:04:53.470988Z", - "shell.execute_reply": "2024-04-08T19:04:53.470375Z" + "iopub.execute_input": "2024-04-08T21:46:26.287110Z", + "iopub.status.busy": "2024-04-08T21:46:26.286758Z", + "iopub.status.idle": "2024-04-08T21:46:26.740692Z", + "shell.execute_reply": "2024-04-08T21:46:26.740122Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:53.473214Z", - "iopub.status.busy": "2024-04-08T19:04:53.472775Z", - "iopub.status.idle": "2024-04-08T19:04:55.493272Z", - "shell.execute_reply": "2024-04-08T19:04:55.492735Z" + "iopub.execute_input": "2024-04-08T21:46:26.742916Z", + "iopub.status.busy": "2024-04-08T21:46:26.742540Z", + "iopub.status.idle": "2024-04-08T21:46:27.401973Z", + "shell.execute_reply": "2024-04-08T21:46:27.401472Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.495706Z", - "iopub.status.busy": "2024-04-08T19:04:55.495509Z", - "iopub.status.idle": "2024-04-08T19:04:55.513796Z", - "shell.execute_reply": "2024-04-08T19:04:55.513240Z" + "iopub.execute_input": "2024-04-08T21:46:27.404500Z", + "iopub.status.busy": "2024-04-08T21:46:27.404302Z", + "iopub.status.idle": "2024-04-08T21:46:27.422563Z", + "shell.execute_reply": "2024-04-08T21:46:27.421982Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.515946Z", - "iopub.status.busy": "2024-04-08T19:04:55.515624Z", - "iopub.status.idle": "2024-04-08T19:04:55.519151Z", - "shell.execute_reply": "2024-04-08T19:04:55.518745Z" + "iopub.execute_input": "2024-04-08T21:46:27.424814Z", + "iopub.status.busy": "2024-04-08T21:46:27.424470Z", + "iopub.status.idle": "2024-04-08T21:46:27.427574Z", + "shell.execute_reply": "2024-04-08T21:46:27.427128Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.521090Z", - "iopub.status.busy": "2024-04-08T19:04:55.520779Z", - "iopub.status.idle": "2024-04-08T19:05:10.361560Z", - "shell.execute_reply": "2024-04-08T19:05:10.361009Z" + "iopub.execute_input": "2024-04-08T21:46:27.429700Z", + "iopub.status.busy": "2024-04-08T21:46:27.429297Z", + "iopub.status.idle": "2024-04-08T21:46:42.372067Z", + "shell.execute_reply": "2024-04-08T21:46:42.371498Z" }, "id": "2FSQ2GR9R_YA" }, @@ -594,7 +594,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n" ] @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:10.364429Z", - "iopub.status.busy": "2024-04-08T19:05:10.364034Z", - "iopub.status.idle": "2024-04-08T19:05:10.367863Z", - "shell.execute_reply": "2024-04-08T19:05:10.367337Z" + "iopub.execute_input": "2024-04-08T21:46:42.374775Z", + "iopub.status.busy": "2024-04-08T21:46:42.374372Z", + "iopub.status.idle": "2024-04-08T21:46:42.378328Z", + "shell.execute_reply": "2024-04-08T21:46:42.377783Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:10.370078Z", - "iopub.status.busy": "2024-04-08T19:05:10.369656Z", - "iopub.status.idle": "2024-04-08T19:05:11.087473Z", - "shell.execute_reply": "2024-04-08T19:05:11.086872Z" + "iopub.execute_input": "2024-04-08T21:46:42.380536Z", + "iopub.status.busy": "2024-04-08T21:46:42.380263Z", + "iopub.status.idle": "2024-04-08T21:46:43.092934Z", + "shell.execute_reply": "2024-04-08T21:46:43.092363Z" }, "id": "i_drkY9YOcw4" }, @@ -727,10 +727,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.090530Z", - "iopub.status.busy": "2024-04-08T19:05:11.089968Z", - "iopub.status.idle": "2024-04-08T19:05:11.095044Z", - "shell.execute_reply": "2024-04-08T19:05:11.094507Z" + "iopub.execute_input": "2024-04-08T21:46:43.096735Z", + "iopub.status.busy": "2024-04-08T21:46:43.095799Z", + "iopub.status.idle": "2024-04-08T21:46:43.102487Z", + "shell.execute_reply": "2024-04-08T21:46:43.101995Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -777,10 +777,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.098295Z", - "iopub.status.busy": "2024-04-08T19:05:11.097250Z", - "iopub.status.idle": "2024-04-08T19:05:11.200881Z", - "shell.execute_reply": "2024-04-08T19:05:11.200284Z" + "iopub.execute_input": "2024-04-08T21:46:43.106104Z", + "iopub.status.busy": "2024-04-08T21:46:43.105172Z", + "iopub.status.idle": "2024-04-08T21:46:43.224734Z", + "shell.execute_reply": "2024-04-08T21:46:43.224179Z" } }, "outputs": [ @@ -817,10 +817,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.203369Z", - "iopub.status.busy": "2024-04-08T19:05:11.202937Z", - "iopub.status.idle": "2024-04-08T19:05:11.215358Z", - "shell.execute_reply": "2024-04-08T19:05:11.214779Z" + "iopub.execute_input": "2024-04-08T21:46:43.227109Z", + "iopub.status.busy": "2024-04-08T21:46:43.226719Z", + "iopub.status.idle": "2024-04-08T21:46:43.239824Z", + "shell.execute_reply": "2024-04-08T21:46:43.239347Z" }, "scrolled": true }, @@ -875,10 +875,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.217681Z", - "iopub.status.busy": "2024-04-08T19:05:11.217301Z", - "iopub.status.idle": "2024-04-08T19:05:11.225343Z", - "shell.execute_reply": "2024-04-08T19:05:11.224791Z" + "iopub.execute_input": "2024-04-08T21:46:43.241973Z", + "iopub.status.busy": "2024-04-08T21:46:43.241609Z", + "iopub.status.idle": "2024-04-08T21:46:43.249511Z", + "shell.execute_reply": "2024-04-08T21:46:43.248996Z" } }, "outputs": [ @@ -982,10 +982,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.227551Z", - "iopub.status.busy": "2024-04-08T19:05:11.227260Z", - "iopub.status.idle": "2024-04-08T19:05:11.231569Z", - "shell.execute_reply": "2024-04-08T19:05:11.231018Z" + "iopub.execute_input": "2024-04-08T21:46:43.251729Z", + "iopub.status.busy": "2024-04-08T21:46:43.251401Z", + "iopub.status.idle": "2024-04-08T21:46:43.255450Z", + "shell.execute_reply": "2024-04-08T21:46:43.254930Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.233584Z", - "iopub.status.busy": "2024-04-08T19:05:11.233223Z", - "iopub.status.idle": "2024-04-08T19:05:11.238833Z", - "shell.execute_reply": "2024-04-08T19:05:11.238283Z" + "iopub.execute_input": "2024-04-08T21:46:43.257519Z", + "iopub.status.busy": "2024-04-08T21:46:43.257119Z", + "iopub.status.idle": "2024-04-08T21:46:43.262638Z", + "shell.execute_reply": "2024-04-08T21:46:43.262204Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1153,10 +1153,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.240707Z", - "iopub.status.busy": "2024-04-08T19:05:11.240530Z", - "iopub.status.idle": "2024-04-08T19:05:11.595733Z", - "shell.execute_reply": "2024-04-08T19:05:11.595243Z" + "iopub.execute_input": "2024-04-08T21:46:43.264820Z", + "iopub.status.busy": "2024-04-08T21:46:43.264383Z", + "iopub.status.idle": "2024-04-08T21:46:43.617613Z", + "shell.execute_reply": "2024-04-08T21:46:43.617041Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1210,10 +1210,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.597887Z", - "iopub.status.busy": "2024-04-08T19:05:11.597533Z", - "iopub.status.idle": "2024-04-08T19:05:11.705498Z", - "shell.execute_reply": "2024-04-08T19:05:11.704961Z" + "iopub.execute_input": "2024-04-08T21:46:43.619986Z", + "iopub.status.busy": "2024-04-08T21:46:43.619555Z", + "iopub.status.idle": "2024-04-08T21:46:43.726639Z", + "shell.execute_reply": "2024-04-08T21:46:43.726089Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1258,10 +1258,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.707806Z", - "iopub.status.busy": "2024-04-08T19:05:11.707520Z", - "iopub.status.idle": "2024-04-08T19:05:11.814276Z", - "shell.execute_reply": "2024-04-08T19:05:11.813792Z" + "iopub.execute_input": "2024-04-08T21:46:43.728712Z", + "iopub.status.busy": "2024-04-08T21:46:43.728528Z", + "iopub.status.idle": "2024-04-08T21:46:43.833232Z", + "shell.execute_reply": "2024-04-08T21:46:43.832671Z" }, "id": "lfa2eHbMwG8R", "outputId": "6627ebe2-d439-4bf5-e2cb-44f6278ae86c" @@ -1302,10 +1302,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.816405Z", - "iopub.status.busy": "2024-04-08T19:05:11.816094Z", - "iopub.status.idle": "2024-04-08T19:05:11.920916Z", - "shell.execute_reply": "2024-04-08T19:05:11.920366Z" + "iopub.execute_input": "2024-04-08T21:46:43.835431Z", + "iopub.status.busy": "2024-04-08T21:46:43.835246Z", + "iopub.status.idle": "2024-04-08T21:46:43.940278Z", + "shell.execute_reply": "2024-04-08T21:46:43.939779Z" } }, "outputs": [ @@ -1353,10 +1353,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:11.923123Z", - "iopub.status.busy": "2024-04-08T19:05:11.922809Z", - "iopub.status.idle": "2024-04-08T19:05:11.926110Z", - "shell.execute_reply": "2024-04-08T19:05:11.925596Z" + "iopub.execute_input": "2024-04-08T21:46:43.942501Z", + "iopub.status.busy": "2024-04-08T21:46:43.942304Z", + "iopub.status.idle": "2024-04-08T21:46:43.945537Z", + "shell.execute_reply": "2024-04-08T21:46:43.945097Z" }, "nbsphinx": "hidden" }, @@ -1392,28 +1392,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "01548e5746cc4788b0d61577e4b012b3": { - "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": "" - } - }, - "03e98d7846af44088b8a646b91364594": { + "075334b6408e493583a14d3e74f62432": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1428,15 +1412,15 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_6add2113ed1541dfbdb3c42fbbce25fc", + "layout": "IPY_MODEL_73af6f415da94538a728be63788bfbff", "placeholder": "​", - 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"iopub.execute_input": "2024-04-08T19:05:16.056480Z", - "iopub.status.busy": "2024-04-08T19:05:16.056305Z", - "iopub.status.idle": "2024-04-08T19:05:17.226995Z", - "shell.execute_reply": "2024-04-08T19:05:17.226456Z" + "iopub.execute_input": "2024-04-08T21:46:47.309811Z", + "iopub.status.busy": "2024-04-08T21:46:47.309301Z", + "iopub.status.idle": "2024-04-08T21:46:48.481457Z", + "shell.execute_reply": "2024-04-08T21:46:48.480910Z" } }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:17.229650Z", - "iopub.status.busy": "2024-04-08T19:05:17.229169Z", - "iopub.status.idle": "2024-04-08T19:05:17.235852Z", - "shell.execute_reply": "2024-04-08T19:05:17.235318Z" + "iopub.execute_input": "2024-04-08T21:46:48.484191Z", + "iopub.status.busy": "2024-04-08T21:46:48.483673Z", + "iopub.status.idle": "2024-04-08T21:46:48.490491Z", + "shell.execute_reply": "2024-04-08T21:46:48.490050Z" } }, "outputs": [], @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:17.238153Z", - "iopub.status.busy": "2024-04-08T19:05:17.237822Z", - "iopub.status.idle": "2024-04-08T19:05:17.246365Z", - "shell.execute_reply": "2024-04-08T19:05:17.245924Z" + "iopub.execute_input": "2024-04-08T21:46:48.492816Z", + "iopub.status.busy": "2024-04-08T21:46:48.492448Z", + "iopub.status.idle": "2024-04-08T21:46:48.501255Z", + "shell.execute_reply": "2024-04-08T21:46:48.500686Z" } }, "outputs": [], @@ -334,10 +334,10 @@ "execution_count": 4, "metadata": { "execution": { - 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"iopub.execute_input": "2024-04-08T19:05:32.399757Z", - "iopub.status.busy": "2024-04-08T19:05:32.399402Z", - "iopub.status.idle": "2024-04-08T19:05:33.528700Z", - "shell.execute_reply": "2024-04-08T19:05:33.528208Z" + "iopub.execute_input": "2024-04-08T21:47:03.846355Z", + "iopub.status.busy": "2024-04-08T21:47:03.846183Z", + "iopub.status.idle": "2024-04-08T21:47:05.014972Z", + "shell.execute_reply": "2024-04-08T21:47:05.014384Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:33.531324Z", - "iopub.status.busy": "2024-04-08T19:05:33.530883Z", - "iopub.status.idle": "2024-04-08T19:05:33.533905Z", - "shell.execute_reply": "2024-04-08T19:05:33.533461Z" + "iopub.execute_input": "2024-04-08T21:47:05.017594Z", + "iopub.status.busy": "2024-04-08T21:47:05.017160Z", + "iopub.status.idle": "2024-04-08T21:47:05.020320Z", + "shell.execute_reply": "2024-04-08T21:47:05.019760Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.536089Z", - "iopub.status.busy": "2024-04-08T19:05:33.535766Z", - "iopub.status.idle": "2024-04-08T19:05:33.544759Z", - "shell.execute_reply": "2024-04-08T19:05:33.544339Z" + "iopub.execute_input": "2024-04-08T21:47:05.022528Z", + "iopub.status.busy": "2024-04-08T21:47:05.022111Z", + "iopub.status.idle": "2024-04-08T21:47:05.030785Z", + "shell.execute_reply": "2024-04-08T21:47:05.030251Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.546655Z", - "iopub.status.busy": "2024-04-08T19:05:33.546328Z", - "iopub.status.idle": "2024-04-08T19:05:33.551312Z", - "shell.execute_reply": "2024-04-08T19:05:33.550798Z" + "iopub.execute_input": "2024-04-08T21:47:05.032764Z", + "iopub.status.busy": "2024-04-08T21:47:05.032462Z", + "iopub.status.idle": "2024-04-08T21:47:05.037816Z", + "shell.execute_reply": "2024-04-08T21:47:05.037252Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.553494Z", - "iopub.status.busy": "2024-04-08T19:05:33.553202Z", - "iopub.status.idle": "2024-04-08T19:05:33.734474Z", - "shell.execute_reply": "2024-04-08T19:05:33.733871Z" + "iopub.execute_input": "2024-04-08T21:47:05.040234Z", + "iopub.status.busy": "2024-04-08T21:47:05.039770Z", + "iopub.status.idle": "2024-04-08T21:47:05.223875Z", + "shell.execute_reply": "2024-04-08T21:47:05.223263Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - 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"model_name": "HBoxModel", + "model_name": "HTMLStyleModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_914ce1df641b45febd754b94855f6758", - "IPY_MODEL_1ae88ebb9093404db35f11a77eebf512", - "IPY_MODEL_b964e793dbdf439ab0a15c97a2a25707" - ], - "layout": "IPY_MODEL_a6fe3071a0de43bf8ba390921942df7b", - "tabbable": null, - "tooltip": null + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "82f57933ecec4eb5a7d4cd8c9b23669e": { + "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": "" } }, - "a6fe3071a0de43bf8ba390921942df7b": { + "97693c0270884eec8d11a6e85f876393": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1697,48 +1688,31 @@ "width": null } }, - "b964e793dbdf439ab0a15c97a2a25707": { + "b1f6da7561e24947bb89a6bf8eed1b5d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLModel", + "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_ece75fa4a34244dc9e9c365738e7868a", - "placeholder": "​", - "style": "IPY_MODEL_128b3b1a069d412baa8c95c1d60454a4", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1d9ba12450e5401f96f2bed872610271", + "IPY_MODEL_ee462a99228f44328125bb1bb160caaf", + "IPY_MODEL_37c4b0c4f690409b99aa509ad64f8666" + ], + "layout": "IPY_MODEL_97693c0270884eec8d11a6e85f876393", "tabbable": null, - "tooltip": null, - "value": " 132/132 [00:00<00:00, 12706.22 examples/s]" - } - }, - "d88ce31af6724956a7b3b62d32858b5b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "tooltip": null } }, - "ece75fa4a34244dc9e9c365738e7868a": { + "d46d94d436a84b2f95fd49145cafffaf": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1790,6 +1764,32 @@ "visibility": null, "width": null } + }, + "ee462a99228f44328125bb1bb160caaf": { + "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_5ae9c41d8dd8452faae9b9d02aed240c", + "max": 132.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_82f57933ecec4eb5a7d4cd8c9b23669e", + "tabbable": null, + "tooltip": null, + "value": 132.0 + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb index f898d2d07..cc8684ece 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:38.472111Z", - "iopub.status.busy": "2024-04-08T19:05:38.471945Z", - "iopub.status.idle": "2024-04-08T19:05:39.585652Z", - "shell.execute_reply": "2024-04-08T19:05:39.585065Z" + "iopub.execute_input": "2024-04-08T21:47:10.095704Z", + "iopub.status.busy": "2024-04-08T21:47:10.095344Z", + "iopub.status.idle": "2024-04-08T21:47:11.259014Z", + "shell.execute_reply": "2024-04-08T21:47:11.258367Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:39.588303Z", - "iopub.status.busy": "2024-04-08T19:05:39.588056Z", - "iopub.status.idle": "2024-04-08T19:05:39.591474Z", - "shell.execute_reply": "2024-04-08T19:05:39.590968Z" + "iopub.execute_input": "2024-04-08T21:47:11.261676Z", + "iopub.status.busy": "2024-04-08T21:47:11.261389Z", + "iopub.status.idle": "2024-04-08T21:47:11.264583Z", + "shell.execute_reply": "2024-04-08T21:47:11.264112Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.593440Z", - "iopub.status.busy": "2024-04-08T19:05:39.593184Z", - "iopub.status.idle": "2024-04-08T19:05:39.602136Z", - "shell.execute_reply": "2024-04-08T19:05:39.601699Z" + "iopub.execute_input": "2024-04-08T21:47:11.266764Z", + "iopub.status.busy": "2024-04-08T21:47:11.266337Z", + "iopub.status.idle": "2024-04-08T21:47:11.275441Z", + "shell.execute_reply": "2024-04-08T21:47:11.274906Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.604078Z", - "iopub.status.busy": "2024-04-08T19:05:39.603759Z", - "iopub.status.idle": "2024-04-08T19:05:39.608027Z", - "shell.execute_reply": "2024-04-08T19:05:39.607640Z" + "iopub.execute_input": "2024-04-08T21:47:11.277319Z", + "iopub.status.busy": "2024-04-08T21:47:11.277011Z", + "iopub.status.idle": "2024-04-08T21:47:11.282210Z", + "shell.execute_reply": "2024-04-08T21:47:11.281648Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.609991Z", - "iopub.status.busy": "2024-04-08T19:05:39.609678Z", - "iopub.status.idle": "2024-04-08T19:05:39.789021Z", - "shell.execute_reply": "2024-04-08T19:05:39.788487Z" + "iopub.execute_input": "2024-04-08T21:47:11.284444Z", + "iopub.status.busy": "2024-04-08T21:47:11.284128Z", + "iopub.status.idle": "2024-04-08T21:47:11.475769Z", + "shell.execute_reply": "2024-04-08T21:47:11.475183Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.791556Z", - "iopub.status.busy": "2024-04-08T19:05:39.791137Z", - "iopub.status.idle": "2024-04-08T19:05:40.161861Z", - "shell.execute_reply": "2024-04-08T19:05:40.161278Z" + "iopub.execute_input": "2024-04-08T21:47:11.478198Z", + "iopub.status.busy": "2024-04-08T21:47:11.477866Z", + "iopub.status.idle": "2024-04-08T21:47:11.841699Z", + "shell.execute_reply": "2024-04-08T21:47:11.841089Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.164104Z", - "iopub.status.busy": "2024-04-08T19:05:40.163680Z", - "iopub.status.idle": "2024-04-08T19:05:40.166534Z", - "shell.execute_reply": "2024-04-08T19:05:40.165994Z" + "iopub.execute_input": "2024-04-08T21:47:11.843887Z", + "iopub.status.busy": "2024-04-08T21:47:11.843650Z", + "iopub.status.idle": "2024-04-08T21:47:11.846554Z", + "shell.execute_reply": "2024-04-08T21:47:11.846003Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.168465Z", - "iopub.status.busy": "2024-04-08T19:05:40.168160Z", - "iopub.status.idle": "2024-04-08T19:05:40.204106Z", - "shell.execute_reply": "2024-04-08T19:05:40.203573Z" + "iopub.execute_input": "2024-04-08T21:47:11.848818Z", + "iopub.status.busy": "2024-04-08T21:47:11.848482Z", + "iopub.status.idle": "2024-04-08T21:47:11.884903Z", + "shell.execute_reply": "2024-04-08T21:47:11.884311Z" } }, "outputs": [ @@ -613,7 +613,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.\n", " warnings.warn(\n" ] } @@ -647,10 +647,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.206126Z", - "iopub.status.busy": "2024-04-08T19:05:40.205831Z", - "iopub.status.idle": "2024-04-08T19:05:41.861121Z", - "shell.execute_reply": "2024-04-08T19:05:41.860499Z" + "iopub.execute_input": "2024-04-08T21:47:11.887326Z", + "iopub.status.busy": "2024-04-08T21:47:11.886977Z", + "iopub.status.idle": "2024-04-08T21:47:13.612164Z", + "shell.execute_reply": "2024-04-08T21:47:13.611468Z" } }, "outputs": [ @@ -688,7 +688,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -711,10 +711,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.863740Z", - "iopub.status.busy": "2024-04-08T19:05:41.863237Z", - "iopub.status.idle": "2024-04-08T19:05:41.882767Z", - "shell.execute_reply": "2024-04-08T19:05:41.882319Z" + "iopub.execute_input": "2024-04-08T21:47:13.614733Z", + "iopub.status.busy": "2024-04-08T21:47:13.614125Z", + "iopub.status.idle": "2024-04-08T21:47:13.633970Z", + "shell.execute_reply": "2024-04-08T21:47:13.633488Z" } }, "outputs": [ @@ -842,10 +842,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.884850Z", - "iopub.status.busy": "2024-04-08T19:05:41.884544Z", - "iopub.status.idle": "2024-04-08T19:05:41.890743Z", - "shell.execute_reply": "2024-04-08T19:05:41.890221Z" + "iopub.execute_input": "2024-04-08T21:47:13.636314Z", + "iopub.status.busy": "2024-04-08T21:47:13.636020Z", + "iopub.status.idle": "2024-04-08T21:47:13.642889Z", + "shell.execute_reply": "2024-04-08T21:47:13.642292Z" } }, "outputs": [ @@ -956,10 +956,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.892670Z", - "iopub.status.busy": "2024-04-08T19:05:41.892376Z", - "iopub.status.idle": "2024-04-08T19:05:41.897724Z", - "shell.execute_reply": "2024-04-08T19:05:41.897233Z" + "iopub.execute_input": "2024-04-08T21:47:13.645278Z", + "iopub.status.busy": "2024-04-08T21:47:13.645054Z", + "iopub.status.idle": "2024-04-08T21:47:13.651206Z", + "shell.execute_reply": "2024-04-08T21:47:13.650653Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.899726Z", - "iopub.status.busy": "2024-04-08T19:05:41.899419Z", - "iopub.status.idle": "2024-04-08T19:05:41.909317Z", - "shell.execute_reply": "2024-04-08T19:05:41.908907Z" + "iopub.execute_input": "2024-04-08T21:47:13.653923Z", + "iopub.status.busy": "2024-04-08T21:47:13.653395Z", + "iopub.status.idle": "2024-04-08T21:47:13.664569Z", + "shell.execute_reply": "2024-04-08T21:47:13.664034Z" } }, "outputs": [ @@ -1221,10 +1221,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.911355Z", - "iopub.status.busy": "2024-04-08T19:05:41.911042Z", - "iopub.status.idle": "2024-04-08T19:05:41.919704Z", - "shell.execute_reply": "2024-04-08T19:05:41.919301Z" + "iopub.execute_input": "2024-04-08T21:47:13.667793Z", + "iopub.status.busy": "2024-04-08T21:47:13.667305Z", + "iopub.status.idle": "2024-04-08T21:47:13.677997Z", + "shell.execute_reply": "2024-04-08T21:47:13.677410Z" } }, "outputs": [ @@ -1340,10 +1340,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.921572Z", - "iopub.status.busy": "2024-04-08T19:05:41.921400Z", - "iopub.status.idle": "2024-04-08T19:05:41.928223Z", - "shell.execute_reply": "2024-04-08T19:05:41.927710Z" + "iopub.execute_input": "2024-04-08T21:47:13.680519Z", + "iopub.status.busy": "2024-04-08T21:47:13.680342Z", + "iopub.status.idle": "2024-04-08T21:47:13.687707Z", + "shell.execute_reply": "2024-04-08T21:47:13.687174Z" }, "scrolled": true }, @@ -1468,10 +1468,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.930139Z", - "iopub.status.busy": "2024-04-08T19:05:41.929966Z", - "iopub.status.idle": "2024-04-08T19:05:41.939155Z", - "shell.execute_reply": "2024-04-08T19:05:41.938682Z" + "iopub.execute_input": "2024-04-08T21:47:13.690113Z", + "iopub.status.busy": "2024-04-08T21:47:13.689806Z", + "iopub.status.idle": "2024-04-08T21:47:13.700432Z", + "shell.execute_reply": "2024-04-08T21:47:13.699847Z" } }, "outputs": [ @@ -1586,7 +1586,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "vscode": { "interpreter": { diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb index e5222c4f6..7bd202343 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb @@ -71,10 +71,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:44.455598Z", - "iopub.status.busy": "2024-04-08T19:05:44.455183Z", - "iopub.status.idle": "2024-04-08T19:05:47.311029Z", - "shell.execute_reply": "2024-04-08T19:05:47.310392Z" + "iopub.execute_input": "2024-04-08T21:47:16.566734Z", + "iopub.status.busy": "2024-04-08T21:47:16.566240Z", + "iopub.status.idle": "2024-04-08T21:47:19.469564Z", + "shell.execute_reply": "2024-04-08T21:47:19.469001Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { 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"StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index 763870823..9b27268b0 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": "2024-04-08T19:11:39.427663Z", - "iopub.status.busy": "2024-04-08T19:11:39.427246Z", - "iopub.status.idle": "2024-04-08T19:11:40.493201Z", - "shell.execute_reply": "2024-04-08T19:11:40.492649Z" + "iopub.execute_input": "2024-04-08T21:52:07.150619Z", + "iopub.status.busy": "2024-04-08T21:52:07.150453Z", + "iopub.status.idle": "2024-04-08T21:52:08.223701Z", + "shell.execute_reply": "2024-04-08T21:52:08.223074Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:11:40.495661Z", - "iopub.status.busy": "2024-04-08T19:11:40.495382Z", - "iopub.status.idle": "2024-04-08T19:11:40.513938Z", - "shell.execute_reply": "2024-04-08T19:11:40.513525Z" + "iopub.execute_input": "2024-04-08T21:52:08.226562Z", + "iopub.status.busy": "2024-04-08T21:52:08.226022Z", + "iopub.status.idle": "2024-04-08T21:52:08.244493Z", + "shell.execute_reply": "2024-04-08T21:52:08.244070Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.515940Z", - "iopub.status.busy": "2024-04-08T19:11:40.515700Z", - "iopub.status.idle": "2024-04-08T19:11:40.560958Z", - "shell.execute_reply": "2024-04-08T19:11:40.560524Z" + "iopub.execute_input": "2024-04-08T21:52:08.246664Z", + "iopub.status.busy": "2024-04-08T21:52:08.246284Z", + "iopub.status.idle": "2024-04-08T21:52:08.274975Z", + "shell.execute_reply": "2024-04-08T21:52:08.274428Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.562932Z", - "iopub.status.busy": "2024-04-08T19:11:40.562610Z", - "iopub.status.idle": "2024-04-08T19:11:40.566002Z", - "shell.execute_reply": "2024-04-08T19:11:40.565577Z" + "iopub.execute_input": "2024-04-08T21:52:08.277126Z", + "iopub.status.busy": "2024-04-08T21:52:08.276731Z", + "iopub.status.idle": "2024-04-08T21:52:08.280143Z", + "shell.execute_reply": "2024-04-08T21:52:08.279662Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.567900Z", - "iopub.status.busy": "2024-04-08T19:11:40.567583Z", - "iopub.status.idle": "2024-04-08T19:11:40.574730Z", - "shell.execute_reply": "2024-04-08T19:11:40.574279Z" + "iopub.execute_input": "2024-04-08T21:52:08.282096Z", + "iopub.status.busy": "2024-04-08T21:52:08.281805Z", + "iopub.status.idle": "2024-04-08T21:52:08.289175Z", + "shell.execute_reply": "2024-04-08T21:52:08.288644Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.576667Z", - "iopub.status.busy": "2024-04-08T19:11:40.576404Z", - "iopub.status.idle": "2024-04-08T19:11:40.578794Z", - "shell.execute_reply": "2024-04-08T19:11:40.578358Z" + "iopub.execute_input": "2024-04-08T21:52:08.291505Z", + "iopub.status.busy": "2024-04-08T21:52:08.291173Z", + "iopub.status.idle": "2024-04-08T21:52:08.294219Z", + "shell.execute_reply": "2024-04-08T21:52:08.293788Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.580843Z", - "iopub.status.busy": "2024-04-08T19:11:40.580536Z", - "iopub.status.idle": "2024-04-08T19:11:43.565419Z", - "shell.execute_reply": "2024-04-08T19:11:43.564907Z" + "iopub.execute_input": "2024-04-08T21:52:08.296328Z", + "iopub.status.busy": "2024-04-08T21:52:08.295995Z", + "iopub.status.idle": "2024-04-08T21:52:11.222567Z", + "shell.execute_reply": "2024-04-08T21:52:11.221929Z" } }, "outputs": [], @@ -402,10 +402,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:43.568043Z", - "iopub.status.busy": "2024-04-08T19:11:43.567842Z", - "iopub.status.idle": "2024-04-08T19:11:43.577436Z", - "shell.execute_reply": "2024-04-08T19:11:43.577042Z" + "iopub.execute_input": "2024-04-08T21:52:11.225452Z", + "iopub.status.busy": "2024-04-08T21:52:11.224989Z", + "iopub.status.idle": "2024-04-08T21:52:11.234228Z", + "shell.execute_reply": "2024-04-08T21:52:11.233769Z" } }, "outputs": [], @@ -437,10 +437,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:43.579441Z", - "iopub.status.busy": "2024-04-08T19:11:43.579134Z", - "iopub.status.idle": "2024-04-08T19:11:45.292514Z", - "shell.execute_reply": "2024-04-08T19:11:45.291914Z" + "iopub.execute_input": "2024-04-08T21:52:11.236385Z", + "iopub.status.busy": "2024-04-08T21:52:11.236010Z", + "iopub.status.idle": "2024-04-08T21:52:12.934764Z", + "shell.execute_reply": "2024-04-08T21:52:12.934166Z" } }, "outputs": [ @@ -468,7 +468,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -485,10 +485,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.296728Z", - "iopub.status.busy": "2024-04-08T19:11:45.295425Z", - "iopub.status.idle": "2024-04-08T19:11:45.320295Z", - "shell.execute_reply": "2024-04-08T19:11:45.319812Z" + "iopub.execute_input": "2024-04-08T21:52:12.937827Z", + "iopub.status.busy": "2024-04-08T21:52:12.937063Z", + "iopub.status.idle": "2024-04-08T21:52:12.959960Z", + "shell.execute_reply": "2024-04-08T21:52:12.959474Z" }, "scrolled": true }, @@ -613,10 +613,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.323669Z", - "iopub.status.busy": "2024-04-08T19:11:45.322766Z", - "iopub.status.idle": "2024-04-08T19:11:45.333647Z", - "shell.execute_reply": "2024-04-08T19:11:45.333187Z" + "iopub.execute_input": "2024-04-08T21:52:12.962291Z", + "iopub.status.busy": "2024-04-08T21:52:12.961921Z", + "iopub.status.idle": "2024-04-08T21:52:12.970867Z", + "shell.execute_reply": "2024-04-08T21:52:12.970359Z" } }, "outputs": [ @@ -720,10 +720,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.336997Z", - "iopub.status.busy": "2024-04-08T19:11:45.336094Z", - "iopub.status.idle": "2024-04-08T19:11:45.348729Z", - "shell.execute_reply": "2024-04-08T19:11:45.348256Z" + "iopub.execute_input": "2024-04-08T21:52:12.973159Z", + "iopub.status.busy": "2024-04-08T21:52:12.972786Z", + "iopub.status.idle": "2024-04-08T21:52:12.983332Z", + "shell.execute_reply": "2024-04-08T21:52:12.982832Z" } }, "outputs": [ @@ -852,10 +852,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.352087Z", - "iopub.status.busy": "2024-04-08T19:11:45.351199Z", - "iopub.status.idle": "2024-04-08T19:11:45.362031Z", - "shell.execute_reply": "2024-04-08T19:11:45.361569Z" + "iopub.execute_input": "2024-04-08T21:52:12.985662Z", + "iopub.status.busy": "2024-04-08T21:52:12.985290Z", + "iopub.status.idle": "2024-04-08T21:52:12.994136Z", + "shell.execute_reply": "2024-04-08T21:52:12.993656Z" } }, "outputs": [ @@ -969,10 +969,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.365401Z", - "iopub.status.busy": "2024-04-08T19:11:45.364508Z", - "iopub.status.idle": "2024-04-08T19:11:45.376129Z", - "shell.execute_reply": "2024-04-08T19:11:45.375592Z" + "iopub.execute_input": "2024-04-08T21:52:12.996453Z", + "iopub.status.busy": "2024-04-08T21:52:12.996091Z", + "iopub.status.idle": "2024-04-08T21:52:13.007173Z", + "shell.execute_reply": "2024-04-08T21:52:13.006680Z" } }, "outputs": [ @@ -1083,10 +1083,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.378395Z", - "iopub.status.busy": "2024-04-08T19:11:45.378081Z", - "iopub.status.idle": "2024-04-08T19:11:45.384257Z", - "shell.execute_reply": "2024-04-08T19:11:45.383732Z" + "iopub.execute_input": "2024-04-08T21:52:13.010554Z", + "iopub.status.busy": "2024-04-08T21:52:13.009652Z", + "iopub.status.idle": "2024-04-08T21:52:13.018412Z", + "shell.execute_reply": "2024-04-08T21:52:13.018001Z" } }, "outputs": [ @@ -1170,10 +1170,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.386145Z", - "iopub.status.busy": "2024-04-08T19:11:45.385969Z", - "iopub.status.idle": "2024-04-08T19:11:45.392100Z", - "shell.execute_reply": "2024-04-08T19:11:45.391633Z" + "iopub.execute_input": "2024-04-08T21:52:13.020519Z", + "iopub.status.busy": "2024-04-08T21:52:13.020174Z", + "iopub.status.idle": "2024-04-08T21:52:13.026633Z", + "shell.execute_reply": "2024-04-08T21:52:13.026214Z" } }, "outputs": [ @@ -1266,10 +1266,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.394135Z", - "iopub.status.busy": "2024-04-08T19:11:45.393818Z", - "iopub.status.idle": "2024-04-08T19:11:45.399861Z", - "shell.execute_reply": "2024-04-08T19:11:45.399452Z" + "iopub.execute_input": "2024-04-08T21:52:13.028931Z", + "iopub.status.busy": "2024-04-08T21:52:13.028762Z", + "iopub.status.idle": "2024-04-08T21:52:13.035902Z", + "shell.execute_reply": "2024-04-08T21:52:13.035334Z" }, "nbsphinx": "hidden" }, @@ -1320,7 +1320,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index cdfc50478..68772ba11 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": "2024-04-08T19:11:47.873795Z", - "iopub.status.busy": "2024-04-08T19:11:47.873616Z", - "iopub.status.idle": "2024-04-08T19:11:50.509546Z", - "shell.execute_reply": "2024-04-08T19:11:50.508929Z" + "iopub.execute_input": "2024-04-08T21:52:15.635095Z", + "iopub.status.busy": "2024-04-08T21:52:15.634936Z", + "iopub.status.idle": "2024-04-08T21:52:18.199131Z", + "shell.execute_reply": "2024-04-08T21:52:18.198595Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:11:50.512202Z", - "iopub.status.busy": "2024-04-08T19:11:50.511881Z", - "iopub.status.idle": "2024-04-08T19:11:50.515413Z", - "shell.execute_reply": "2024-04-08T19:11:50.514847Z" + "iopub.execute_input": "2024-04-08T21:52:18.201615Z", + "iopub.status.busy": "2024-04-08T21:52:18.201329Z", + "iopub.status.idle": "2024-04-08T21:52:18.204631Z", + "shell.execute_reply": "2024-04-08T21:52:18.204195Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.517389Z", - "iopub.status.busy": "2024-04-08T19:11:50.517121Z", - "iopub.status.idle": "2024-04-08T19:11:50.520136Z", - "shell.execute_reply": "2024-04-08T19:11:50.519721Z" + "iopub.execute_input": "2024-04-08T21:52:18.206585Z", + "iopub.status.busy": "2024-04-08T21:52:18.206242Z", + "iopub.status.idle": "2024-04-08T21:52:18.209410Z", + "shell.execute_reply": "2024-04-08T21:52:18.208877Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.522130Z", - "iopub.status.busy": "2024-04-08T19:11:50.521805Z", - "iopub.status.idle": "2024-04-08T19:11:50.573099Z", - "shell.execute_reply": "2024-04-08T19:11:50.572633Z" + "iopub.execute_input": "2024-04-08T21:52:18.211474Z", + "iopub.status.busy": "2024-04-08T21:52:18.211050Z", + "iopub.status.idle": "2024-04-08T21:52:18.235630Z", + "shell.execute_reply": "2024-04-08T21:52:18.235102Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.575235Z", - "iopub.status.busy": "2024-04-08T19:11:50.574826Z", - "iopub.status.idle": "2024-04-08T19:11:50.578661Z", - "shell.execute_reply": "2024-04-08T19:11:50.578198Z" + "iopub.execute_input": "2024-04-08T21:52:18.237655Z", + "iopub.status.busy": "2024-04-08T21:52:18.237347Z", + "iopub.status.idle": "2024-04-08T21:52:18.241014Z", + "shell.execute_reply": "2024-04-08T21:52:18.240483Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'cancel_transfer', 'getting_spare_card', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'card_about_to_expire'}\n" + "Classes: {'getting_spare_card', 'card_about_to_expire', 'change_pin', 'cancel_transfer', 'visa_or_mastercard', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.580716Z", - "iopub.status.busy": "2024-04-08T19:11:50.580386Z", - "iopub.status.idle": "2024-04-08T19:11:50.583329Z", - "shell.execute_reply": "2024-04-08T19:11:50.582809Z" + "iopub.execute_input": "2024-04-08T21:52:18.243010Z", + "iopub.status.busy": "2024-04-08T21:52:18.242645Z", + "iopub.status.idle": "2024-04-08T21:52:18.245817Z", + "shell.execute_reply": "2024-04-08T21:52:18.245289Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.585157Z", - "iopub.status.busy": "2024-04-08T19:11:50.584978Z", - "iopub.status.idle": "2024-04-08T19:11:54.999343Z", - "shell.execute_reply": "2024-04-08T19:11:54.998804Z" + "iopub.execute_input": "2024-04-08T21:52:18.247927Z", + "iopub.status.busy": "2024-04-08T21:52:18.247546Z", + "iopub.status.idle": "2024-04-08T21:52:21.805036Z", + "shell.execute_reply": "2024-04-08T21:52:21.804395Z" } }, "outputs": [ @@ -383,7 +383,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", " return self.fget.__get__(instance, owner)()\n" ] } @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.002005Z", - "iopub.status.busy": "2024-04-08T19:11:55.001591Z", - "iopub.status.idle": "2024-04-08T19:11:55.890538Z", - "shell.execute_reply": "2024-04-08T19:11:55.889962Z" + "iopub.execute_input": "2024-04-08T21:52:21.807692Z", + "iopub.status.busy": "2024-04-08T21:52:21.807502Z", + "iopub.status.idle": "2024-04-08T21:52:22.722788Z", + "shell.execute_reply": "2024-04-08T21:52:22.722220Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.893249Z", - "iopub.status.busy": "2024-04-08T19:11:55.892862Z", - "iopub.status.idle": "2024-04-08T19:11:55.895882Z", - "shell.execute_reply": "2024-04-08T19:11:55.895415Z" + "iopub.execute_input": "2024-04-08T21:52:22.725502Z", + "iopub.status.busy": "2024-04-08T21:52:22.725131Z", + "iopub.status.idle": "2024-04-08T21:52:22.728139Z", + "shell.execute_reply": "2024-04-08T21:52:22.727657Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.898149Z", - "iopub.status.busy": "2024-04-08T19:11:55.897768Z", - "iopub.status.idle": "2024-04-08T19:11:57.484712Z", - "shell.execute_reply": "2024-04-08T19:11:57.482845Z" + "iopub.execute_input": "2024-04-08T21:52:22.730441Z", + "iopub.status.busy": "2024-04-08T21:52:22.730051Z", + "iopub.status.idle": "2024-04-08T21:52:24.235608Z", + "shell.execute_reply": "2024-04-08T21:52:24.235008Z" }, "scrolled": true }, @@ -516,7 +516,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.489057Z", - "iopub.status.busy": "2024-04-08T19:11:57.487744Z", - "iopub.status.idle": "2024-04-08T19:11:57.513599Z", - "shell.execute_reply": "2024-04-08T19:11:57.513105Z" + "iopub.execute_input": "2024-04-08T21:52:24.238579Z", + "iopub.status.busy": "2024-04-08T21:52:24.237797Z", + "iopub.status.idle": "2024-04-08T21:52:24.261361Z", + "shell.execute_reply": "2024-04-08T21:52:24.260879Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.517153Z", - "iopub.status.busy": "2024-04-08T19:11:57.516242Z", - "iopub.status.idle": "2024-04-08T19:11:57.527834Z", - "shell.execute_reply": "2024-04-08T19:11:57.527359Z" + "iopub.execute_input": "2024-04-08T21:52:24.264563Z", + "iopub.status.busy": "2024-04-08T21:52:24.263513Z", + "iopub.status.idle": "2024-04-08T21:52:24.275189Z", + "shell.execute_reply": "2024-04-08T21:52:24.274666Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.531248Z", - "iopub.status.busy": "2024-04-08T19:11:57.530335Z", - "iopub.status.idle": "2024-04-08T19:11:57.536787Z", - "shell.execute_reply": "2024-04-08T19:11:57.536230Z" + "iopub.execute_input": "2024-04-08T21:52:24.278666Z", + "iopub.status.busy": "2024-04-08T21:52:24.277755Z", + "iopub.status.idle": "2024-04-08T21:52:24.284253Z", + "shell.execute_reply": "2024-04-08T21:52:24.283764Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.538876Z", - "iopub.status.busy": "2024-04-08T19:11:57.538699Z", - "iopub.status.idle": "2024-04-08T19:11:57.546063Z", - "shell.execute_reply": "2024-04-08T19:11:57.545305Z" + "iopub.execute_input": "2024-04-08T21:52:24.287468Z", + "iopub.status.busy": "2024-04-08T21:52:24.286748Z", + "iopub.status.idle": "2024-04-08T21:52:24.293548Z", + "shell.execute_reply": "2024-04-08T21:52:24.293108Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.548261Z", - "iopub.status.busy": "2024-04-08T19:11:57.547854Z", - "iopub.status.idle": "2024-04-08T19:11:57.554234Z", - "shell.execute_reply": "2024-04-08T19:11:57.553695Z" + "iopub.execute_input": "2024-04-08T21:52:24.295474Z", + "iopub.status.busy": "2024-04-08T21:52:24.295152Z", + "iopub.status.idle": "2024-04-08T21:52:24.301318Z", + "shell.execute_reply": "2024-04-08T21:52:24.300855Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.556102Z", - "iopub.status.busy": "2024-04-08T19:11:57.555808Z", - "iopub.status.idle": "2024-04-08T19:11:57.561366Z", - "shell.execute_reply": "2024-04-08T19:11:57.560849Z" + "iopub.execute_input": "2024-04-08T21:52:24.303288Z", + "iopub.status.busy": "2024-04-08T21:52:24.302901Z", + "iopub.status.idle": "2024-04-08T21:52:24.308584Z", + "shell.execute_reply": "2024-04-08T21:52:24.308040Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.563375Z", - "iopub.status.busy": "2024-04-08T19:11:57.563066Z", - "iopub.status.idle": "2024-04-08T19:11:57.571545Z", - "shell.execute_reply": "2024-04-08T19:11:57.571096Z" + "iopub.execute_input": "2024-04-08T21:52:24.310530Z", + "iopub.status.busy": "2024-04-08T21:52:24.310234Z", + "iopub.status.idle": "2024-04-08T21:52:24.318523Z", + "shell.execute_reply": "2024-04-08T21:52:24.317991Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.573469Z", - "iopub.status.busy": "2024-04-08T19:11:57.573151Z", - "iopub.status.idle": "2024-04-08T19:11:57.578415Z", - "shell.execute_reply": "2024-04-08T19:11:57.577995Z" + "iopub.execute_input": "2024-04-08T21:52:24.320594Z", + "iopub.status.busy": "2024-04-08T21:52:24.320177Z", + "iopub.status.idle": "2024-04-08T21:52:24.325249Z", + "shell.execute_reply": "2024-04-08T21:52:24.324830Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.580309Z", - "iopub.status.busy": "2024-04-08T19:11:57.579985Z", - "iopub.status.idle": "2024-04-08T19:11:57.585107Z", - "shell.execute_reply": "2024-04-08T19:11:57.584704Z" + "iopub.execute_input": "2024-04-08T21:52:24.327414Z", + "iopub.status.busy": "2024-04-08T21:52:24.326899Z", + "iopub.status.idle": "2024-04-08T21:52:24.332073Z", + "shell.execute_reply": "2024-04-08T21:52:24.331655Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.587089Z", - "iopub.status.busy": "2024-04-08T19:11:57.586774Z", - "iopub.status.idle": "2024-04-08T19:11:57.590241Z", - "shell.execute_reply": "2024-04-08T19:11:57.589704Z" + "iopub.execute_input": "2024-04-08T21:52:24.334102Z", + "iopub.status.busy": "2024-04-08T21:52:24.333715Z", + "iopub.status.idle": "2024-04-08T21:52:24.337300Z", + "shell.execute_reply": "2024-04-08T21:52:24.336756Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.592302Z", - "iopub.status.busy": "2024-04-08T19:11:57.591981Z", - "iopub.status.idle": "2024-04-08T19:11:57.597076Z", - "shell.execute_reply": "2024-04-08T19:11:57.596530Z" + "iopub.execute_input": "2024-04-08T21:52:24.339310Z", + "iopub.status.busy": "2024-04-08T21:52:24.338988Z", + "iopub.status.idle": "2024-04-08T21:52:24.343727Z", + "shell.execute_reply": "2024-04-08T21:52:24.343284Z" }, "nbsphinx": "hidden" }, @@ -1503,7 +1503,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb index 8386c499c..44ea2cb8f 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": "2024-04-08T19:12:00.906624Z", - "iopub.status.busy": "2024-04-08T19:12:00.906269Z", - "iopub.status.idle": "2024-04-08T19:12:02.013278Z", - "shell.execute_reply": "2024-04-08T19:12:02.012738Z" + "iopub.execute_input": "2024-04-08T21:52:27.396340Z", + "iopub.status.busy": "2024-04-08T21:52:27.395983Z", + "iopub.status.idle": "2024-04-08T21:52:28.459980Z", + "shell.execute_reply": "2024-04-08T21:52:28.459347Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:02.015823Z", - "iopub.status.busy": "2024-04-08T19:12:02.015525Z", - "iopub.status.idle": "2024-04-08T19:12:02.018326Z", - "shell.execute_reply": "2024-04-08T19:12:02.017864Z" + "iopub.execute_input": "2024-04-08T21:52:28.462853Z", + "iopub.status.busy": "2024-04-08T21:52:28.462320Z", + "iopub.status.idle": "2024-04-08T21:52:28.465069Z", + "shell.execute_reply": "2024-04-08T21:52:28.464644Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:02.020260Z", - "iopub.status.busy": "2024-04-08T19:12:02.020087Z", - "iopub.status.idle": "2024-04-08T19:12:02.032329Z", - "shell.execute_reply": "2024-04-08T19:12:02.031881Z" + "iopub.execute_input": "2024-04-08T21:52:28.467215Z", + "iopub.status.busy": "2024-04-08T21:52:28.467023Z", + "iopub.status.idle": "2024-04-08T21:52:28.478907Z", + "shell.execute_reply": "2024-04-08T21:52:28.478417Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:02.034317Z", - "iopub.status.busy": "2024-04-08T19:12:02.034142Z", - "iopub.status.idle": "2024-04-08T19:12:10.633860Z", - "shell.execute_reply": "2024-04-08T19:12:10.633305Z" + "iopub.execute_input": "2024-04-08T21:52:28.481053Z", + "iopub.status.busy": "2024-04-08T21:52:28.480659Z", + "iopub.status.idle": "2024-04-08T21:52:31.721969Z", + "shell.execute_reply": "2024-04-08T21:52:31.721378Z" }, "id": "dhTHOg8Pyv5G" }, @@ -692,13 +692,7 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\n", "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", @@ -3102,7 +3096,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index 35b51f794..c75207e1f 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": "2024-04-08T19:12:12.681561Z", - "iopub.status.busy": "2024-04-08T19:12:12.681389Z", - "iopub.status.idle": "2024-04-08T19:12:13.734405Z", - "shell.execute_reply": "2024-04-08T19:12:13.733868Z" + "iopub.execute_input": "2024-04-08T21:52:33.885421Z", + "iopub.status.busy": "2024-04-08T21:52:33.884937Z", + "iopub.status.idle": "2024-04-08T21:52:34.964557Z", + "shell.execute_reply": "2024-04-08T21:52:34.963918Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:13.737231Z", - "iopub.status.busy": "2024-04-08T19:12:13.736791Z", - "iopub.status.idle": "2024-04-08T19:12:13.740148Z", - "shell.execute_reply": "2024-04-08T19:12:13.739710Z" + "iopub.execute_input": "2024-04-08T21:52:34.967491Z", + "iopub.status.busy": "2024-04-08T21:52:34.967024Z", + "iopub.status.idle": "2024-04-08T21:52:34.970255Z", + "shell.execute_reply": "2024-04-08T21:52:34.969814Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:13.742187Z", - "iopub.status.busy": "2024-04-08T19:12:13.741855Z", - "iopub.status.idle": "2024-04-08T19:12:16.687217Z", - "shell.execute_reply": "2024-04-08T19:12:16.686507Z" + "iopub.execute_input": "2024-04-08T21:52:34.972270Z", + "iopub.status.busy": "2024-04-08T21:52:34.971963Z", + "iopub.status.idle": "2024-04-08T21:52:37.922130Z", + "shell.execute_reply": "2024-04-08T21:52:37.921514Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.690229Z", - "iopub.status.busy": "2024-04-08T19:12:16.689558Z", - "iopub.status.idle": "2024-04-08T19:12:16.723065Z", - "shell.execute_reply": "2024-04-08T19:12:16.722493Z" + "iopub.execute_input": "2024-04-08T21:52:37.925130Z", + "iopub.status.busy": "2024-04-08T21:52:37.924469Z", + "iopub.status.idle": "2024-04-08T21:52:37.957928Z", + "shell.execute_reply": "2024-04-08T21:52:37.957355Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.725574Z", - "iopub.status.busy": "2024-04-08T19:12:16.725213Z", - "iopub.status.idle": "2024-04-08T19:12:16.748633Z", - "shell.execute_reply": "2024-04-08T19:12:16.748076Z" + "iopub.execute_input": "2024-04-08T21:52:37.960493Z", + "iopub.status.busy": "2024-04-08T21:52:37.960191Z", + "iopub.status.idle": "2024-04-08T21:52:37.990903Z", + "shell.execute_reply": "2024-04-08T21:52:37.990272Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.751185Z", - "iopub.status.busy": "2024-04-08T19:12:16.750822Z", - "iopub.status.idle": "2024-04-08T19:12:16.753746Z", - "shell.execute_reply": "2024-04-08T19:12:16.753306Z" + "iopub.execute_input": "2024-04-08T21:52:37.993720Z", + "iopub.status.busy": "2024-04-08T21:52:37.993247Z", + "iopub.status.idle": "2024-04-08T21:52:37.996395Z", + "shell.execute_reply": "2024-04-08T21:52:37.995970Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.755833Z", - "iopub.status.busy": "2024-04-08T19:12:16.755526Z", - "iopub.status.idle": "2024-04-08T19:12:16.758525Z", - "shell.execute_reply": "2024-04-08T19:12:16.758102Z" + "iopub.execute_input": "2024-04-08T21:52:37.998486Z", + "iopub.status.busy": "2024-04-08T21:52:37.998101Z", + "iopub.status.idle": "2024-04-08T21:52:38.000692Z", + "shell.execute_reply": "2024-04-08T21:52:38.000253Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.760530Z", - "iopub.status.busy": "2024-04-08T19:12:16.760254Z", - "iopub.status.idle": "2024-04-08T19:12:16.783193Z", - "shell.execute_reply": "2024-04-08T19:12:16.782688Z" + "iopub.execute_input": "2024-04-08T21:52:38.002914Z", + "iopub.status.busy": "2024-04-08T21:52:38.002511Z", + "iopub.status.idle": "2024-04-08T21:52:38.026371Z", + "shell.execute_reply": "2024-04-08T21:52:38.025790Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6a6240bb0ab443d38a48eadee74f3ae2", + "model_id": "ee395a85c9664de6802a8e4fa965580e", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9a5120ba56d4977aa0d368fb7c66d40", + "model_id": "013780a0968343228a8306681189312c", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.789722Z", - "iopub.status.busy": "2024-04-08T19:12:16.789232Z", - "iopub.status.idle": "2024-04-08T19:12:16.795676Z", - "shell.execute_reply": "2024-04-08T19:12:16.795154Z" + "iopub.execute_input": "2024-04-08T21:52:38.032988Z", + "iopub.status.busy": "2024-04-08T21:52:38.032462Z", + "iopub.status.idle": "2024-04-08T21:52:38.039296Z", + "shell.execute_reply": "2024-04-08T21:52:38.038830Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.797734Z", - "iopub.status.busy": "2024-04-08T19:12:16.797436Z", - "iopub.status.idle": "2024-04-08T19:12:16.800819Z", - "shell.execute_reply": "2024-04-08T19:12:16.800306Z" + "iopub.execute_input": "2024-04-08T21:52:38.041278Z", + "iopub.status.busy": "2024-04-08T21:52:38.040959Z", + "iopub.status.idle": "2024-04-08T21:52:38.044453Z", + "shell.execute_reply": "2024-04-08T21:52:38.043888Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.802799Z", - "iopub.status.busy": "2024-04-08T19:12:16.802383Z", - "iopub.status.idle": "2024-04-08T19:12:16.808583Z", - "shell.execute_reply": "2024-04-08T19:12:16.808080Z" + "iopub.execute_input": "2024-04-08T21:52:38.046421Z", + "iopub.status.busy": "2024-04-08T21:52:38.046112Z", + "iopub.status.idle": "2024-04-08T21:52:38.052307Z", + "shell.execute_reply": "2024-04-08T21:52:38.051875Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.810430Z", - "iopub.status.busy": "2024-04-08T19:12:16.810131Z", - "iopub.status.idle": "2024-04-08T19:12:16.843764Z", - "shell.execute_reply": "2024-04-08T19:12:16.843069Z" + "iopub.execute_input": "2024-04-08T21:52:38.054288Z", + "iopub.status.busy": "2024-04-08T21:52:38.053976Z", + "iopub.status.idle": "2024-04-08T21:52:38.087895Z", + "shell.execute_reply": "2024-04-08T21:52:38.087287Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.846251Z", - "iopub.status.busy": "2024-04-08T19:12:16.846029Z", - "iopub.status.idle": "2024-04-08T19:12:16.876055Z", - "shell.execute_reply": "2024-04-08T19:12:16.875395Z" + "iopub.execute_input": "2024-04-08T21:52:38.090513Z", + "iopub.status.busy": "2024-04-08T21:52:38.090158Z", + "iopub.status.idle": "2024-04-08T21:52:38.122158Z", + "shell.execute_reply": "2024-04-08T21:52:38.121588Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.878797Z", - "iopub.status.busy": "2024-04-08T19:12:16.878362Z", - "iopub.status.idle": "2024-04-08T19:12:16.997690Z", - "shell.execute_reply": "2024-04-08T19:12:16.997074Z" + "iopub.execute_input": "2024-04-08T21:52:38.124811Z", + "iopub.status.busy": "2024-04-08T21:52:38.124443Z", + "iopub.status.idle": "2024-04-08T21:52:38.245296Z", + "shell.execute_reply": "2024-04-08T21:52:38.244673Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:17.000317Z", - "iopub.status.busy": "2024-04-08T19:12:16.999797Z", - "iopub.status.idle": "2024-04-08T19:12:20.051499Z", - "shell.execute_reply": "2024-04-08T19:12:20.050857Z" + "iopub.execute_input": "2024-04-08T21:52:38.247939Z", + "iopub.status.busy": "2024-04-08T21:52:38.247357Z", + "iopub.status.idle": "2024-04-08T21:52:41.278115Z", + "shell.execute_reply": "2024-04-08T21:52:41.277445Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.054045Z", - "iopub.status.busy": "2024-04-08T19:12:20.053678Z", - "iopub.status.idle": "2024-04-08T19:12:20.108066Z", - "shell.execute_reply": "2024-04-08T19:12:20.107454Z" + "iopub.execute_input": "2024-04-08T21:52:41.280387Z", + "iopub.status.busy": "2024-04-08T21:52:41.280185Z", + "iopub.status.idle": "2024-04-08T21:52:41.343805Z", + "shell.execute_reply": "2024-04-08T21:52:41.343221Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.110315Z", - "iopub.status.busy": "2024-04-08T19:12:20.109981Z", - "iopub.status.idle": "2024-04-08T19:12:20.147390Z", - "shell.execute_reply": "2024-04-08T19:12:20.146954Z" + "iopub.execute_input": "2024-04-08T21:52:41.346061Z", + "iopub.status.busy": "2024-04-08T21:52:41.345637Z", + "iopub.status.idle": "2024-04-08T21:52:41.383009Z", + "shell.execute_reply": "2024-04-08T21:52:41.382423Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "9da437a7", + "id": "f6b4c4bb", "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": "fce848ae", + "id": "60b5c209", "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": "0fe990fa", + "id": "e0a5e099", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.149376Z", - "iopub.status.busy": "2024-04-08T19:12:20.149051Z", - "iopub.status.idle": "2024-04-08T19:12:20.266660Z", - "shell.execute_reply": "2024-04-08T19:12:20.266055Z" + "iopub.execute_input": "2024-04-08T21:52:41.385132Z", + "iopub.status.busy": "2024-04-08T21:52:41.384792Z", + "iopub.status.idle": "2024-04-08T21:52:41.491991Z", + "shell.execute_reply": "2024-04-08T21:52:41.491386Z" } }, "outputs": [ @@ -1354,13 +1354,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Finding underperforming_group issues ...\n", "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1393,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "e1f798da", + "id": "6a768b00", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1402,13 +1396,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "35842b9a", + "id": "cac3765b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.269272Z", - "iopub.status.busy": "2024-04-08T19:12:20.269030Z", - "iopub.status.idle": "2024-04-08T19:12:20.330497Z", - "shell.execute_reply": "2024-04-08T19:12:20.329977Z" + "iopub.execute_input": "2024-04-08T21:52:41.494449Z", + "iopub.status.busy": "2024-04-08T21:52:41.494203Z", + "iopub.status.idle": "2024-04-08T21:52:41.559401Z", + "shell.execute_reply": "2024-04-08T21:52:41.558627Z" } }, "outputs": [ @@ -1444,7 +1438,7 @@ }, { "cell_type": "markdown", - "id": "798d7822", + "id": "585df12a", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1455,13 +1449,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "fdfd0a78", + "id": "cbb1aa10", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.332905Z", - "iopub.status.busy": "2024-04-08T19:12:20.332706Z", - "iopub.status.idle": "2024-04-08T19:12:20.340139Z", - "shell.execute_reply": "2024-04-08T19:12:20.339592Z" + "iopub.execute_input": "2024-04-08T21:52:41.562045Z", + "iopub.status.busy": "2024-04-08T21:52:41.561642Z", + "iopub.status.idle": "2024-04-08T21:52:41.569488Z", + "shell.execute_reply": "2024-04-08T21:52:41.568981Z" } }, "outputs": [], @@ -1563,7 +1557,7 @@ }, { "cell_type": "markdown", - "id": "623406db", + "id": "6c6b923e", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1578,13 +1572,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "78a115a5", + "id": "bc9dafe6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.342036Z", - "iopub.status.busy": "2024-04-08T19:12:20.341739Z", - "iopub.status.idle": "2024-04-08T19:12:20.360239Z", - "shell.execute_reply": "2024-04-08T19:12:20.359697Z" + "iopub.execute_input": "2024-04-08T21:52:41.571656Z", + "iopub.status.busy": "2024-04-08T21:52:41.571348Z", + "iopub.status.idle": "2024-04-08T21:52:41.590454Z", + "shell.execute_reply": "2024-04-08T21:52:41.589898Z" } }, "outputs": [ @@ -1601,7 +1595,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7838/1995098996.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_7797/1995098996.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" ] } @@ -1635,13 +1629,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "40dae4e0", + "id": "52a94d9d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.362253Z", - "iopub.status.busy": "2024-04-08T19:12:20.361948Z", - "iopub.status.idle": "2024-04-08T19:12:20.365026Z", - "shell.execute_reply": "2024-04-08T19:12:20.364516Z" + "iopub.execute_input": "2024-04-08T21:52:41.592635Z", + "iopub.status.busy": "2024-04-08T21:52:41.592232Z", + "iopub.status.idle": "2024-04-08T21:52:41.595664Z", + "shell.execute_reply": "2024-04-08T21:52:41.595126Z" } }, "outputs": [ @@ -1731,12 +1725,150 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - 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"iopub.execute_input": "2024-04-08T19:12:23.385502Z", - "iopub.status.busy": "2024-04-08T19:12:23.385324Z", - "iopub.status.idle": "2024-04-08T19:12:24.500994Z", - "shell.execute_reply": "2024-04-08T19:12:24.500451Z" + "iopub.execute_input": "2024-04-08T21:52:44.848767Z", + "iopub.status.busy": "2024-04-08T21:52:44.848593Z", + "iopub.status.idle": "2024-04-08T21:52:45.969908Z", + "shell.execute_reply": "2024-04-08T21:52:45.969360Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:24.503635Z", - "iopub.status.busy": "2024-04-08T19:12:24.503134Z", - "iopub.status.idle": "2024-04-08T19:12:24.674963Z", - "shell.execute_reply": "2024-04-08T19:12:24.674378Z" + "iopub.execute_input": "2024-04-08T21:52:45.972341Z", + "iopub.status.busy": "2024-04-08T21:52:45.972078Z", + "iopub.status.idle": "2024-04-08T21:52:46.149683Z", + "shell.execute_reply": "2024-04-08T21:52:46.149066Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.677405Z", - "iopub.status.busy": "2024-04-08T19:12:24.677010Z", - "iopub.status.idle": "2024-04-08T19:12:24.688933Z", - "shell.execute_reply": "2024-04-08T19:12:24.688406Z" + "iopub.execute_input": "2024-04-08T21:52:46.152170Z", + "iopub.status.busy": "2024-04-08T21:52:46.151975Z", + "iopub.status.idle": "2024-04-08T21:52:46.164411Z", + "shell.execute_reply": "2024-04-08T21:52:46.163825Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.690846Z", - "iopub.status.busy": "2024-04-08T19:12:24.690671Z", - "iopub.status.idle": "2024-04-08T19:12:24.894029Z", - "shell.execute_reply": "2024-04-08T19:12:24.893464Z" + "iopub.execute_input": "2024-04-08T21:52:46.166662Z", + "iopub.status.busy": "2024-04-08T21:52:46.166327Z", + "iopub.status.idle": "2024-04-08T21:52:46.399840Z", + "shell.execute_reply": "2024-04-08T21:52:46.399256Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.896362Z", - "iopub.status.busy": "2024-04-08T19:12:24.896017Z", - "iopub.status.idle": "2024-04-08T19:12:24.922340Z", - "shell.execute_reply": "2024-04-08T19:12:24.921893Z" + "iopub.execute_input": "2024-04-08T21:52:46.402275Z", + "iopub.status.busy": "2024-04-08T21:52:46.401922Z", + "iopub.status.idle": "2024-04-08T21:52:46.427915Z", + "shell.execute_reply": "2024-04-08T21:52:46.427497Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.924554Z", - "iopub.status.busy": "2024-04-08T19:12:24.924219Z", - "iopub.status.idle": "2024-04-08T19:12:26.591119Z", - "shell.execute_reply": "2024-04-08T19:12:26.590421Z" + "iopub.execute_input": "2024-04-08T21:52:46.429793Z", + "iopub.status.busy": "2024-04-08T21:52:46.429619Z", + "iopub.status.idle": "2024-04-08T21:52:48.062475Z", + "shell.execute_reply": "2024-04-08T21:52:48.061777Z" } }, "outputs": [ @@ -461,7 +461,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:26.593843Z", - "iopub.status.busy": "2024-04-08T19:12:26.593202Z", - "iopub.status.idle": "2024-04-08T19:12:26.611348Z", - "shell.execute_reply": "2024-04-08T19:12:26.610866Z" + "iopub.execute_input": "2024-04-08T21:52:48.065164Z", + "iopub.status.busy": "2024-04-08T21:52:48.064507Z", + "iopub.status.idle": "2024-04-08T21:52:48.083024Z", + "shell.execute_reply": "2024-04-08T21:52:48.082575Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:26.613273Z", - "iopub.status.busy": "2024-04-08T19:12:26.613008Z", - "iopub.status.idle": "2024-04-08T19:12:27.994069Z", - "shell.execute_reply": "2024-04-08T19:12:27.993485Z" + "iopub.execute_input": "2024-04-08T21:52:48.085104Z", + "iopub.status.busy": "2024-04-08T21:52:48.084770Z", + "iopub.status.idle": "2024-04-08T21:52:49.485791Z", + "shell.execute_reply": "2024-04-08T21:52:49.485144Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:27.996963Z", - "iopub.status.busy": "2024-04-08T19:12:27.996205Z", - "iopub.status.idle": "2024-04-08T19:12:28.010313Z", - "shell.execute_reply": "2024-04-08T19:12:28.009892Z" + "iopub.execute_input": "2024-04-08T21:52:49.488462Z", + "iopub.status.busy": "2024-04-08T21:52:49.487838Z", + "iopub.status.idle": "2024-04-08T21:52:49.501790Z", + "shell.execute_reply": "2024-04-08T21:52:49.501293Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.012483Z", - "iopub.status.busy": "2024-04-08T19:12:28.012148Z", - "iopub.status.idle": "2024-04-08T19:12:28.092332Z", - "shell.execute_reply": "2024-04-08T19:12:28.091737Z" + "iopub.execute_input": "2024-04-08T21:52:49.503902Z", + "iopub.status.busy": "2024-04-08T21:52:49.503714Z", + "iopub.status.idle": "2024-04-08T21:52:49.582147Z", + "shell.execute_reply": "2024-04-08T21:52:49.581522Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.094848Z", - "iopub.status.busy": "2024-04-08T19:12:28.094388Z", - "iopub.status.idle": "2024-04-08T19:12:28.305015Z", - "shell.execute_reply": "2024-04-08T19:12:28.304459Z" + "iopub.execute_input": "2024-04-08T21:52:49.584402Z", + "iopub.status.busy": "2024-04-08T21:52:49.584169Z", + "iopub.status.idle": "2024-04-08T21:52:49.796625Z", + "shell.execute_reply": "2024-04-08T21:52:49.796059Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.307155Z", - "iopub.status.busy": "2024-04-08T19:12:28.306977Z", - "iopub.status.idle": "2024-04-08T19:12:28.324108Z", - "shell.execute_reply": "2024-04-08T19:12:28.323676Z" + "iopub.execute_input": "2024-04-08T21:52:49.798856Z", + "iopub.status.busy": "2024-04-08T21:52:49.798482Z", + "iopub.status.idle": "2024-04-08T21:52:49.815505Z", + "shell.execute_reply": "2024-04-08T21:52:49.814993Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.326002Z", - "iopub.status.busy": "2024-04-08T19:12:28.325829Z", - "iopub.status.idle": "2024-04-08T19:12:28.335620Z", - "shell.execute_reply": "2024-04-08T19:12:28.335205Z" + "iopub.execute_input": "2024-04-08T21:52:49.817600Z", + "iopub.status.busy": "2024-04-08T21:52:49.817312Z", + "iopub.status.idle": "2024-04-08T21:52:49.827140Z", + "shell.execute_reply": "2024-04-08T21:52:49.826558Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.337624Z", - "iopub.status.busy": "2024-04-08T19:12:28.337213Z", - "iopub.status.idle": "2024-04-08T19:12:28.422599Z", - "shell.execute_reply": "2024-04-08T19:12:28.421980Z" + "iopub.execute_input": "2024-04-08T21:52:49.829179Z", + "iopub.status.busy": "2024-04-08T21:52:49.828992Z", + "iopub.status.idle": "2024-04-08T21:52:49.923999Z", + "shell.execute_reply": "2024-04-08T21:52:49.923356Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.424970Z", - "iopub.status.busy": "2024-04-08T19:12:28.424722Z", - "iopub.status.idle": "2024-04-08T19:12:28.549007Z", - "shell.execute_reply": "2024-04-08T19:12:28.548406Z" + "iopub.execute_input": "2024-04-08T21:52:49.926359Z", + "iopub.status.busy": "2024-04-08T21:52:49.926119Z", + "iopub.status.idle": "2024-04-08T21:52:50.061779Z", + "shell.execute_reply": "2024-04-08T21:52:50.061151Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.551383Z", - "iopub.status.busy": "2024-04-08T19:12:28.551092Z", - "iopub.status.idle": "2024-04-08T19:12:28.554976Z", - "shell.execute_reply": "2024-04-08T19:12:28.554255Z" + "iopub.execute_input": "2024-04-08T21:52:50.064271Z", + "iopub.status.busy": "2024-04-08T21:52:50.063910Z", + "iopub.status.idle": "2024-04-08T21:52:50.068036Z", + "shell.execute_reply": "2024-04-08T21:52:50.067504Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.557035Z", - "iopub.status.busy": "2024-04-08T19:12:28.556717Z", - "iopub.status.idle": "2024-04-08T19:12:28.560298Z", - "shell.execute_reply": "2024-04-08T19:12:28.559774Z" + "iopub.execute_input": "2024-04-08T21:52:50.069987Z", + "iopub.status.busy": "2024-04-08T21:52:50.069810Z", + "iopub.status.idle": "2024-04-08T21:52:50.073803Z", + "shell.execute_reply": "2024-04-08T21:52:50.073310Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.562193Z", - "iopub.status.busy": "2024-04-08T19:12:28.561944Z", - "iopub.status.idle": "2024-04-08T19:12:28.599077Z", - "shell.execute_reply": "2024-04-08T19:12:28.598539Z" + "iopub.execute_input": "2024-04-08T21:52:50.075869Z", + "iopub.status.busy": "2024-04-08T21:52:50.075536Z", + "iopub.status.idle": "2024-04-08T21:52:50.114629Z", + "shell.execute_reply": "2024-04-08T21:52:50.113979Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.601134Z", - "iopub.status.busy": "2024-04-08T19:12:28.600813Z", - "iopub.status.idle": "2024-04-08T19:12:28.642167Z", - "shell.execute_reply": "2024-04-08T19:12:28.641727Z" + "iopub.execute_input": "2024-04-08T21:52:50.116745Z", + "iopub.status.busy": "2024-04-08T21:52:50.116541Z", + "iopub.status.idle": "2024-04-08T21:52:50.161029Z", + "shell.execute_reply": "2024-04-08T21:52:50.160389Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.644151Z", - "iopub.status.busy": "2024-04-08T19:12:28.643835Z", - "iopub.status.idle": "2024-04-08T19:12:28.738961Z", - "shell.execute_reply": "2024-04-08T19:12:28.738341Z" + "iopub.execute_input": "2024-04-08T21:52:50.163139Z", + "iopub.status.busy": "2024-04-08T21:52:50.162940Z", + "iopub.status.idle": "2024-04-08T21:52:50.260654Z", + "shell.execute_reply": "2024-04-08T21:52:50.259955Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.741750Z", - "iopub.status.busy": "2024-04-08T19:12:28.741263Z", - "iopub.status.idle": "2024-04-08T19:12:28.827551Z", - "shell.execute_reply": "2024-04-08T19:12:28.826947Z" + "iopub.execute_input": "2024-04-08T21:52:50.263693Z", + "iopub.status.busy": "2024-04-08T21:52:50.263189Z", + "iopub.status.idle": "2024-04-08T21:52:50.362343Z", + "shell.execute_reply": "2024-04-08T21:52:50.361726Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.829915Z", - "iopub.status.busy": "2024-04-08T19:12:28.829683Z", - "iopub.status.idle": "2024-04-08T19:12:29.038522Z", - "shell.execute_reply": "2024-04-08T19:12:29.037949Z" + "iopub.execute_input": "2024-04-08T21:52:50.364808Z", + "iopub.status.busy": "2024-04-08T21:52:50.364550Z", + "iopub.status.idle": "2024-04-08T21:52:50.577950Z", + "shell.execute_reply": "2024-04-08T21:52:50.577377Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.040910Z", - "iopub.status.busy": "2024-04-08T19:12:29.040732Z", - "iopub.status.idle": "2024-04-08T19:12:29.214576Z", - "shell.execute_reply": "2024-04-08T19:12:29.213963Z" + "iopub.execute_input": "2024-04-08T21:52:50.580188Z", + "iopub.status.busy": "2024-04-08T21:52:50.579982Z", + "iopub.status.idle": "2024-04-08T21:52:50.787401Z", + "shell.execute_reply": "2024-04-08T21:52:50.786718Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.217044Z", - "iopub.status.busy": "2024-04-08T19:12:29.216667Z", - "iopub.status.idle": "2024-04-08T19:12:29.222938Z", - "shell.execute_reply": "2024-04-08T19:12:29.222502Z" + "iopub.execute_input": "2024-04-08T21:52:50.790100Z", + "iopub.status.busy": "2024-04-08T21:52:50.789517Z", + "iopub.status.idle": "2024-04-08T21:52:50.795815Z", + "shell.execute_reply": "2024-04-08T21:52:50.795334Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.224909Z", - "iopub.status.busy": "2024-04-08T19:12:29.224587Z", - "iopub.status.idle": "2024-04-08T19:12:29.437683Z", - "shell.execute_reply": "2024-04-08T19:12:29.437115Z" + "iopub.execute_input": "2024-04-08T21:52:50.797868Z", + "iopub.status.busy": "2024-04-08T21:52:50.797547Z", + "iopub.status.idle": "2024-04-08T21:52:51.023483Z", + "shell.execute_reply": "2024-04-08T21:52:51.022891Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.439974Z", - "iopub.status.busy": "2024-04-08T19:12:29.439567Z", - "iopub.status.idle": "2024-04-08T19:12:30.486127Z", - "shell.execute_reply": "2024-04-08T19:12:30.485508Z" + "iopub.execute_input": "2024-04-08T21:52:51.025986Z", + "iopub.status.busy": "2024-04-08T21:52:51.025556Z", + "iopub.status.idle": "2024-04-08T21:52:52.089183Z", + "shell.execute_reply": "2024-04-08T21:52:52.088531Z" }, "id": "wL3ngCnuLEWd" }, @@ -2408,7 +2408,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index a709c4ddc..7418b0f5b 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": "2024-04-08T19:12:33.752421Z", - "iopub.status.busy": "2024-04-08T19:12:33.752248Z", - "iopub.status.idle": "2024-04-08T19:12:34.830539Z", - "shell.execute_reply": "2024-04-08T19:12:34.829972Z" + "iopub.execute_input": "2024-04-08T21:52:55.620820Z", + "iopub.status.busy": "2024-04-08T21:52:55.620652Z", + "iopub.status.idle": "2024-04-08T21:52:56.674841Z", + "shell.execute_reply": "2024-04-08T21:52:56.674213Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:34.833064Z", - "iopub.status.busy": "2024-04-08T19:12:34.832801Z", - "iopub.status.idle": "2024-04-08T19:12:34.835936Z", - "shell.execute_reply": "2024-04-08T19:12:34.835405Z" + "iopub.execute_input": "2024-04-08T21:52:56.677618Z", + "iopub.status.busy": "2024-04-08T21:52:56.677344Z", + "iopub.status.idle": "2024-04-08T21:52:56.680516Z", + "shell.execute_reply": "2024-04-08T21:52:56.679988Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.837888Z", - "iopub.status.busy": "2024-04-08T19:12:34.837708Z", - "iopub.status.idle": "2024-04-08T19:12:34.845722Z", - "shell.execute_reply": "2024-04-08T19:12:34.845317Z" + "iopub.execute_input": "2024-04-08T21:52:56.682543Z", + "iopub.status.busy": "2024-04-08T21:52:56.682233Z", + "iopub.status.idle": "2024-04-08T21:52:56.690305Z", + "shell.execute_reply": "2024-04-08T21:52:56.689844Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.847573Z", - "iopub.status.busy": "2024-04-08T19:12:34.847397Z", - "iopub.status.idle": "2024-04-08T19:12:34.894104Z", - "shell.execute_reply": "2024-04-08T19:12:34.893588Z" + "iopub.execute_input": "2024-04-08T21:52:56.692135Z", + "iopub.status.busy": "2024-04-08T21:52:56.691966Z", + "iopub.status.idle": "2024-04-08T21:52:56.736891Z", + "shell.execute_reply": "2024-04-08T21:52:56.736460Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.896019Z", - "iopub.status.busy": "2024-04-08T19:12:34.895834Z", - "iopub.status.idle": "2024-04-08T19:12:34.912597Z", - "shell.execute_reply": "2024-04-08T19:12:34.912094Z" + "iopub.execute_input": "2024-04-08T21:52:56.738845Z", + "iopub.status.busy": "2024-04-08T21:52:56.738655Z", + "iopub.status.idle": "2024-04-08T21:52:56.755451Z", + "shell.execute_reply": "2024-04-08T21:52:56.755009Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.914647Z", - "iopub.status.busy": "2024-04-08T19:12:34.914307Z", - "iopub.status.idle": "2024-04-08T19:12:34.917956Z", - "shell.execute_reply": "2024-04-08T19:12:34.917438Z" + "iopub.execute_input": "2024-04-08T21:52:56.757253Z", + "iopub.status.busy": "2024-04-08T21:52:56.757082Z", + "iopub.status.idle": "2024-04-08T21:52:56.760967Z", + "shell.execute_reply": "2024-04-08T21:52:56.760530Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.919974Z", - "iopub.status.busy": "2024-04-08T19:12:34.919671Z", - "iopub.status.idle": "2024-04-08T19:12:34.946169Z", - "shell.execute_reply": "2024-04-08T19:12:34.945655Z" + "iopub.execute_input": "2024-04-08T21:52:56.763008Z", + "iopub.status.busy": "2024-04-08T21:52:56.762678Z", + "iopub.status.idle": "2024-04-08T21:52:56.788272Z", + "shell.execute_reply": "2024-04-08T21:52:56.787865Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.948155Z", - "iopub.status.busy": "2024-04-08T19:12:34.947833Z", - "iopub.status.idle": "2024-04-08T19:12:34.973985Z", - "shell.execute_reply": "2024-04-08T19:12:34.973459Z" + "iopub.execute_input": "2024-04-08T21:52:56.790389Z", + "iopub.status.busy": "2024-04-08T21:52:56.789913Z", + "iopub.status.idle": "2024-04-08T21:52:56.816164Z", + "shell.execute_reply": "2024-04-08T21:52:56.815620Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.976074Z", - "iopub.status.busy": "2024-04-08T19:12:34.975781Z", - "iopub.status.idle": "2024-04-08T19:12:36.687655Z", - "shell.execute_reply": "2024-04-08T19:12:36.687110Z" + "iopub.execute_input": "2024-04-08T21:52:56.818430Z", + "iopub.status.busy": "2024-04-08T21:52:56.818016Z", + "iopub.status.idle": "2024-04-08T21:52:58.500444Z", + "shell.execute_reply": "2024-04-08T21:52:58.499807Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.690165Z", - "iopub.status.busy": "2024-04-08T19:12:36.689693Z", - "iopub.status.idle": "2024-04-08T19:12:36.696336Z", - "shell.execute_reply": "2024-04-08T19:12:36.695815Z" + "iopub.execute_input": "2024-04-08T21:52:58.503086Z", + "iopub.status.busy": "2024-04-08T21:52:58.502790Z", + "iopub.status.idle": "2024-04-08T21:52:58.509423Z", + "shell.execute_reply": "2024-04-08T21:52:58.508895Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.698324Z", - "iopub.status.busy": "2024-04-08T19:12:36.698034Z", - "iopub.status.idle": "2024-04-08T19:12:36.710339Z", - "shell.execute_reply": "2024-04-08T19:12:36.709902Z" + "iopub.execute_input": "2024-04-08T21:52:58.511480Z", + "iopub.status.busy": "2024-04-08T21:52:58.511156Z", + "iopub.status.idle": "2024-04-08T21:52:58.523295Z", + "shell.execute_reply": "2024-04-08T21:52:58.522884Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.712346Z", - "iopub.status.busy": "2024-04-08T19:12:36.711929Z", - "iopub.status.idle": "2024-04-08T19:12:36.718208Z", - "shell.execute_reply": "2024-04-08T19:12:36.717694Z" + "iopub.execute_input": "2024-04-08T21:52:58.525194Z", + "iopub.status.busy": "2024-04-08T21:52:58.524873Z", + "iopub.status.idle": "2024-04-08T21:52:58.530957Z", + "shell.execute_reply": "2024-04-08T21:52:58.530537Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.720257Z", - "iopub.status.busy": "2024-04-08T19:12:36.719972Z", - "iopub.status.idle": "2024-04-08T19:12:36.722551Z", - "shell.execute_reply": "2024-04-08T19:12:36.722114Z" + "iopub.execute_input": "2024-04-08T21:52:58.533065Z", + "iopub.status.busy": "2024-04-08T21:52:58.532751Z", + "iopub.status.idle": "2024-04-08T21:52:58.535247Z", + "shell.execute_reply": "2024-04-08T21:52:58.534834Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.724389Z", - "iopub.status.busy": "2024-04-08T19:12:36.724098Z", - "iopub.status.idle": "2024-04-08T19:12:36.727537Z", - "shell.execute_reply": "2024-04-08T19:12:36.727025Z" + "iopub.execute_input": "2024-04-08T21:52:58.537279Z", + "iopub.status.busy": "2024-04-08T21:52:58.536970Z", + "iopub.status.idle": "2024-04-08T21:52:58.540289Z", + "shell.execute_reply": "2024-04-08T21:52:58.539787Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.729415Z", - "iopub.status.busy": "2024-04-08T19:12:36.729242Z", - "iopub.status.idle": "2024-04-08T19:12:36.731642Z", - "shell.execute_reply": "2024-04-08T19:12:36.731237Z" + "iopub.execute_input": "2024-04-08T21:52:58.542327Z", + "iopub.status.busy": "2024-04-08T21:52:58.542019Z", + "iopub.status.idle": "2024-04-08T21:52:58.544475Z", + "shell.execute_reply": "2024-04-08T21:52:58.544065Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.733573Z", - "iopub.status.busy": "2024-04-08T19:12:36.733257Z", - "iopub.status.idle": "2024-04-08T19:12:36.737118Z", - "shell.execute_reply": "2024-04-08T19:12:36.736613Z" + "iopub.execute_input": "2024-04-08T21:52:58.546373Z", + "iopub.status.busy": "2024-04-08T21:52:58.546075Z", + "iopub.status.idle": "2024-04-08T21:52:58.550092Z", + "shell.execute_reply": "2024-04-08T21:52:58.549576Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.739150Z", - "iopub.status.busy": "2024-04-08T19:12:36.738829Z", - "iopub.status.idle": "2024-04-08T19:12:36.767384Z", - "shell.execute_reply": "2024-04-08T19:12:36.766867Z" + "iopub.execute_input": "2024-04-08T21:52:58.552013Z", + "iopub.status.busy": "2024-04-08T21:52:58.551809Z", + "iopub.status.idle": "2024-04-08T21:52:58.580045Z", + "shell.execute_reply": "2024-04-08T21:52:58.579619Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.769379Z", - "iopub.status.busy": "2024-04-08T19:12:36.769213Z", - "iopub.status.idle": "2024-04-08T19:12:36.773887Z", - "shell.execute_reply": "2024-04-08T19:12:36.773364Z" + "iopub.execute_input": "2024-04-08T21:52:58.582104Z", + "iopub.status.busy": "2024-04-08T21:52:58.581789Z", + "iopub.status.idle": "2024-04-08T21:52:58.586064Z", + "shell.execute_reply": "2024-04-08T21:52:58.585650Z" }, "nbsphinx": "hidden" }, @@ -1572,7 +1572,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "vscode": { "interpreter": { diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index 93017979b..ccd84011a 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": "2024-04-08T19:12:39.372434Z", - "iopub.status.busy": "2024-04-08T19:12:39.372031Z", - "iopub.status.idle": "2024-04-08T19:12:40.491618Z", - "shell.execute_reply": "2024-04-08T19:12:40.491005Z" + "iopub.execute_input": "2024-04-08T21:53:01.165262Z", + "iopub.status.busy": "2024-04-08T21:53:01.165085Z", + "iopub.status.idle": "2024-04-08T21:53:02.293269Z", + "shell.execute_reply": "2024-04-08T21:53:02.292725Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:40.494221Z", - "iopub.status.busy": "2024-04-08T19:12:40.493824Z", - "iopub.status.idle": "2024-04-08T19:12:40.685279Z", - "shell.execute_reply": "2024-04-08T19:12:40.684689Z" + "iopub.execute_input": "2024-04-08T21:53:02.295788Z", + "iopub.status.busy": "2024-04-08T21:53:02.295371Z", + "iopub.status.idle": "2024-04-08T21:53:02.487092Z", + "shell.execute_reply": "2024-04-08T21:53:02.486529Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:40.688253Z", - "iopub.status.busy": "2024-04-08T19:12:40.687653Z", - "iopub.status.idle": "2024-04-08T19:12:40.701124Z", - "shell.execute_reply": "2024-04-08T19:12:40.700676Z" + "iopub.execute_input": "2024-04-08T21:53:02.489584Z", + "iopub.status.busy": "2024-04-08T21:53:02.489313Z", + "iopub.status.idle": "2024-04-08T21:53:02.502093Z", + "shell.execute_reply": "2024-04-08T21:53:02.501639Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:40.703173Z", - "iopub.status.busy": "2024-04-08T19:12:40.702854Z", - "iopub.status.idle": "2024-04-08T19:12:43.329249Z", - "shell.execute_reply": "2024-04-08T19:12:43.328755Z" + "iopub.execute_input": "2024-04-08T21:53:02.504023Z", + "iopub.status.busy": "2024-04-08T21:53:02.503847Z", + "iopub.status.idle": "2024-04-08T21:53:05.143294Z", + "shell.execute_reply": "2024-04-08T21:53:05.142687Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:43.331514Z", - "iopub.status.busy": "2024-04-08T19:12:43.331169Z", - "iopub.status.idle": "2024-04-08T19:12:44.670891Z", - "shell.execute_reply": "2024-04-08T19:12:44.670276Z" + "iopub.execute_input": "2024-04-08T21:53:05.145673Z", + "iopub.status.busy": "2024-04-08T21:53:05.145204Z", + "iopub.status.idle": "2024-04-08T21:53:06.483996Z", + "shell.execute_reply": "2024-04-08T21:53:06.483366Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:44.673413Z", - "iopub.status.busy": "2024-04-08T19:12:44.673216Z", - "iopub.status.idle": "2024-04-08T19:12:44.677262Z", - "shell.execute_reply": "2024-04-08T19:12:44.676816Z" + "iopub.execute_input": "2024-04-08T21:53:06.486837Z", + "iopub.status.busy": "2024-04-08T21:53:06.486363Z", + "iopub.status.idle": "2024-04-08T21:53:06.490496Z", + "shell.execute_reply": "2024-04-08T21:53:06.490020Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:44.679281Z", - "iopub.status.busy": "2024-04-08T19:12:44.678982Z", - "iopub.status.idle": "2024-04-08T19:12:46.437869Z", - "shell.execute_reply": "2024-04-08T19:12:46.437260Z" + "iopub.execute_input": "2024-04-08T21:53:06.492516Z", + "iopub.status.busy": "2024-04-08T21:53:06.492190Z", + "iopub.status.idle": "2024-04-08T21:53:08.207836Z", + "shell.execute_reply": "2024-04-08T21:53:08.207189Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:46.440643Z", - "iopub.status.busy": "2024-04-08T19:12:46.440072Z", - "iopub.status.idle": "2024-04-08T19:12:46.448250Z", - "shell.execute_reply": "2024-04-08T19:12:46.447724Z" + "iopub.execute_input": "2024-04-08T21:53:08.210385Z", + "iopub.status.busy": "2024-04-08T21:53:08.209828Z", + "iopub.status.idle": "2024-04-08T21:53:08.218183Z", + "shell.execute_reply": "2024-04-08T21:53:08.217706Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:46.450615Z", - "iopub.status.busy": "2024-04-08T19:12:46.450220Z", - "iopub.status.idle": "2024-04-08T19:12:49.029942Z", - "shell.execute_reply": "2024-04-08T19:12:49.029325Z" + "iopub.execute_input": "2024-04-08T21:53:08.220241Z", + "iopub.status.busy": "2024-04-08T21:53:08.219969Z", + "iopub.status.idle": "2024-04-08T21:53:10.774214Z", + "shell.execute_reply": "2024-04-08T21:53:10.773690Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.032160Z", - "iopub.status.busy": "2024-04-08T19:12:49.031822Z", - "iopub.status.idle": "2024-04-08T19:12:49.035518Z", - "shell.execute_reply": "2024-04-08T19:12:49.035071Z" + "iopub.execute_input": "2024-04-08T21:53:10.776575Z", + "iopub.status.busy": "2024-04-08T21:53:10.776220Z", + "iopub.status.idle": "2024-04-08T21:53:10.779510Z", + "shell.execute_reply": "2024-04-08T21:53:10.779003Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.037498Z", - "iopub.status.busy": "2024-04-08T19:12:49.037171Z", - "iopub.status.idle": "2024-04-08T19:12:49.041048Z", - "shell.execute_reply": "2024-04-08T19:12:49.040619Z" + "iopub.execute_input": "2024-04-08T21:53:10.781685Z", + "iopub.status.busy": "2024-04-08T21:53:10.781358Z", + "iopub.status.idle": "2024-04-08T21:53:10.785218Z", + "shell.execute_reply": "2024-04-08T21:53:10.784784Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.042924Z", - "iopub.status.busy": "2024-04-08T19:12:49.042604Z", - "iopub.status.idle": "2024-04-08T19:12:49.045672Z", - "shell.execute_reply": "2024-04-08T19:12:49.045228Z" + "iopub.execute_input": "2024-04-08T21:53:10.787312Z", + "iopub.status.busy": "2024-04-08T21:53:10.787001Z", + "iopub.status.idle": "2024-04-08T21:53:10.789982Z", + "shell.execute_reply": "2024-04-08T21:53:10.789540Z" }, "nbsphinx": "hidden" }, @@ -787,7 +787,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index b290d6163..db57ea3b7 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": "2024-04-08T19:12:51.506697Z", - "iopub.status.busy": "2024-04-08T19:12:51.506534Z", - "iopub.status.idle": "2024-04-08T19:12:52.637000Z", - "shell.execute_reply": "2024-04-08T19:12:52.636397Z" + "iopub.execute_input": "2024-04-08T21:53:13.174563Z", + "iopub.status.busy": "2024-04-08T21:53:13.174086Z", + "iopub.status.idle": "2024-04-08T21:53:14.296401Z", + "shell.execute_reply": "2024-04-08T21:53:14.295802Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:52.639569Z", - "iopub.status.busy": "2024-04-08T19:12:52.639309Z", - "iopub.status.idle": "2024-04-08T19:12:55.104415Z", - "shell.execute_reply": "2024-04-08T19:12:55.103670Z" + "iopub.execute_input": "2024-04-08T21:53:14.299256Z", + "iopub.status.busy": "2024-04-08T21:53:14.298643Z", + "iopub.status.idle": "2024-04-08T21:53:15.386072Z", + "shell.execute_reply": "2024-04-08T21:53:15.385305Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.107140Z", - "iopub.status.busy": "2024-04-08T19:12:55.106931Z", - "iopub.status.idle": "2024-04-08T19:12:55.110341Z", - "shell.execute_reply": "2024-04-08T19:12:55.109801Z" + "iopub.execute_input": "2024-04-08T21:53:15.388879Z", + "iopub.status.busy": "2024-04-08T21:53:15.388508Z", + "iopub.status.idle": "2024-04-08T21:53:15.391840Z", + "shell.execute_reply": "2024-04-08T21:53:15.391355Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.112430Z", - "iopub.status.busy": "2024-04-08T19:12:55.112060Z", - "iopub.status.idle": "2024-04-08T19:12:55.118161Z", - "shell.execute_reply": "2024-04-08T19:12:55.117642Z" + "iopub.execute_input": "2024-04-08T21:53:15.393861Z", + "iopub.status.busy": "2024-04-08T21:53:15.393683Z", + "iopub.status.idle": "2024-04-08T21:53:15.399966Z", + "shell.execute_reply": "2024-04-08T21:53:15.399554Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.120250Z", - "iopub.status.busy": "2024-04-08T19:12:55.119951Z", - "iopub.status.idle": "2024-04-08T19:12:55.604414Z", - "shell.execute_reply": "2024-04-08T19:12:55.603862Z" + "iopub.execute_input": "2024-04-08T21:53:15.402147Z", + "iopub.status.busy": "2024-04-08T21:53:15.401739Z", + "iopub.status.idle": "2024-04-08T21:53:15.886695Z", + "shell.execute_reply": "2024-04-08T21:53:15.886105Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.607305Z", - "iopub.status.busy": "2024-04-08T19:12:55.606952Z", - "iopub.status.idle": "2024-04-08T19:12:55.612116Z", - "shell.execute_reply": "2024-04-08T19:12:55.611686Z" + "iopub.execute_input": "2024-04-08T21:53:15.889459Z", + "iopub.status.busy": "2024-04-08T21:53:15.889016Z", + "iopub.status.idle": "2024-04-08T21:53:15.894428Z", + "shell.execute_reply": "2024-04-08T21:53:15.893875Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.614134Z", - "iopub.status.busy": "2024-04-08T19:12:55.613824Z", - "iopub.status.idle": "2024-04-08T19:12:55.617419Z", - "shell.execute_reply": "2024-04-08T19:12:55.617014Z" + "iopub.execute_input": "2024-04-08T21:53:15.896540Z", + "iopub.status.busy": "2024-04-08T21:53:15.896227Z", + "iopub.status.idle": "2024-04-08T21:53:15.899892Z", + "shell.execute_reply": "2024-04-08T21:53:15.899405Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.619403Z", - "iopub.status.busy": "2024-04-08T19:12:55.619145Z", - "iopub.status.idle": "2024-04-08T19:12:56.292272Z", - "shell.execute_reply": "2024-04-08T19:12:56.291640Z" + "iopub.execute_input": "2024-04-08T21:53:15.901915Z", + "iopub.status.busy": "2024-04-08T21:53:15.901600Z", + "iopub.status.idle": "2024-04-08T21:53:16.556397Z", + "shell.execute_reply": "2024-04-08T21:53:16.555811Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.294743Z", - "iopub.status.busy": "2024-04-08T19:12:56.294368Z", - "iopub.status.idle": "2024-04-08T19:12:56.451834Z", - "shell.execute_reply": "2024-04-08T19:12:56.451237Z" + "iopub.execute_input": "2024-04-08T21:53:16.558843Z", + "iopub.status.busy": "2024-04-08T21:53:16.558463Z", + "iopub.status.idle": "2024-04-08T21:53:16.718885Z", + "shell.execute_reply": "2024-04-08T21:53:16.718432Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.454163Z", - "iopub.status.busy": "2024-04-08T19:12:56.453784Z", - "iopub.status.idle": "2024-04-08T19:12:56.458257Z", - "shell.execute_reply": "2024-04-08T19:12:56.457717Z" + "iopub.execute_input": "2024-04-08T21:53:16.721035Z", + "iopub.status.busy": "2024-04-08T21:53:16.720690Z", + "iopub.status.idle": "2024-04-08T21:53:16.724952Z", + "shell.execute_reply": "2024-04-08T21:53:16.724509Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.460284Z", - "iopub.status.busy": "2024-04-08T19:12:56.459945Z", - "iopub.status.idle": "2024-04-08T19:12:56.918547Z", - "shell.execute_reply": "2024-04-08T19:12:56.917913Z" + "iopub.execute_input": "2024-04-08T21:53:16.727026Z", + "iopub.status.busy": "2024-04-08T21:53:16.726592Z", + "iopub.status.idle": "2024-04-08T21:53:17.171629Z", + "shell.execute_reply": "2024-04-08T21:53:17.170994Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.921651Z", - "iopub.status.busy": "2024-04-08T19:12:56.921292Z", - "iopub.status.idle": "2024-04-08T19:12:57.253473Z", - "shell.execute_reply": "2024-04-08T19:12:57.252856Z" + "iopub.execute_input": "2024-04-08T21:53:17.174738Z", + "iopub.status.busy": "2024-04-08T21:53:17.174372Z", + "iopub.status.idle": "2024-04-08T21:53:17.507767Z", + "shell.execute_reply": "2024-04-08T21:53:17.507230Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:57.255657Z", - "iopub.status.busy": "2024-04-08T19:12:57.255478Z", - "iopub.status.idle": "2024-04-08T19:12:57.619053Z", - "shell.execute_reply": "2024-04-08T19:12:57.618466Z" + "iopub.execute_input": "2024-04-08T21:53:17.510336Z", + "iopub.status.busy": "2024-04-08T21:53:17.510151Z", + "iopub.status.idle": "2024-04-08T21:53:17.841940Z", + "shell.execute_reply": "2024-04-08T21:53:17.841333Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:57.621976Z", - "iopub.status.busy": "2024-04-08T19:12:57.621623Z", - "iopub.status.idle": "2024-04-08T19:12:58.060261Z", - "shell.execute_reply": "2024-04-08T19:12:58.059741Z" + "iopub.execute_input": "2024-04-08T21:53:17.844745Z", + "iopub.status.busy": "2024-04-08T21:53:17.844322Z", + "iopub.status.idle": "2024-04-08T21:53:18.282711Z", + "shell.execute_reply": "2024-04-08T21:53:18.282153Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.064403Z", - "iopub.status.busy": "2024-04-08T19:12:58.064187Z", - "iopub.status.idle": "2024-04-08T19:12:58.481716Z", - "shell.execute_reply": "2024-04-08T19:12:58.481166Z" + "iopub.execute_input": "2024-04-08T21:53:18.287057Z", + "iopub.status.busy": "2024-04-08T21:53:18.286688Z", + "iopub.status.idle": "2024-04-08T21:53:18.731778Z", + "shell.execute_reply": "2024-04-08T21:53:18.731192Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.484504Z", - "iopub.status.busy": "2024-04-08T19:12:58.484329Z", - "iopub.status.idle": "2024-04-08T19:12:58.698454Z", - "shell.execute_reply": "2024-04-08T19:12:58.697889Z" + "iopub.execute_input": "2024-04-08T21:53:18.734897Z", + "iopub.status.busy": "2024-04-08T21:53:18.734545Z", + "iopub.status.idle": "2024-04-08T21:53:18.946711Z", + "shell.execute_reply": "2024-04-08T21:53:18.946128Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.700764Z", - "iopub.status.busy": "2024-04-08T19:12:58.700331Z", - "iopub.status.idle": "2024-04-08T19:12:58.897447Z", - "shell.execute_reply": "2024-04-08T19:12:58.896906Z" + "iopub.execute_input": "2024-04-08T21:53:18.948919Z", + "iopub.status.busy": "2024-04-08T21:53:18.948578Z", + "iopub.status.idle": "2024-04-08T21:53:19.148315Z", + "shell.execute_reply": "2024-04-08T21:53:19.147722Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.899675Z", - "iopub.status.busy": "2024-04-08T19:12:58.899273Z", - "iopub.status.idle": "2024-04-08T19:12:58.902127Z", - "shell.execute_reply": "2024-04-08T19:12:58.901613Z" + "iopub.execute_input": "2024-04-08T21:53:19.150522Z", + "iopub.status.busy": "2024-04-08T21:53:19.150172Z", + "iopub.status.idle": "2024-04-08T21:53:19.153015Z", + "shell.execute_reply": "2024-04-08T21:53:19.152594Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.904091Z", - "iopub.status.busy": "2024-04-08T19:12:58.903780Z", - "iopub.status.idle": "2024-04-08T19:12:59.779761Z", - "shell.execute_reply": "2024-04-08T19:12:59.779165Z" + "iopub.execute_input": "2024-04-08T21:53:19.155170Z", + "iopub.status.busy": "2024-04-08T21:53:19.154723Z", + "iopub.status.idle": "2024-04-08T21:53:20.021314Z", + "shell.execute_reply": "2024-04-08T21:53:20.020786Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:59.782264Z", - "iopub.status.busy": "2024-04-08T19:12:59.781937Z", - "iopub.status.idle": "2024-04-08T19:12:59.964112Z", - "shell.execute_reply": "2024-04-08T19:12:59.963525Z" + "iopub.execute_input": "2024-04-08T21:53:20.023932Z", + "iopub.status.busy": "2024-04-08T21:53:20.023749Z", + "iopub.status.idle": "2024-04-08T21:53:20.132017Z", + "shell.execute_reply": "2024-04-08T21:53:20.131591Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:59.966448Z", - "iopub.status.busy": "2024-04-08T19:12:59.965968Z", - "iopub.status.idle": "2024-04-08T19:13:00.154653Z", - "shell.execute_reply": "2024-04-08T19:13:00.154036Z" + "iopub.execute_input": "2024-04-08T21:53:20.134136Z", + "iopub.status.busy": "2024-04-08T21:53:20.133814Z", + "iopub.status.idle": "2024-04-08T21:53:20.256463Z", + "shell.execute_reply": "2024-04-08T21:53:20.255994Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:00.156712Z", - "iopub.status.busy": "2024-04-08T19:13:00.156532Z", - "iopub.status.idle": "2024-04-08T19:13:00.829599Z", - "shell.execute_reply": "2024-04-08T19:13:00.829059Z" + "iopub.execute_input": "2024-04-08T21:53:20.258386Z", + "iopub.status.busy": "2024-04-08T21:53:20.258207Z", + "iopub.status.idle": "2024-04-08T21:53:20.993801Z", + "shell.execute_reply": "2024-04-08T21:53:20.993270Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:00.832154Z", - "iopub.status.busy": "2024-04-08T19:13:00.831662Z", - "iopub.status.idle": "2024-04-08T19:13:00.835999Z", - "shell.execute_reply": "2024-04-08T19:13:00.835484Z" + "iopub.execute_input": "2024-04-08T21:53:20.995920Z", + "iopub.status.busy": "2024-04-08T21:53:20.995738Z", + "iopub.status.idle": "2024-04-08T21:53:20.999427Z", + "shell.execute_reply": "2024-04-08T21:53:20.998985Z" }, "nbsphinx": "hidden" }, @@ -1387,7 +1387,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index c8a250110..8ece31973 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": "2024-04-08T19:13:03.168340Z", - "iopub.status.busy": "2024-04-08T19:13:03.168171Z", - "iopub.status.idle": "2024-04-08T19:13:05.872246Z", - "shell.execute_reply": "2024-04-08T19:13:05.871721Z" + "iopub.execute_input": "2024-04-08T21:53:23.106537Z", + "iopub.status.busy": "2024-04-08T21:53:23.106008Z", + "iopub.status.idle": "2024-04-08T21:53:25.809147Z", + "shell.execute_reply": "2024-04-08T21:53:25.808588Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:13:05.874860Z", - "iopub.status.busy": "2024-04-08T19:13:05.874355Z", - "iopub.status.idle": "2024-04-08T19:13:06.204418Z", - "shell.execute_reply": "2024-04-08T19:13:06.203821Z" + "iopub.execute_input": "2024-04-08T21:53:25.811952Z", + "iopub.status.busy": "2024-04-08T21:53:25.811404Z", + "iopub.status.idle": "2024-04-08T21:53:26.130631Z", + "shell.execute_reply": "2024-04-08T21:53:26.130075Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:06.206962Z", - "iopub.status.busy": "2024-04-08T19:13:06.206657Z", - "iopub.status.idle": "2024-04-08T19:13:06.210651Z", - "shell.execute_reply": "2024-04-08T19:13:06.210217Z" + "iopub.execute_input": "2024-04-08T21:53:26.133270Z", + "iopub.status.busy": "2024-04-08T21:53:26.132699Z", + "iopub.status.idle": "2024-04-08T21:53:26.136882Z", + "shell.execute_reply": "2024-04-08T21:53:26.136338Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:06.212643Z", - "iopub.status.busy": "2024-04-08T19:13:06.212236Z", - "iopub.status.idle": "2024-04-08T19:13:14.211316Z", - "shell.execute_reply": "2024-04-08T19:13:14.210735Z" + "iopub.execute_input": "2024-04-08T21:53:26.139086Z", + "iopub.status.busy": "2024-04-08T21:53:26.138768Z", + "iopub.status.idle": "2024-04-08T21:53:30.505958Z", + "shell.execute_reply": "2024-04-08T21:53:30.505359Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 32768/170498071 [00:00<11:46, 241421.69it/s]" + " 1%| | 1769472/170498071 [00:00<00:09, 17453386.37it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 229376/170498071 [00:00<03:01, 939950.18it/s]" + " 7%|▋ | 12222464/170498071 [00:00<00:02, 68271540.42it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 884736/170498071 [00:00<01:03, 2688209.96it/s]" + " 13%|█▎ | 22052864/170498071 [00:00<00:01, 81895567.19it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-08T19:13:14.213408Z", - "iopub.status.busy": "2024-04-08T19:13:14.213222Z", - "iopub.status.idle": "2024-04-08T19:13:14.217828Z", - "shell.execute_reply": "2024-04-08T19:13:14.217410Z" + "iopub.execute_input": "2024-04-08T21:53:30.508269Z", + "iopub.status.busy": "2024-04-08T21:53:30.507916Z", + "iopub.status.idle": "2024-04-08T21:53:30.512599Z", + "shell.execute_reply": "2024-04-08T21:53:30.512173Z" }, "nbsphinx": "hidden" }, @@ -744,10 +560,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:14.219646Z", - "iopub.status.busy": "2024-04-08T19:13:14.219474Z", - "iopub.status.idle": "2024-04-08T19:13:14.735288Z", - "shell.execute_reply": "2024-04-08T19:13:14.734716Z" + "iopub.execute_input": "2024-04-08T21:53:30.514714Z", + "iopub.status.busy": "2024-04-08T21:53:30.514383Z", + "iopub.status.idle": "2024-04-08T21:53:31.051751Z", + "shell.execute_reply": "2024-04-08T21:53:31.051165Z" } }, "outputs": [ @@ -780,10 +596,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:14.737482Z", - "iopub.status.busy": "2024-04-08T19:13:14.737170Z", - "iopub.status.idle": "2024-04-08T19:13:15.227922Z", - "shell.execute_reply": "2024-04-08T19:13:15.227323Z" + "iopub.execute_input": "2024-04-08T21:53:31.054091Z", + "iopub.status.busy": "2024-04-08T21:53:31.053743Z", + "iopub.status.idle": "2024-04-08T21:53:31.558486Z", + "shell.execute_reply": "2024-04-08T21:53:31.557907Z" } }, "outputs": [ @@ -821,10 +637,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:15.229967Z", - "iopub.status.busy": "2024-04-08T19:13:15.229777Z", - "iopub.status.idle": "2024-04-08T19:13:15.233685Z", - "shell.execute_reply": "2024-04-08T19:13:15.233276Z" + "iopub.execute_input": "2024-04-08T21:53:31.560721Z", + "iopub.status.busy": "2024-04-08T21:53:31.560363Z", + "iopub.status.idle": "2024-04-08T21:53:31.563739Z", + "shell.execute_reply": "2024-04-08T21:53:31.563302Z" } }, "outputs": [], @@ -847,17 +663,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:15.235578Z", - "iopub.status.busy": "2024-04-08T19:13:15.235253Z", - "iopub.status.idle": "2024-04-08T19:13:27.791114Z", - "shell.execute_reply": "2024-04-08T19:13:27.790500Z" + "iopub.execute_input": "2024-04-08T21:53:31.565838Z", + "iopub.status.busy": "2024-04-08T21:53:31.565510Z", + "iopub.status.idle": "2024-04-08T21:53:44.051763Z", + "shell.execute_reply": "2024-04-08T21:53:44.051171Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2bb5503dd8b443508a98689b99426ed1", + "model_id": "74fee4353095495d9f226fe332cc1259", "version_major": 2, "version_minor": 0 }, @@ -916,10 +732,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:27.793604Z", - "iopub.status.busy": "2024-04-08T19:13:27.793211Z", - "iopub.status.idle": "2024-04-08T19:13:29.587802Z", - "shell.execute_reply": "2024-04-08T19:13:29.587253Z" + "iopub.execute_input": "2024-04-08T21:53:44.054111Z", + "iopub.status.busy": "2024-04-08T21:53:44.053732Z", + "iopub.status.idle": "2024-04-08T21:53:45.819836Z", + "shell.execute_reply": "2024-04-08T21:53:45.819254Z" } }, "outputs": [ @@ -963,10 +779,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:29.590598Z", - "iopub.status.busy": "2024-04-08T19:13:29.590127Z", - "iopub.status.idle": "2024-04-08T19:13:29.858111Z", - "shell.execute_reply": "2024-04-08T19:13:29.857584Z" + "iopub.execute_input": "2024-04-08T21:53:45.822604Z", + "iopub.status.busy": "2024-04-08T21:53:45.822223Z", + "iopub.status.idle": "2024-04-08T21:53:46.075652Z", + "shell.execute_reply": "2024-04-08T21:53:46.074584Z" } }, "outputs": [ @@ -1002,10 +818,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:29.861034Z", - "iopub.status.busy": "2024-04-08T19:13:29.860632Z", - "iopub.status.idle": "2024-04-08T19:13:30.577484Z", - "shell.execute_reply": "2024-04-08T19:13:30.576958Z" + "iopub.execute_input": "2024-04-08T21:53:46.078335Z", + "iopub.status.busy": "2024-04-08T21:53:46.078108Z", + "iopub.status.idle": "2024-04-08T21:53:46.743524Z", + "shell.execute_reply": "2024-04-08T21:53:46.742932Z" } }, "outputs": [ @@ -1055,10 +871,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:30.580265Z", - "iopub.status.busy": "2024-04-08T19:13:30.579691Z", - "iopub.status.idle": "2024-04-08T19:13:30.924605Z", - "shell.execute_reply": "2024-04-08T19:13:30.924026Z" + "iopub.execute_input": "2024-04-08T21:53:46.746550Z", + "iopub.status.busy": "2024-04-08T21:53:46.746222Z", + "iopub.status.idle": "2024-04-08T21:53:47.081719Z", + "shell.execute_reply": "2024-04-08T21:53:47.081148Z" } }, "outputs": [ @@ -1106,10 +922,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:30.926999Z", - "iopub.status.busy": "2024-04-08T19:13:30.926574Z", - "iopub.status.idle": "2024-04-08T19:13:31.175317Z", - "shell.execute_reply": "2024-04-08T19:13:31.174782Z" + "iopub.execute_input": "2024-04-08T21:53:47.084022Z", + "iopub.status.busy": "2024-04-08T21:53:47.083652Z", + "iopub.status.idle": "2024-04-08T21:53:47.326888Z", + "shell.execute_reply": "2024-04-08T21:53:47.326274Z" } }, "outputs": [ @@ -1165,10 +981,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:31.177937Z", - "iopub.status.busy": "2024-04-08T19:13:31.177576Z", - "iopub.status.idle": "2024-04-08T19:13:31.272978Z", - "shell.execute_reply": "2024-04-08T19:13:31.272473Z" + "iopub.execute_input": "2024-04-08T21:53:47.329510Z", + "iopub.status.busy": "2024-04-08T21:53:47.329278Z", + "iopub.status.idle": "2024-04-08T21:53:47.413482Z", + "shell.execute_reply": "2024-04-08T21:53:47.412987Z" } }, "outputs": [], @@ -1189,10 +1005,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:31.275519Z", - "iopub.status.busy": "2024-04-08T19:13:31.275167Z", - "iopub.status.idle": "2024-04-08T19:13:41.679014Z", - "shell.execute_reply": "2024-04-08T19:13:41.678397Z" + "iopub.execute_input": "2024-04-08T21:53:47.415922Z", + "iopub.status.busy": "2024-04-08T21:53:47.415575Z", + "iopub.status.idle": "2024-04-08T21:53:57.742151Z", + "shell.execute_reply": "2024-04-08T21:53:57.741544Z" } }, "outputs": [ @@ -1229,10 +1045,10 @@ "id": "874c885a", "metadata": { "execution": { - 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"layout": "IPY_MODEL_007c6ddc44eb433e853f88ed09044f49", - "placeholder": "​", - "style": "IPY_MODEL_8e6e75da45e94500ac3664d6571c19a5", - "tabbable": null, - "tooltip": null, - "value": " 102M/102M [00:00<00:00, 261MB/s]" - } - }, - "0c87bf09ff7545318077176d0bc67dc5": { + "613d8f0ad5b24a2cbbc7eba7165b1268": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1500,31 +1340,25 @@ "width": null } }, - "2bb5503dd8b443508a98689b99426ed1": { + "6a0cb4fc0ec8441daefaec8c242c5901": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "HTMLStyleModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_b99b680885934cdfa31bc3a843e20724", - "IPY_MODEL_f15ac1823a7f4e549da71d08245aa9b2", - "IPY_MODEL_0c6902059f6d43049f050a70f2c4d5ed" - ], - "layout": "IPY_MODEL_0c87bf09ff7545318077176d0bc67dc5", - "tabbable": null, - "tooltip": null + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } }, - "3897024bcca245b1bc58655ded2b9bc5": { + "701253a3878e4e80bf70ce2d5107bc4a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1577,25 +1411,31 @@ "width": null } }, - "8e6e75da45e94500ac3664d6571c19a5": { + "74fee4353095495d9f226fe332cc1259": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", + "model_name": "HBoxModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c49734db5060444fb92ed63c94ad0dcc", + "IPY_MODEL_23be7ed9ccbd408da27baf5bccd9a8bb", + "IPY_MODEL_1b929639cf644575b18de45cd7024f20" + ], + "layout": "IPY_MODEL_52a04235b3b64c8db21bd301de16b3b6", + "tabbable": null, + "tooltip": null } }, - "b99b680885934cdfa31bc3a843e20724": { + "c49734db5060444fb92ed63c94ad0dcc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1610,15 +1450,33 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_3897024bcca245b1bc58655ded2b9bc5", + "layout": "IPY_MODEL_d01a98a4674847ee9ceb535a10490498", "placeholder": "​", - "style": "IPY_MODEL_086fdb340ddc44499e840c6359ce1479", + "style": "IPY_MODEL_6a0cb4fc0ec8441daefaec8c242c5901", "tabbable": null, "tooltip": null, "value": "model.safetensors: 100%" } }, - "c8047222b06d47abb1cddbdcb8b6aaff": { + "cdb8e1ba4c3c4be787dbf71554bbd39a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "d01a98a4674847ee9ceb535a10490498": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1670,48 +1528,6 @@ "visibility": null, "width": null } - }, - "f15ac1823a7f4e549da71d08245aa9b2": { - "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_c8047222b06d47abb1cddbdcb8b6aaff", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_fb1f241a35b74a80a9334872055927bc", - "tabbable": null, - "tooltip": null, - "value": 102469840.0 - } - }, - "fb1f241a35b74a80a9334872055927bc": { - "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": "" - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index 673215d3c..04d8b1fb3 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": "2024-04-08T19:13:47.803397Z", - "iopub.status.busy": "2024-04-08T19:13:47.802938Z", - "iopub.status.idle": "2024-04-08T19:13:48.925278Z", - "shell.execute_reply": "2024-04-08T19:13:48.924752Z" + "iopub.execute_input": "2024-04-08T21:54:04.047172Z", + "iopub.status.busy": "2024-04-08T21:54:04.047009Z", + "iopub.status.idle": "2024-04-08T21:54:05.165055Z", + "shell.execute_reply": "2024-04-08T21:54:05.164503Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:13:48.927915Z", - "iopub.status.busy": "2024-04-08T19:13:48.927470Z", - "iopub.status.idle": "2024-04-08T19:13:48.945021Z", - "shell.execute_reply": "2024-04-08T19:13:48.944602Z" + "iopub.execute_input": "2024-04-08T21:54:05.167726Z", + "iopub.status.busy": "2024-04-08T21:54:05.167423Z", + "iopub.status.idle": "2024-04-08T21:54:05.184913Z", + "shell.execute_reply": "2024-04-08T21:54:05.184432Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:48.947242Z", - "iopub.status.busy": "2024-04-08T19:13:48.946736Z", - "iopub.status.idle": "2024-04-08T19:13:48.949732Z", - "shell.execute_reply": "2024-04-08T19:13:48.949294Z" + "iopub.execute_input": "2024-04-08T21:54:05.187353Z", + "iopub.status.busy": "2024-04-08T21:54:05.186846Z", + "iopub.status.idle": "2024-04-08T21:54:05.190514Z", + "shell.execute_reply": "2024-04-08T21:54:05.190045Z" }, "nbsphinx": "hidden" }, @@ -199,10 +199,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:48.951557Z", - "iopub.status.busy": "2024-04-08T19:13:48.951388Z", - "iopub.status.idle": "2024-04-08T19:13:49.150115Z", - "shell.execute_reply": "2024-04-08T19:13:49.149617Z" + "iopub.execute_input": "2024-04-08T21:54:05.192550Z", + "iopub.status.busy": "2024-04-08T21:54:05.192225Z", + "iopub.status.idle": "2024-04-08T21:54:05.229509Z", + "shell.execute_reply": "2024-04-08T21:54:05.229066Z" } }, "outputs": [ @@ -375,10 +375,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.152258Z", - "iopub.status.busy": "2024-04-08T19:13:49.151925Z", - "iopub.status.idle": "2024-04-08T19:13:49.328521Z", - "shell.execute_reply": "2024-04-08T19:13:49.328018Z" + "iopub.execute_input": "2024-04-08T21:54:05.231854Z", + "iopub.status.busy": "2024-04-08T21:54:05.231527Z", + "iopub.status.idle": "2024-04-08T21:54:05.406963Z", + "shell.execute_reply": "2024-04-08T21:54:05.406350Z" }, "nbsphinx": "hidden" }, @@ -418,10 +418,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.330913Z", - "iopub.status.busy": "2024-04-08T19:13:49.330551Z", - "iopub.status.idle": "2024-04-08T19:13:49.538644Z", - "shell.execute_reply": "2024-04-08T19:13:49.538041Z" + "iopub.execute_input": "2024-04-08T21:54:05.409559Z", + "iopub.status.busy": "2024-04-08T21:54:05.409225Z", + "iopub.status.idle": "2024-04-08T21:54:05.616720Z", + "shell.execute_reply": "2024-04-08T21:54:05.616184Z" } }, "outputs": [ @@ -457,10 +457,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.540725Z", - "iopub.status.busy": "2024-04-08T19:13:49.540437Z", - "iopub.status.idle": "2024-04-08T19:13:49.544691Z", - "shell.execute_reply": "2024-04-08T19:13:49.544278Z" + "iopub.execute_input": "2024-04-08T21:54:05.618983Z", + "iopub.status.busy": "2024-04-08T21:54:05.618661Z", + "iopub.status.idle": "2024-04-08T21:54:05.623080Z", + "shell.execute_reply": "2024-04-08T21:54:05.622607Z" } }, "outputs": [], @@ -478,10 +478,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.546581Z", - "iopub.status.busy": "2024-04-08T19:13:49.546300Z", - "iopub.status.idle": "2024-04-08T19:13:49.552461Z", - "shell.execute_reply": "2024-04-08T19:13:49.552021Z" + "iopub.execute_input": "2024-04-08T21:54:05.624968Z", + "iopub.status.busy": "2024-04-08T21:54:05.624702Z", + "iopub.status.idle": "2024-04-08T21:54:05.630945Z", + "shell.execute_reply": "2024-04-08T21:54:05.630505Z" } }, "outputs": [], @@ -528,10 +528,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.554456Z", - "iopub.status.busy": "2024-04-08T19:13:49.554124Z", - "iopub.status.idle": "2024-04-08T19:13:49.556701Z", - "shell.execute_reply": "2024-04-08T19:13:49.556278Z" + "iopub.execute_input": "2024-04-08T21:54:05.632897Z", + "iopub.status.busy": "2024-04-08T21:54:05.632641Z", + "iopub.status.idle": "2024-04-08T21:54:05.635133Z", + "shell.execute_reply": "2024-04-08T21:54:05.634700Z" } }, "outputs": [], @@ -546,10 +546,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.558519Z", - "iopub.status.busy": "2024-04-08T19:13:49.558220Z", - "iopub.status.idle": "2024-04-08T19:13:57.783852Z", - "shell.execute_reply": "2024-04-08T19:13:57.783248Z" + "iopub.execute_input": "2024-04-08T21:54:05.637020Z", + "iopub.status.busy": "2024-04-08T21:54:05.636771Z", + "iopub.status.idle": "2024-04-08T21:54:13.976160Z", + "shell.execute_reply": "2024-04-08T21:54:13.975518Z" } }, "outputs": [], @@ -573,10 +573,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.787203Z", - "iopub.status.busy": "2024-04-08T19:13:57.786649Z", - "iopub.status.idle": "2024-04-08T19:13:57.794488Z", - "shell.execute_reply": "2024-04-08T19:13:57.794042Z" + "iopub.execute_input": "2024-04-08T21:54:13.979606Z", + "iopub.status.busy": "2024-04-08T21:54:13.978675Z", + "iopub.status.idle": "2024-04-08T21:54:13.986074Z", + "shell.execute_reply": "2024-04-08T21:54:13.985520Z" } }, "outputs": [ @@ -679,10 +679,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.796488Z", - "iopub.status.busy": "2024-04-08T19:13:57.796215Z", - "iopub.status.idle": "2024-04-08T19:13:57.799641Z", - "shell.execute_reply": "2024-04-08T19:13:57.799235Z" + "iopub.execute_input": "2024-04-08T21:54:13.988007Z", + "iopub.status.busy": "2024-04-08T21:54:13.987835Z", + "iopub.status.idle": "2024-04-08T21:54:13.991555Z", + "shell.execute_reply": "2024-04-08T21:54:13.990998Z" } }, "outputs": [], @@ -697,10 +697,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.801520Z", - "iopub.status.busy": "2024-04-08T19:13:57.801263Z", - "iopub.status.idle": "2024-04-08T19:13:57.804571Z", - "shell.execute_reply": "2024-04-08T19:13:57.804133Z" + "iopub.execute_input": "2024-04-08T21:54:13.993650Z", + "iopub.status.busy": "2024-04-08T21:54:13.993339Z", + "iopub.status.idle": "2024-04-08T21:54:13.996783Z", + "shell.execute_reply": "2024-04-08T21:54:13.996326Z" } }, "outputs": [ @@ -735,10 +735,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.806527Z", - "iopub.status.busy": "2024-04-08T19:13:57.806223Z", - "iopub.status.idle": "2024-04-08T19:13:57.809258Z", - "shell.execute_reply": "2024-04-08T19:13:57.808725Z" + "iopub.execute_input": "2024-04-08T21:54:13.998653Z", + "iopub.status.busy": "2024-04-08T21:54:13.998482Z", + "iopub.status.idle": "2024-04-08T21:54:14.001527Z", + "shell.execute_reply": "2024-04-08T21:54:14.000998Z" } }, "outputs": [], @@ -757,10 +757,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.811263Z", - "iopub.status.busy": "2024-04-08T19:13:57.810959Z", - "iopub.status.idle": "2024-04-08T19:13:57.818786Z", - "shell.execute_reply": "2024-04-08T19:13:57.818238Z" + "iopub.execute_input": "2024-04-08T21:54:14.003459Z", + "iopub.status.busy": "2024-04-08T21:54:14.003158Z", + "iopub.status.idle": "2024-04-08T21:54:14.011211Z", + "shell.execute_reply": "2024-04-08T21:54:14.010679Z" } }, "outputs": [ @@ -884,10 +884,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.820889Z", - "iopub.status.busy": "2024-04-08T19:13:57.820509Z", - "iopub.status.idle": "2024-04-08T19:13:57.823238Z", - "shell.execute_reply": "2024-04-08T19:13:57.822711Z" + "iopub.execute_input": "2024-04-08T21:54:14.013463Z", + "iopub.status.busy": "2024-04-08T21:54:14.012963Z", + "iopub.status.idle": "2024-04-08T21:54:14.015569Z", + "shell.execute_reply": "2024-04-08T21:54:14.015153Z" }, "nbsphinx": "hidden" }, @@ -922,10 +922,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.825125Z", - "iopub.status.busy": "2024-04-08T19:13:57.824848Z", - "iopub.status.idle": "2024-04-08T19:13:57.944411Z", - "shell.execute_reply": "2024-04-08T19:13:57.943830Z" + "iopub.execute_input": "2024-04-08T21:54:14.017646Z", + "iopub.status.busy": "2024-04-08T21:54:14.017253Z", + "iopub.status.idle": "2024-04-08T21:54:14.138417Z", + "shell.execute_reply": "2024-04-08T21:54:14.137851Z" } }, "outputs": [ @@ -964,10 +964,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.946652Z", - "iopub.status.busy": "2024-04-08T19:13:57.946416Z", - "iopub.status.idle": "2024-04-08T19:13:58.050381Z", - "shell.execute_reply": "2024-04-08T19:13:58.049796Z" + "iopub.execute_input": "2024-04-08T21:54:14.140668Z", + "iopub.status.busy": "2024-04-08T21:54:14.140489Z", + "iopub.status.idle": "2024-04-08T21:54:14.247854Z", + "shell.execute_reply": "2024-04-08T21:54:14.247268Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.052902Z", - "iopub.status.busy": "2024-04-08T19:13:58.052525Z", - "iopub.status.idle": "2024-04-08T19:13:58.541282Z", - "shell.execute_reply": "2024-04-08T19:13:58.540644Z" + "iopub.execute_input": "2024-04-08T21:54:14.250059Z", + "iopub.status.busy": "2024-04-08T21:54:14.249882Z", + "iopub.status.idle": "2024-04-08T21:54:14.748368Z", + "shell.execute_reply": "2024-04-08T21:54:14.747830Z" } }, "outputs": [], @@ -1042,10 +1042,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.544024Z", - "iopub.status.busy": "2024-04-08T19:13:58.543626Z", - "iopub.status.idle": "2024-04-08T19:13:58.648994Z", - "shell.execute_reply": "2024-04-08T19:13:58.648352Z" + "iopub.execute_input": "2024-04-08T21:54:14.750868Z", + "iopub.status.busy": "2024-04-08T21:54:14.750527Z", + "iopub.status.idle": "2024-04-08T21:54:14.844174Z", + "shell.execute_reply": "2024-04-08T21:54:14.843571Z" } }, "outputs": [ @@ -1080,10 +1080,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.651502Z", - "iopub.status.busy": "2024-04-08T19:13:58.651135Z", - "iopub.status.idle": "2024-04-08T19:13:58.659988Z", - "shell.execute_reply": "2024-04-08T19:13:58.659533Z" + "iopub.execute_input": "2024-04-08T21:54:14.846652Z", + "iopub.status.busy": "2024-04-08T21:54:14.846214Z", + "iopub.status.idle": "2024-04-08T21:54:14.855429Z", + "shell.execute_reply": "2024-04-08T21:54:14.854873Z" } }, "outputs": [ @@ -1190,10 +1190,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.661959Z", - "iopub.status.busy": "2024-04-08T19:13:58.661702Z", - "iopub.status.idle": "2024-04-08T19:13:58.664433Z", - "shell.execute_reply": "2024-04-08T19:13:58.663997Z" + "iopub.execute_input": "2024-04-08T21:54:14.857732Z", + "iopub.status.busy": "2024-04-08T21:54:14.857317Z", + "iopub.status.idle": "2024-04-08T21:54:14.860277Z", + "shell.execute_reply": "2024-04-08T21:54:14.859716Z" }, "nbsphinx": "hidden" }, @@ -1218,10 +1218,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.666308Z", - "iopub.status.busy": "2024-04-08T19:13:58.666060Z", - "iopub.status.idle": "2024-04-08T19:14:04.108369Z", - "shell.execute_reply": "2024-04-08T19:14:04.107772Z" + "iopub.execute_input": "2024-04-08T21:54:14.862308Z", + "iopub.status.busy": "2024-04-08T21:54:14.862015Z", + "iopub.status.idle": "2024-04-08T21:54:20.339250Z", + "shell.execute_reply": "2024-04-08T21:54:20.338705Z" } }, "outputs": [ @@ -1265,10 +1265,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:14:04.110851Z", - "iopub.status.busy": "2024-04-08T19:14:04.110406Z", - "iopub.status.idle": "2024-04-08T19:14:04.119270Z", - "shell.execute_reply": "2024-04-08T19:14:04.118848Z" + "iopub.execute_input": "2024-04-08T21:54:20.341510Z", + "iopub.status.busy": "2024-04-08T21:54:20.341326Z", + "iopub.status.idle": "2024-04-08T21:54:20.349878Z", + "shell.execute_reply": "2024-04-08T21:54:20.349436Z" } }, "outputs": [ @@ -1377,10 +1377,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:14:04.121410Z", - "iopub.status.busy": "2024-04-08T19:14:04.120984Z", - "iopub.status.idle": "2024-04-08T19:14:04.185861Z", - "shell.execute_reply": "2024-04-08T19:14:04.185384Z" + "iopub.execute_input": "2024-04-08T21:54:20.351726Z", + "iopub.status.busy": "2024-04-08T21:54:20.351554Z", + "iopub.status.idle": "2024-04-08T21:54:20.415427Z", + "shell.execute_reply": "2024-04-08T21:54:20.414862Z" }, "nbsphinx": "hidden" }, @@ -1437,7 +1437,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index 7512e088c..25ac7a5b7 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": "2024-04-08T19:14:07.395028Z", - "iopub.status.busy": "2024-04-08T19:14:07.394566Z", - "iopub.status.idle": "2024-04-08T19:14:11.485319Z", - "shell.execute_reply": "2024-04-08T19:14:11.484630Z" + "iopub.execute_input": "2024-04-08T21:54:23.122415Z", + "iopub.status.busy": "2024-04-08T21:54:23.122061Z", + "iopub.status.idle": "2024-04-08T21:54:24.416189Z", + "shell.execute_reply": "2024-04-08T21:54:24.415590Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:14:11.488001Z", - "iopub.status.busy": "2024-04-08T19:14:11.487586Z", - "iopub.status.idle": "2024-04-08T19:15:03.035425Z", - "shell.execute_reply": "2024-04-08T19:15:03.034793Z" + "iopub.execute_input": "2024-04-08T21:54:24.418694Z", + "iopub.status.busy": "2024-04-08T21:54:24.418500Z", + "iopub.status.idle": "2024-04-08T21:55:07.109922Z", + "shell.execute_reply": "2024-04-08T21:55:07.109225Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:03.037988Z", - "iopub.status.busy": "2024-04-08T19:15:03.037617Z", - "iopub.status.idle": "2024-04-08T19:15:04.144423Z", - "shell.execute_reply": "2024-04-08T19:15:04.143898Z" + "iopub.execute_input": "2024-04-08T21:55:07.112387Z", + "iopub.status.busy": "2024-04-08T21:55:07.112201Z", + "iopub.status.idle": "2024-04-08T21:55:08.209130Z", + "shell.execute_reply": "2024-04-08T21:55:08.208588Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:15:04.146910Z", - "iopub.status.busy": "2024-04-08T19:15:04.146510Z", - "iopub.status.idle": "2024-04-08T19:15:04.149732Z", - "shell.execute_reply": "2024-04-08T19:15:04.149284Z" + "iopub.execute_input": "2024-04-08T21:55:08.212112Z", + "iopub.status.busy": "2024-04-08T21:55:08.211661Z", + "iopub.status.idle": "2024-04-08T21:55:08.215832Z", + "shell.execute_reply": "2024-04-08T21:55:08.215346Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.151905Z", - "iopub.status.busy": "2024-04-08T19:15:04.151503Z", - "iopub.status.idle": "2024-04-08T19:15:04.155404Z", - "shell.execute_reply": "2024-04-08T19:15:04.154966Z" + "iopub.execute_input": "2024-04-08T21:55:08.217925Z", + "iopub.status.busy": "2024-04-08T21:55:08.217749Z", + "iopub.status.idle": "2024-04-08T21:55:08.221647Z", + "shell.execute_reply": "2024-04-08T21:55:08.221188Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.157319Z", - "iopub.status.busy": "2024-04-08T19:15:04.157012Z", - "iopub.status.idle": "2024-04-08T19:15:04.160392Z", - "shell.execute_reply": "2024-04-08T19:15:04.159984Z" + "iopub.execute_input": "2024-04-08T21:55:08.223541Z", + "iopub.status.busy": "2024-04-08T21:55:08.223369Z", + "iopub.status.idle": "2024-04-08T21:55:08.227045Z", + "shell.execute_reply": "2024-04-08T21:55:08.226509Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.162271Z", - "iopub.status.busy": "2024-04-08T19:15:04.161951Z", - "iopub.status.idle": "2024-04-08T19:15:04.164604Z", - "shell.execute_reply": "2024-04-08T19:15:04.164202Z" + "iopub.execute_input": "2024-04-08T21:55:08.229143Z", + "iopub.status.busy": "2024-04-08T21:55:08.228838Z", + "iopub.status.idle": "2024-04-08T21:55:08.231641Z", + "shell.execute_reply": "2024-04-08T21:55:08.231120Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.166521Z", - "iopub.status.busy": "2024-04-08T19:15:04.166174Z", - "iopub.status.idle": "2024-04-08T19:16:20.073084Z", - "shell.execute_reply": "2024-04-08T19:16:20.072471Z" + "iopub.execute_input": "2024-04-08T21:55:08.233469Z", + "iopub.status.busy": "2024-04-08T21:55:08.233291Z", + "iopub.status.idle": "2024-04-08T21:56:23.144455Z", + "shell.execute_reply": "2024-04-08T21:56:23.143839Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f80951daaff1439bae07b22f26431578", + "model_id": "e7391a51221d4e33b893d8334eb51840", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4414546b77b44486a511d3a262f3937f", + "model_id": "27c9ff113d204fb289aff9dcd641e406", "version_major": 2, "version_minor": 0 }, @@ -400,10 +400,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:16:20.075744Z", - "iopub.status.busy": "2024-04-08T19:16:20.075337Z", - "iopub.status.idle": "2024-04-08T19:16:20.750666Z", - "shell.execute_reply": "2024-04-08T19:16:20.750121Z" + "iopub.execute_input": "2024-04-08T21:56:23.147223Z", + "iopub.status.busy": "2024-04-08T21:56:23.146846Z", + "iopub.status.idle": "2024-04-08T21:56:23.815937Z", + "shell.execute_reply": "2024-04-08T21:56:23.815425Z" } }, "outputs": [ @@ -446,10 +446,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:16:20.753014Z", - "iopub.status.busy": "2024-04-08T19:16:20.752584Z", - "iopub.status.idle": "2024-04-08T19:16:23.452100Z", - "shell.execute_reply": "2024-04-08T19:16:23.451576Z" + "iopub.execute_input": "2024-04-08T21:56:23.818306Z", + "iopub.status.busy": "2024-04-08T21:56:23.817820Z", + "iopub.status.idle": "2024-04-08T21:56:26.540170Z", + "shell.execute_reply": "2024-04-08T21:56:26.539694Z" } }, "outputs": [ @@ -519,17 +519,17 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:16:23.454306Z", - "iopub.status.busy": "2024-04-08T19:16:23.454030Z", - "iopub.status.idle": "2024-04-08T19:16:56.036315Z", - "shell.execute_reply": "2024-04-08T19:16:56.035779Z" + "iopub.execute_input": "2024-04-08T21:56:26.542366Z", + "iopub.status.busy": "2024-04-08T21:56:26.542020Z", + "iopub.status.idle": "2024-04-08T21:56:58.765563Z", + "shell.execute_reply": "2024-04-08T21:56:58.765011Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "71098e13b4334a47bbac4b75032ea150", + "model_id": "6b4acaa1a667475cb578e8ed9010c8b4", "version_major": 2, "version_minor": 0 }, @@ -769,10 +769,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:16:56.038307Z", - "iopub.status.busy": "2024-04-08T19:16:56.038128Z", - "iopub.status.idle": "2024-04-08T19:17:10.772843Z", - "shell.execute_reply": "2024-04-08T19:17:10.772275Z" + "iopub.execute_input": "2024-04-08T21:56:58.767587Z", + "iopub.status.busy": "2024-04-08T21:56:58.767410Z", + "iopub.status.idle": "2024-04-08T21:57:13.429442Z", + "shell.execute_reply": "2024-04-08T21:57:13.428871Z" } }, "outputs": [], @@ -786,10 +786,10 @@ "id": "716c74f3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:10.775162Z", - "iopub.status.busy": "2024-04-08T19:17:10.774934Z", - "iopub.status.idle": "2024-04-08T19:17:14.602622Z", - "shell.execute_reply": "2024-04-08T19:17:14.602118Z" + "iopub.execute_input": "2024-04-08T21:57:13.431852Z", + "iopub.status.busy": "2024-04-08T21:57:13.431563Z", + "iopub.status.idle": "2024-04-08T21:57:17.251803Z", + "shell.execute_reply": "2024-04-08T21:57:17.251223Z" } }, "outputs": [ @@ -858,17 +858,17 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:14.604704Z", - "iopub.status.busy": "2024-04-08T19:17:14.604405Z", - "iopub.status.idle": "2024-04-08T19:17:16.041428Z", - "shell.execute_reply": "2024-04-08T19:17:16.040893Z" + "iopub.execute_input": "2024-04-08T21:57:17.253863Z", + "iopub.status.busy": "2024-04-08T21:57:17.253688Z", + "iopub.status.idle": "2024-04-08T21:57:18.653570Z", + "shell.execute_reply": "2024-04-08T21:57:18.653016Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "abbf1d8d4dc4498dbba438256d734fad", + "model_id": "36e71a092c2a4f218b1efff3e7d3b6b6", "version_major": 2, "version_minor": 0 }, @@ -898,10 +898,10 @@ "id": "390780a1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:16.043794Z", - "iopub.status.busy": "2024-04-08T19:17:16.043524Z", - "iopub.status.idle": "2024-04-08T19:17:16.075824Z", - "shell.execute_reply": "2024-04-08T19:17:16.075325Z" + "iopub.execute_input": "2024-04-08T21:57:18.656019Z", + "iopub.status.busy": "2024-04-08T21:57:18.655715Z", + "iopub.status.idle": "2024-04-08T21:57:18.684405Z", + "shell.execute_reply": "2024-04-08T21:57:18.683866Z" } }, "outputs": [], @@ -915,10 +915,10 @@ "id": "933d6ef0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:16.078301Z", - "iopub.status.busy": "2024-04-08T19:17:16.077923Z", - "iopub.status.idle": "2024-04-08T19:17:22.245581Z", - "shell.execute_reply": "2024-04-08T19:17:22.245090Z" + "iopub.execute_input": "2024-04-08T21:57:18.686810Z", + "iopub.status.busy": "2024-04-08T21:57:18.686431Z", + "iopub.status.idle": "2024-04-08T21:57:24.837201Z", + "shell.execute_reply": "2024-04-08T21:57:24.836601Z" } }, "outputs": [ @@ -991,10 +991,10 @@ "id": "86bac686", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:22.247739Z", - "iopub.status.busy": "2024-04-08T19:17:22.247405Z", - "iopub.status.idle": "2024-04-08T19:17:22.303831Z", - "shell.execute_reply": "2024-04-08T19:17:22.303283Z" + "iopub.execute_input": "2024-04-08T21:57:24.839321Z", + "iopub.status.busy": "2024-04-08T21:57:24.839135Z", + "iopub.status.idle": "2024-04-08T21:57:24.895201Z", + "shell.execute_reply": "2024-04-08T21:57:24.894573Z" }, "nbsphinx": "hidden" }, @@ -1033,12 +1033,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "001fb5816a074024996ee285412c72e2": { + "011e636f2648451da265e45984d40108": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1091,78 +1091,33 @@ "width": null } }, - "010891f081ec41c1aabdc9984ea3e880": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "2.0.0", - 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"display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb index 1733ede8c..fb6c01857 100644 --- a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:24.524829Z", - "iopub.status.busy": "2024-04-08T19:17:24.524651Z", - "iopub.status.idle": "2024-04-08T19:17:26.451617Z", - "shell.execute_reply": "2024-04-08T19:17:26.450937Z" + "iopub.execute_input": "2024-04-08T21:57:27.121145Z", + "iopub.status.busy": "2024-04-08T21:57:27.120960Z", + "iopub.status.idle": "2024-04-08T21:57:28.306719Z", + "shell.execute_reply": "2024-04-08T21:57:28.306025Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-08 19:17:24-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-04-08 21:57:27-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,8 +94,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "143.244.49.177, 2400:52e0:1a01::994:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.49.177|:443... connected.\r\n", + "169.150.236.97, 2400:52e0:1a00::718:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "HTTP request sent, awaiting response... " ] }, @@ -116,9 +122,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.49MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", "\r\n", - "2024-04-08 19:17:24 (5.49 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-04-08 21:57:27 (7.37 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -138,22 +144,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-08 19:17:25-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.130.187, 54.231.165.233, 52.216.62.161, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.130.187|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--2024-04-08 21:57:27-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.229, 54.231.228.217, 52.217.108.68, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.229|:443... connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -174,26 +167,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 1%[ ] 211.53K 926KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 22%[===> ] 3.71M 8.12MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 94%[=================> ] 15.37M 22.6MB/s \r", - "pred_probs.npz 100%[===================>] 16.26M 23.5MB/s in 0.7s \r\n", + "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.08s \r\n", "\r\n", - "2024-04-08 19:17:26 (23.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-08 21:57:28 (210 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -210,10 +186,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:26.454458Z", - "iopub.status.busy": "2024-04-08T19:17:26.454223Z", - "iopub.status.idle": "2024-04-08T19:17:27.676181Z", - "shell.execute_reply": "2024-04-08T19:17:27.675698Z" + "iopub.execute_input": "2024-04-08T21:57:28.309489Z", + "iopub.status.busy": "2024-04-08T21:57:28.309052Z", + "iopub.status.idle": "2024-04-08T21:57:29.535134Z", + "shell.execute_reply": "2024-04-08T21:57:29.534610Z" }, "nbsphinx": "hidden" }, @@ -224,7 +200,7 @@ "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -250,10 +226,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.678806Z", - "iopub.status.busy": "2024-04-08T19:17:27.678375Z", - "iopub.status.idle": "2024-04-08T19:17:27.681955Z", - "shell.execute_reply": "2024-04-08T19:17:27.681515Z" + "iopub.execute_input": "2024-04-08T21:57:29.537745Z", + "iopub.status.busy": "2024-04-08T21:57:29.537249Z", + "iopub.status.idle": "2024-04-08T21:57:29.540684Z", + "shell.execute_reply": "2024-04-08T21:57:29.540158Z" } }, "outputs": [], @@ -303,10 +279,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.683962Z", - "iopub.status.busy": "2024-04-08T19:17:27.683699Z", - "iopub.status.idle": "2024-04-08T19:17:27.686524Z", - "shell.execute_reply": "2024-04-08T19:17:27.686095Z" + "iopub.execute_input": "2024-04-08T21:57:29.542659Z", + "iopub.status.busy": "2024-04-08T21:57:29.542362Z", + "iopub.status.idle": "2024-04-08T21:57:29.545192Z", + "shell.execute_reply": "2024-04-08T21:57:29.544763Z" }, "nbsphinx": "hidden" }, @@ -324,10 +300,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.688377Z", - "iopub.status.busy": "2024-04-08T19:17:27.688200Z", - "iopub.status.idle": "2024-04-08T19:17:36.852616Z", - "shell.execute_reply": "2024-04-08T19:17:36.852071Z" + "iopub.execute_input": "2024-04-08T21:57:29.547108Z", + "iopub.status.busy": "2024-04-08T21:57:29.546932Z", + "iopub.status.idle": "2024-04-08T21:57:38.503471Z", + "shell.execute_reply": "2024-04-08T21:57:38.502921Z" } }, "outputs": [], @@ -401,10 +377,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:36.855120Z", - "iopub.status.busy": "2024-04-08T19:17:36.854821Z", - "iopub.status.idle": "2024-04-08T19:17:36.860286Z", - "shell.execute_reply": "2024-04-08T19:17:36.859865Z" + "iopub.execute_input": "2024-04-08T21:57:38.505745Z", + "iopub.status.busy": "2024-04-08T21:57:38.505533Z", + "iopub.status.idle": "2024-04-08T21:57:38.511025Z", + "shell.execute_reply": "2024-04-08T21:57:38.510480Z" }, "nbsphinx": "hidden" }, @@ -444,10 +420,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:36.862236Z", - "iopub.status.busy": "2024-04-08T19:17:36.861904Z", - "iopub.status.idle": "2024-04-08T19:17:37.207147Z", - "shell.execute_reply": "2024-04-08T19:17:37.206565Z" + "iopub.execute_input": "2024-04-08T21:57:38.512954Z", + "iopub.status.busy": "2024-04-08T21:57:38.512667Z", + "iopub.status.idle": "2024-04-08T21:57:38.850937Z", + "shell.execute_reply": "2024-04-08T21:57:38.850274Z" } }, "outputs": [], @@ -484,10 +460,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:37.209618Z", - "iopub.status.busy": "2024-04-08T19:17:37.209283Z", - "iopub.status.idle": "2024-04-08T19:17:37.213376Z", - "shell.execute_reply": "2024-04-08T19:17:37.212864Z" + "iopub.execute_input": "2024-04-08T21:57:38.853325Z", + "iopub.status.busy": "2024-04-08T21:57:38.852997Z", + "iopub.status.idle": "2024-04-08T21:57:38.857421Z", + "shell.execute_reply": "2024-04-08T21:57:38.856864Z" } }, "outputs": [ @@ -559,10 +535,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:37.215394Z", - "iopub.status.busy": "2024-04-08T19:17:37.215083Z", - "iopub.status.idle": "2024-04-08T19:17:39.552115Z", - "shell.execute_reply": "2024-04-08T19:17:39.551400Z" + "iopub.execute_input": "2024-04-08T21:57:38.859500Z", + "iopub.status.busy": "2024-04-08T21:57:38.859081Z", + "iopub.status.idle": "2024-04-08T21:57:41.179261Z", + "shell.execute_reply": "2024-04-08T21:57:41.178473Z" } }, "outputs": [], @@ -584,10 +560,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.555424Z", - "iopub.status.busy": "2024-04-08T19:17:39.554614Z", - "iopub.status.idle": "2024-04-08T19:17:39.558938Z", - "shell.execute_reply": "2024-04-08T19:17:39.558474Z" + "iopub.execute_input": "2024-04-08T21:57:41.182273Z", + "iopub.status.busy": "2024-04-08T21:57:41.181736Z", + "iopub.status.idle": "2024-04-08T21:57:41.185821Z", + "shell.execute_reply": "2024-04-08T21:57:41.185317Z" } }, "outputs": [ @@ -623,10 +599,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.560894Z", - "iopub.status.busy": "2024-04-08T19:17:39.560573Z", - "iopub.status.idle": "2024-04-08T19:17:39.565814Z", - "shell.execute_reply": "2024-04-08T19:17:39.565368Z" + "iopub.execute_input": "2024-04-08T21:57:41.187927Z", + "iopub.status.busy": "2024-04-08T21:57:41.187604Z", + "iopub.status.idle": "2024-04-08T21:57:41.192646Z", + "shell.execute_reply": "2024-04-08T21:57:41.192127Z" } }, "outputs": [ @@ -804,10 +780,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.567759Z", - "iopub.status.busy": "2024-04-08T19:17:39.567433Z", - "iopub.status.idle": "2024-04-08T19:17:39.593200Z", - "shell.execute_reply": "2024-04-08T19:17:39.592668Z" + "iopub.execute_input": "2024-04-08T21:57:41.194666Z", + "iopub.status.busy": "2024-04-08T21:57:41.194347Z", + "iopub.status.idle": "2024-04-08T21:57:41.220015Z", + "shell.execute_reply": "2024-04-08T21:57:41.219564Z" } }, "outputs": [ @@ -909,10 +885,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.595168Z", - "iopub.status.busy": "2024-04-08T19:17:39.594990Z", - "iopub.status.idle": "2024-04-08T19:17:39.599302Z", - "shell.execute_reply": "2024-04-08T19:17:39.598861Z" + "iopub.execute_input": "2024-04-08T21:57:41.221917Z", + "iopub.status.busy": "2024-04-08T21:57:41.221744Z", + "iopub.status.idle": "2024-04-08T21:57:41.225821Z", + "shell.execute_reply": "2024-04-08T21:57:41.225266Z" } }, "outputs": [ @@ -986,10 +962,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.601340Z", - "iopub.status.busy": "2024-04-08T19:17:39.600975Z", - "iopub.status.idle": "2024-04-08T19:17:41.028748Z", - "shell.execute_reply": "2024-04-08T19:17:41.028272Z" + "iopub.execute_input": "2024-04-08T21:57:41.227702Z", + "iopub.status.busy": "2024-04-08T21:57:41.227531Z", + "iopub.status.idle": "2024-04-08T21:57:42.606115Z", + "shell.execute_reply": "2024-04-08T21:57:42.605555Z" } }, "outputs": [ @@ -1161,10 +1137,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:41.030867Z", - "iopub.status.busy": "2024-04-08T19:17:41.030672Z", - "iopub.status.idle": "2024-04-08T19:17:41.034715Z", - "shell.execute_reply": "2024-04-08T19:17:41.034283Z" + "iopub.execute_input": "2024-04-08T21:57:42.608339Z", + "iopub.status.busy": "2024-04-08T21:57:42.608000Z", + "iopub.status.idle": "2024-04-08T21:57:42.612035Z", + "shell.execute_reply": "2024-04-08T21:57:42.611599Z" }, "nbsphinx": "hidden" }, @@ -1197,7 +1173,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/.doctrees/tutorials/clean_learning/index.doctree b/master/.doctrees/tutorials/clean_learning/index.doctree index 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zcmZ4ZgzMrHE|vz?sSF!gj&K^LSr#NG73L-Cn_8rro0wasS(uun85>wwSX!8y8z&|j zB$`_~ zChrXhRoBzgQ!q3!)-y6O(KE5sGc-5XQ7|$wFt9Q;N;R-DOf)dGva+-^ncVMS!h@`A z@_C2jdZs`vzE1kZ3P6yVr(mFGRLsSN#U=#}kjlvqeg1JkEjOLq80@*(nOMnECM$&67EyeK+=?(mtsE~;qqH&1?` z20c?0_n2dKkC}o7Naf@YF7BgYq(>->93~fgWiw8jzVR=k{$xIHURV@@(oeh+a+)AE z>C^?Dr!eU(Co$OshQy*Jo4UX-V6rivyvpB;)MT?K)PH)fDSource code for cleanlab.object_detection.summary

Defaults to `MAX_CLASS_TO_SHOW` which is set to 10. kwargs: - Additional keyword arguments to pass to `plt.show()`. + Additional keyword arguments to pass to ``plt.show()`` (matplotlib.pyplot.show). """ try: import matplotlib.pyplot as plt @@ -897,7 +897,7 @@

Source code for cleanlab.object_detection.summary

Optional dictionary mapping one-hot-encoded class labels back to their original class names in the format ``{"integer-label": "original-class-name"}``. kwargs: - Additional keyword arguments to pass to `plt.show()` (matplotlib.pyplot.show). + Additional keyword arguments to pass to ``plt.show()`` (matplotlib.pyplot.show). """ try: import matplotlib.pyplot as plt @@ -969,7 +969,7 @@

Source code for cleanlab.object_detection.summary

Corresponds to ``matplotlib.figure.figsize``. kwargs: - Additional keyword arguments to pass to `plt.show()` (matplotlib.pyplot.show). + Additional keyword arguments to pass to ``plt.show()`` (matplotlib.pyplot.show). """ try: import matplotlib.pyplot as plt diff --git a/master/_modules/cleanlab/segmentation/summary.html b/master/_modules/cleanlab/segmentation/summary.html index 0ea8e10e1..f9d67468d 100644 --- a/master/_modules/cleanlab/segmentation/summary.html +++ b/master/_modules/cleanlab/segmentation/summary.html @@ -669,7 +669,7 @@

Source code for cleanlab.segmentation.summary

Optional list of label classes that can be ignored in the errors, each element must be 0, 1, ..., K-1 kwargs - Additional keyword arguments to pass to `plt.show()` (matplotlib.pyplot.show). + Additional keyword arguments to pass to ``plt.show()`` (matplotlib.pyplot.show). """ class_names, exclude, top = _get_summary_optional_params(class_names, exclude, top) if labels is None and len(exclude) > 0: diff --git a/master/_sources/tutorials/clean_learning/tabular.ipynb b/master/_sources/tutorials/clean_learning/tabular.ipynb index c255f7133..08eedfd98 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 1d858207b..ecfd85d71 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 013c3246b..9f5305d3c 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 34eeb7fc9..b8801a830 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 c495a5c38..266b493ef 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 805ad6294..258090b02 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 c42d393d2..7068e4dde 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 32a6d6409..ca8245e97 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 fadf9b2d9..9059b949a 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 e155f282b..85bf3f592 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 42cb17a4c..f7a2fa9f4 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 3aea75fd6..bfbd240db 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 f84474830..041ea0f34 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 230e275e7..7f518ef14 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 b7f58c0c3..1d7d1e951 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 757e388f8..3cd4d6c68 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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 564a5b06e..58dc635cf 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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/cleanlab/object_detection/summary.html b/master/cleanlab/object_detection/summary.html index 96359b8f8..cb04e8552 100644 --- a/master/cleanlab/object_detection/summary.html +++ b/master/cleanlab/object_detection/summary.html @@ -758,7 +758,7 @@

summaryplt.show() (matplotlib.pyplot.show).

@@ -777,7 +777,7 @@

summaryobject_counts_per_image for further details.

  • class_names (optional) – Optional dictionary mapping one-hot-encoded class labels back to their original class names in the format {"integer-label": "original-class-name"}.

    • -

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • +

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • @@ -809,7 +809,7 @@

    summaryOptional[str]) – Path to save figure at. If a path is provided, the figure is saved. To save in a specific image format, add desired file extension to the end of save_path. Allowed file extensions are: ‘png’, ‘pdf’, ‘ps’, ‘eps’, and ‘svg’.

  • figsize (Optional[Tuple[int, int]]) – Optional figure size for plotting the image. Corresponds to matplotlib.figure.figsize.

    • -

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • +

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • Return type:
    diff --git a/master/cleanlab/segmentation/summary.html b/master/cleanlab/segmentation/summary.html index 3957f85d1..2cb8351e1 100644 --- a/master/cleanlab/segmentation/summary.html +++ b/master/cleanlab/segmentation/summary.html @@ -646,7 +646,7 @@

  • top (Optional[int]) – Optional maximum number of issues to be printed. If not provided, a good default is used.

  • exclude (Optional[List[int]]) – Optional list of label classes that can be ignored in the errors, each element must be 0, 1, …, K-1

    • -

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • +

  • kwargs – Additional keyword arguments to pass to plt.show() (matplotlib.pyplot.show).

    • Return type:
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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. 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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. 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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"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, 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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. 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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. 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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.datalab.internal.issue_manager.label.LabelIssueManager.get_health_summary"]], "health_summary_parameters (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[23, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.health_summary_parameters"]], "info (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[23, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[23, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[23, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[23, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issues"]], 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"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 c84eb4e52..116dab358 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": "2024-04-08T19:04:20.808965Z", - "iopub.status.busy": "2024-04-08T19:04:20.808791Z", - "iopub.status.idle": "2024-04-08T19:04:21.997144Z", - "shell.execute_reply": "2024-04-08T19:04:21.996577Z" + "iopub.execute_input": "2024-04-08T21:45:57.068339Z", + "iopub.status.busy": "2024-04-08T21:45:57.067980Z", + "iopub.status.idle": "2024-04-08T21:45:58.278884Z", + "shell.execute_reply": "2024-04-08T21:45:58.278211Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:21.999784Z", - "iopub.status.busy": "2024-04-08T19:04:21.999468Z", - "iopub.status.idle": "2024-04-08T19:04:22.020020Z", - "shell.execute_reply": "2024-04-08T19:04:22.019546Z" + "iopub.execute_input": "2024-04-08T21:45:58.281538Z", + "iopub.status.busy": "2024-04-08T21:45:58.281232Z", + "iopub.status.idle": "2024-04-08T21:45:58.300582Z", + "shell.execute_reply": "2024-04-08T21:45:58.300113Z" } }, "outputs": [], @@ -196,10 +196,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.022733Z", - "iopub.status.busy": "2024-04-08T19:04:22.022190Z", - "iopub.status.idle": "2024-04-08T19:04:22.250382Z", - "shell.execute_reply": "2024-04-08T19:04:22.249811Z" + "iopub.execute_input": "2024-04-08T21:45:58.303240Z", + "iopub.status.busy": "2024-04-08T21:45:58.302768Z", + "iopub.status.idle": "2024-04-08T21:45:58.436390Z", + "shell.execute_reply": "2024-04-08T21:45:58.435821Z" } }, "outputs": [ @@ -306,10 +306,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.288376Z", - "iopub.status.busy": "2024-04-08T19:04:22.287864Z", - "iopub.status.idle": "2024-04-08T19:04:22.292293Z", - "shell.execute_reply": "2024-04-08T19:04:22.291761Z" + "iopub.execute_input": "2024-04-08T21:45:58.468989Z", + "iopub.status.busy": "2024-04-08T21:45:58.468559Z", + "iopub.status.idle": "2024-04-08T21:45:58.472453Z", + "shell.execute_reply": "2024-04-08T21:45:58.471980Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.294486Z", - "iopub.status.busy": "2024-04-08T19:04:22.294124Z", - "iopub.status.idle": "2024-04-08T19:04:22.302832Z", - "shell.execute_reply": "2024-04-08T19:04:22.302384Z" + "iopub.execute_input": "2024-04-08T21:45:58.474540Z", + "iopub.status.busy": "2024-04-08T21:45:58.474221Z", + "iopub.status.idle": "2024-04-08T21:45:58.482919Z", + "shell.execute_reply": "2024-04-08T21:45:58.482477Z" } }, "outputs": [], @@ -385,10 +385,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.305016Z", - "iopub.status.busy": "2024-04-08T19:04:22.304694Z", - "iopub.status.idle": "2024-04-08T19:04:22.307358Z", - "shell.execute_reply": "2024-04-08T19:04:22.306925Z" + "iopub.execute_input": "2024-04-08T21:45:58.485176Z", + "iopub.status.busy": "2024-04-08T21:45:58.484659Z", + "iopub.status.idle": "2024-04-08T21:45:58.487298Z", + "shell.execute_reply": "2024-04-08T21:45:58.486865Z" } }, "outputs": [], @@ -410,10 +410,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.309357Z", - "iopub.status.busy": "2024-04-08T19:04:22.308992Z", - "iopub.status.idle": "2024-04-08T19:04:22.826772Z", - "shell.execute_reply": "2024-04-08T19:04:22.826102Z" + "iopub.execute_input": "2024-04-08T21:45:58.489353Z", + "iopub.status.busy": "2024-04-08T21:45:58.488964Z", + "iopub.status.idle": "2024-04-08T21:45:59.016003Z", + "shell.execute_reply": "2024-04-08T21:45:59.015357Z" } }, "outputs": [], @@ -447,10 +447,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:22.829195Z", - "iopub.status.busy": "2024-04-08T19:04:22.829001Z", - "iopub.status.idle": "2024-04-08T19:04:24.584334Z", - "shell.execute_reply": "2024-04-08T19:04:24.583696Z" + "iopub.execute_input": "2024-04-08T21:45:59.018616Z", + "iopub.status.busy": "2024-04-08T21:45:59.018418Z", + "iopub.status.idle": "2024-04-08T21:46:00.735533Z", + "shell.execute_reply": "2024-04-08T21:46:00.734843Z" } }, "outputs": [ @@ -482,10 +482,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.587018Z", - "iopub.status.busy": "2024-04-08T19:04:24.586424Z", - "iopub.status.idle": "2024-04-08T19:04:24.596789Z", - "shell.execute_reply": "2024-04-08T19:04:24.596333Z" + "iopub.execute_input": "2024-04-08T21:46:00.738117Z", + "iopub.status.busy": "2024-04-08T21:46:00.737547Z", + "iopub.status.idle": "2024-04-08T21:46:00.747854Z", + "shell.execute_reply": "2024-04-08T21:46:00.747337Z" } }, "outputs": [ @@ -606,10 +606,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.598784Z", - "iopub.status.busy": "2024-04-08T19:04:24.598605Z", - "iopub.status.idle": "2024-04-08T19:04:24.603028Z", - "shell.execute_reply": "2024-04-08T19:04:24.602574Z" + "iopub.execute_input": "2024-04-08T21:46:00.750041Z", + "iopub.status.busy": "2024-04-08T21:46:00.749718Z", + "iopub.status.idle": "2024-04-08T21:46:00.753816Z", + "shell.execute_reply": "2024-04-08T21:46:00.753366Z" } }, "outputs": [], @@ -634,10 +634,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.604932Z", - "iopub.status.busy": "2024-04-08T19:04:24.604757Z", - "iopub.status.idle": "2024-04-08T19:04:24.612374Z", - "shell.execute_reply": "2024-04-08T19:04:24.611848Z" + "iopub.execute_input": "2024-04-08T21:46:00.755965Z", + "iopub.status.busy": "2024-04-08T21:46:00.755652Z", + "iopub.status.idle": "2024-04-08T21:46:00.762575Z", + "shell.execute_reply": "2024-04-08T21:46:00.762154Z" } }, "outputs": [], @@ -659,10 +659,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:24.614464Z", - "iopub.status.busy": "2024-04-08T19:04:24.614057Z", - "iopub.status.idle": "2024-04-08T19:04:24.725724Z", - 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"iopub.execute_input": "2024-04-08T19:04:26.902458Z", - "iopub.status.busy": "2024-04-08T19:04:26.902143Z", - "iopub.status.idle": "2024-04-08T19:04:27.012965Z", - "shell.execute_reply": "2024-04-08T19:04:27.012399Z" + "iopub.execute_input": "2024-04-08T21:46:02.980899Z", + "iopub.status.busy": "2024-04-08T21:46:02.980580Z", + "iopub.status.idle": "2024-04-08T21:46:03.004548Z", + "shell.execute_reply": "2024-04-08T21:46:03.003965Z" }, "nbsphinx": "hidden" }, @@ -813,7 +813,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/clean_learning/text.html b/master/tutorials/clean_learning/text.html index 19d19deae..228788d32 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: {'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'visa_or_mastercard', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay'}
+Classes: {'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'card_payment_fee_charged', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies'}

    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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    -
    +
    -
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    -
    +
    @@ -890,7 +890,7 @@

    2. Load and format the text dataset 
     No sentence-transformers model found with name /home/runner/.cache/torch/sentence_transformers/google_electra-small-discriminator. Creating a new one with MEAN pooling.
-/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   return self.fget.__get__(instance, owner)()

    @@ -1181,7 +1181,7 @@

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"2024-04-08T19:04:29.937583Z", - "iopub.status.idle": "2024-04-08T19:04:33.047637Z", - "shell.execute_reply": "2024-04-08T19:04:33.046998Z" + "iopub.execute_input": "2024-04-08T21:46:06.221686Z", + "iopub.status.busy": "2024-04-08T21:46:06.221200Z", + "iopub.status.idle": "2024-04-08T21:46:09.361014Z", + "shell.execute_reply": "2024-04-08T21:46:09.360445Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:33.050116Z", - "iopub.status.busy": "2024-04-08T19:04:33.049809Z", - "iopub.status.idle": "2024-04-08T19:04:33.053073Z", - "shell.execute_reply": "2024-04-08T19:04:33.052649Z" + "iopub.execute_input": "2024-04-08T21:46:09.363647Z", + "iopub.status.busy": "2024-04-08T21:46:09.363253Z", + "iopub.status.idle": "2024-04-08T21:46:09.366528Z", + "shell.execute_reply": "2024-04-08T21:46:09.366102Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.054962Z", - "iopub.status.busy": "2024-04-08T19:04:33.054682Z", - "iopub.status.idle": "2024-04-08T19:04:33.057634Z", - "shell.execute_reply": "2024-04-08T19:04:33.057206Z" + "iopub.execute_input": "2024-04-08T21:46:09.368543Z", + "iopub.status.busy": "2024-04-08T21:46:09.368227Z", + "iopub.status.idle": "2024-04-08T21:46:09.371141Z", + "shell.execute_reply": "2024-04-08T21:46:09.370705Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.059556Z", - "iopub.status.busy": "2024-04-08T19:04:33.059236Z", - "iopub.status.idle": "2024-04-08T19:04:33.304635Z", - "shell.execute_reply": "2024-04-08T19:04:33.304093Z" + "iopub.execute_input": "2024-04-08T21:46:09.373133Z", + "iopub.status.busy": "2024-04-08T21:46:09.372809Z", + "iopub.status.idle": "2024-04-08T21:46:09.397158Z", + "shell.execute_reply": "2024-04-08T21:46:09.396569Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.306822Z", - "iopub.status.busy": "2024-04-08T19:04:33.306485Z", - "iopub.status.idle": "2024-04-08T19:04:33.309981Z", - "shell.execute_reply": "2024-04-08T19:04:33.309578Z" + "iopub.execute_input": "2024-04-08T21:46:09.399759Z", + "iopub.status.busy": "2024-04-08T21:46:09.399318Z", + "iopub.status.idle": "2024-04-08T21:46:09.403157Z", + "shell.execute_reply": "2024-04-08T21:46:09.402590Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.311977Z", - "iopub.status.busy": "2024-04-08T19:04:33.311602Z", - "iopub.status.idle": "2024-04-08T19:04:33.314907Z", - "shell.execute_reply": "2024-04-08T19:04:33.314372Z" + "iopub.execute_input": "2024-04-08T21:46:09.405236Z", + "iopub.status.busy": "2024-04-08T21:46:09.404845Z", + "iopub.status.idle": "2024-04-08T21:46:09.408315Z", + "shell.execute_reply": "2024-04-08T21:46:09.407775Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'visa_or_mastercard', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay'}\n" + "Classes: {'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'card_payment_fee_charged', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'cancel_transfer', 'card_about_to_expire', 'beneficiary_not_allowed', 'supported_cards_and_currencies'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.316831Z", - "iopub.status.busy": "2024-04-08T19:04:33.316579Z", - "iopub.status.idle": "2024-04-08T19:04:33.319694Z", - "shell.execute_reply": "2024-04-08T19:04:33.319261Z" + "iopub.execute_input": "2024-04-08T21:46:09.410237Z", + "iopub.status.busy": "2024-04-08T21:46:09.409943Z", + "iopub.status.idle": "2024-04-08T21:46:09.413101Z", + "shell.execute_reply": "2024-04-08T21:46:09.412566Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.321534Z", - "iopub.status.busy": "2024-04-08T19:04:33.321217Z", - "iopub.status.idle": "2024-04-08T19:04:33.324298Z", - "shell.execute_reply": "2024-04-08T19:04:33.323874Z" + "iopub.execute_input": "2024-04-08T21:46:09.415077Z", + "iopub.status.busy": "2024-04-08T21:46:09.414751Z", + "iopub.status.idle": "2024-04-08T21:46:09.418069Z", + "shell.execute_reply": "2024-04-08T21:46:09.417520Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:33.326161Z", - "iopub.status.busy": "2024-04-08T19:04:33.325901Z", - "iopub.status.idle": "2024-04-08T19:04:39.132517Z", - "shell.execute_reply": "2024-04-08T19:04:39.131899Z" + "iopub.execute_input": "2024-04-08T21:46:09.420330Z", + "iopub.status.busy": "2024-04-08T21:46:09.419902Z", + "iopub.status.idle": "2024-04-08T21:46:13.663207Z", + "shell.execute_reply": "2024-04-08T21:46:13.662544Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "414486671bbc4579b154f2d4dd8df463", + "model_id": "ca53515c3b9541058a7101bcce2962c2", "version_major": 2, "version_minor": 0 }, @@ -477,7 +477,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "596554d1fd004a229dc0e9d5610bace9", + "model_id": "3d6a576d0a4c4615bbe32ce97958a77b", "version_major": 2, "version_minor": 0 }, @@ -491,7 +491,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4a26fef448554f36a9cb66bea78f484a", + "model_id": "445fc7b3370f419a97d75befa400a7c6", "version_major": 2, "version_minor": 0 }, @@ -505,7 +505,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c18cde9a3b464ad1a69d4fbf65c4287b", + "model_id": "25c18c7965fb48c68a87ef99282a4553", "version_major": 2, "version_minor": 0 }, @@ -519,7 +519,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e8839cb132d74eb9a916dda9fdafe1c4", + "model_id": "90210570e43043339f5b21c2dd4bfb80", "version_major": 2, "version_minor": 0 }, @@ -533,7 +533,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5e9e17de388746f4ba1fb4f05e426c4e", + "model_id": "ff91dbb797af4611acdaca215e0d14bd", "version_major": 2, "version_minor": 0 }, @@ -547,7 +547,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3af073a39e45402187f042a3cf90b160", + "model_id": "d3a6c21822af4c58b185e7ed5c38c37c", "version_major": 2, "version_minor": 0 }, @@ -569,7 +569,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", " return self.fget.__get__(instance, owner)()\n" ] } @@ -609,10 +609,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.135354Z", - "iopub.status.busy": "2024-04-08T19:04:39.134961Z", - "iopub.status.idle": "2024-04-08T19:04:39.137900Z", - "shell.execute_reply": "2024-04-08T19:04:39.137434Z" + "iopub.execute_input": "2024-04-08T21:46:13.666642Z", + "iopub.status.busy": "2024-04-08T21:46:13.666267Z", + "iopub.status.idle": "2024-04-08T21:46:13.669783Z", + "shell.execute_reply": "2024-04-08T21:46:13.669182Z" } }, "outputs": [], @@ -634,10 +634,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.139840Z", - "iopub.status.busy": "2024-04-08T19:04:39.139530Z", - "iopub.status.idle": "2024-04-08T19:04:39.141949Z", - "shell.execute_reply": "2024-04-08T19:04:39.141547Z" + "iopub.execute_input": "2024-04-08T21:46:13.672099Z", + "iopub.status.busy": "2024-04-08T21:46:13.671900Z", + "iopub.status.idle": "2024-04-08T21:46:13.674853Z", + "shell.execute_reply": "2024-04-08T21:46:13.674252Z" } }, "outputs": [], @@ -652,10 +652,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:39.143931Z", - "iopub.status.busy": "2024-04-08T19:04:39.143626Z", - "iopub.status.idle": "2024-04-08T19:04:41.418071Z", - "shell.execute_reply": "2024-04-08T19:04:41.417473Z" + "iopub.execute_input": "2024-04-08T21:46:13.676970Z", + "iopub.status.busy": "2024-04-08T21:46:13.676793Z", + "iopub.status.idle": "2024-04-08T21:46:16.018875Z", + "shell.execute_reply": "2024-04-08T21:46:16.018225Z" }, "scrolled": true }, @@ -678,10 +678,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.421050Z", - "iopub.status.busy": "2024-04-08T19:04:41.420335Z", - "iopub.status.idle": "2024-04-08T19:04:41.427937Z", - "shell.execute_reply": "2024-04-08T19:04:41.427499Z" + "iopub.execute_input": "2024-04-08T21:46:16.021873Z", + "iopub.status.busy": "2024-04-08T21:46:16.021220Z", + "iopub.status.idle": "2024-04-08T21:46:16.029041Z", + "shell.execute_reply": "2024-04-08T21:46:16.028512Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.429872Z", - "iopub.status.busy": "2024-04-08T19:04:41.429566Z", - "iopub.status.idle": "2024-04-08T19:04:41.433444Z", - "shell.execute_reply": "2024-04-08T19:04:41.433009Z" + "iopub.execute_input": "2024-04-08T21:46:16.031290Z", + "iopub.status.busy": "2024-04-08T21:46:16.031014Z", + "iopub.status.idle": "2024-04-08T21:46:16.034817Z", + "shell.execute_reply": "2024-04-08T21:46:16.034373Z" } }, "outputs": [], @@ -799,10 +799,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.435332Z", - "iopub.status.busy": "2024-04-08T19:04:41.435016Z", - "iopub.status.idle": "2024-04-08T19:04:41.437872Z", - "shell.execute_reply": "2024-04-08T19:04:41.437382Z" + "iopub.execute_input": "2024-04-08T21:46:16.036878Z", + "iopub.status.busy": "2024-04-08T21:46:16.036452Z", + "iopub.status.idle": "2024-04-08T21:46:16.039842Z", + "shell.execute_reply": "2024-04-08T21:46:16.039385Z" } }, "outputs": [ @@ -837,10 +837,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.439975Z", - "iopub.status.busy": "2024-04-08T19:04:41.439662Z", - "iopub.status.idle": "2024-04-08T19:04:41.442421Z", - "shell.execute_reply": "2024-04-08T19:04:41.442004Z" + "iopub.execute_input": "2024-04-08T21:46:16.041890Z", + "iopub.status.busy": "2024-04-08T21:46:16.041484Z", + "iopub.status.idle": "2024-04-08T21:46:16.044609Z", + "shell.execute_reply": "2024-04-08T21:46:16.044158Z" } }, "outputs": [], @@ -860,10 +860,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.444405Z", - "iopub.status.busy": "2024-04-08T19:04:41.444102Z", - "iopub.status.idle": "2024-04-08T19:04:41.450660Z", - "shell.execute_reply": "2024-04-08T19:04:41.450205Z" + "iopub.execute_input": "2024-04-08T21:46:16.046518Z", + "iopub.status.busy": "2024-04-08T21:46:16.046340Z", + "iopub.status.idle": "2024-04-08T21:46:16.053640Z", + "shell.execute_reply": "2024-04-08T21:46:16.053183Z" } }, "outputs": [ @@ -988,10 +988,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.452688Z", - "iopub.status.busy": "2024-04-08T19:04:41.452371Z", - "iopub.status.idle": "2024-04-08T19:04:41.707871Z", - "shell.execute_reply": "2024-04-08T19:04:41.707294Z" + "iopub.execute_input": "2024-04-08T21:46:16.055839Z", + "iopub.status.busy": "2024-04-08T21:46:16.055437Z", + "iopub.status.idle": "2024-04-08T21:46:16.281522Z", + "shell.execute_reply": "2024-04-08T21:46:16.280918Z" }, "scrolled": true }, @@ -1030,10 +1030,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:41.710541Z", - "iopub.status.busy": "2024-04-08T19:04:41.710134Z", - "iopub.status.idle": "2024-04-08T19:04:41.886669Z", - "shell.execute_reply": "2024-04-08T19:04:41.886149Z" + "iopub.execute_input": "2024-04-08T21:46:16.284508Z", + "iopub.status.busy": "2024-04-08T21:46:16.283902Z", + "iopub.status.idle": "2024-04-08T21:46:16.462865Z", + "shell.execute_reply": "2024-04-08T21:46:16.462241Z" }, "scrolled": true }, @@ -1066,10 +1066,10 @@ "execution_count": 20, "metadata": { "execution": { - 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"_model_name": "HTMLStyleModel", + "_model_name": "HTMLModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_9f6d6dadb262429cb1d0a9d56953f5c6", + "placeholder": "​", + "style": "IPY_MODEL_18cdc6e48b0848a0a91a077528a56c7a", + "tabbable": null, + "tooltip": null, + "value": " 2.21k/2.21k [00:00<00:00, 344kB/s]" } }, - "107f3b6a64fb41898b51c78312996d47": { + "01a41e2ea2de40839044f3cee4a1d9be": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1183,7 +1154,7 @@ "text_color": null } }, - "161f5f17377e4e528cc2e973474950ee": { + "01eac64567a24c4395929ce231c1b5b2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1198,69 +1169,41 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_63fe7f89c61d469689356c8afe8f7d0a", + "layout": "IPY_MODEL_31877892c1544f5fb2ed5e7206151493", "placeholder": "​", - "style": "IPY_MODEL_068617b1c6e7410ea8a61aaa3bf35a59", + "style": "IPY_MODEL_c2a732321f2240d29f32c36ec2994c6d", "tabbable": null, "tooltip": null, "value": "README.md: 100%" } }, - "16dad8a9c9074f5ab4ed24858cf4f896": { + "0436616e268442929285c45e5127c471": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } - }, - "2b0e68483cbf470db65245930283cce4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - 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    3. Use pre-trained SpeechBrain model to featurize audio 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
 Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)
   return _VF.stft(input, n_fft, hop_length, win_length, window,  # type: ignore[attr-defined]
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    5. 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"if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:04:51.041604Z", - "iopub.status.busy": "2024-04-08T19:04:51.041029Z", - "iopub.status.idle": "2024-04-08T19:04:51.044345Z", - "shell.execute_reply": "2024-04-08T19:04:51.043904Z" + "iopub.execute_input": "2024-04-08T21:46:24.799961Z", + "iopub.status.busy": "2024-04-08T21:46:24.799270Z", + "iopub.status.idle": "2024-04-08T21:46:24.802636Z", + "shell.execute_reply": "2024-04-08T21:46:24.802151Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:51.046287Z", - "iopub.status.busy": "2024-04-08T19:04:51.045963Z", - "iopub.status.idle": "2024-04-08T19:04:51.050303Z", - "shell.execute_reply": "2024-04-08T19:04:51.049883Z" + "iopub.execute_input": "2024-04-08T21:46:24.804827Z", + "iopub.status.busy": "2024-04-08T21:46:24.804415Z", + "iopub.status.idle": "2024-04-08T21:46:24.808816Z", + "shell.execute_reply": "2024-04-08T21:46:24.808386Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:51.052312Z", - "iopub.status.busy": "2024-04-08T19:04:51.051991Z", - "iopub.status.idle": "2024-04-08T19:04:52.964225Z", - "shell.execute_reply": "2024-04-08T19:04:52.963597Z" + "iopub.execute_input": "2024-04-08T21:46:24.810880Z", + "iopub.status.busy": "2024-04-08T21:46:24.810647Z", + "iopub.status.idle": "2024-04-08T21:46:26.264645Z", + "shell.execute_reply": "2024-04-08T21:46:26.264022Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.967053Z", - "iopub.status.busy": "2024-04-08T19:04:52.966626Z", - "iopub.status.idle": "2024-04-08T19:04:52.977284Z", - "shell.execute_reply": "2024-04-08T19:04:52.976855Z" + "iopub.execute_input": "2024-04-08T21:46:26.267342Z", + "iopub.status.busy": "2024-04-08T21:46:26.266945Z", + "iopub.status.idle": "2024-04-08T21:46:26.277681Z", + "shell.execute_reply": "2024-04-08T21:46:26.277212Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.979356Z", - "iopub.status.busy": "2024-04-08T19:04:52.979056Z", - "iopub.status.idle": "2024-04-08T19:04:52.984474Z", - "shell.execute_reply": "2024-04-08T19:04:52.984027Z" + "iopub.execute_input": "2024-04-08T21:46:26.279820Z", + "iopub.status.busy": "2024-04-08T21:46:26.279480Z", + "iopub.status.idle": "2024-04-08T21:46:26.284942Z", + "shell.execute_reply": "2024-04-08T21:46:26.284496Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:52.986467Z", - "iopub.status.busy": "2024-04-08T19:04:52.986184Z", - "iopub.status.idle": "2024-04-08T19:04:53.470988Z", - "shell.execute_reply": "2024-04-08T19:04:53.470375Z" + "iopub.execute_input": "2024-04-08T21:46:26.287110Z", + "iopub.status.busy": "2024-04-08T21:46:26.286758Z", + "iopub.status.idle": "2024-04-08T21:46:26.740692Z", + "shell.execute_reply": "2024-04-08T21:46:26.740122Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:53.473214Z", - "iopub.status.busy": "2024-04-08T19:04:53.472775Z", - "iopub.status.idle": "2024-04-08T19:04:55.493272Z", - "shell.execute_reply": "2024-04-08T19:04:55.492735Z" + "iopub.execute_input": "2024-04-08T21:46:26.742916Z", + "iopub.status.busy": "2024-04-08T21:46:26.742540Z", + "iopub.status.idle": "2024-04-08T21:46:27.401973Z", + "shell.execute_reply": "2024-04-08T21:46:27.401472Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.495706Z", - "iopub.status.busy": "2024-04-08T19:04:55.495509Z", - "iopub.status.idle": "2024-04-08T19:04:55.513796Z", - "shell.execute_reply": "2024-04-08T19:04:55.513240Z" + "iopub.execute_input": "2024-04-08T21:46:27.404500Z", + "iopub.status.busy": "2024-04-08T21:46:27.404302Z", + "iopub.status.idle": "2024-04-08T21:46:27.422563Z", + "shell.execute_reply": "2024-04-08T21:46:27.421982Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.515946Z", - "iopub.status.busy": "2024-04-08T19:04:55.515624Z", - "iopub.status.idle": "2024-04-08T19:04:55.519151Z", - "shell.execute_reply": "2024-04-08T19:04:55.518745Z" + "iopub.execute_input": "2024-04-08T21:46:27.424814Z", + "iopub.status.busy": "2024-04-08T21:46:27.424470Z", + "iopub.status.idle": "2024-04-08T21:46:27.427574Z", + "shell.execute_reply": "2024-04-08T21:46:27.427128Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:04:55.521090Z", - "iopub.status.busy": "2024-04-08T19:04:55.520779Z", - "iopub.status.idle": "2024-04-08T19:05:10.361560Z", - "shell.execute_reply": "2024-04-08T19:05:10.361009Z" + "iopub.execute_input": "2024-04-08T21:46:27.429700Z", + "iopub.status.busy": "2024-04-08T21:46:27.429297Z", + "iopub.status.idle": "2024-04-08T21:46:42.372067Z", + "shell.execute_reply": "2024-04-08T21:46:42.371498Z" }, "id": "2FSQ2GR9R_YA" }, @@ -594,7 +594,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.\n", "Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.)\n", " return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]\n" ] @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-04-08T19:05:10.364429Z", - "iopub.status.busy": "2024-04-08T19:05:10.364034Z", - "iopub.status.idle": "2024-04-08T19:05:10.367863Z", - "shell.execute_reply": "2024-04-08T19:05:10.367337Z" + "iopub.execute_input": "2024-04-08T21:46:42.374775Z", + "iopub.status.busy": "2024-04-08T21:46:42.374372Z", + "iopub.status.idle": "2024-04-08T21:46:42.378328Z", + "shell.execute_reply": "2024-04-08T21:46:42.377783Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:10.370078Z", - "iopub.status.busy": "2024-04-08T19:05:10.369656Z", - "iopub.status.idle": "2024-04-08T19:05:11.087473Z", - 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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@cc319efea07da004d1544c0577402d71f309fa06 + %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4 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
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    5. Use DataMonitor to find issues in new data

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    @@ -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 f4ed52c9a..97c3b399b 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": "2024-04-08T19:05:16.056480Z", - "iopub.status.busy": "2024-04-08T19:05:16.056305Z", - "iopub.status.idle": "2024-04-08T19:05:17.226995Z", - "shell.execute_reply": "2024-04-08T19:05:17.226456Z" + "iopub.execute_input": "2024-04-08T21:46:47.309811Z", + "iopub.status.busy": "2024-04-08T21:46:47.309301Z", + "iopub.status.idle": "2024-04-08T21:46:48.481457Z", + "shell.execute_reply": "2024-04-08T21:46:48.480910Z" } }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:17.229650Z", - "iopub.status.busy": "2024-04-08T19:05:17.229169Z", - "iopub.status.idle": "2024-04-08T19:05:17.235852Z", - "shell.execute_reply": "2024-04-08T19:05:17.235318Z" + "iopub.execute_input": "2024-04-08T21:46:48.484191Z", + "iopub.status.busy": "2024-04-08T21:46:48.483673Z", + "iopub.status.idle": "2024-04-08T21:46:48.490491Z", + "shell.execute_reply": "2024-04-08T21:46:48.490050Z" } }, "outputs": [], @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:17.238153Z", - "iopub.status.busy": "2024-04-08T19:05:17.237822Z", - "iopub.status.idle": "2024-04-08T19:05:17.246365Z", - "shell.execute_reply": "2024-04-08T19:05:17.245924Z" + "iopub.execute_input": "2024-04-08T21:46:48.492816Z", + "iopub.status.busy": "2024-04-08T21:46:48.492448Z", + "iopub.status.idle": "2024-04-08T21:46:48.501255Z", + "shell.execute_reply": "2024-04-08T21:46:48.500686Z" } }, "outputs": [], @@ -334,10 +334,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:17.248259Z", - "iopub.status.busy": "2024-04-08T19:05:17.247938Z", - "iopub.status.idle": "2024-04-08T19:05:17.252838Z", - "shell.execute_reply": "2024-04-08T19:05:17.252440Z" + "iopub.execute_input": "2024-04-08T21:46:48.503414Z", + "iopub.status.busy": "2024-04-08T21:46:48.502991Z", + "iopub.status.idle": "2024-04-08T21:46:48.508220Z", + "shell.execute_reply": "2024-04-08T21:46:48.507681Z" } }, "outputs": [], @@ -350,10 +350,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:17.254810Z", - "iopub.status.busy": "2024-04-08T19:05:17.254482Z", - "iopub.status.idle": "2024-04-08T19:05:17.258040Z", - "shell.execute_reply": "2024-04-08T19:05:17.257638Z" + "iopub.execute_input": "2024-04-08T21:46:48.510469Z", + "iopub.status.busy": "2024-04-08T21:46:48.510030Z", + "iopub.status.idle": "2024-04-08T21:46:48.514048Z", + "shell.execute_reply": "2024-04-08T21:46:48.513452Z" } }, "outputs": [], @@ -431,10 +431,10 @@ "execution_count": 6, "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 e435a28b7..a36e945c4 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": "2024-04-08T19:05:32.399757Z", - "iopub.status.busy": "2024-04-08T19:05:32.399402Z", - "iopub.status.idle": "2024-04-08T19:05:33.528700Z", - "shell.execute_reply": "2024-04-08T19:05:33.528208Z" + "iopub.execute_input": "2024-04-08T21:47:03.846355Z", + "iopub.status.busy": "2024-04-08T21:47:03.846183Z", + "iopub.status.idle": "2024-04-08T21:47:05.014972Z", + "shell.execute_reply": "2024-04-08T21:47:05.014384Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:33.531324Z", - "iopub.status.busy": "2024-04-08T19:05:33.530883Z", - "iopub.status.idle": "2024-04-08T19:05:33.533905Z", - "shell.execute_reply": "2024-04-08T19:05:33.533461Z" + "iopub.execute_input": "2024-04-08T21:47:05.017594Z", + "iopub.status.busy": "2024-04-08T21:47:05.017160Z", + "iopub.status.idle": "2024-04-08T21:47:05.020320Z", + "shell.execute_reply": "2024-04-08T21:47:05.019760Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.536089Z", - "iopub.status.busy": "2024-04-08T19:05:33.535766Z", - "iopub.status.idle": "2024-04-08T19:05:33.544759Z", - "shell.execute_reply": "2024-04-08T19:05:33.544339Z" + "iopub.execute_input": "2024-04-08T21:47:05.022528Z", + "iopub.status.busy": "2024-04-08T21:47:05.022111Z", + "iopub.status.idle": "2024-04-08T21:47:05.030785Z", + "shell.execute_reply": "2024-04-08T21:47:05.030251Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.546655Z", - "iopub.status.busy": "2024-04-08T19:05:33.546328Z", - "iopub.status.idle": "2024-04-08T19:05:33.551312Z", - "shell.execute_reply": "2024-04-08T19:05:33.550798Z" + "iopub.execute_input": "2024-04-08T21:47:05.032764Z", + "iopub.status.busy": "2024-04-08T21:47:05.032462Z", + "iopub.status.idle": "2024-04-08T21:47:05.037816Z", + "shell.execute_reply": "2024-04-08T21:47:05.037252Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.553494Z", - "iopub.status.busy": "2024-04-08T19:05:33.553202Z", - "iopub.status.idle": "2024-04-08T19:05:33.734474Z", - "shell.execute_reply": "2024-04-08T19:05:33.733871Z" + "iopub.execute_input": "2024-04-08T21:47:05.040234Z", + "iopub.status.busy": "2024-04-08T21:47:05.039770Z", + "iopub.status.idle": "2024-04-08T21:47:05.223875Z", + "shell.execute_reply": "2024-04-08T21:47:05.223263Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:33.736929Z", - "iopub.status.busy": "2024-04-08T19:05:33.736685Z", - "iopub.status.idle": "2024-04-08T19:05:34.103381Z", - "shell.execute_reply": "2024-04-08T19:05:34.102792Z" + "iopub.execute_input": "2024-04-08T21:47:05.226517Z", + "iopub.status.busy": "2024-04-08T21:47:05.226061Z", + "iopub.status.idle": "2024-04-08T21:47:05.599132Z", + "shell.execute_reply": "2024-04-08T21:47:05.598663Z" } }, "outputs": [ @@ -569,10 +569,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:34.105764Z", - "iopub.status.busy": "2024-04-08T19:05:34.105419Z", - "iopub.status.idle": "2024-04-08T19:05:34.129090Z", - "shell.execute_reply": "2024-04-08T19:05:34.128647Z" + "iopub.execute_input": "2024-04-08T21:47:05.601510Z", + "iopub.status.busy": "2024-04-08T21:47:05.601099Z", + "iopub.status.idle": "2024-04-08T21:47:05.624551Z", + "shell.execute_reply": "2024-04-08T21:47:05.623976Z" } }, "outputs": [], @@ -608,10 +608,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:34.131072Z", - "iopub.status.busy": "2024-04-08T19:05:34.130769Z", - "iopub.status.idle": "2024-04-08T19:05:34.141791Z", - "shell.execute_reply": "2024-04-08T19:05:34.141283Z" + "iopub.execute_input": "2024-04-08T21:47:05.626729Z", + "iopub.status.busy": "2024-04-08T21:47:05.626407Z", + 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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": "2024-04-08T19:05:35.838193Z", - "iopub.status.busy": "2024-04-08T19:05:35.838020Z", - "iopub.status.idle": "2024-04-08T19:05:35.852488Z", - "shell.execute_reply": "2024-04-08T19:05:35.852042Z" + "iopub.execute_input": "2024-04-08T21:47:07.391593Z", + "iopub.status.busy": "2024-04-08T21:47:07.391381Z", + "iopub.status.idle": "2024-04-08T21:47:07.406810Z", + "shell.execute_reply": 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null + "tooltip": null } }, - "ece75fa4a34244dc9e9c365738e7868a": { + "d46d94d436a84b2f95fd49145cafffaf": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1790,6 +1764,32 @@ "visibility": null, "width": null } + }, + "ee462a99228f44328125bb1bb160caaf": { + "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_5ae9c41d8dd8452faae9b9d02aed240c", + "max": 132.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_82f57933ecec4eb5a7d4cd8c9b23669e", + "tabbable": null, + "tooltip": null, + "value": 132.0 + } } }, "version_major": 2, diff --git a/master/tutorials/datalab/datalab_quickstart.html b/master/tutorials/datalab/datalab_quickstart.html index 27e4100ad..47ebe938a 100644 --- a/master/tutorials/datalab/datalab_quickstart.html +++ b/master/tutorials/datalab/datalab_quickstart.html @@ -881,7 +881,7 @@

    3. Get out-of-sample predicted probabilities from a classifier 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.
   warnings.warn(

    @@ -938,7 +938,7 @@

    4. Use Datalab to find issues in the dataset 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
   warnings.warn(
    diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb index f898d2d07..cc8684ece 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": "2024-04-08T19:05:38.472111Z", - "iopub.status.busy": "2024-04-08T19:05:38.471945Z", - "iopub.status.idle": "2024-04-08T19:05:39.585652Z", - "shell.execute_reply": "2024-04-08T19:05:39.585065Z" + "iopub.execute_input": "2024-04-08T21:47:10.095704Z", + "iopub.status.busy": "2024-04-08T21:47:10.095344Z", + "iopub.status.idle": "2024-04-08T21:47:11.259014Z", + "shell.execute_reply": "2024-04-08T21:47:11.258367Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:05:39.588303Z", - "iopub.status.busy": "2024-04-08T19:05:39.588056Z", - "iopub.status.idle": "2024-04-08T19:05:39.591474Z", - "shell.execute_reply": "2024-04-08T19:05:39.590968Z" + "iopub.execute_input": "2024-04-08T21:47:11.261676Z", + "iopub.status.busy": "2024-04-08T21:47:11.261389Z", + "iopub.status.idle": "2024-04-08T21:47:11.264583Z", + "shell.execute_reply": "2024-04-08T21:47:11.264112Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.593440Z", - "iopub.status.busy": "2024-04-08T19:05:39.593184Z", - "iopub.status.idle": "2024-04-08T19:05:39.602136Z", - "shell.execute_reply": "2024-04-08T19:05:39.601699Z" + "iopub.execute_input": "2024-04-08T21:47:11.266764Z", + "iopub.status.busy": "2024-04-08T21:47:11.266337Z", + "iopub.status.idle": "2024-04-08T21:47:11.275441Z", + "shell.execute_reply": "2024-04-08T21:47:11.274906Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.604078Z", - "iopub.status.busy": "2024-04-08T19:05:39.603759Z", - "iopub.status.idle": "2024-04-08T19:05:39.608027Z", - "shell.execute_reply": "2024-04-08T19:05:39.607640Z" + "iopub.execute_input": "2024-04-08T21:47:11.277319Z", + "iopub.status.busy": "2024-04-08T21:47:11.277011Z", + "iopub.status.idle": "2024-04-08T21:47:11.282210Z", + "shell.execute_reply": "2024-04-08T21:47:11.281648Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.609991Z", - "iopub.status.busy": "2024-04-08T19:05:39.609678Z", - "iopub.status.idle": "2024-04-08T19:05:39.789021Z", - "shell.execute_reply": "2024-04-08T19:05:39.788487Z" + "iopub.execute_input": "2024-04-08T21:47:11.284444Z", + "iopub.status.busy": "2024-04-08T21:47:11.284128Z", + "iopub.status.idle": "2024-04-08T21:47:11.475769Z", + "shell.execute_reply": "2024-04-08T21:47:11.475183Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:39.791556Z", - "iopub.status.busy": "2024-04-08T19:05:39.791137Z", - "iopub.status.idle": "2024-04-08T19:05:40.161861Z", - "shell.execute_reply": "2024-04-08T19:05:40.161278Z" + "iopub.execute_input": "2024-04-08T21:47:11.478198Z", + "iopub.status.busy": "2024-04-08T21:47:11.477866Z", + "iopub.status.idle": "2024-04-08T21:47:11.841699Z", + "shell.execute_reply": "2024-04-08T21:47:11.841089Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.164104Z", - "iopub.status.busy": "2024-04-08T19:05:40.163680Z", - "iopub.status.idle": "2024-04-08T19:05:40.166534Z", - "shell.execute_reply": "2024-04-08T19:05:40.165994Z" + "iopub.execute_input": "2024-04-08T21:47:11.843887Z", + "iopub.status.busy": "2024-04-08T21:47:11.843650Z", + "iopub.status.idle": "2024-04-08T21:47:11.846554Z", + "shell.execute_reply": "2024-04-08T21:47:11.846003Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.168465Z", - "iopub.status.busy": "2024-04-08T19:05:40.168160Z", - "iopub.status.idle": "2024-04-08T19:05:40.204106Z", - "shell.execute_reply": "2024-04-08T19:05:40.203573Z" + "iopub.execute_input": "2024-04-08T21:47:11.848818Z", + "iopub.status.busy": "2024-04-08T21:47:11.848482Z", + "iopub.status.idle": "2024-04-08T21:47:11.884903Z", + "shell.execute_reply": "2024-04-08T21:47:11.884311Z" } }, "outputs": [ @@ -613,7 +613,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 3 members, which is less than n_splits=5.\n", " warnings.warn(\n" ] } @@ -647,10 +647,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:40.206126Z", - "iopub.status.busy": "2024-04-08T19:05:40.205831Z", - "iopub.status.idle": "2024-04-08T19:05:41.861121Z", - "shell.execute_reply": "2024-04-08T19:05:41.860499Z" + "iopub.execute_input": "2024-04-08T21:47:11.887326Z", + "iopub.status.busy": "2024-04-08T21:47:11.886977Z", + "iopub.status.idle": "2024-04-08T21:47:13.612164Z", + "shell.execute_reply": "2024-04-08T21:47:13.611468Z" } }, "outputs": [ @@ -688,7 +688,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -711,10 +711,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.863740Z", - "iopub.status.busy": "2024-04-08T19:05:41.863237Z", - "iopub.status.idle": "2024-04-08T19:05:41.882767Z", - "shell.execute_reply": "2024-04-08T19:05:41.882319Z" + "iopub.execute_input": "2024-04-08T21:47:13.614733Z", + "iopub.status.busy": "2024-04-08T21:47:13.614125Z", + "iopub.status.idle": "2024-04-08T21:47:13.633970Z", + "shell.execute_reply": "2024-04-08T21:47:13.633488Z" } }, "outputs": [ @@ -842,10 +842,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.884850Z", - "iopub.status.busy": "2024-04-08T19:05:41.884544Z", - "iopub.status.idle": "2024-04-08T19:05:41.890743Z", - "shell.execute_reply": "2024-04-08T19:05:41.890221Z" + "iopub.execute_input": "2024-04-08T21:47:13.636314Z", + "iopub.status.busy": "2024-04-08T21:47:13.636020Z", + "iopub.status.idle": "2024-04-08T21:47:13.642889Z", + "shell.execute_reply": "2024-04-08T21:47:13.642292Z" } }, "outputs": [ @@ -956,10 +956,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.892670Z", - "iopub.status.busy": "2024-04-08T19:05:41.892376Z", - "iopub.status.idle": "2024-04-08T19:05:41.897724Z", - "shell.execute_reply": "2024-04-08T19:05:41.897233Z" + "iopub.execute_input": "2024-04-08T21:47:13.645278Z", + "iopub.status.busy": "2024-04-08T21:47:13.645054Z", + "iopub.status.idle": "2024-04-08T21:47:13.651206Z", + "shell.execute_reply": "2024-04-08T21:47:13.650653Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.899726Z", - "iopub.status.busy": "2024-04-08T19:05:41.899419Z", - "iopub.status.idle": "2024-04-08T19:05:41.909317Z", - "shell.execute_reply": "2024-04-08T19:05:41.908907Z" + "iopub.execute_input": "2024-04-08T21:47:13.653923Z", + "iopub.status.busy": "2024-04-08T21:47:13.653395Z", + "iopub.status.idle": "2024-04-08T21:47:13.664569Z", + "shell.execute_reply": "2024-04-08T21:47:13.664034Z" } }, "outputs": [ @@ -1221,10 +1221,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.911355Z", - "iopub.status.busy": "2024-04-08T19:05:41.911042Z", - "iopub.status.idle": "2024-04-08T19:05:41.919704Z", - "shell.execute_reply": "2024-04-08T19:05:41.919301Z" + "iopub.execute_input": "2024-04-08T21:47:13.667793Z", + "iopub.status.busy": "2024-04-08T21:47:13.667305Z", + "iopub.status.idle": "2024-04-08T21:47:13.677997Z", + "shell.execute_reply": "2024-04-08T21:47:13.677410Z" } }, "outputs": [ @@ -1340,10 +1340,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.921572Z", - "iopub.status.busy": "2024-04-08T19:05:41.921400Z", - "iopub.status.idle": "2024-04-08T19:05:41.928223Z", - "shell.execute_reply": "2024-04-08T19:05:41.927710Z" + "iopub.execute_input": "2024-04-08T21:47:13.680519Z", + "iopub.status.busy": "2024-04-08T21:47:13.680342Z", + "iopub.status.idle": "2024-04-08T21:47:13.687707Z", + "shell.execute_reply": "2024-04-08T21:47:13.687174Z" }, "scrolled": true }, @@ -1468,10 +1468,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:41.930139Z", - "iopub.status.busy": "2024-04-08T19:05:41.929966Z", - "iopub.status.idle": "2024-04-08T19:05:41.939155Z", - "shell.execute_reply": "2024-04-08T19:05:41.938682Z" + "iopub.execute_input": "2024-04-08T21:47:13.690113Z", + "iopub.status.busy": "2024-04-08T21:47:13.689806Z", + "iopub.status.idle": "2024-04-08T21:47:13.700432Z", + "shell.execute_reply": "2024-04-08T21:47:13.699847Z" } }, "outputs": [ @@ -1586,7 +1586,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "vscode": { "interpreter": { diff --git a/master/tutorials/datalab/image.html b/master/tutorials/datalab/image.html index d990358da..365f604a6 100644 --- a/master/tutorials/datalab/image.html +++ b/master/tutorials/datalab/image.html @@ -694,21 +694,59 @@

    2. Fetch and normalize the Fashion-MNIST dataset 
    -Downloading data: 100%|██████████| 30.9M/30.9M [00:00<00:00, 44.8MB/s]
-Downloading data: 100%|██████████| 5.18M/5.18M [00:00<00:00, 24.7MB/s]
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/datasets/load.py:1461: FutureWarning: The repository for fashion_mnist contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/fashion_mnist
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
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    2. Fetch and normalize the Fashion-MNIST dataset
    -
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    Convert the transformed dataset to a torch dataset. Torch datasets are more efficient with dataloading in practice.

    @@ -1012,8 +1050,8 @@

    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: 4.943
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.606
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.790
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.535
 Computing feature embeddings ...

    @@ -1021,7 +1059,7 @@

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

    -
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    5. Compute out-of-sample predicted probabilities and feature embeddings
     
 Training on fold: 2 ...
-epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.715
-epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.438
+epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.017
+epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.546
 Computing feature embeddings ...

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

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    5. Compute out-of-sample predicted probabilities and feature embeddings
     
 Training on fold: 3 ...
-epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.569
-epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.479
+epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.825
+epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.550
 Computing feature embeddings ...

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

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    7. Use cleanlab to find issues 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
   warnings.warn(

    @@ -1171,7 +1209,7 @@

    7. Use cleanlab to find issues
    -
    +
    @@ -2003,35 +2041,35 @@

    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 +2097,7 @@

    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 e5222c4f6..7bd202343 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": "2024-04-08T19:05:44.455598Z", - "iopub.status.busy": "2024-04-08T19:05:44.455183Z", - "iopub.status.idle": "2024-04-08T19:05:47.311029Z", - "shell.execute_reply": "2024-04-08T19:05:47.310392Z" + "iopub.execute_input": "2024-04-08T21:47:16.566734Z", + "iopub.status.busy": "2024-04-08T21:47:16.566240Z", + "iopub.status.idle": "2024-04-08T21:47:19.469564Z", + "shell.execute_reply": "2024-04-08T21:47:19.469001Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:47.313575Z", - "iopub.status.busy": "2024-04-08T19:05:47.313285Z", - "iopub.status.idle": "2024-04-08T19:05:47.317021Z", - "shell.execute_reply": "2024-04-08T19:05:47.316573Z" + "iopub.execute_input": "2024-04-08T21:47:19.472242Z", + "iopub.status.busy": "2024-04-08T21:47:19.471767Z", + "iopub.status.idle": "2024-04-08T21:47:19.475393Z", + "shell.execute_reply": "2024-04-08T21:47:19.474949Z" } }, "outputs": [], @@ -152,10 +152,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:05:47.319045Z", - "iopub.status.busy": "2024-04-08T19:05:47.318749Z", - "iopub.status.idle": "2024-04-08T19:06:52.995269Z", - "shell.execute_reply": "2024-04-08T19:06:52.994727Z" + "iopub.execute_input": "2024-04-08T21:47:19.477575Z", + "iopub.status.busy": "2024-04-08T21:47:19.477256Z", + "iopub.status.idle": "2024-04-08T21:47:34.371529Z", + "shell.execute_reply": "2024-04-08T21:47:34.371021Z" } }, "outputs": [ @@ -163,84 +163,100 @@ "name": "stderr", "output_type": "stream", "text": [ - "\r", - "Downloading data: 0%| | 0.00/30.9M [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", "

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    5. Use cleanlab to find label issues 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
   warnings.warn(

    diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index 763870823..9b27268b0 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": "2024-04-08T19:11:39.427663Z", - "iopub.status.busy": "2024-04-08T19:11:39.427246Z", - "iopub.status.idle": "2024-04-08T19:11:40.493201Z", - "shell.execute_reply": "2024-04-08T19:11:40.492649Z" + "iopub.execute_input": "2024-04-08T21:52:07.150619Z", + "iopub.status.busy": "2024-04-08T21:52:07.150453Z", + "iopub.status.idle": "2024-04-08T21:52:08.223701Z", + "shell.execute_reply": "2024-04-08T21:52:08.223074Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:11:40.495661Z", - "iopub.status.busy": "2024-04-08T19:11:40.495382Z", - "iopub.status.idle": "2024-04-08T19:11:40.513938Z", - "shell.execute_reply": "2024-04-08T19:11:40.513525Z" + "iopub.execute_input": "2024-04-08T21:52:08.226562Z", + "iopub.status.busy": "2024-04-08T21:52:08.226022Z", + "iopub.status.idle": "2024-04-08T21:52:08.244493Z", + "shell.execute_reply": "2024-04-08T21:52:08.244070Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.515940Z", - "iopub.status.busy": "2024-04-08T19:11:40.515700Z", - "iopub.status.idle": "2024-04-08T19:11:40.560958Z", - "shell.execute_reply": "2024-04-08T19:11:40.560524Z" + "iopub.execute_input": "2024-04-08T21:52:08.246664Z", + "iopub.status.busy": "2024-04-08T21:52:08.246284Z", + "iopub.status.idle": "2024-04-08T21:52:08.274975Z", + "shell.execute_reply": "2024-04-08T21:52:08.274428Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.562932Z", - "iopub.status.busy": "2024-04-08T19:11:40.562610Z", - "iopub.status.idle": "2024-04-08T19:11:40.566002Z", - "shell.execute_reply": "2024-04-08T19:11:40.565577Z" + "iopub.execute_input": "2024-04-08T21:52:08.277126Z", + "iopub.status.busy": "2024-04-08T21:52:08.276731Z", + "iopub.status.idle": "2024-04-08T21:52:08.280143Z", + "shell.execute_reply": "2024-04-08T21:52:08.279662Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.567900Z", - "iopub.status.busy": "2024-04-08T19:11:40.567583Z", - "iopub.status.idle": "2024-04-08T19:11:40.574730Z", - "shell.execute_reply": "2024-04-08T19:11:40.574279Z" + "iopub.execute_input": "2024-04-08T21:52:08.282096Z", + "iopub.status.busy": "2024-04-08T21:52:08.281805Z", + "iopub.status.idle": "2024-04-08T21:52:08.289175Z", + "shell.execute_reply": "2024-04-08T21:52:08.288644Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.576667Z", - "iopub.status.busy": "2024-04-08T19:11:40.576404Z", - "iopub.status.idle": "2024-04-08T19:11:40.578794Z", - "shell.execute_reply": "2024-04-08T19:11:40.578358Z" + "iopub.execute_input": "2024-04-08T21:52:08.291505Z", + "iopub.status.busy": "2024-04-08T21:52:08.291173Z", + "iopub.status.idle": "2024-04-08T21:52:08.294219Z", + "shell.execute_reply": "2024-04-08T21:52:08.293788Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:40.580843Z", - "iopub.status.busy": "2024-04-08T19:11:40.580536Z", - "iopub.status.idle": "2024-04-08T19:11:43.565419Z", - "shell.execute_reply": "2024-04-08T19:11:43.564907Z" + "iopub.execute_input": "2024-04-08T21:52:08.296328Z", + "iopub.status.busy": "2024-04-08T21:52:08.295995Z", + "iopub.status.idle": "2024-04-08T21:52:11.222567Z", + "shell.execute_reply": "2024-04-08T21:52:11.221929Z" } }, "outputs": [], @@ -402,10 +402,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:43.568043Z", - "iopub.status.busy": "2024-04-08T19:11:43.567842Z", - "iopub.status.idle": "2024-04-08T19:11:43.577436Z", - "shell.execute_reply": "2024-04-08T19:11:43.577042Z" + "iopub.execute_input": "2024-04-08T21:52:11.225452Z", + "iopub.status.busy": "2024-04-08T21:52:11.224989Z", + "iopub.status.idle": "2024-04-08T21:52:11.234228Z", + "shell.execute_reply": "2024-04-08T21:52:11.233769Z" } }, "outputs": [], @@ -437,10 +437,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:43.579441Z", - "iopub.status.busy": "2024-04-08T19:11:43.579134Z", - "iopub.status.idle": "2024-04-08T19:11:45.292514Z", - "shell.execute_reply": "2024-04-08T19:11:45.291914Z" + "iopub.execute_input": "2024-04-08T21:52:11.236385Z", + "iopub.status.busy": "2024-04-08T21:52:11.236010Z", + "iopub.status.idle": "2024-04-08T21:52:12.934764Z", + "shell.execute_reply": "2024-04-08T21:52:12.934166Z" } }, "outputs": [ @@ -468,7 +468,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -485,10 +485,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.296728Z", - "iopub.status.busy": "2024-04-08T19:11:45.295425Z", - "iopub.status.idle": "2024-04-08T19:11:45.320295Z", - "shell.execute_reply": "2024-04-08T19:11:45.319812Z" + "iopub.execute_input": "2024-04-08T21:52:12.937827Z", + "iopub.status.busy": "2024-04-08T21:52:12.937063Z", + "iopub.status.idle": "2024-04-08T21:52:12.959960Z", + "shell.execute_reply": "2024-04-08T21:52:12.959474Z" }, "scrolled": true }, @@ -613,10 +613,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.323669Z", - "iopub.status.busy": "2024-04-08T19:11:45.322766Z", - "iopub.status.idle": "2024-04-08T19:11:45.333647Z", - "shell.execute_reply": "2024-04-08T19:11:45.333187Z" + "iopub.execute_input": "2024-04-08T21:52:12.962291Z", + "iopub.status.busy": "2024-04-08T21:52:12.961921Z", + "iopub.status.idle": "2024-04-08T21:52:12.970867Z", + "shell.execute_reply": "2024-04-08T21:52:12.970359Z" } }, "outputs": [ @@ -720,10 +720,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.336997Z", - "iopub.status.busy": "2024-04-08T19:11:45.336094Z", - "iopub.status.idle": "2024-04-08T19:11:45.348729Z", - "shell.execute_reply": "2024-04-08T19:11:45.348256Z" + "iopub.execute_input": "2024-04-08T21:52:12.973159Z", + "iopub.status.busy": "2024-04-08T21:52:12.972786Z", + "iopub.status.idle": "2024-04-08T21:52:12.983332Z", + "shell.execute_reply": "2024-04-08T21:52:12.982832Z" } }, "outputs": [ @@ -852,10 +852,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.352087Z", - "iopub.status.busy": "2024-04-08T19:11:45.351199Z", - "iopub.status.idle": "2024-04-08T19:11:45.362031Z", - "shell.execute_reply": "2024-04-08T19:11:45.361569Z" + "iopub.execute_input": "2024-04-08T21:52:12.985662Z", + "iopub.status.busy": "2024-04-08T21:52:12.985290Z", + "iopub.status.idle": "2024-04-08T21:52:12.994136Z", + "shell.execute_reply": "2024-04-08T21:52:12.993656Z" } }, "outputs": [ @@ -969,10 +969,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.365401Z", - "iopub.status.busy": "2024-04-08T19:11:45.364508Z", - "iopub.status.idle": "2024-04-08T19:11:45.376129Z", - "shell.execute_reply": "2024-04-08T19:11:45.375592Z" + "iopub.execute_input": "2024-04-08T21:52:12.996453Z", + "iopub.status.busy": "2024-04-08T21:52:12.996091Z", + "iopub.status.idle": "2024-04-08T21:52:13.007173Z", + "shell.execute_reply": "2024-04-08T21:52:13.006680Z" } }, "outputs": [ @@ -1083,10 +1083,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.378395Z", - "iopub.status.busy": "2024-04-08T19:11:45.378081Z", - "iopub.status.idle": "2024-04-08T19:11:45.384257Z", - "shell.execute_reply": "2024-04-08T19:11:45.383732Z" + "iopub.execute_input": "2024-04-08T21:52:13.010554Z", + "iopub.status.busy": "2024-04-08T21:52:13.009652Z", + "iopub.status.idle": "2024-04-08T21:52:13.018412Z", + "shell.execute_reply": "2024-04-08T21:52:13.018001Z" } }, "outputs": [ @@ -1170,10 +1170,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.386145Z", - "iopub.status.busy": "2024-04-08T19:11:45.385969Z", - "iopub.status.idle": "2024-04-08T19:11:45.392100Z", - "shell.execute_reply": "2024-04-08T19:11:45.391633Z" + "iopub.execute_input": "2024-04-08T21:52:13.020519Z", + "iopub.status.busy": "2024-04-08T21:52:13.020174Z", + "iopub.status.idle": "2024-04-08T21:52:13.026633Z", + "shell.execute_reply": "2024-04-08T21:52:13.026214Z" } }, "outputs": [ @@ -1266,10 +1266,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:45.394135Z", - "iopub.status.busy": "2024-04-08T19:11:45.393818Z", - "iopub.status.idle": "2024-04-08T19:11:45.399861Z", - "shell.execute_reply": "2024-04-08T19:11:45.399452Z" + "iopub.execute_input": "2024-04-08T21:52:13.028931Z", + "iopub.status.busy": "2024-04-08T21:52:13.028762Z", + "iopub.status.idle": "2024-04-08T21:52:13.035902Z", + "shell.execute_reply": "2024-04-08T21:52:13.035334Z" }, "nbsphinx": "hidden" }, @@ -1320,7 +1320,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index ebf450e28..ed81ae4a6 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', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'cancel_transfer', 'getting_spare_card', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'card_about_to_expire'}
+Classes: {'getting_spare_card', 'card_about_to_expire', 'change_pin', 'cancel_transfer', 'visa_or_mastercard', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}

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

    @@ -806,7 +806,7 @@

    2. Load and format the text dataset 
     No sentence-transformers model found with name /home/runner/.cache/torch/sentence_transformers/google_electra-small-discriminator. Creating a new one with MEAN pooling.
-/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   return self.fget.__get__(instance, owner)()
    @@ -872,7 +872,7 @@

    4. Use cleanlab to find issues in your dataset 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
   warnings.warn(
    diff --git a/master/tutorials/datalab/text.ipynb b/master/tutorials/datalab/text.ipynb index cdfc50478..68772ba11 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": "2024-04-08T19:11:47.873795Z", - "iopub.status.busy": "2024-04-08T19:11:47.873616Z", - "iopub.status.idle": "2024-04-08T19:11:50.509546Z", - "shell.execute_reply": "2024-04-08T19:11:50.508929Z" + "iopub.execute_input": "2024-04-08T21:52:15.635095Z", + "iopub.status.busy": "2024-04-08T21:52:15.634936Z", + "iopub.status.idle": "2024-04-08T21:52:18.199131Z", + "shell.execute_reply": "2024-04-08T21:52:18.198595Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:11:50.512202Z", - "iopub.status.busy": "2024-04-08T19:11:50.511881Z", - "iopub.status.idle": "2024-04-08T19:11:50.515413Z", - "shell.execute_reply": "2024-04-08T19:11:50.514847Z" + "iopub.execute_input": "2024-04-08T21:52:18.201615Z", + "iopub.status.busy": "2024-04-08T21:52:18.201329Z", + "iopub.status.idle": "2024-04-08T21:52:18.204631Z", + "shell.execute_reply": "2024-04-08T21:52:18.204195Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.517389Z", - "iopub.status.busy": "2024-04-08T19:11:50.517121Z", - "iopub.status.idle": "2024-04-08T19:11:50.520136Z", - "shell.execute_reply": "2024-04-08T19:11:50.519721Z" + "iopub.execute_input": "2024-04-08T21:52:18.206585Z", + "iopub.status.busy": "2024-04-08T21:52:18.206242Z", + "iopub.status.idle": "2024-04-08T21:52:18.209410Z", + "shell.execute_reply": "2024-04-08T21:52:18.208877Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.522130Z", - "iopub.status.busy": "2024-04-08T19:11:50.521805Z", - "iopub.status.idle": "2024-04-08T19:11:50.573099Z", - "shell.execute_reply": "2024-04-08T19:11:50.572633Z" + "iopub.execute_input": "2024-04-08T21:52:18.211474Z", + "iopub.status.busy": "2024-04-08T21:52:18.211050Z", + "iopub.status.idle": "2024-04-08T21:52:18.235630Z", + "shell.execute_reply": "2024-04-08T21:52:18.235102Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.575235Z", - "iopub.status.busy": "2024-04-08T19:11:50.574826Z", - "iopub.status.idle": "2024-04-08T19:11:50.578661Z", - "shell.execute_reply": "2024-04-08T19:11:50.578198Z" + "iopub.execute_input": "2024-04-08T21:52:18.237655Z", + "iopub.status.busy": "2024-04-08T21:52:18.237347Z", + "iopub.status.idle": "2024-04-08T21:52:18.241014Z", + "shell.execute_reply": "2024-04-08T21:52:18.240483Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'change_pin', 'cancel_transfer', 'getting_spare_card', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'card_about_to_expire'}\n" + "Classes: {'getting_spare_card', 'card_about_to_expire', 'change_pin', 'cancel_transfer', 'visa_or_mastercard', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'apple_pay_or_google_pay'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.580716Z", - "iopub.status.busy": "2024-04-08T19:11:50.580386Z", - "iopub.status.idle": "2024-04-08T19:11:50.583329Z", - "shell.execute_reply": "2024-04-08T19:11:50.582809Z" + "iopub.execute_input": "2024-04-08T21:52:18.243010Z", + "iopub.status.busy": "2024-04-08T21:52:18.242645Z", + "iopub.status.idle": "2024-04-08T21:52:18.245817Z", + "shell.execute_reply": "2024-04-08T21:52:18.245289Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:50.585157Z", - "iopub.status.busy": "2024-04-08T19:11:50.584978Z", - "iopub.status.idle": "2024-04-08T19:11:54.999343Z", - "shell.execute_reply": "2024-04-08T19:11:54.998804Z" + "iopub.execute_input": "2024-04-08T21:52:18.247927Z", + "iopub.status.busy": "2024-04-08T21:52:18.247546Z", + "iopub.status.idle": "2024-04-08T21:52:21.805036Z", + "shell.execute_reply": "2024-04-08T21:52:21.804395Z" } }, "outputs": [ @@ -383,7 +383,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\n", " return self.fget.__get__(instance, owner)()\n" ] } @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.002005Z", - "iopub.status.busy": "2024-04-08T19:11:55.001591Z", - "iopub.status.idle": "2024-04-08T19:11:55.890538Z", - "shell.execute_reply": "2024-04-08T19:11:55.889962Z" + "iopub.execute_input": "2024-04-08T21:52:21.807692Z", + "iopub.status.busy": "2024-04-08T21:52:21.807502Z", + "iopub.status.idle": "2024-04-08T21:52:22.722788Z", + "shell.execute_reply": "2024-04-08T21:52:22.722220Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.893249Z", - "iopub.status.busy": "2024-04-08T19:11:55.892862Z", - "iopub.status.idle": "2024-04-08T19:11:55.895882Z", - "shell.execute_reply": "2024-04-08T19:11:55.895415Z" + "iopub.execute_input": "2024-04-08T21:52:22.725502Z", + "iopub.status.busy": "2024-04-08T21:52:22.725131Z", + "iopub.status.idle": "2024-04-08T21:52:22.728139Z", + "shell.execute_reply": "2024-04-08T21:52:22.727657Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:55.898149Z", - "iopub.status.busy": "2024-04-08T19:11:55.897768Z", - "iopub.status.idle": "2024-04-08T19:11:57.484712Z", - "shell.execute_reply": "2024-04-08T19:11:57.482845Z" + "iopub.execute_input": "2024-04-08T21:52:22.730441Z", + "iopub.status.busy": "2024-04-08T21:52:22.730051Z", + "iopub.status.idle": "2024-04-08T21:52:24.235608Z", + "shell.execute_reply": "2024-04-08T21:52:24.235008Z" }, "scrolled": true }, @@ -516,7 +516,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -538,10 +538,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.489057Z", - "iopub.status.busy": "2024-04-08T19:11:57.487744Z", - "iopub.status.idle": "2024-04-08T19:11:57.513599Z", - "shell.execute_reply": "2024-04-08T19:11:57.513105Z" + "iopub.execute_input": "2024-04-08T21:52:24.238579Z", + "iopub.status.busy": "2024-04-08T21:52:24.237797Z", + "iopub.status.idle": "2024-04-08T21:52:24.261361Z", + "shell.execute_reply": "2024-04-08T21:52:24.260879Z" }, "scrolled": true }, @@ -666,10 +666,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.517153Z", - "iopub.status.busy": "2024-04-08T19:11:57.516242Z", - "iopub.status.idle": "2024-04-08T19:11:57.527834Z", - "shell.execute_reply": "2024-04-08T19:11:57.527359Z" + "iopub.execute_input": "2024-04-08T21:52:24.264563Z", + "iopub.status.busy": "2024-04-08T21:52:24.263513Z", + "iopub.status.idle": "2024-04-08T21:52:24.275189Z", + "shell.execute_reply": "2024-04-08T21:52:24.274666Z" }, "scrolled": true }, @@ -779,10 +779,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.531248Z", - "iopub.status.busy": "2024-04-08T19:11:57.530335Z", - "iopub.status.idle": "2024-04-08T19:11:57.536787Z", - "shell.execute_reply": "2024-04-08T19:11:57.536230Z" + "iopub.execute_input": "2024-04-08T21:52:24.278666Z", + "iopub.status.busy": "2024-04-08T21:52:24.277755Z", + "iopub.status.idle": "2024-04-08T21:52:24.284253Z", + "shell.execute_reply": "2024-04-08T21:52:24.283764Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.538876Z", - "iopub.status.busy": "2024-04-08T19:11:57.538699Z", - "iopub.status.idle": "2024-04-08T19:11:57.546063Z", - "shell.execute_reply": "2024-04-08T19:11:57.545305Z" + "iopub.execute_input": "2024-04-08T21:52:24.287468Z", + "iopub.status.busy": "2024-04-08T21:52:24.286748Z", + "iopub.status.idle": "2024-04-08T21:52:24.293548Z", + "shell.execute_reply": "2024-04-08T21:52:24.293108Z" } }, "outputs": [ @@ -940,10 +940,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.548261Z", - "iopub.status.busy": "2024-04-08T19:11:57.547854Z", - "iopub.status.idle": "2024-04-08T19:11:57.554234Z", - "shell.execute_reply": "2024-04-08T19:11:57.553695Z" + "iopub.execute_input": "2024-04-08T21:52:24.295474Z", + "iopub.status.busy": "2024-04-08T21:52:24.295152Z", + "iopub.status.idle": "2024-04-08T21:52:24.301318Z", + "shell.execute_reply": "2024-04-08T21:52:24.300855Z" } }, "outputs": [ @@ -1026,10 +1026,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.556102Z", - "iopub.status.busy": "2024-04-08T19:11:57.555808Z", - "iopub.status.idle": "2024-04-08T19:11:57.561366Z", - "shell.execute_reply": "2024-04-08T19:11:57.560849Z" + "iopub.execute_input": "2024-04-08T21:52:24.303288Z", + "iopub.status.busy": "2024-04-08T21:52:24.302901Z", + "iopub.status.idle": "2024-04-08T21:52:24.308584Z", + "shell.execute_reply": "2024-04-08T21:52:24.308040Z" } }, "outputs": [ @@ -1137,10 +1137,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.563375Z", - "iopub.status.busy": "2024-04-08T19:11:57.563066Z", - "iopub.status.idle": "2024-04-08T19:11:57.571545Z", - "shell.execute_reply": "2024-04-08T19:11:57.571096Z" + "iopub.execute_input": "2024-04-08T21:52:24.310530Z", + "iopub.status.busy": "2024-04-08T21:52:24.310234Z", + "iopub.status.idle": "2024-04-08T21:52:24.318523Z", + "shell.execute_reply": "2024-04-08T21:52:24.317991Z" } }, "outputs": [ @@ -1251,10 +1251,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.573469Z", - "iopub.status.busy": "2024-04-08T19:11:57.573151Z", - "iopub.status.idle": "2024-04-08T19:11:57.578415Z", - "shell.execute_reply": "2024-04-08T19:11:57.577995Z" + "iopub.execute_input": "2024-04-08T21:52:24.320594Z", + "iopub.status.busy": "2024-04-08T21:52:24.320177Z", + "iopub.status.idle": "2024-04-08T21:52:24.325249Z", + "shell.execute_reply": "2024-04-08T21:52:24.324830Z" } }, "outputs": [ @@ -1322,10 +1322,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.580309Z", - "iopub.status.busy": "2024-04-08T19:11:57.579985Z", - "iopub.status.idle": "2024-04-08T19:11:57.585107Z", - "shell.execute_reply": "2024-04-08T19:11:57.584704Z" + "iopub.execute_input": "2024-04-08T21:52:24.327414Z", + "iopub.status.busy": "2024-04-08T21:52:24.326899Z", + "iopub.status.idle": "2024-04-08T21:52:24.332073Z", + "shell.execute_reply": "2024-04-08T21:52:24.331655Z" } }, "outputs": [ @@ -1404,10 +1404,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.587089Z", - "iopub.status.busy": "2024-04-08T19:11:57.586774Z", - "iopub.status.idle": "2024-04-08T19:11:57.590241Z", - "shell.execute_reply": "2024-04-08T19:11:57.589704Z" + "iopub.execute_input": "2024-04-08T21:52:24.334102Z", + "iopub.status.busy": "2024-04-08T21:52:24.333715Z", + "iopub.status.idle": "2024-04-08T21:52:24.337300Z", + "shell.execute_reply": "2024-04-08T21:52:24.336756Z" } }, "outputs": [ @@ -1455,10 +1455,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:11:57.592302Z", - "iopub.status.busy": "2024-04-08T19:11:57.591981Z", - "iopub.status.idle": "2024-04-08T19:11:57.597076Z", - "shell.execute_reply": "2024-04-08T19:11:57.596530Z" + "iopub.execute_input": "2024-04-08T21:52:24.339310Z", + "iopub.status.busy": "2024-04-08T21:52:24.338988Z", + "iopub.status.idle": "2024-04-08T21:52:24.343727Z", + "shell.execute_reply": "2024-04-08T21:52:24.343284Z" }, "nbsphinx": "hidden" }, @@ -1503,7 +1503,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index 8386c499c..44ea2cb8f 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": "2024-04-08T19:12:00.906624Z", - "iopub.status.busy": "2024-04-08T19:12:00.906269Z", - "iopub.status.idle": "2024-04-08T19:12:02.013278Z", - "shell.execute_reply": "2024-04-08T19:12:02.012738Z" + "iopub.execute_input": "2024-04-08T21:52:27.396340Z", + "iopub.status.busy": "2024-04-08T21:52:27.395983Z", + "iopub.status.idle": "2024-04-08T21:52:28.459980Z", + "shell.execute_reply": "2024-04-08T21:52:28.459347Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:02.015823Z", - "iopub.status.busy": "2024-04-08T19:12:02.015525Z", - "iopub.status.idle": "2024-04-08T19:12:02.018326Z", - "shell.execute_reply": "2024-04-08T19:12:02.017864Z" + "iopub.execute_input": "2024-04-08T21:52:28.462853Z", + "iopub.status.busy": "2024-04-08T21:52:28.462320Z", + "iopub.status.idle": "2024-04-08T21:52:28.465069Z", + "shell.execute_reply": "2024-04-08T21:52:28.464644Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:02.020260Z", - "iopub.status.busy": "2024-04-08T19:12:02.020087Z", - "iopub.status.idle": "2024-04-08T19:12:02.032329Z", - "shell.execute_reply": "2024-04-08T19:12:02.031881Z" + "iopub.execute_input": "2024-04-08T21:52:28.467215Z", + "iopub.status.busy": "2024-04-08T21:52:28.467023Z", + "iopub.status.idle": "2024-04-08T21:52:28.478907Z", + "shell.execute_reply": "2024-04-08T21:52:28.478417Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:02.034317Z", - "iopub.status.busy": "2024-04-08T19:12:02.034142Z", - "iopub.status.idle": "2024-04-08T19:12:10.633860Z", - "shell.execute_reply": "2024-04-08T19:12:10.633305Z" + "iopub.execute_input": "2024-04-08T21:52:28.481053Z", + "iopub.status.busy": "2024-04-08T21:52:28.480659Z", + "iopub.status.idle": "2024-04-08T21:52:31.721969Z", + "shell.execute_reply": "2024-04-08T21:52:31.721378Z" }, "id": "dhTHOg8Pyv5G" }, @@ -692,13 +692,7 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\n", "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", @@ -3102,7 +3096,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 1383c5dd4..cdd77a829 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_7838/1995098996.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_7797/1995098996.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 @@

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

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

    diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index 35b51f794..c75207e1f 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:12.681561Z", - "iopub.status.busy": "2024-04-08T19:12:12.681389Z", - "iopub.status.idle": "2024-04-08T19:12:13.734405Z", - "shell.execute_reply": "2024-04-08T19:12:13.733868Z" + "iopub.execute_input": "2024-04-08T21:52:33.885421Z", + "iopub.status.busy": "2024-04-08T21:52:33.884937Z", + "iopub.status.idle": "2024-04-08T21:52:34.964557Z", + "shell.execute_reply": "2024-04-08T21:52:34.963918Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:13.737231Z", - "iopub.status.busy": "2024-04-08T19:12:13.736791Z", - "iopub.status.idle": "2024-04-08T19:12:13.740148Z", - "shell.execute_reply": "2024-04-08T19:12:13.739710Z" + "iopub.execute_input": "2024-04-08T21:52:34.967491Z", + "iopub.status.busy": "2024-04-08T21:52:34.967024Z", + "iopub.status.idle": "2024-04-08T21:52:34.970255Z", + "shell.execute_reply": "2024-04-08T21:52:34.969814Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:13.742187Z", - "iopub.status.busy": "2024-04-08T19:12:13.741855Z", - "iopub.status.idle": "2024-04-08T19:12:16.687217Z", - "shell.execute_reply": "2024-04-08T19:12:16.686507Z" + "iopub.execute_input": "2024-04-08T21:52:34.972270Z", + "iopub.status.busy": "2024-04-08T21:52:34.971963Z", + "iopub.status.idle": "2024-04-08T21:52:37.922130Z", + "shell.execute_reply": "2024-04-08T21:52:37.921514Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.690229Z", - "iopub.status.busy": "2024-04-08T19:12:16.689558Z", - "iopub.status.idle": "2024-04-08T19:12:16.723065Z", - "shell.execute_reply": "2024-04-08T19:12:16.722493Z" + "iopub.execute_input": "2024-04-08T21:52:37.925130Z", + "iopub.status.busy": "2024-04-08T21:52:37.924469Z", + "iopub.status.idle": "2024-04-08T21:52:37.957928Z", + "shell.execute_reply": "2024-04-08T21:52:37.957355Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.725574Z", - "iopub.status.busy": "2024-04-08T19:12:16.725213Z", - "iopub.status.idle": "2024-04-08T19:12:16.748633Z", - "shell.execute_reply": "2024-04-08T19:12:16.748076Z" + "iopub.execute_input": "2024-04-08T21:52:37.960493Z", + "iopub.status.busy": "2024-04-08T21:52:37.960191Z", + "iopub.status.idle": "2024-04-08T21:52:37.990903Z", + "shell.execute_reply": "2024-04-08T21:52:37.990272Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.751185Z", - "iopub.status.busy": "2024-04-08T19:12:16.750822Z", - "iopub.status.idle": "2024-04-08T19:12:16.753746Z", - "shell.execute_reply": "2024-04-08T19:12:16.753306Z" + "iopub.execute_input": "2024-04-08T21:52:37.993720Z", + "iopub.status.busy": "2024-04-08T21:52:37.993247Z", + "iopub.status.idle": "2024-04-08T21:52:37.996395Z", + "shell.execute_reply": "2024-04-08T21:52:37.995970Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.755833Z", - "iopub.status.busy": "2024-04-08T19:12:16.755526Z", - "iopub.status.idle": "2024-04-08T19:12:16.758525Z", - "shell.execute_reply": "2024-04-08T19:12:16.758102Z" + "iopub.execute_input": "2024-04-08T21:52:37.998486Z", + "iopub.status.busy": "2024-04-08T21:52:37.998101Z", + "iopub.status.idle": "2024-04-08T21:52:38.000692Z", + "shell.execute_reply": "2024-04-08T21:52:38.000253Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.760530Z", - "iopub.status.busy": "2024-04-08T19:12:16.760254Z", - "iopub.status.idle": "2024-04-08T19:12:16.783193Z", - "shell.execute_reply": "2024-04-08T19:12:16.782688Z" + "iopub.execute_input": "2024-04-08T21:52:38.002914Z", + "iopub.status.busy": "2024-04-08T21:52:38.002511Z", + "iopub.status.idle": "2024-04-08T21:52:38.026371Z", + "shell.execute_reply": "2024-04-08T21:52:38.025790Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6a6240bb0ab443d38a48eadee74f3ae2", + "model_id": "ee395a85c9664de6802a8e4fa965580e", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9a5120ba56d4977aa0d368fb7c66d40", + "model_id": "013780a0968343228a8306681189312c", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.789722Z", - "iopub.status.busy": "2024-04-08T19:12:16.789232Z", - "iopub.status.idle": "2024-04-08T19:12:16.795676Z", - "shell.execute_reply": "2024-04-08T19:12:16.795154Z" + "iopub.execute_input": "2024-04-08T21:52:38.032988Z", + "iopub.status.busy": "2024-04-08T21:52:38.032462Z", + "iopub.status.idle": "2024-04-08T21:52:38.039296Z", + "shell.execute_reply": "2024-04-08T21:52:38.038830Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.797734Z", - "iopub.status.busy": "2024-04-08T19:12:16.797436Z", - "iopub.status.idle": "2024-04-08T19:12:16.800819Z", - "shell.execute_reply": "2024-04-08T19:12:16.800306Z" + "iopub.execute_input": "2024-04-08T21:52:38.041278Z", + "iopub.status.busy": "2024-04-08T21:52:38.040959Z", + "iopub.status.idle": "2024-04-08T21:52:38.044453Z", + "shell.execute_reply": "2024-04-08T21:52:38.043888Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.802799Z", - "iopub.status.busy": "2024-04-08T19:12:16.802383Z", - "iopub.status.idle": "2024-04-08T19:12:16.808583Z", - "shell.execute_reply": "2024-04-08T19:12:16.808080Z" + "iopub.execute_input": "2024-04-08T21:52:38.046421Z", + "iopub.status.busy": "2024-04-08T21:52:38.046112Z", + "iopub.status.idle": "2024-04-08T21:52:38.052307Z", + "shell.execute_reply": "2024-04-08T21:52:38.051875Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.810430Z", - "iopub.status.busy": "2024-04-08T19:12:16.810131Z", - "iopub.status.idle": "2024-04-08T19:12:16.843764Z", - "shell.execute_reply": "2024-04-08T19:12:16.843069Z" + "iopub.execute_input": "2024-04-08T21:52:38.054288Z", + "iopub.status.busy": "2024-04-08T21:52:38.053976Z", + "iopub.status.idle": "2024-04-08T21:52:38.087895Z", + "shell.execute_reply": "2024-04-08T21:52:38.087287Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.846251Z", - "iopub.status.busy": "2024-04-08T19:12:16.846029Z", - "iopub.status.idle": "2024-04-08T19:12:16.876055Z", - "shell.execute_reply": "2024-04-08T19:12:16.875395Z" + "iopub.execute_input": "2024-04-08T21:52:38.090513Z", + "iopub.status.busy": "2024-04-08T21:52:38.090158Z", + "iopub.status.idle": "2024-04-08T21:52:38.122158Z", + "shell.execute_reply": "2024-04-08T21:52:38.121588Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:16.878797Z", - "iopub.status.busy": "2024-04-08T19:12:16.878362Z", - "iopub.status.idle": "2024-04-08T19:12:16.997690Z", - "shell.execute_reply": "2024-04-08T19:12:16.997074Z" + "iopub.execute_input": "2024-04-08T21:52:38.124811Z", + "iopub.status.busy": "2024-04-08T21:52:38.124443Z", + "iopub.status.idle": "2024-04-08T21:52:38.245296Z", + "shell.execute_reply": "2024-04-08T21:52:38.244673Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:17.000317Z", - "iopub.status.busy": "2024-04-08T19:12:16.999797Z", - "iopub.status.idle": "2024-04-08T19:12:20.051499Z", - "shell.execute_reply": "2024-04-08T19:12:20.050857Z" + "iopub.execute_input": "2024-04-08T21:52:38.247939Z", + "iopub.status.busy": "2024-04-08T21:52:38.247357Z", + "iopub.status.idle": "2024-04-08T21:52:41.278115Z", + "shell.execute_reply": "2024-04-08T21:52:41.277445Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.054045Z", - "iopub.status.busy": "2024-04-08T19:12:20.053678Z", - "iopub.status.idle": "2024-04-08T19:12:20.108066Z", - "shell.execute_reply": "2024-04-08T19:12:20.107454Z" + "iopub.execute_input": "2024-04-08T21:52:41.280387Z", + "iopub.status.busy": "2024-04-08T21:52:41.280185Z", + "iopub.status.idle": "2024-04-08T21:52:41.343805Z", + "shell.execute_reply": "2024-04-08T21:52:41.343221Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.110315Z", - "iopub.status.busy": "2024-04-08T19:12:20.109981Z", - "iopub.status.idle": "2024-04-08T19:12:20.147390Z", - "shell.execute_reply": "2024-04-08T19:12:20.146954Z" + "iopub.execute_input": "2024-04-08T21:52:41.346061Z", + "iopub.status.busy": "2024-04-08T21:52:41.345637Z", + "iopub.status.idle": "2024-04-08T21:52:41.383009Z", + "shell.execute_reply": "2024-04-08T21:52:41.382423Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "9da437a7", + "id": "f6b4c4bb", "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": "fce848ae", + "id": "60b5c209", "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": "0fe990fa", + "id": "e0a5e099", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.149376Z", - "iopub.status.busy": "2024-04-08T19:12:20.149051Z", - "iopub.status.idle": "2024-04-08T19:12:20.266660Z", - "shell.execute_reply": "2024-04-08T19:12:20.266055Z" + "iopub.execute_input": "2024-04-08T21:52:41.385132Z", + "iopub.status.busy": "2024-04-08T21:52:41.384792Z", + "iopub.status.idle": "2024-04-08T21:52:41.491991Z", + "shell.execute_reply": "2024-04-08T21:52:41.491386Z" } }, "outputs": [ @@ -1354,13 +1354,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "Finding underperforming_group issues ...\n", "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1393,7 +1387,7 @@ }, { "cell_type": "markdown", - "id": "e1f798da", + "id": "6a768b00", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1402,13 +1396,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "35842b9a", + "id": "cac3765b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.269272Z", - "iopub.status.busy": "2024-04-08T19:12:20.269030Z", - "iopub.status.idle": "2024-04-08T19:12:20.330497Z", - "shell.execute_reply": "2024-04-08T19:12:20.329977Z" + "iopub.execute_input": "2024-04-08T21:52:41.494449Z", + "iopub.status.busy": "2024-04-08T21:52:41.494203Z", + "iopub.status.idle": "2024-04-08T21:52:41.559401Z", + "shell.execute_reply": "2024-04-08T21:52:41.558627Z" } }, "outputs": [ @@ -1444,7 +1438,7 @@ }, { "cell_type": "markdown", - "id": "798d7822", + "id": "585df12a", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1455,13 +1449,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "fdfd0a78", + "id": "cbb1aa10", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.332905Z", - "iopub.status.busy": "2024-04-08T19:12:20.332706Z", - "iopub.status.idle": "2024-04-08T19:12:20.340139Z", - "shell.execute_reply": "2024-04-08T19:12:20.339592Z" + "iopub.execute_input": "2024-04-08T21:52:41.562045Z", + "iopub.status.busy": "2024-04-08T21:52:41.561642Z", + "iopub.status.idle": "2024-04-08T21:52:41.569488Z", + "shell.execute_reply": "2024-04-08T21:52:41.568981Z" } }, "outputs": [], @@ -1563,7 +1557,7 @@ }, { "cell_type": "markdown", - "id": "623406db", + "id": "6c6b923e", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1578,13 +1572,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "78a115a5", + "id": "bc9dafe6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.342036Z", - "iopub.status.busy": "2024-04-08T19:12:20.341739Z", - "iopub.status.idle": "2024-04-08T19:12:20.360239Z", - "shell.execute_reply": "2024-04-08T19:12:20.359697Z" + "iopub.execute_input": "2024-04-08T21:52:41.571656Z", + "iopub.status.busy": "2024-04-08T21:52:41.571348Z", + "iopub.status.idle": "2024-04-08T21:52:41.590454Z", + "shell.execute_reply": "2024-04-08T21:52:41.589898Z" } }, "outputs": [ @@ -1601,7 +1595,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7838/1995098996.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_7797/1995098996.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" ] } @@ -1635,13 +1629,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "40dae4e0", + "id": "52a94d9d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:20.362253Z", - "iopub.status.busy": "2024-04-08T19:12:20.361948Z", - "iopub.status.idle": "2024-04-08T19:12:20.365026Z", - "shell.execute_reply": "2024-04-08T19:12:20.364516Z" + "iopub.execute_input": "2024-04-08T21:52:41.592635Z", + "iopub.status.busy": "2024-04-08T21:52:41.592232Z", + "iopub.status.idle": "2024-04-08T21:52:41.595664Z", + "shell.execute_reply": "2024-04-08T21:52:41.595126Z" } }, "outputs": [ @@ -1731,12 +1725,150 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - 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    Workflow 1: Use Datalab to detect many types of issues 
    -/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
   warnings.warn(
    diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb index 319d2d3ff..5272b3a79 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": "2024-04-08T19:12:23.385502Z", - "iopub.status.busy": "2024-04-08T19:12:23.385324Z", - "iopub.status.idle": "2024-04-08T19:12:24.500994Z", - "shell.execute_reply": "2024-04-08T19:12:24.500451Z" + "iopub.execute_input": "2024-04-08T21:52:44.848767Z", + "iopub.status.busy": "2024-04-08T21:52:44.848593Z", + "iopub.status.idle": "2024-04-08T21:52:45.969908Z", + "shell.execute_reply": "2024-04-08T21:52:45.969360Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:24.503635Z", - "iopub.status.busy": "2024-04-08T19:12:24.503134Z", - "iopub.status.idle": "2024-04-08T19:12:24.674963Z", - "shell.execute_reply": "2024-04-08T19:12:24.674378Z" + "iopub.execute_input": "2024-04-08T21:52:45.972341Z", + "iopub.status.busy": "2024-04-08T21:52:45.972078Z", + "iopub.status.idle": "2024-04-08T21:52:46.149683Z", + "shell.execute_reply": "2024-04-08T21:52:46.149066Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.677405Z", - "iopub.status.busy": "2024-04-08T19:12:24.677010Z", - "iopub.status.idle": "2024-04-08T19:12:24.688933Z", - "shell.execute_reply": "2024-04-08T19:12:24.688406Z" + "iopub.execute_input": "2024-04-08T21:52:46.152170Z", + "iopub.status.busy": "2024-04-08T21:52:46.151975Z", + "iopub.status.idle": "2024-04-08T21:52:46.164411Z", + "shell.execute_reply": "2024-04-08T21:52:46.163825Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.690846Z", - "iopub.status.busy": "2024-04-08T19:12:24.690671Z", - "iopub.status.idle": "2024-04-08T19:12:24.894029Z", - "shell.execute_reply": "2024-04-08T19:12:24.893464Z" + "iopub.execute_input": "2024-04-08T21:52:46.166662Z", + "iopub.status.busy": "2024-04-08T21:52:46.166327Z", + "iopub.status.idle": "2024-04-08T21:52:46.399840Z", + "shell.execute_reply": "2024-04-08T21:52:46.399256Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.896362Z", - "iopub.status.busy": "2024-04-08T19:12:24.896017Z", - "iopub.status.idle": "2024-04-08T19:12:24.922340Z", - "shell.execute_reply": "2024-04-08T19:12:24.921893Z" + "iopub.execute_input": "2024-04-08T21:52:46.402275Z", + "iopub.status.busy": "2024-04-08T21:52:46.401922Z", + "iopub.status.idle": "2024-04-08T21:52:46.427915Z", + "shell.execute_reply": "2024-04-08T21:52:46.427497Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:24.924554Z", - "iopub.status.busy": "2024-04-08T19:12:24.924219Z", - "iopub.status.idle": "2024-04-08T19:12:26.591119Z", - "shell.execute_reply": "2024-04-08T19:12:26.590421Z" + "iopub.execute_input": "2024-04-08T21:52:46.429793Z", + "iopub.status.busy": "2024-04-08T21:52:46.429619Z", + "iopub.status.idle": "2024-04-08T21:52:48.062475Z", + "shell.execute_reply": "2024-04-08T21:52:48.061777Z" } }, "outputs": [ @@ -461,7 +461,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/hostedtoolcache/Python/3.11.8/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", + "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.\n", " warnings.warn(\n" ] } @@ -483,10 +483,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:26.593843Z", - "iopub.status.busy": "2024-04-08T19:12:26.593202Z", - "iopub.status.idle": "2024-04-08T19:12:26.611348Z", - "shell.execute_reply": "2024-04-08T19:12:26.610866Z" + "iopub.execute_input": "2024-04-08T21:52:48.065164Z", + "iopub.status.busy": "2024-04-08T21:52:48.064507Z", + "iopub.status.idle": "2024-04-08T21:52:48.083024Z", + "shell.execute_reply": "2024-04-08T21:52:48.082575Z" }, "scrolled": true }, @@ -611,10 +611,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:26.613273Z", - "iopub.status.busy": "2024-04-08T19:12:26.613008Z", - "iopub.status.idle": "2024-04-08T19:12:27.994069Z", - "shell.execute_reply": "2024-04-08T19:12:27.993485Z" + "iopub.execute_input": "2024-04-08T21:52:48.085104Z", + "iopub.status.busy": "2024-04-08T21:52:48.084770Z", + "iopub.status.idle": "2024-04-08T21:52:49.485791Z", + "shell.execute_reply": "2024-04-08T21:52:49.485144Z" }, "id": "AaHC5MRKjruT" }, @@ -733,10 +733,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:27.996963Z", - "iopub.status.busy": "2024-04-08T19:12:27.996205Z", - "iopub.status.idle": "2024-04-08T19:12:28.010313Z", - "shell.execute_reply": "2024-04-08T19:12:28.009892Z" + "iopub.execute_input": "2024-04-08T21:52:49.488462Z", + "iopub.status.busy": "2024-04-08T21:52:49.487838Z", + "iopub.status.idle": "2024-04-08T21:52:49.501790Z", + "shell.execute_reply": "2024-04-08T21:52:49.501293Z" }, "id": "Wy27rvyhjruU" }, @@ -785,10 +785,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.012483Z", - "iopub.status.busy": "2024-04-08T19:12:28.012148Z", - "iopub.status.idle": "2024-04-08T19:12:28.092332Z", - "shell.execute_reply": "2024-04-08T19:12:28.091737Z" + "iopub.execute_input": "2024-04-08T21:52:49.503902Z", + "iopub.status.busy": "2024-04-08T21:52:49.503714Z", + "iopub.status.idle": "2024-04-08T21:52:49.582147Z", + "shell.execute_reply": "2024-04-08T21:52:49.581522Z" }, "id": "Db8YHnyVjruU" }, @@ -895,10 +895,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.094848Z", - "iopub.status.busy": "2024-04-08T19:12:28.094388Z", - "iopub.status.idle": "2024-04-08T19:12:28.305015Z", - "shell.execute_reply": "2024-04-08T19:12:28.304459Z" + "iopub.execute_input": "2024-04-08T21:52:49.584402Z", + "iopub.status.busy": "2024-04-08T21:52:49.584169Z", + "iopub.status.idle": "2024-04-08T21:52:49.796625Z", + "shell.execute_reply": "2024-04-08T21:52:49.796059Z" }, "id": "iJqAHuS2jruV" }, @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.307155Z", - "iopub.status.busy": "2024-04-08T19:12:28.306977Z", - "iopub.status.idle": "2024-04-08T19:12:28.324108Z", - "shell.execute_reply": "2024-04-08T19:12:28.323676Z" + "iopub.execute_input": "2024-04-08T21:52:49.798856Z", + "iopub.status.busy": "2024-04-08T21:52:49.798482Z", + "iopub.status.idle": "2024-04-08T21:52:49.815505Z", + "shell.execute_reply": "2024-04-08T21:52:49.814993Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1404,10 +1404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.326002Z", - "iopub.status.busy": "2024-04-08T19:12:28.325829Z", - "iopub.status.idle": "2024-04-08T19:12:28.335620Z", - "shell.execute_reply": "2024-04-08T19:12:28.335205Z" + "iopub.execute_input": "2024-04-08T21:52:49.817600Z", + "iopub.status.busy": "2024-04-08T21:52:49.817312Z", + "iopub.status.idle": "2024-04-08T21:52:49.827140Z", + "shell.execute_reply": "2024-04-08T21:52:49.826558Z" }, "id": "0lonvOYvjruV" }, @@ -1554,10 +1554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.337624Z", - "iopub.status.busy": "2024-04-08T19:12:28.337213Z", - "iopub.status.idle": "2024-04-08T19:12:28.422599Z", - "shell.execute_reply": "2024-04-08T19:12:28.421980Z" + "iopub.execute_input": "2024-04-08T21:52:49.829179Z", + "iopub.status.busy": "2024-04-08T21:52:49.828992Z", + "iopub.status.idle": "2024-04-08T21:52:49.923999Z", + "shell.execute_reply": "2024-04-08T21:52:49.923356Z" }, "id": "MfqTCa3kjruV" }, @@ -1638,10 +1638,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.424970Z", - "iopub.status.busy": "2024-04-08T19:12:28.424722Z", - "iopub.status.idle": "2024-04-08T19:12:28.549007Z", - "shell.execute_reply": "2024-04-08T19:12:28.548406Z" + "iopub.execute_input": "2024-04-08T21:52:49.926359Z", + "iopub.status.busy": "2024-04-08T21:52:49.926119Z", + "iopub.status.idle": "2024-04-08T21:52:50.061779Z", + "shell.execute_reply": "2024-04-08T21:52:50.061151Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1701,10 +1701,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.551383Z", - "iopub.status.busy": "2024-04-08T19:12:28.551092Z", - "iopub.status.idle": "2024-04-08T19:12:28.554976Z", - "shell.execute_reply": "2024-04-08T19:12:28.554255Z" + "iopub.execute_input": "2024-04-08T21:52:50.064271Z", + "iopub.status.busy": "2024-04-08T21:52:50.063910Z", + "iopub.status.idle": "2024-04-08T21:52:50.068036Z", + "shell.execute_reply": "2024-04-08T21:52:50.067504Z" }, "id": "0rXP3ZPWjruW" }, @@ -1742,10 +1742,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.557035Z", - "iopub.status.busy": "2024-04-08T19:12:28.556717Z", - "iopub.status.idle": "2024-04-08T19:12:28.560298Z", - "shell.execute_reply": "2024-04-08T19:12:28.559774Z" + "iopub.execute_input": "2024-04-08T21:52:50.069987Z", + "iopub.status.busy": "2024-04-08T21:52:50.069810Z", + "iopub.status.idle": "2024-04-08T21:52:50.073803Z", + "shell.execute_reply": "2024-04-08T21:52:50.073310Z" }, "id": "-iRPe8KXjruW" }, @@ -1800,10 +1800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.562193Z", - "iopub.status.busy": "2024-04-08T19:12:28.561944Z", - "iopub.status.idle": "2024-04-08T19:12:28.599077Z", - "shell.execute_reply": "2024-04-08T19:12:28.598539Z" + "iopub.execute_input": "2024-04-08T21:52:50.075869Z", + "iopub.status.busy": "2024-04-08T21:52:50.075536Z", + "iopub.status.idle": "2024-04-08T21:52:50.114629Z", + "shell.execute_reply": "2024-04-08T21:52:50.113979Z" }, "id": "ZpipUliyjruW" }, @@ -1854,10 +1854,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.601134Z", - "iopub.status.busy": "2024-04-08T19:12:28.600813Z", - "iopub.status.idle": "2024-04-08T19:12:28.642167Z", - "shell.execute_reply": "2024-04-08T19:12:28.641727Z" + "iopub.execute_input": "2024-04-08T21:52:50.116745Z", + "iopub.status.busy": "2024-04-08T21:52:50.116541Z", + "iopub.status.idle": "2024-04-08T21:52:50.161029Z", + "shell.execute_reply": "2024-04-08T21:52:50.160389Z" }, "id": "SLq-3q4xjruX" }, @@ -1926,10 +1926,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.644151Z", - "iopub.status.busy": "2024-04-08T19:12:28.643835Z", - "iopub.status.idle": "2024-04-08T19:12:28.738961Z", - "shell.execute_reply": "2024-04-08T19:12:28.738341Z" + "iopub.execute_input": "2024-04-08T21:52:50.163139Z", + "iopub.status.busy": "2024-04-08T21:52:50.162940Z", + "iopub.status.idle": "2024-04-08T21:52:50.260654Z", + "shell.execute_reply": "2024-04-08T21:52:50.259955Z" }, "id": "g5LHhhuqFbXK" }, @@ -1961,10 +1961,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.741750Z", - "iopub.status.busy": "2024-04-08T19:12:28.741263Z", - "iopub.status.idle": "2024-04-08T19:12:28.827551Z", - "shell.execute_reply": "2024-04-08T19:12:28.826947Z" + "iopub.execute_input": "2024-04-08T21:52:50.263693Z", + "iopub.status.busy": "2024-04-08T21:52:50.263189Z", + "iopub.status.idle": "2024-04-08T21:52:50.362343Z", + "shell.execute_reply": "2024-04-08T21:52:50.361726Z" }, "id": "p7w8F8ezBcet" }, @@ -2021,10 +2021,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:28.829915Z", - "iopub.status.busy": "2024-04-08T19:12:28.829683Z", - "iopub.status.idle": "2024-04-08T19:12:29.038522Z", - "shell.execute_reply": "2024-04-08T19:12:29.037949Z" + "iopub.execute_input": "2024-04-08T21:52:50.364808Z", + "iopub.status.busy": "2024-04-08T21:52:50.364550Z", + "iopub.status.idle": "2024-04-08T21:52:50.577950Z", + "shell.execute_reply": "2024-04-08T21:52:50.577377Z" }, "id": "WETRL74tE_sU" }, @@ -2059,10 +2059,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.040910Z", - "iopub.status.busy": "2024-04-08T19:12:29.040732Z", - "iopub.status.idle": "2024-04-08T19:12:29.214576Z", - "shell.execute_reply": "2024-04-08T19:12:29.213963Z" + "iopub.execute_input": "2024-04-08T21:52:50.580188Z", + "iopub.status.busy": "2024-04-08T21:52:50.579982Z", + "iopub.status.idle": "2024-04-08T21:52:50.787401Z", + "shell.execute_reply": "2024-04-08T21:52:50.786718Z" }, "id": "kCfdx2gOLmXS" }, @@ -2224,10 +2224,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.217044Z", - "iopub.status.busy": "2024-04-08T19:12:29.216667Z", - "iopub.status.idle": "2024-04-08T19:12:29.222938Z", - "shell.execute_reply": "2024-04-08T19:12:29.222502Z" + "iopub.execute_input": "2024-04-08T21:52:50.790100Z", + "iopub.status.busy": "2024-04-08T21:52:50.789517Z", + "iopub.status.idle": "2024-04-08T21:52:50.795815Z", + "shell.execute_reply": "2024-04-08T21:52:50.795334Z" }, "id": "-uogYRWFYnuu" }, @@ -2281,10 +2281,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.224909Z", - "iopub.status.busy": "2024-04-08T19:12:29.224587Z", - "iopub.status.idle": "2024-04-08T19:12:29.437683Z", - "shell.execute_reply": "2024-04-08T19:12:29.437115Z" + "iopub.execute_input": "2024-04-08T21:52:50.797868Z", + "iopub.status.busy": "2024-04-08T21:52:50.797547Z", + "iopub.status.idle": "2024-04-08T21:52:51.023483Z", + "shell.execute_reply": "2024-04-08T21:52:51.022891Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2331,10 +2331,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:29.439974Z", - "iopub.status.busy": "2024-04-08T19:12:29.439567Z", - "iopub.status.idle": "2024-04-08T19:12:30.486127Z", - "shell.execute_reply": "2024-04-08T19:12:30.485508Z" + "iopub.execute_input": "2024-04-08T21:52:51.025986Z", + "iopub.status.busy": "2024-04-08T21:52:51.025556Z", + "iopub.status.idle": "2024-04-08T21:52:52.089183Z", + "shell.execute_reply": "2024-04-08T21:52:52.088531Z" }, "id": "wL3ngCnuLEWd" }, @@ -2408,7 +2408,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb index a709c4ddc..7418b0f5b 100644 --- a/master/tutorials/multiannotator.ipynb +++ b/master/tutorials/multiannotator.ipynb @@ -89,10 +89,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:33.752421Z", - "iopub.status.busy": "2024-04-08T19:12:33.752248Z", - "iopub.status.idle": "2024-04-08T19:12:34.830539Z", - "shell.execute_reply": "2024-04-08T19:12:34.829972Z" + "iopub.execute_input": "2024-04-08T21:52:55.620820Z", + "iopub.status.busy": "2024-04-08T21:52:55.620652Z", + "iopub.status.idle": "2024-04-08T21:52:56.674841Z", + "shell.execute_reply": "2024-04-08T21:52:56.674213Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:34.833064Z", - "iopub.status.busy": "2024-04-08T19:12:34.832801Z", - "iopub.status.idle": "2024-04-08T19:12:34.835936Z", - "shell.execute_reply": "2024-04-08T19:12:34.835405Z" + "iopub.execute_input": "2024-04-08T21:52:56.677618Z", + "iopub.status.busy": "2024-04-08T21:52:56.677344Z", + "iopub.status.idle": "2024-04-08T21:52:56.680516Z", + "shell.execute_reply": "2024-04-08T21:52:56.679988Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.837888Z", - "iopub.status.busy": "2024-04-08T19:12:34.837708Z", - "iopub.status.idle": "2024-04-08T19:12:34.845722Z", - "shell.execute_reply": "2024-04-08T19:12:34.845317Z" + "iopub.execute_input": "2024-04-08T21:52:56.682543Z", + "iopub.status.busy": "2024-04-08T21:52:56.682233Z", + "iopub.status.idle": "2024-04-08T21:52:56.690305Z", + "shell.execute_reply": "2024-04-08T21:52:56.689844Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.847573Z", - "iopub.status.busy": "2024-04-08T19:12:34.847397Z", - "iopub.status.idle": "2024-04-08T19:12:34.894104Z", - "shell.execute_reply": "2024-04-08T19:12:34.893588Z" + "iopub.execute_input": "2024-04-08T21:52:56.692135Z", + "iopub.status.busy": "2024-04-08T21:52:56.691966Z", + "iopub.status.idle": "2024-04-08T21:52:56.736891Z", + "shell.execute_reply": "2024-04-08T21:52:56.736460Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.896019Z", - "iopub.status.busy": "2024-04-08T19:12:34.895834Z", - "iopub.status.idle": "2024-04-08T19:12:34.912597Z", - "shell.execute_reply": "2024-04-08T19:12:34.912094Z" + "iopub.execute_input": "2024-04-08T21:52:56.738845Z", + "iopub.status.busy": "2024-04-08T21:52:56.738655Z", + "iopub.status.idle": "2024-04-08T21:52:56.755451Z", + "shell.execute_reply": "2024-04-08T21:52:56.755009Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.914647Z", - "iopub.status.busy": "2024-04-08T19:12:34.914307Z", - "iopub.status.idle": "2024-04-08T19:12:34.917956Z", - "shell.execute_reply": "2024-04-08T19:12:34.917438Z" + "iopub.execute_input": "2024-04-08T21:52:56.757253Z", + "iopub.status.busy": "2024-04-08T21:52:56.757082Z", + "iopub.status.idle": "2024-04-08T21:52:56.760967Z", + "shell.execute_reply": "2024-04-08T21:52:56.760530Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.919974Z", - "iopub.status.busy": "2024-04-08T19:12:34.919671Z", - "iopub.status.idle": "2024-04-08T19:12:34.946169Z", - "shell.execute_reply": "2024-04-08T19:12:34.945655Z" + "iopub.execute_input": "2024-04-08T21:52:56.763008Z", + "iopub.status.busy": "2024-04-08T21:52:56.762678Z", + "iopub.status.idle": "2024-04-08T21:52:56.788272Z", + "shell.execute_reply": "2024-04-08T21:52:56.787865Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.948155Z", - "iopub.status.busy": "2024-04-08T19:12:34.947833Z", - "iopub.status.idle": "2024-04-08T19:12:34.973985Z", - "shell.execute_reply": "2024-04-08T19:12:34.973459Z" + "iopub.execute_input": "2024-04-08T21:52:56.790389Z", + "iopub.status.busy": "2024-04-08T21:52:56.789913Z", + "iopub.status.idle": "2024-04-08T21:52:56.816164Z", + "shell.execute_reply": "2024-04-08T21:52:56.815620Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:34.976074Z", - "iopub.status.busy": "2024-04-08T19:12:34.975781Z", - "iopub.status.idle": "2024-04-08T19:12:36.687655Z", - "shell.execute_reply": "2024-04-08T19:12:36.687110Z" + "iopub.execute_input": "2024-04-08T21:52:56.818430Z", + "iopub.status.busy": "2024-04-08T21:52:56.818016Z", + "iopub.status.idle": "2024-04-08T21:52:58.500444Z", + "shell.execute_reply": "2024-04-08T21:52:58.499807Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.690165Z", - "iopub.status.busy": "2024-04-08T19:12:36.689693Z", - "iopub.status.idle": "2024-04-08T19:12:36.696336Z", - "shell.execute_reply": "2024-04-08T19:12:36.695815Z" + "iopub.execute_input": "2024-04-08T21:52:58.503086Z", + "iopub.status.busy": "2024-04-08T21:52:58.502790Z", + "iopub.status.idle": "2024-04-08T21:52:58.509423Z", + "shell.execute_reply": "2024-04-08T21:52:58.508895Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.698324Z", - "iopub.status.busy": "2024-04-08T19:12:36.698034Z", - "iopub.status.idle": "2024-04-08T19:12:36.710339Z", - "shell.execute_reply": "2024-04-08T19:12:36.709902Z" + "iopub.execute_input": "2024-04-08T21:52:58.511480Z", + "iopub.status.busy": "2024-04-08T21:52:58.511156Z", + "iopub.status.idle": "2024-04-08T21:52:58.523295Z", + "shell.execute_reply": "2024-04-08T21:52:58.522884Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.712346Z", - "iopub.status.busy": "2024-04-08T19:12:36.711929Z", - "iopub.status.idle": "2024-04-08T19:12:36.718208Z", - "shell.execute_reply": "2024-04-08T19:12:36.717694Z" + "iopub.execute_input": "2024-04-08T21:52:58.525194Z", + "iopub.status.busy": "2024-04-08T21:52:58.524873Z", + "iopub.status.idle": "2024-04-08T21:52:58.530957Z", + "shell.execute_reply": "2024-04-08T21:52:58.530537Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.720257Z", - "iopub.status.busy": "2024-04-08T19:12:36.719972Z", - "iopub.status.idle": "2024-04-08T19:12:36.722551Z", - "shell.execute_reply": "2024-04-08T19:12:36.722114Z" + "iopub.execute_input": "2024-04-08T21:52:58.533065Z", + "iopub.status.busy": "2024-04-08T21:52:58.532751Z", + "iopub.status.idle": "2024-04-08T21:52:58.535247Z", + "shell.execute_reply": "2024-04-08T21:52:58.534834Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.724389Z", - "iopub.status.busy": "2024-04-08T19:12:36.724098Z", - "iopub.status.idle": "2024-04-08T19:12:36.727537Z", - "shell.execute_reply": "2024-04-08T19:12:36.727025Z" + "iopub.execute_input": "2024-04-08T21:52:58.537279Z", + "iopub.status.busy": "2024-04-08T21:52:58.536970Z", + "iopub.status.idle": "2024-04-08T21:52:58.540289Z", + "shell.execute_reply": "2024-04-08T21:52:58.539787Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.729415Z", - "iopub.status.busy": "2024-04-08T19:12:36.729242Z", - "iopub.status.idle": "2024-04-08T19:12:36.731642Z", - "shell.execute_reply": "2024-04-08T19:12:36.731237Z" + "iopub.execute_input": "2024-04-08T21:52:58.542327Z", + "iopub.status.busy": "2024-04-08T21:52:58.542019Z", + "iopub.status.idle": "2024-04-08T21:52:58.544475Z", + "shell.execute_reply": "2024-04-08T21:52:58.544065Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.733573Z", - "iopub.status.busy": "2024-04-08T19:12:36.733257Z", - "iopub.status.idle": "2024-04-08T19:12:36.737118Z", - "shell.execute_reply": "2024-04-08T19:12:36.736613Z" + "iopub.execute_input": "2024-04-08T21:52:58.546373Z", + "iopub.status.busy": "2024-04-08T21:52:58.546075Z", + "iopub.status.idle": "2024-04-08T21:52:58.550092Z", + "shell.execute_reply": "2024-04-08T21:52:58.549576Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.739150Z", - "iopub.status.busy": "2024-04-08T19:12:36.738829Z", - "iopub.status.idle": "2024-04-08T19:12:36.767384Z", - "shell.execute_reply": "2024-04-08T19:12:36.766867Z" + "iopub.execute_input": "2024-04-08T21:52:58.552013Z", + "iopub.status.busy": "2024-04-08T21:52:58.551809Z", + "iopub.status.idle": "2024-04-08T21:52:58.580045Z", + "shell.execute_reply": "2024-04-08T21:52:58.579619Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:36.769379Z", - "iopub.status.busy": "2024-04-08T19:12:36.769213Z", - "iopub.status.idle": "2024-04-08T19:12:36.773887Z", - "shell.execute_reply": "2024-04-08T19:12:36.773364Z" + "iopub.execute_input": "2024-04-08T21:52:58.582104Z", + "iopub.status.busy": "2024-04-08T21:52:58.581789Z", + "iopub.status.idle": "2024-04-08T21:52:58.586064Z", + "shell.execute_reply": "2024-04-08T21:52:58.585650Z" }, "nbsphinx": "hidden" }, @@ -1572,7 +1572,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" }, "vscode": { "interpreter": { diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb index 93017979b..ccd84011a 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": "2024-04-08T19:12:39.372434Z", - "iopub.status.busy": "2024-04-08T19:12:39.372031Z", - "iopub.status.idle": "2024-04-08T19:12:40.491618Z", - "shell.execute_reply": "2024-04-08T19:12:40.491005Z" + "iopub.execute_input": "2024-04-08T21:53:01.165262Z", + "iopub.status.busy": "2024-04-08T21:53:01.165085Z", + "iopub.status.idle": "2024-04-08T21:53:02.293269Z", + "shell.execute_reply": "2024-04-08T21:53:02.292725Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:40.494221Z", - "iopub.status.busy": "2024-04-08T19:12:40.493824Z", - "iopub.status.idle": "2024-04-08T19:12:40.685279Z", - "shell.execute_reply": "2024-04-08T19:12:40.684689Z" + "iopub.execute_input": "2024-04-08T21:53:02.295788Z", + "iopub.status.busy": "2024-04-08T21:53:02.295371Z", + "iopub.status.idle": "2024-04-08T21:53:02.487092Z", + "shell.execute_reply": "2024-04-08T21:53:02.486529Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:40.688253Z", - "iopub.status.busy": "2024-04-08T19:12:40.687653Z", - "iopub.status.idle": "2024-04-08T19:12:40.701124Z", - "shell.execute_reply": "2024-04-08T19:12:40.700676Z" + "iopub.execute_input": "2024-04-08T21:53:02.489584Z", + "iopub.status.busy": "2024-04-08T21:53:02.489313Z", + "iopub.status.idle": "2024-04-08T21:53:02.502093Z", + "shell.execute_reply": "2024-04-08T21:53:02.501639Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:40.703173Z", - "iopub.status.busy": "2024-04-08T19:12:40.702854Z", - "iopub.status.idle": "2024-04-08T19:12:43.329249Z", - "shell.execute_reply": "2024-04-08T19:12:43.328755Z" + "iopub.execute_input": "2024-04-08T21:53:02.504023Z", + "iopub.status.busy": "2024-04-08T21:53:02.503847Z", + "iopub.status.idle": "2024-04-08T21:53:05.143294Z", + "shell.execute_reply": "2024-04-08T21:53:05.142687Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:43.331514Z", - "iopub.status.busy": "2024-04-08T19:12:43.331169Z", - "iopub.status.idle": "2024-04-08T19:12:44.670891Z", - "shell.execute_reply": "2024-04-08T19:12:44.670276Z" + "iopub.execute_input": "2024-04-08T21:53:05.145673Z", + "iopub.status.busy": "2024-04-08T21:53:05.145204Z", + "iopub.status.idle": "2024-04-08T21:53:06.483996Z", + "shell.execute_reply": "2024-04-08T21:53:06.483366Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:44.673413Z", - "iopub.status.busy": "2024-04-08T19:12:44.673216Z", - "iopub.status.idle": "2024-04-08T19:12:44.677262Z", - "shell.execute_reply": "2024-04-08T19:12:44.676816Z" + "iopub.execute_input": "2024-04-08T21:53:06.486837Z", + "iopub.status.busy": "2024-04-08T21:53:06.486363Z", + "iopub.status.idle": "2024-04-08T21:53:06.490496Z", + "shell.execute_reply": "2024-04-08T21:53:06.490020Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:44.679281Z", - "iopub.status.busy": "2024-04-08T19:12:44.678982Z", - "iopub.status.idle": "2024-04-08T19:12:46.437869Z", - "shell.execute_reply": "2024-04-08T19:12:46.437260Z" + "iopub.execute_input": "2024-04-08T21:53:06.492516Z", + "iopub.status.busy": "2024-04-08T21:53:06.492190Z", + "iopub.status.idle": "2024-04-08T21:53:08.207836Z", + "shell.execute_reply": "2024-04-08T21:53:08.207189Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:46.440643Z", - "iopub.status.busy": "2024-04-08T19:12:46.440072Z", - "iopub.status.idle": "2024-04-08T19:12:46.448250Z", - "shell.execute_reply": "2024-04-08T19:12:46.447724Z" + "iopub.execute_input": "2024-04-08T21:53:08.210385Z", + "iopub.status.busy": "2024-04-08T21:53:08.209828Z", + "iopub.status.idle": "2024-04-08T21:53:08.218183Z", + "shell.execute_reply": "2024-04-08T21:53:08.217706Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:46.450615Z", - "iopub.status.busy": "2024-04-08T19:12:46.450220Z", - "iopub.status.idle": "2024-04-08T19:12:49.029942Z", - "shell.execute_reply": "2024-04-08T19:12:49.029325Z" + "iopub.execute_input": "2024-04-08T21:53:08.220241Z", + "iopub.status.busy": "2024-04-08T21:53:08.219969Z", + "iopub.status.idle": "2024-04-08T21:53:10.774214Z", + "shell.execute_reply": "2024-04-08T21:53:10.773690Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.032160Z", - "iopub.status.busy": "2024-04-08T19:12:49.031822Z", - "iopub.status.idle": "2024-04-08T19:12:49.035518Z", - "shell.execute_reply": "2024-04-08T19:12:49.035071Z" + "iopub.execute_input": "2024-04-08T21:53:10.776575Z", + "iopub.status.busy": "2024-04-08T21:53:10.776220Z", + "iopub.status.idle": "2024-04-08T21:53:10.779510Z", + "shell.execute_reply": "2024-04-08T21:53:10.779003Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.037498Z", - "iopub.status.busy": "2024-04-08T19:12:49.037171Z", - "iopub.status.idle": "2024-04-08T19:12:49.041048Z", - "shell.execute_reply": "2024-04-08T19:12:49.040619Z" + "iopub.execute_input": "2024-04-08T21:53:10.781685Z", + "iopub.status.busy": "2024-04-08T21:53:10.781358Z", + "iopub.status.idle": "2024-04-08T21:53:10.785218Z", + "shell.execute_reply": "2024-04-08T21:53:10.784784Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:49.042924Z", - "iopub.status.busy": "2024-04-08T19:12:49.042604Z", - "iopub.status.idle": "2024-04-08T19:12:49.045672Z", - "shell.execute_reply": "2024-04-08T19:12:49.045228Z" + "iopub.execute_input": "2024-04-08T21:53:10.787312Z", + "iopub.status.busy": "2024-04-08T21:53:10.787001Z", + "iopub.status.idle": "2024-04-08T21:53:10.789982Z", + "shell.execute_reply": "2024-04-08T21:53:10.789540Z" }, "nbsphinx": "hidden" }, @@ -787,7 +787,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb index b290d6163..db57ea3b7 100644 --- a/master/tutorials/object_detection.ipynb +++ b/master/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:51.506697Z", - "iopub.status.busy": "2024-04-08T19:12:51.506534Z", - "iopub.status.idle": "2024-04-08T19:12:52.637000Z", - "shell.execute_reply": "2024-04-08T19:12:52.636397Z" + "iopub.execute_input": "2024-04-08T21:53:13.174563Z", + "iopub.status.busy": "2024-04-08T21:53:13.174086Z", + "iopub.status.idle": "2024-04-08T21:53:14.296401Z", + "shell.execute_reply": "2024-04-08T21:53:14.295802Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:12:52.639569Z", - "iopub.status.busy": "2024-04-08T19:12:52.639309Z", - "iopub.status.idle": "2024-04-08T19:12:55.104415Z", - "shell.execute_reply": "2024-04-08T19:12:55.103670Z" + "iopub.execute_input": "2024-04-08T21:53:14.299256Z", + "iopub.status.busy": "2024-04-08T21:53:14.298643Z", + "iopub.status.idle": "2024-04-08T21:53:15.386072Z", + "shell.execute_reply": "2024-04-08T21:53:15.385305Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.107140Z", - "iopub.status.busy": "2024-04-08T19:12:55.106931Z", - "iopub.status.idle": "2024-04-08T19:12:55.110341Z", - "shell.execute_reply": "2024-04-08T19:12:55.109801Z" + "iopub.execute_input": "2024-04-08T21:53:15.388879Z", + "iopub.status.busy": "2024-04-08T21:53:15.388508Z", + "iopub.status.idle": "2024-04-08T21:53:15.391840Z", + "shell.execute_reply": "2024-04-08T21:53:15.391355Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.112430Z", - "iopub.status.busy": "2024-04-08T19:12:55.112060Z", - "iopub.status.idle": "2024-04-08T19:12:55.118161Z", - "shell.execute_reply": "2024-04-08T19:12:55.117642Z" + "iopub.execute_input": "2024-04-08T21:53:15.393861Z", + "iopub.status.busy": "2024-04-08T21:53:15.393683Z", + "iopub.status.idle": "2024-04-08T21:53:15.399966Z", + "shell.execute_reply": "2024-04-08T21:53:15.399554Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.120250Z", - "iopub.status.busy": "2024-04-08T19:12:55.119951Z", - "iopub.status.idle": "2024-04-08T19:12:55.604414Z", - "shell.execute_reply": "2024-04-08T19:12:55.603862Z" + "iopub.execute_input": "2024-04-08T21:53:15.402147Z", + "iopub.status.busy": "2024-04-08T21:53:15.401739Z", + "iopub.status.idle": "2024-04-08T21:53:15.886695Z", + "shell.execute_reply": "2024-04-08T21:53:15.886105Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.607305Z", - "iopub.status.busy": "2024-04-08T19:12:55.606952Z", - "iopub.status.idle": "2024-04-08T19:12:55.612116Z", - "shell.execute_reply": "2024-04-08T19:12:55.611686Z" + "iopub.execute_input": "2024-04-08T21:53:15.889459Z", + "iopub.status.busy": "2024-04-08T21:53:15.889016Z", + "iopub.status.idle": "2024-04-08T21:53:15.894428Z", + "shell.execute_reply": "2024-04-08T21:53:15.893875Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.614134Z", - "iopub.status.busy": "2024-04-08T19:12:55.613824Z", - "iopub.status.idle": "2024-04-08T19:12:55.617419Z", - "shell.execute_reply": "2024-04-08T19:12:55.617014Z" + "iopub.execute_input": "2024-04-08T21:53:15.896540Z", + "iopub.status.busy": "2024-04-08T21:53:15.896227Z", + "iopub.status.idle": "2024-04-08T21:53:15.899892Z", + "shell.execute_reply": "2024-04-08T21:53:15.899405Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:55.619403Z", - "iopub.status.busy": "2024-04-08T19:12:55.619145Z", - "iopub.status.idle": "2024-04-08T19:12:56.292272Z", - "shell.execute_reply": "2024-04-08T19:12:56.291640Z" + "iopub.execute_input": "2024-04-08T21:53:15.901915Z", + "iopub.status.busy": "2024-04-08T21:53:15.901600Z", + "iopub.status.idle": "2024-04-08T21:53:16.556397Z", + "shell.execute_reply": "2024-04-08T21:53:16.555811Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.294743Z", - "iopub.status.busy": "2024-04-08T19:12:56.294368Z", - "iopub.status.idle": "2024-04-08T19:12:56.451834Z", - "shell.execute_reply": "2024-04-08T19:12:56.451237Z" + "iopub.execute_input": "2024-04-08T21:53:16.558843Z", + "iopub.status.busy": "2024-04-08T21:53:16.558463Z", + "iopub.status.idle": "2024-04-08T21:53:16.718885Z", + "shell.execute_reply": "2024-04-08T21:53:16.718432Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.454163Z", - "iopub.status.busy": "2024-04-08T19:12:56.453784Z", - "iopub.status.idle": "2024-04-08T19:12:56.458257Z", - "shell.execute_reply": "2024-04-08T19:12:56.457717Z" + "iopub.execute_input": "2024-04-08T21:53:16.721035Z", + "iopub.status.busy": "2024-04-08T21:53:16.720690Z", + "iopub.status.idle": "2024-04-08T21:53:16.724952Z", + "shell.execute_reply": "2024-04-08T21:53:16.724509Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.460284Z", - "iopub.status.busy": "2024-04-08T19:12:56.459945Z", - "iopub.status.idle": "2024-04-08T19:12:56.918547Z", - "shell.execute_reply": "2024-04-08T19:12:56.917913Z" + "iopub.execute_input": "2024-04-08T21:53:16.727026Z", + "iopub.status.busy": "2024-04-08T21:53:16.726592Z", + "iopub.status.idle": "2024-04-08T21:53:17.171629Z", + "shell.execute_reply": "2024-04-08T21:53:17.170994Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:56.921651Z", - "iopub.status.busy": "2024-04-08T19:12:56.921292Z", - "iopub.status.idle": "2024-04-08T19:12:57.253473Z", - "shell.execute_reply": "2024-04-08T19:12:57.252856Z" + "iopub.execute_input": "2024-04-08T21:53:17.174738Z", + "iopub.status.busy": "2024-04-08T21:53:17.174372Z", + "iopub.status.idle": "2024-04-08T21:53:17.507767Z", + "shell.execute_reply": "2024-04-08T21:53:17.507230Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:57.255657Z", - "iopub.status.busy": "2024-04-08T19:12:57.255478Z", - "iopub.status.idle": "2024-04-08T19:12:57.619053Z", - "shell.execute_reply": "2024-04-08T19:12:57.618466Z" + "iopub.execute_input": "2024-04-08T21:53:17.510336Z", + "iopub.status.busy": "2024-04-08T21:53:17.510151Z", + "iopub.status.idle": "2024-04-08T21:53:17.841940Z", + "shell.execute_reply": "2024-04-08T21:53:17.841333Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:57.621976Z", - "iopub.status.busy": "2024-04-08T19:12:57.621623Z", - "iopub.status.idle": "2024-04-08T19:12:58.060261Z", - "shell.execute_reply": "2024-04-08T19:12:58.059741Z" + "iopub.execute_input": "2024-04-08T21:53:17.844745Z", + "iopub.status.busy": "2024-04-08T21:53:17.844322Z", + "iopub.status.idle": "2024-04-08T21:53:18.282711Z", + "shell.execute_reply": "2024-04-08T21:53:18.282153Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.064403Z", - "iopub.status.busy": "2024-04-08T19:12:58.064187Z", - "iopub.status.idle": "2024-04-08T19:12:58.481716Z", - "shell.execute_reply": "2024-04-08T19:12:58.481166Z" + "iopub.execute_input": "2024-04-08T21:53:18.287057Z", + "iopub.status.busy": "2024-04-08T21:53:18.286688Z", + "iopub.status.idle": "2024-04-08T21:53:18.731778Z", + "shell.execute_reply": "2024-04-08T21:53:18.731192Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.484504Z", - "iopub.status.busy": "2024-04-08T19:12:58.484329Z", - "iopub.status.idle": "2024-04-08T19:12:58.698454Z", - "shell.execute_reply": "2024-04-08T19:12:58.697889Z" + "iopub.execute_input": "2024-04-08T21:53:18.734897Z", + "iopub.status.busy": "2024-04-08T21:53:18.734545Z", + "iopub.status.idle": "2024-04-08T21:53:18.946711Z", + "shell.execute_reply": "2024-04-08T21:53:18.946128Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.700764Z", - "iopub.status.busy": "2024-04-08T19:12:58.700331Z", - "iopub.status.idle": "2024-04-08T19:12:58.897447Z", - "shell.execute_reply": "2024-04-08T19:12:58.896906Z" + "iopub.execute_input": "2024-04-08T21:53:18.948919Z", + "iopub.status.busy": "2024-04-08T21:53:18.948578Z", + "iopub.status.idle": "2024-04-08T21:53:19.148315Z", + "shell.execute_reply": "2024-04-08T21:53:19.147722Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.899675Z", - "iopub.status.busy": "2024-04-08T19:12:58.899273Z", - "iopub.status.idle": "2024-04-08T19:12:58.902127Z", - "shell.execute_reply": "2024-04-08T19:12:58.901613Z" + "iopub.execute_input": "2024-04-08T21:53:19.150522Z", + "iopub.status.busy": "2024-04-08T21:53:19.150172Z", + "iopub.status.idle": "2024-04-08T21:53:19.153015Z", + "shell.execute_reply": "2024-04-08T21:53:19.152594Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:58.904091Z", - "iopub.status.busy": "2024-04-08T19:12:58.903780Z", - "iopub.status.idle": "2024-04-08T19:12:59.779761Z", - "shell.execute_reply": "2024-04-08T19:12:59.779165Z" + "iopub.execute_input": "2024-04-08T21:53:19.155170Z", + "iopub.status.busy": "2024-04-08T21:53:19.154723Z", + "iopub.status.idle": "2024-04-08T21:53:20.021314Z", + "shell.execute_reply": "2024-04-08T21:53:20.020786Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:59.782264Z", - "iopub.status.busy": "2024-04-08T19:12:59.781937Z", - "iopub.status.idle": "2024-04-08T19:12:59.964112Z", - "shell.execute_reply": "2024-04-08T19:12:59.963525Z" + "iopub.execute_input": "2024-04-08T21:53:20.023932Z", + "iopub.status.busy": "2024-04-08T21:53:20.023749Z", + "iopub.status.idle": "2024-04-08T21:53:20.132017Z", + "shell.execute_reply": "2024-04-08T21:53:20.131591Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:12:59.966448Z", - "iopub.status.busy": "2024-04-08T19:12:59.965968Z", - "iopub.status.idle": "2024-04-08T19:13:00.154653Z", - "shell.execute_reply": "2024-04-08T19:13:00.154036Z" + "iopub.execute_input": "2024-04-08T21:53:20.134136Z", + "iopub.status.busy": "2024-04-08T21:53:20.133814Z", + "iopub.status.idle": "2024-04-08T21:53:20.256463Z", + "shell.execute_reply": "2024-04-08T21:53:20.255994Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:00.156712Z", - "iopub.status.busy": "2024-04-08T19:13:00.156532Z", - "iopub.status.idle": "2024-04-08T19:13:00.829599Z", - "shell.execute_reply": "2024-04-08T19:13:00.829059Z" + "iopub.execute_input": "2024-04-08T21:53:20.258386Z", + "iopub.status.busy": "2024-04-08T21:53:20.258207Z", + "iopub.status.idle": "2024-04-08T21:53:20.993801Z", + "shell.execute_reply": "2024-04-08T21:53:20.993270Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:00.832154Z", - "iopub.status.busy": "2024-04-08T19:13:00.831662Z", - "iopub.status.idle": "2024-04-08T19:13:00.835999Z", - "shell.execute_reply": "2024-04-08T19:13:00.835484Z" + "iopub.execute_input": "2024-04-08T21:53:20.995920Z", + "iopub.status.busy": "2024-04-08T21:53:20.995738Z", + "iopub.status.idle": "2024-04-08T21:53:20.999427Z", + "shell.execute_reply": "2024-04-08T21:53:20.998985Z" }, "nbsphinx": "hidden" }, @@ -1387,7 +1387,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/master/tutorials/outliers.html b/master/tutorials/outliers.html index 5348041dc..6a95bb927 100644 --- a/master/tutorials/outliers.html +++ b/master/tutorials/outliers.html @@ -746,7 +746,7 @@

    2. Pre-process the Cifar10 dataset 
    -100%|██████████| 170498071/170498071 [00:04<00:00, 37601665.95it/s]
+100%|██████████| 170498071/170498071 [00:01<00:00, 96344932.23it/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 c8a250110..8ece31973 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:03.168340Z", - "iopub.status.busy": "2024-04-08T19:13:03.168171Z", - "iopub.status.idle": "2024-04-08T19:13:05.872246Z", - "shell.execute_reply": "2024-04-08T19:13:05.871721Z" + "iopub.execute_input": "2024-04-08T21:53:23.106537Z", + "iopub.status.busy": "2024-04-08T21:53:23.106008Z", + "iopub.status.idle": "2024-04-08T21:53:25.809147Z", + "shell.execute_reply": "2024-04-08T21:53:25.808588Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:13:05.874860Z", - "iopub.status.busy": "2024-04-08T19:13:05.874355Z", - "iopub.status.idle": "2024-04-08T19:13:06.204418Z", - "shell.execute_reply": "2024-04-08T19:13:06.203821Z" + "iopub.execute_input": "2024-04-08T21:53:25.811952Z", + "iopub.status.busy": "2024-04-08T21:53:25.811404Z", + "iopub.status.idle": "2024-04-08T21:53:26.130631Z", + "shell.execute_reply": "2024-04-08T21:53:26.130075Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:06.206962Z", - "iopub.status.busy": "2024-04-08T19:13:06.206657Z", - "iopub.status.idle": "2024-04-08T19:13:06.210651Z", - "shell.execute_reply": "2024-04-08T19:13:06.210217Z" + "iopub.execute_input": "2024-04-08T21:53:26.133270Z", + "iopub.status.busy": "2024-04-08T21:53:26.132699Z", + "iopub.status.idle": "2024-04-08T21:53:26.136882Z", + "shell.execute_reply": "2024-04-08T21:53:26.136338Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:06.212643Z", - "iopub.status.busy": "2024-04-08T19:13:06.212236Z", - "iopub.status.idle": "2024-04-08T19:13:14.211316Z", - "shell.execute_reply": "2024-04-08T19:13:14.210735Z" + "iopub.execute_input": "2024-04-08T21:53:26.139086Z", + "iopub.status.busy": "2024-04-08T21:53:26.138768Z", + "iopub.status.idle": "2024-04-08T21:53:30.505958Z", + "shell.execute_reply": "2024-04-08T21:53:30.505359Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 32768/170498071 [00:00<11:46, 241421.69it/s]" + " 1%| | 1769472/170498071 [00:00<00:09, 17453386.37it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 229376/170498071 [00:00<03:01, 939950.18it/s]" + " 7%|▋ | 12222464/170498071 [00:00<00:02, 68271540.42it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 884736/170498071 [00:00<01:03, 2688209.96it/s]" + " 13%|█▎ | 22052864/170498071 [00:00<00:01, 81895567.19it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - 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"iopub.execute_input": "2024-04-08T19:13:14.213408Z", - "iopub.status.busy": "2024-04-08T19:13:14.213222Z", - "iopub.status.idle": "2024-04-08T19:13:14.217828Z", - "shell.execute_reply": "2024-04-08T19:13:14.217410Z" + "iopub.execute_input": "2024-04-08T21:53:30.508269Z", + "iopub.status.busy": "2024-04-08T21:53:30.507916Z", + "iopub.status.idle": "2024-04-08T21:53:30.512599Z", + "shell.execute_reply": "2024-04-08T21:53:30.512173Z" }, "nbsphinx": "hidden" }, @@ -744,10 +560,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:14.219646Z", - "iopub.status.busy": "2024-04-08T19:13:14.219474Z", - "iopub.status.idle": "2024-04-08T19:13:14.735288Z", - "shell.execute_reply": "2024-04-08T19:13:14.734716Z" + "iopub.execute_input": "2024-04-08T21:53:30.514714Z", + "iopub.status.busy": "2024-04-08T21:53:30.514383Z", + "iopub.status.idle": "2024-04-08T21:53:31.051751Z", + "shell.execute_reply": "2024-04-08T21:53:31.051165Z" } }, "outputs": [ @@ -780,10 +596,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:14.737482Z", - "iopub.status.busy": "2024-04-08T19:13:14.737170Z", - "iopub.status.idle": "2024-04-08T19:13:15.227922Z", - "shell.execute_reply": "2024-04-08T19:13:15.227323Z" + "iopub.execute_input": "2024-04-08T21:53:31.054091Z", + "iopub.status.busy": "2024-04-08T21:53:31.053743Z", + "iopub.status.idle": "2024-04-08T21:53:31.558486Z", + "shell.execute_reply": "2024-04-08T21:53:31.557907Z" } }, "outputs": [ @@ -821,10 +637,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:15.229967Z", - "iopub.status.busy": "2024-04-08T19:13:15.229777Z", - "iopub.status.idle": "2024-04-08T19:13:15.233685Z", - "shell.execute_reply": "2024-04-08T19:13:15.233276Z" + "iopub.execute_input": "2024-04-08T21:53:31.560721Z", + "iopub.status.busy": "2024-04-08T21:53:31.560363Z", + "iopub.status.idle": "2024-04-08T21:53:31.563739Z", + "shell.execute_reply": "2024-04-08T21:53:31.563302Z" } }, "outputs": [], @@ -847,17 +663,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:15.235578Z", - "iopub.status.busy": "2024-04-08T19:13:15.235253Z", - "iopub.status.idle": "2024-04-08T19:13:27.791114Z", - "shell.execute_reply": "2024-04-08T19:13:27.790500Z" + "iopub.execute_input": "2024-04-08T21:53:31.565838Z", + "iopub.status.busy": "2024-04-08T21:53:31.565510Z", + "iopub.status.idle": "2024-04-08T21:53:44.051763Z", + "shell.execute_reply": "2024-04-08T21:53:44.051171Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2bb5503dd8b443508a98689b99426ed1", + "model_id": "74fee4353095495d9f226fe332cc1259", "version_major": 2, "version_minor": 0 }, @@ -916,10 +732,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:27.793604Z", - "iopub.status.busy": "2024-04-08T19:13:27.793211Z", - "iopub.status.idle": "2024-04-08T19:13:29.587802Z", - "shell.execute_reply": "2024-04-08T19:13:29.587253Z" + "iopub.execute_input": "2024-04-08T21:53:44.054111Z", + "iopub.status.busy": "2024-04-08T21:53:44.053732Z", + "iopub.status.idle": "2024-04-08T21:53:45.819836Z", + "shell.execute_reply": "2024-04-08T21:53:45.819254Z" } }, "outputs": [ @@ -963,10 +779,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:29.590598Z", - "iopub.status.busy": "2024-04-08T19:13:29.590127Z", - "iopub.status.idle": "2024-04-08T19:13:29.858111Z", - "shell.execute_reply": "2024-04-08T19:13:29.857584Z" + "iopub.execute_input": "2024-04-08T21:53:45.822604Z", + "iopub.status.busy": "2024-04-08T21:53:45.822223Z", + "iopub.status.idle": "2024-04-08T21:53:46.075652Z", + "shell.execute_reply": "2024-04-08T21:53:46.074584Z" } }, "outputs": [ @@ -1002,10 +818,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:29.861034Z", - "iopub.status.busy": "2024-04-08T19:13:29.860632Z", - "iopub.status.idle": "2024-04-08T19:13:30.577484Z", - "shell.execute_reply": "2024-04-08T19:13:30.576958Z" + "iopub.execute_input": "2024-04-08T21:53:46.078335Z", + "iopub.status.busy": "2024-04-08T21:53:46.078108Z", + "iopub.status.idle": "2024-04-08T21:53:46.743524Z", + "shell.execute_reply": "2024-04-08T21:53:46.742932Z" } }, "outputs": [ @@ -1055,10 +871,10 @@ "id": "e9dff81b", "metadata": { "execution": { - 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"layout": "IPY_MODEL_007c6ddc44eb433e853f88ed09044f49", - "placeholder": "​", - "style": "IPY_MODEL_8e6e75da45e94500ac3664d6571c19a5", - "tabbable": null, - "tooltip": null, - "value": " 102M/102M [00:00<00:00, 261MB/s]" - } - }, - "0c87bf09ff7545318077176d0bc67dc5": { + "613d8f0ad5b24a2cbbc7eba7165b1268": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1500,31 +1340,25 @@ "width": null } }, - "2bb5503dd8b443508a98689b99426ed1": { + "6a0cb4fc0ec8441daefaec8c242c5901": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "HTMLStyleModel", "state": { - "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLStyleModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_b99b680885934cdfa31bc3a843e20724", - "IPY_MODEL_f15ac1823a7f4e549da71d08245aa9b2", - "IPY_MODEL_0c6902059f6d43049f050a70f2c4d5ed" - ], - "layout": "IPY_MODEL_0c87bf09ff7545318077176d0bc67dc5", - "tabbable": null, - "tooltip": null + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } }, - "3897024bcca245b1bc58655ded2b9bc5": { + "701253a3878e4e80bf70ce2d5107bc4a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1577,25 +1411,31 @@ "width": null } }, - "8e6e75da45e94500ac3664d6571c19a5": { + "74fee4353095495d9f226fe332cc1259": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", + "model_name": "HBoxModel", "state": { + "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", + "_model_name": "HBoxModel", "_view_count": null, - "_view_module": "@jupyter-widgets/base", + "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c49734db5060444fb92ed63c94ad0dcc", + "IPY_MODEL_23be7ed9ccbd408da27baf5bccd9a8bb", + "IPY_MODEL_1b929639cf644575b18de45cd7024f20" + ], + "layout": "IPY_MODEL_52a04235b3b64c8db21bd301de16b3b6", + "tabbable": null, + "tooltip": null } }, - "b99b680885934cdfa31bc3a843e20724": { + "c49734db5060444fb92ed63c94ad0dcc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1610,15 +1450,33 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_3897024bcca245b1bc58655ded2b9bc5", + "layout": "IPY_MODEL_d01a98a4674847ee9ceb535a10490498", "placeholder": "​", - "style": "IPY_MODEL_086fdb340ddc44499e840c6359ce1479", + "style": "IPY_MODEL_6a0cb4fc0ec8441daefaec8c242c5901", "tabbable": null, "tooltip": null, "value": "model.safetensors: 100%" } }, - "c8047222b06d47abb1cddbdcb8b6aaff": { + "cdb8e1ba4c3c4be787dbf71554bbd39a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "d01a98a4674847ee9ceb535a10490498": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1670,48 +1528,6 @@ "visibility": null, "width": null } - }, - "f15ac1823a7f4e549da71d08245aa9b2": { - "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_c8047222b06d47abb1cddbdcb8b6aaff", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_fb1f241a35b74a80a9334872055927bc", - "tabbable": null, - "tooltip": null, - "value": 102469840.0 - } - }, - "fb1f241a35b74a80a9334872055927bc": { - "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": "" - } } }, "version_major": 2, diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index 673215d3c..04d8b1fb3 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:47.803397Z", - "iopub.status.busy": "2024-04-08T19:13:47.802938Z", - "iopub.status.idle": "2024-04-08T19:13:48.925278Z", - "shell.execute_reply": "2024-04-08T19:13:48.924752Z" + "iopub.execute_input": "2024-04-08T21:54:04.047172Z", + "iopub.status.busy": "2024-04-08T21:54:04.047009Z", + "iopub.status.idle": "2024-04-08T21:54:05.165055Z", + "shell.execute_reply": "2024-04-08T21:54:05.164503Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:13:48.927915Z", - "iopub.status.busy": "2024-04-08T19:13:48.927470Z", - "iopub.status.idle": "2024-04-08T19:13:48.945021Z", - "shell.execute_reply": "2024-04-08T19:13:48.944602Z" + "iopub.execute_input": "2024-04-08T21:54:05.167726Z", + "iopub.status.busy": "2024-04-08T21:54:05.167423Z", + "iopub.status.idle": "2024-04-08T21:54:05.184913Z", + "shell.execute_reply": "2024-04-08T21:54:05.184432Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:48.947242Z", - "iopub.status.busy": "2024-04-08T19:13:48.946736Z", - "iopub.status.idle": "2024-04-08T19:13:48.949732Z", - "shell.execute_reply": "2024-04-08T19:13:48.949294Z" + "iopub.execute_input": "2024-04-08T21:54:05.187353Z", + "iopub.status.busy": "2024-04-08T21:54:05.186846Z", + "iopub.status.idle": "2024-04-08T21:54:05.190514Z", + "shell.execute_reply": "2024-04-08T21:54:05.190045Z" }, "nbsphinx": "hidden" }, @@ -199,10 +199,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:48.951557Z", - "iopub.status.busy": "2024-04-08T19:13:48.951388Z", - "iopub.status.idle": "2024-04-08T19:13:49.150115Z", - "shell.execute_reply": "2024-04-08T19:13:49.149617Z" + "iopub.execute_input": "2024-04-08T21:54:05.192550Z", + "iopub.status.busy": "2024-04-08T21:54:05.192225Z", + "iopub.status.idle": "2024-04-08T21:54:05.229509Z", + "shell.execute_reply": "2024-04-08T21:54:05.229066Z" } }, "outputs": [ @@ -375,10 +375,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.152258Z", - "iopub.status.busy": "2024-04-08T19:13:49.151925Z", - "iopub.status.idle": "2024-04-08T19:13:49.328521Z", - "shell.execute_reply": "2024-04-08T19:13:49.328018Z" + "iopub.execute_input": "2024-04-08T21:54:05.231854Z", + "iopub.status.busy": "2024-04-08T21:54:05.231527Z", + "iopub.status.idle": "2024-04-08T21:54:05.406963Z", + "shell.execute_reply": "2024-04-08T21:54:05.406350Z" }, "nbsphinx": "hidden" }, @@ -418,10 +418,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.330913Z", - "iopub.status.busy": "2024-04-08T19:13:49.330551Z", - "iopub.status.idle": "2024-04-08T19:13:49.538644Z", - "shell.execute_reply": "2024-04-08T19:13:49.538041Z" + "iopub.execute_input": "2024-04-08T21:54:05.409559Z", + "iopub.status.busy": "2024-04-08T21:54:05.409225Z", + "iopub.status.idle": "2024-04-08T21:54:05.616720Z", + "shell.execute_reply": "2024-04-08T21:54:05.616184Z" } }, "outputs": [ @@ -457,10 +457,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.540725Z", - "iopub.status.busy": "2024-04-08T19:13:49.540437Z", - "iopub.status.idle": "2024-04-08T19:13:49.544691Z", - "shell.execute_reply": "2024-04-08T19:13:49.544278Z" + "iopub.execute_input": "2024-04-08T21:54:05.618983Z", + "iopub.status.busy": "2024-04-08T21:54:05.618661Z", + "iopub.status.idle": "2024-04-08T21:54:05.623080Z", + "shell.execute_reply": "2024-04-08T21:54:05.622607Z" } }, "outputs": [], @@ -478,10 +478,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.546581Z", - "iopub.status.busy": "2024-04-08T19:13:49.546300Z", - "iopub.status.idle": "2024-04-08T19:13:49.552461Z", - "shell.execute_reply": "2024-04-08T19:13:49.552021Z" + "iopub.execute_input": "2024-04-08T21:54:05.624968Z", + "iopub.status.busy": "2024-04-08T21:54:05.624702Z", + "iopub.status.idle": "2024-04-08T21:54:05.630945Z", + "shell.execute_reply": "2024-04-08T21:54:05.630505Z" } }, "outputs": [], @@ -528,10 +528,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.554456Z", - "iopub.status.busy": "2024-04-08T19:13:49.554124Z", - "iopub.status.idle": "2024-04-08T19:13:49.556701Z", - "shell.execute_reply": "2024-04-08T19:13:49.556278Z" + "iopub.execute_input": "2024-04-08T21:54:05.632897Z", + "iopub.status.busy": "2024-04-08T21:54:05.632641Z", + "iopub.status.idle": "2024-04-08T21:54:05.635133Z", + "shell.execute_reply": "2024-04-08T21:54:05.634700Z" } }, "outputs": [], @@ -546,10 +546,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:49.558519Z", - "iopub.status.busy": "2024-04-08T19:13:49.558220Z", - "iopub.status.idle": "2024-04-08T19:13:57.783852Z", - "shell.execute_reply": "2024-04-08T19:13:57.783248Z" + "iopub.execute_input": "2024-04-08T21:54:05.637020Z", + "iopub.status.busy": "2024-04-08T21:54:05.636771Z", + "iopub.status.idle": "2024-04-08T21:54:13.976160Z", + "shell.execute_reply": "2024-04-08T21:54:13.975518Z" } }, "outputs": [], @@ -573,10 +573,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.787203Z", - "iopub.status.busy": "2024-04-08T19:13:57.786649Z", - "iopub.status.idle": "2024-04-08T19:13:57.794488Z", - "shell.execute_reply": "2024-04-08T19:13:57.794042Z" + "iopub.execute_input": "2024-04-08T21:54:13.979606Z", + "iopub.status.busy": "2024-04-08T21:54:13.978675Z", + "iopub.status.idle": "2024-04-08T21:54:13.986074Z", + "shell.execute_reply": "2024-04-08T21:54:13.985520Z" } }, "outputs": [ @@ -679,10 +679,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.796488Z", - "iopub.status.busy": "2024-04-08T19:13:57.796215Z", - "iopub.status.idle": "2024-04-08T19:13:57.799641Z", - "shell.execute_reply": "2024-04-08T19:13:57.799235Z" + "iopub.execute_input": "2024-04-08T21:54:13.988007Z", + "iopub.status.busy": "2024-04-08T21:54:13.987835Z", + "iopub.status.idle": "2024-04-08T21:54:13.991555Z", + "shell.execute_reply": "2024-04-08T21:54:13.990998Z" } }, "outputs": [], @@ -697,10 +697,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.801520Z", - "iopub.status.busy": "2024-04-08T19:13:57.801263Z", - "iopub.status.idle": "2024-04-08T19:13:57.804571Z", - "shell.execute_reply": "2024-04-08T19:13:57.804133Z" + "iopub.execute_input": "2024-04-08T21:54:13.993650Z", + "iopub.status.busy": "2024-04-08T21:54:13.993339Z", + "iopub.status.idle": "2024-04-08T21:54:13.996783Z", + "shell.execute_reply": "2024-04-08T21:54:13.996326Z" } }, "outputs": [ @@ -735,10 +735,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.806527Z", - "iopub.status.busy": "2024-04-08T19:13:57.806223Z", - "iopub.status.idle": "2024-04-08T19:13:57.809258Z", - "shell.execute_reply": "2024-04-08T19:13:57.808725Z" + "iopub.execute_input": "2024-04-08T21:54:13.998653Z", + "iopub.status.busy": "2024-04-08T21:54:13.998482Z", + "iopub.status.idle": "2024-04-08T21:54:14.001527Z", + "shell.execute_reply": "2024-04-08T21:54:14.000998Z" } }, "outputs": [], @@ -757,10 +757,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.811263Z", - "iopub.status.busy": "2024-04-08T19:13:57.810959Z", - "iopub.status.idle": "2024-04-08T19:13:57.818786Z", - "shell.execute_reply": "2024-04-08T19:13:57.818238Z" + "iopub.execute_input": "2024-04-08T21:54:14.003459Z", + "iopub.status.busy": "2024-04-08T21:54:14.003158Z", + "iopub.status.idle": "2024-04-08T21:54:14.011211Z", + "shell.execute_reply": "2024-04-08T21:54:14.010679Z" } }, "outputs": [ @@ -884,10 +884,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.820889Z", - "iopub.status.busy": "2024-04-08T19:13:57.820509Z", - "iopub.status.idle": "2024-04-08T19:13:57.823238Z", - "shell.execute_reply": "2024-04-08T19:13:57.822711Z" + "iopub.execute_input": "2024-04-08T21:54:14.013463Z", + "iopub.status.busy": "2024-04-08T21:54:14.012963Z", + "iopub.status.idle": "2024-04-08T21:54:14.015569Z", + "shell.execute_reply": "2024-04-08T21:54:14.015153Z" }, "nbsphinx": "hidden" }, @@ -922,10 +922,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.825125Z", - "iopub.status.busy": "2024-04-08T19:13:57.824848Z", - "iopub.status.idle": "2024-04-08T19:13:57.944411Z", - "shell.execute_reply": "2024-04-08T19:13:57.943830Z" + "iopub.execute_input": "2024-04-08T21:54:14.017646Z", + "iopub.status.busy": "2024-04-08T21:54:14.017253Z", + "iopub.status.idle": "2024-04-08T21:54:14.138417Z", + "shell.execute_reply": "2024-04-08T21:54:14.137851Z" } }, "outputs": [ @@ -964,10 +964,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:57.946652Z", - "iopub.status.busy": "2024-04-08T19:13:57.946416Z", - "iopub.status.idle": "2024-04-08T19:13:58.050381Z", - "shell.execute_reply": "2024-04-08T19:13:58.049796Z" + "iopub.execute_input": "2024-04-08T21:54:14.140668Z", + "iopub.status.busy": "2024-04-08T21:54:14.140489Z", + "iopub.status.idle": "2024-04-08T21:54:14.247854Z", + "shell.execute_reply": "2024-04-08T21:54:14.247268Z" } }, "outputs": [ @@ -1023,10 +1023,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.052902Z", - "iopub.status.busy": "2024-04-08T19:13:58.052525Z", - "iopub.status.idle": "2024-04-08T19:13:58.541282Z", - "shell.execute_reply": "2024-04-08T19:13:58.540644Z" + "iopub.execute_input": "2024-04-08T21:54:14.250059Z", + "iopub.status.busy": "2024-04-08T21:54:14.249882Z", + "iopub.status.idle": "2024-04-08T21:54:14.748368Z", + "shell.execute_reply": "2024-04-08T21:54:14.747830Z" } }, "outputs": [], @@ -1042,10 +1042,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.544024Z", - "iopub.status.busy": "2024-04-08T19:13:58.543626Z", - "iopub.status.idle": "2024-04-08T19:13:58.648994Z", - "shell.execute_reply": "2024-04-08T19:13:58.648352Z" + "iopub.execute_input": "2024-04-08T21:54:14.750868Z", + "iopub.status.busy": "2024-04-08T21:54:14.750527Z", + "iopub.status.idle": "2024-04-08T21:54:14.844174Z", + "shell.execute_reply": "2024-04-08T21:54:14.843571Z" } }, "outputs": [ @@ -1080,10 +1080,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:13:58.651502Z", - "iopub.status.busy": "2024-04-08T19:13:58.651135Z", - "iopub.status.idle": "2024-04-08T19:13:58.659988Z", - "shell.execute_reply": "2024-04-08T19:13:58.659533Z" + "iopub.execute_input": "2024-04-08T21:54:14.846652Z", + "iopub.status.busy": "2024-04-08T21:54:14.846214Z", + "iopub.status.idle": "2024-04-08T21:54:14.855429Z", + "shell.execute_reply": "2024-04-08T21:54:14.854873Z" } }, "outputs": [ @@ -1190,10 +1190,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - 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"iopub.execute_input": "2024-04-08T19:14:04.110851Z", - "iopub.status.busy": "2024-04-08T19:14:04.110406Z", - "iopub.status.idle": "2024-04-08T19:14:04.119270Z", - "shell.execute_reply": "2024-04-08T19:14:04.118848Z" + "iopub.execute_input": "2024-04-08T21:54:20.341510Z", + "iopub.status.busy": "2024-04-08T21:54:20.341326Z", + "iopub.status.idle": "2024-04-08T21:54:20.349878Z", + "shell.execute_reply": "2024-04-08T21:54:20.349436Z" } }, "outputs": [ @@ -1377,10 +1377,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:14:04.121410Z", - "iopub.status.busy": "2024-04-08T19:14:04.120984Z", - "iopub.status.idle": "2024-04-08T19:14:04.185861Z", - "shell.execute_reply": "2024-04-08T19:14:04.185384Z" + "iopub.execute_input": "2024-04-08T21:54:20.351726Z", + "iopub.status.busy": "2024-04-08T21:54:20.351554Z", + "iopub.status.idle": "2024-04-08T21:54:20.415427Z", + "shell.execute_reply": "2024-04-08T21:54:20.414862Z" }, "nbsphinx": "hidden" }, @@ -1437,7 +1437,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - 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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

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    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().

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"2024-04-08T21:54:23.122415Z", + "iopub.status.busy": "2024-04-08T21:54:23.122061Z", + "iopub.status.idle": "2024-04-08T21:54:24.416189Z", + "shell.execute_reply": "2024-04-08T21:54:24.415590Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:14:11.488001Z", - "iopub.status.busy": "2024-04-08T19:14:11.487586Z", - "iopub.status.idle": "2024-04-08T19:15:03.035425Z", - "shell.execute_reply": "2024-04-08T19:15:03.034793Z" + "iopub.execute_input": "2024-04-08T21:54:24.418694Z", + "iopub.status.busy": "2024-04-08T21:54:24.418500Z", + "iopub.status.idle": "2024-04-08T21:55:07.109922Z", + "shell.execute_reply": "2024-04-08T21:55:07.109225Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:03.037988Z", - "iopub.status.busy": "2024-04-08T19:15:03.037617Z", - "iopub.status.idle": "2024-04-08T19:15:04.144423Z", - "shell.execute_reply": "2024-04-08T19:15:04.143898Z" + "iopub.execute_input": "2024-04-08T21:55:07.112387Z", + "iopub.status.busy": "2024-04-08T21:55:07.112201Z", + "iopub.status.idle": "2024-04-08T21:55:08.209130Z", + "shell.execute_reply": "2024-04-08T21:55:08.208588Z" }, "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\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": "2024-04-08T19:15:04.146910Z", - "iopub.status.busy": "2024-04-08T19:15:04.146510Z", - "iopub.status.idle": "2024-04-08T19:15:04.149732Z", - "shell.execute_reply": "2024-04-08T19:15:04.149284Z" + "iopub.execute_input": "2024-04-08T21:55:08.212112Z", + "iopub.status.busy": "2024-04-08T21:55:08.211661Z", + "iopub.status.idle": "2024-04-08T21:55:08.215832Z", + "shell.execute_reply": "2024-04-08T21:55:08.215346Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.151905Z", - "iopub.status.busy": "2024-04-08T19:15:04.151503Z", - "iopub.status.idle": "2024-04-08T19:15:04.155404Z", - "shell.execute_reply": "2024-04-08T19:15:04.154966Z" + "iopub.execute_input": "2024-04-08T21:55:08.217925Z", + "iopub.status.busy": "2024-04-08T21:55:08.217749Z", + "iopub.status.idle": "2024-04-08T21:55:08.221647Z", + "shell.execute_reply": "2024-04-08T21:55:08.221188Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.157319Z", - "iopub.status.busy": "2024-04-08T19:15:04.157012Z", - "iopub.status.idle": "2024-04-08T19:15:04.160392Z", - "shell.execute_reply": "2024-04-08T19:15:04.159984Z" + "iopub.execute_input": "2024-04-08T21:55:08.223541Z", + "iopub.status.busy": "2024-04-08T21:55:08.223369Z", + "iopub.status.idle": "2024-04-08T21:55:08.227045Z", + "shell.execute_reply": "2024-04-08T21:55:08.226509Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.162271Z", - "iopub.status.busy": "2024-04-08T19:15:04.161951Z", - "iopub.status.idle": "2024-04-08T19:15:04.164604Z", - "shell.execute_reply": "2024-04-08T19:15:04.164202Z" + "iopub.execute_input": "2024-04-08T21:55:08.229143Z", + "iopub.status.busy": "2024-04-08T21:55:08.228838Z", + "iopub.status.idle": "2024-04-08T21:55:08.231641Z", + "shell.execute_reply": "2024-04-08T21:55:08.231120Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:15:04.166521Z", - 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"IPY_MODEL_380290952081433398d72252f55f3512", - "max": 4997817.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_c158f6f873284cbaa7be7bbaebbd7763", - "tabbable": null, - "tooltip": null, - "value": 4997817.0 - } - }, - "e5304a7b2a15495792b3302840dc6164": { + "b2b767fc7564407287c0c9bd8e93b0d6": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2277,7 +2286,7 @@ "width": null } }, - "ef987a4e9c5445f2a1965215131e2de0": { + "c5668d6890d047cebf512ce20945534a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2330,7 +2339,33 @@ "width": null } }, - "f618acb94c794f1ba33254b732f3da99": { + "cc0587534da94813a45e26631f06d3d7": { + "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_204564b70f0c4bcbb1045bcbc684abd8", + "max": 4997817.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_64cf2900bd6c4cac991a466cde5b4625", + "tabbable": null, + "tooltip": null, + "value": 4997817.0 + } + }, + "cf2c5305350947e1a649b4ed34a122c0": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2383,7 +2418,25 @@ "width": null } }, - "f80951daaff1439bae07b22f26431578": { + "e55de78b35f047c59235e23a3293b943": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e7391a51221d4e33b893d8334eb51840": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", @@ -2398,16 +2451,16 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_6b76fce815c1461d9f75cd9b932f9d87", - "IPY_MODEL_365979231dd54217a8aac4a279204067", - "IPY_MODEL_ce77d0d3de7c4b089021754738d5ceb4" + "IPY_MODEL_650512de4880455592f1a772ed3c671e", + "IPY_MODEL_27723755a081454fbfef7e167c2f439d", + "IPY_MODEL_30dd84dce5054280a1a65357f5e672b5" ], - "layout": "IPY_MODEL_5abd50f2ff82441194222375826e37c9", + "layout": "IPY_MODEL_011e636f2648451da265e45984d40108", "tabbable": null, "tooltip": null } }, - "fc53622cc52741d8bde9b20fe8c9a3c0": { + "f290b7c52ff24853ab3eebfe3473fc3e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -2424,59 +2477,6 @@ "font_size": null, "text_color": null } - }, - "ffe9b9351b8a4b129d0904a8757b9a46": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "2.0.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "2.0.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border_bottom": null, - "border_left": null, - "border_right": null, - "border_top": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } } }, "version_major": 2, diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html index 0cc09dfcf..9a05d6c30 100644 --- a/master/tutorials/token_classification.html +++ b/master/tutorials/token_classification.html @@ -676,16 +676,16 @@

    1. Install required dependencies and download data 
    ---2024-04-08 19:17:24--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 143.244.49.177, 2400:52e0:1a01::994:1
-Connecting to data.deepai.org (data.deepai.org)|143.244.49.177|:443... connected.
+--2024-04-08 21:57:27--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::718:1
+Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
 
-conll2003.zip       100%[===================>] 959.94K  5.49MB/s    in 0.2s
+conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s
 
-2024-04-08 19:17:24 (5.49 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2024-04-08 21:57:27 (7.37 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 1733ede8c..fb6c01857 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:24.524829Z", - "iopub.status.busy": "2024-04-08T19:17:24.524651Z", - "iopub.status.idle": "2024-04-08T19:17:26.451617Z", - "shell.execute_reply": "2024-04-08T19:17:26.450937Z" + "iopub.execute_input": "2024-04-08T21:57:27.121145Z", + "iopub.status.busy": "2024-04-08T21:57:27.120960Z", + "iopub.status.idle": "2024-04-08T21:57:28.306719Z", + "shell.execute_reply": "2024-04-08T21:57:28.306025Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-08 19:17:24-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-04-08 21:57:27-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,8 +94,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "143.244.49.177, 2400:52e0:1a01::994:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.49.177|:443... connected.\r\n", + "169.150.236.97, 2400:52e0:1a00::718:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... connected.\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "HTTP request sent, awaiting response... " ] }, @@ -116,9 +122,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K 5.49MB/s in 0.2s \r\n", + "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", "\r\n", - "2024-04-08 19:17:24 (5.49 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-04-08 21:57:27 (7.37 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -138,22 +144,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-04-08 19:17:25-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.130.187, 54.231.165.233, 52.216.62.161, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.130.187|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "--2024-04-08 21:57:27-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.28.229, 54.231.228.217, 52.217.108.68, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.28.229|:443... connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -174,26 +167,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 1%[ ] 211.53K 926KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 22%[===> ] 3.71M 8.12MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 94%[=================> ] 15.37M 22.6MB/s \r", - "pred_probs.npz 100%[===================>] 16.26M 23.5MB/s in 0.7s \r\n", + "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.08s \r\n", "\r\n", - "2024-04-08 19:17:26 (23.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-04-08 21:57:28 (210 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -210,10 +186,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:26.454458Z", - "iopub.status.busy": "2024-04-08T19:17:26.454223Z", - "iopub.status.idle": "2024-04-08T19:17:27.676181Z", - "shell.execute_reply": "2024-04-08T19:17:27.675698Z" + "iopub.execute_input": "2024-04-08T21:57:28.309489Z", + "iopub.status.busy": "2024-04-08T21:57:28.309052Z", + "iopub.status.idle": "2024-04-08T21:57:29.535134Z", + "shell.execute_reply": "2024-04-08T21:57:29.534610Z" }, "nbsphinx": "hidden" }, @@ -224,7 +200,7 @@ "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@cc319efea07da004d1544c0577402d71f309fa06\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@5eaeb983f10365ef634bc0cd24297f9c84eecee4\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -250,10 +226,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.678806Z", - "iopub.status.busy": "2024-04-08T19:17:27.678375Z", - "iopub.status.idle": "2024-04-08T19:17:27.681955Z", - "shell.execute_reply": "2024-04-08T19:17:27.681515Z" + "iopub.execute_input": "2024-04-08T21:57:29.537745Z", + "iopub.status.busy": "2024-04-08T21:57:29.537249Z", + "iopub.status.idle": "2024-04-08T21:57:29.540684Z", + "shell.execute_reply": "2024-04-08T21:57:29.540158Z" } }, "outputs": [], @@ -303,10 +279,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.683962Z", - "iopub.status.busy": "2024-04-08T19:17:27.683699Z", - "iopub.status.idle": "2024-04-08T19:17:27.686524Z", - "shell.execute_reply": "2024-04-08T19:17:27.686095Z" + "iopub.execute_input": "2024-04-08T21:57:29.542659Z", + "iopub.status.busy": "2024-04-08T21:57:29.542362Z", + "iopub.status.idle": "2024-04-08T21:57:29.545192Z", + "shell.execute_reply": "2024-04-08T21:57:29.544763Z" }, "nbsphinx": "hidden" }, @@ -324,10 +300,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:27.688377Z", - "iopub.status.busy": "2024-04-08T19:17:27.688200Z", - "iopub.status.idle": "2024-04-08T19:17:36.852616Z", - "shell.execute_reply": "2024-04-08T19:17:36.852071Z" + "iopub.execute_input": "2024-04-08T21:57:29.547108Z", + "iopub.status.busy": "2024-04-08T21:57:29.546932Z", + "iopub.status.idle": "2024-04-08T21:57:38.503471Z", + "shell.execute_reply": "2024-04-08T21:57:38.502921Z" } }, "outputs": [], @@ -401,10 +377,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:36.855120Z", - "iopub.status.busy": "2024-04-08T19:17:36.854821Z", - "iopub.status.idle": "2024-04-08T19:17:36.860286Z", - "shell.execute_reply": "2024-04-08T19:17:36.859865Z" + "iopub.execute_input": "2024-04-08T21:57:38.505745Z", + "iopub.status.busy": "2024-04-08T21:57:38.505533Z", + "iopub.status.idle": "2024-04-08T21:57:38.511025Z", + "shell.execute_reply": "2024-04-08T21:57:38.510480Z" }, "nbsphinx": "hidden" }, @@ -444,10 +420,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:36.862236Z", - "iopub.status.busy": "2024-04-08T19:17:36.861904Z", - "iopub.status.idle": "2024-04-08T19:17:37.207147Z", - "shell.execute_reply": "2024-04-08T19:17:37.206565Z" + "iopub.execute_input": "2024-04-08T21:57:38.512954Z", + "iopub.status.busy": "2024-04-08T21:57:38.512667Z", + "iopub.status.idle": "2024-04-08T21:57:38.850937Z", + "shell.execute_reply": "2024-04-08T21:57:38.850274Z" } }, "outputs": [], @@ -484,10 +460,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:37.209618Z", - "iopub.status.busy": "2024-04-08T19:17:37.209283Z", - "iopub.status.idle": "2024-04-08T19:17:37.213376Z", - "shell.execute_reply": "2024-04-08T19:17:37.212864Z" + "iopub.execute_input": "2024-04-08T21:57:38.853325Z", + "iopub.status.busy": "2024-04-08T21:57:38.852997Z", + "iopub.status.idle": "2024-04-08T21:57:38.857421Z", + "shell.execute_reply": "2024-04-08T21:57:38.856864Z" } }, "outputs": [ @@ -559,10 +535,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:37.215394Z", - "iopub.status.busy": "2024-04-08T19:17:37.215083Z", - "iopub.status.idle": "2024-04-08T19:17:39.552115Z", - "shell.execute_reply": "2024-04-08T19:17:39.551400Z" + "iopub.execute_input": "2024-04-08T21:57:38.859500Z", + "iopub.status.busy": "2024-04-08T21:57:38.859081Z", + "iopub.status.idle": "2024-04-08T21:57:41.179261Z", + "shell.execute_reply": "2024-04-08T21:57:41.178473Z" } }, "outputs": [], @@ -584,10 +560,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.555424Z", - "iopub.status.busy": "2024-04-08T19:17:39.554614Z", - "iopub.status.idle": "2024-04-08T19:17:39.558938Z", - "shell.execute_reply": "2024-04-08T19:17:39.558474Z" + "iopub.execute_input": "2024-04-08T21:57:41.182273Z", + "iopub.status.busy": "2024-04-08T21:57:41.181736Z", + "iopub.status.idle": "2024-04-08T21:57:41.185821Z", + "shell.execute_reply": "2024-04-08T21:57:41.185317Z" } }, "outputs": [ @@ -623,10 +599,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.560894Z", - "iopub.status.busy": "2024-04-08T19:17:39.560573Z", - "iopub.status.idle": "2024-04-08T19:17:39.565814Z", - "shell.execute_reply": "2024-04-08T19:17:39.565368Z" + "iopub.execute_input": "2024-04-08T21:57:41.187927Z", + "iopub.status.busy": "2024-04-08T21:57:41.187604Z", + "iopub.status.idle": "2024-04-08T21:57:41.192646Z", + "shell.execute_reply": "2024-04-08T21:57:41.192127Z" } }, "outputs": [ @@ -804,10 +780,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.567759Z", - "iopub.status.busy": "2024-04-08T19:17:39.567433Z", - "iopub.status.idle": "2024-04-08T19:17:39.593200Z", - "shell.execute_reply": "2024-04-08T19:17:39.592668Z" + "iopub.execute_input": "2024-04-08T21:57:41.194666Z", + "iopub.status.busy": "2024-04-08T21:57:41.194347Z", + "iopub.status.idle": "2024-04-08T21:57:41.220015Z", + "shell.execute_reply": "2024-04-08T21:57:41.219564Z" } }, "outputs": [ @@ -909,10 +885,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.595168Z", - "iopub.status.busy": "2024-04-08T19:17:39.594990Z", - "iopub.status.idle": "2024-04-08T19:17:39.599302Z", - "shell.execute_reply": "2024-04-08T19:17:39.598861Z" + "iopub.execute_input": "2024-04-08T21:57:41.221917Z", + "iopub.status.busy": "2024-04-08T21:57:41.221744Z", + "iopub.status.idle": "2024-04-08T21:57:41.225821Z", + "shell.execute_reply": "2024-04-08T21:57:41.225266Z" } }, "outputs": [ @@ -986,10 +962,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:39.601340Z", - "iopub.status.busy": "2024-04-08T19:17:39.600975Z", - "iopub.status.idle": "2024-04-08T19:17:41.028748Z", - "shell.execute_reply": "2024-04-08T19:17:41.028272Z" + "iopub.execute_input": "2024-04-08T21:57:41.227702Z", + "iopub.status.busy": "2024-04-08T21:57:41.227531Z", + "iopub.status.idle": "2024-04-08T21:57:42.606115Z", + "shell.execute_reply": "2024-04-08T21:57:42.605555Z" } }, "outputs": [ @@ -1161,10 +1137,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-04-08T19:17:41.030867Z", - "iopub.status.busy": "2024-04-08T19:17:41.030672Z", - "iopub.status.idle": "2024-04-08T19:17:41.034715Z", - "shell.execute_reply": "2024-04-08T19:17:41.034283Z" + "iopub.execute_input": "2024-04-08T21:57:42.608339Z", + "iopub.status.busy": "2024-04-08T21:57:42.608000Z", + "iopub.status.idle": "2024-04-08T21:57:42.612035Z", + "shell.execute_reply": "2024-04-08T21:57:42.611599Z" }, "nbsphinx": "hidden" }, @@ -1197,7 +1173,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/versioning.js b/versioning.js index 4db28125d..38a85b9db 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.6.3", - commit_hash: "cc319efea07da004d1544c0577402d71f309fa06", + commit_hash: "5eaeb983f10365ef634bc0cd24297f9c84eecee4", }; \ No newline at end of file