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b/master/.doctrees/environment.pickle differ diff --git a/master/.doctrees/index.doctree b/master/.doctrees/index.doctree index a45c46f6f..f013f3ac9 100644 Binary files a/master/.doctrees/index.doctree and b/master/.doctrees/index.doctree differ diff --git a/master/.doctrees/migrating/migrate_v2.doctree b/master/.doctrees/migrating/migrate_v2.doctree index 68c86ea12..3910d569e 100644 Binary files a/master/.doctrees/migrating/migrate_v2.doctree and b/master/.doctrees/migrating/migrate_v2.doctree differ diff --git a/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb index 99cc5344e..ccf2e1080 100644 --- a/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/clean_learning/tabular.ipynb @@ -113,10 +113,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:05.992281Z", - "iopub.status.busy": "2024-06-19T19:13:05.992103Z", - "iopub.status.idle": "2024-06-19T19:13:07.220654Z", - "shell.execute_reply": "2024-06-19T19:13:07.220079Z" + "iopub.execute_input": "2024-06-25T15:01:44.210466Z", + "iopub.status.busy": "2024-06-25T15:01:44.210033Z", + "iopub.status.idle": "2024-06-25T15:01:45.515099Z", + "shell.execute_reply": "2024-06-25T15:01:45.514552Z" }, "nbsphinx": "hidden" }, @@ -126,7 +126,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -151,10 +151,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.223345Z", - "iopub.status.busy": "2024-06-19T19:13:07.222936Z", - "iopub.status.idle": "2024-06-19T19:13:07.241828Z", - "shell.execute_reply": "2024-06-19T19:13:07.241338Z" + "iopub.execute_input": "2024-06-25T15:01:45.518064Z", + "iopub.status.busy": "2024-06-25T15:01:45.517573Z", + "iopub.status.idle": "2024-06-25T15:01:45.536889Z", + "shell.execute_reply": "2024-06-25T15:01:45.536276Z" } }, "outputs": [], @@ -195,10 +195,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.244569Z", - "iopub.status.busy": "2024-06-19T19:13:07.244123Z", - "iopub.status.idle": "2024-06-19T19:13:07.353379Z", - "shell.execute_reply": "2024-06-19T19:13:07.352817Z" + "iopub.execute_input": "2024-06-25T15:01:45.539480Z", + "iopub.status.busy": "2024-06-25T15:01:45.539180Z", + "iopub.status.idle": "2024-06-25T15:01:45.675081Z", + "shell.execute_reply": "2024-06-25T15:01:45.674481Z" } }, "outputs": [ @@ -305,10 +305,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.384426Z", - "iopub.status.busy": "2024-06-19T19:13:07.383909Z", - "iopub.status.idle": "2024-06-19T19:13:07.388104Z", - "shell.execute_reply": "2024-06-19T19:13:07.387619Z" + "iopub.execute_input": "2024-06-25T15:01:45.709224Z", + "iopub.status.busy": "2024-06-25T15:01:45.708793Z", + "iopub.status.idle": "2024-06-25T15:01:45.712610Z", + "shell.execute_reply": "2024-06-25T15:01:45.712119Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.390073Z", - "iopub.status.busy": "2024-06-19T19:13:07.389893Z", - "iopub.status.idle": "2024-06-19T19:13:07.398271Z", - "shell.execute_reply": "2024-06-19T19:13:07.397839Z" + "iopub.execute_input": "2024-06-25T15:01:45.714729Z", + "iopub.status.busy": "2024-06-25T15:01:45.714392Z", + "iopub.status.idle": "2024-06-25T15:01:45.722965Z", + "shell.execute_reply": "2024-06-25T15:01:45.722410Z" } }, "outputs": [], @@ -384,10 +384,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.400568Z", - "iopub.status.busy": "2024-06-19T19:13:07.400144Z", - "iopub.status.idle": "2024-06-19T19:13:07.402970Z", - "shell.execute_reply": "2024-06-19T19:13:07.402425Z" + "iopub.execute_input": "2024-06-25T15:01:45.725077Z", + "iopub.status.busy": "2024-06-25T15:01:45.724896Z", + "iopub.status.idle": "2024-06-25T15:01:45.727695Z", + "shell.execute_reply": "2024-06-25T15:01:45.727101Z" } }, "outputs": [], @@ -409,10 +409,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.405030Z", - "iopub.status.busy": "2024-06-19T19:13:07.404638Z", - "iopub.status.idle": "2024-06-19T19:13:07.932245Z", - "shell.execute_reply": "2024-06-19T19:13:07.931617Z" + "iopub.execute_input": "2024-06-25T15:01:45.729642Z", + "iopub.status.busy": "2024-06-25T15:01:45.729468Z", + "iopub.status.idle": "2024-06-25T15:01:46.265625Z", + "shell.execute_reply": "2024-06-25T15:01:46.264963Z" } }, "outputs": [], @@ -446,10 +446,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.934938Z", - "iopub.status.busy": "2024-06-19T19:13:07.934682Z", - "iopub.status.idle": "2024-06-19T19:13:09.848580Z", - "shell.execute_reply": "2024-06-19T19:13:09.847980Z" + "iopub.execute_input": "2024-06-25T15:01:46.268663Z", + "iopub.status.busy": "2024-06-25T15:01:46.268173Z", + "iopub.status.idle": "2024-06-25T15:01:48.217776Z", + "shell.execute_reply": "2024-06-25T15:01:48.217164Z" } }, "outputs": [ @@ -481,10 +481,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.851288Z", - "iopub.status.busy": "2024-06-19T19:13:09.850615Z", - "iopub.status.idle": "2024-06-19T19:13:09.860714Z", - "shell.execute_reply": "2024-06-19T19:13:09.860220Z" + "iopub.execute_input": "2024-06-25T15:01:48.220484Z", + "iopub.status.busy": "2024-06-25T15:01:48.219877Z", + "iopub.status.idle": "2024-06-25T15:01:48.230622Z", + "shell.execute_reply": "2024-06-25T15:01:48.230137Z" } }, "outputs": [ @@ -605,10 +605,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.862808Z", - "iopub.status.busy": "2024-06-19T19:13:09.862555Z", - "iopub.status.idle": "2024-06-19T19:13:09.866600Z", - "shell.execute_reply": "2024-06-19T19:13:09.866193Z" + "iopub.execute_input": "2024-06-25T15:01:48.232874Z", + "iopub.status.busy": "2024-06-25T15:01:48.232674Z", + "iopub.status.idle": "2024-06-25T15:01:48.237233Z", + "shell.execute_reply": "2024-06-25T15:01:48.236692Z" } }, "outputs": [], @@ -633,10 +633,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.868701Z", - "iopub.status.busy": "2024-06-19T19:13:09.868381Z", - "iopub.status.idle": "2024-06-19T19:13:09.875547Z", - "shell.execute_reply": "2024-06-19T19:13:09.875091Z" + "iopub.execute_input": "2024-06-25T15:01:48.239352Z", + "iopub.status.busy": "2024-06-25T15:01:48.239163Z", + "iopub.status.idle": "2024-06-25T15:01:48.246761Z", + "shell.execute_reply": "2024-06-25T15:01:48.246216Z" } }, "outputs": [], @@ -658,10 +658,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.877745Z", - "iopub.status.busy": "2024-06-19T19:13:09.877337Z", - "iopub.status.idle": "2024-06-19T19:13:09.991009Z", - "shell.execute_reply": "2024-06-19T19:13:09.990354Z" + "iopub.execute_input": "2024-06-25T15:01:48.249302Z", + "iopub.status.busy": "2024-06-25T15:01:48.248895Z", + "iopub.status.idle": "2024-06-25T15:01:48.364612Z", + "shell.execute_reply": "2024-06-25T15:01:48.364100Z" } }, "outputs": [ @@ -691,10 +691,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.993352Z", - "iopub.status.busy": "2024-06-19T19:13:09.992959Z", - "iopub.status.idle": "2024-06-19T19:13:09.995837Z", - "shell.execute_reply": "2024-06-19T19:13:09.995394Z" + "iopub.execute_input": "2024-06-25T15:01:48.366981Z", + "iopub.status.busy": "2024-06-25T15:01:48.366559Z", + "iopub.status.idle": "2024-06-25T15:01:48.369555Z", + "shell.execute_reply": "2024-06-25T15:01:48.369084Z" } }, "outputs": [], @@ -715,10 +715,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.997958Z", - "iopub.status.busy": "2024-06-19T19:13:09.997634Z", - "iopub.status.idle": "2024-06-19T19:13:12.005175Z", - "shell.execute_reply": "2024-06-19T19:13:12.004490Z" + "iopub.execute_input": "2024-06-25T15:01:48.371662Z", + "iopub.status.busy": "2024-06-25T15:01:48.371309Z", + "iopub.status.idle": "2024-06-25T15:01:50.418139Z", + "shell.execute_reply": "2024-06-25T15:01:50.417343Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:12.008225Z", - "iopub.status.busy": "2024-06-19T19:13:12.007462Z", - "iopub.status.idle": "2024-06-19T19:13:12.019330Z", - "shell.execute_reply": "2024-06-19T19:13:12.018873Z" + "iopub.execute_input": "2024-06-25T15:01:50.421433Z", + "iopub.status.busy": "2024-06-25T15:01:50.420700Z", + "iopub.status.idle": "2024-06-25T15:01:50.433080Z", + "shell.execute_reply": "2024-06-25T15:01:50.432500Z" } }, "outputs": [ @@ -771,10 +771,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:12.021679Z", - "iopub.status.busy": "2024-06-19T19:13:12.021283Z", - "iopub.status.idle": "2024-06-19T19:13:12.077773Z", - "shell.execute_reply": "2024-06-19T19:13:12.077172Z" + "iopub.execute_input": "2024-06-25T15:01:50.435410Z", + "iopub.status.busy": "2024-06-25T15:01:50.435087Z", + "iopub.status.idle": "2024-06-25T15:01:50.473924Z", + "shell.execute_reply": "2024-06-25T15:01:50.473290Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb b/master/.doctrees/nbsphinx/tutorials/clean_learning/text.ipynb index f4eb558e7..4899defaa 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": "2024-06-19T19:13:16.581923Z", - "iopub.status.busy": "2024-06-19T19:13:16.581741Z", - "iopub.status.idle": "2024-06-19T19:13:19.609277Z", - "shell.execute_reply": "2024-06-19T19:13:19.608766Z" + "iopub.execute_input": "2024-06-25T15:01:53.780398Z", + "iopub.status.busy": "2024-06-25T15:01:53.780232Z", + "iopub.status.idle": "2024-06-25T15:01:56.912617Z", + "shell.execute_reply": "2024-06-25T15:01:56.911965Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:13:19.611940Z", - "iopub.status.busy": "2024-06-19T19:13:19.611485Z", - "iopub.status.idle": "2024-06-19T19:13:19.614760Z", - "shell.execute_reply": "2024-06-19T19:13:19.614336Z" + "iopub.execute_input": "2024-06-25T15:01:56.915217Z", + "iopub.status.busy": "2024-06-25T15:01:56.914879Z", + "iopub.status.idle": "2024-06-25T15:01:56.918507Z", + "shell.execute_reply": "2024-06-25T15:01:56.918065Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.616662Z", - "iopub.status.busy": "2024-06-19T19:13:19.616400Z", - "iopub.status.idle": "2024-06-19T19:13:19.619393Z", - "shell.execute_reply": "2024-06-19T19:13:19.618967Z" + "iopub.execute_input": "2024-06-25T15:01:56.920542Z", + "iopub.status.busy": "2024-06-25T15:01:56.920216Z", + "iopub.status.idle": "2024-06-25T15:01:56.923484Z", + "shell.execute_reply": "2024-06-25T15:01:56.922920Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.621501Z", - "iopub.status.busy": "2024-06-19T19:13:19.621077Z", - "iopub.status.idle": "2024-06-19T19:13:19.648165Z", - "shell.execute_reply": "2024-06-19T19:13:19.647618Z" + "iopub.execute_input": "2024-06-25T15:01:56.925653Z", + "iopub.status.busy": "2024-06-25T15:01:56.925222Z", + "iopub.status.idle": "2024-06-25T15:01:56.966287Z", + "shell.execute_reply": "2024-06-25T15:01:56.965678Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.650130Z", - "iopub.status.busy": "2024-06-19T19:13:19.649949Z", - "iopub.status.idle": "2024-06-19T19:13:19.653780Z", - "shell.execute_reply": "2024-06-19T19:13:19.653251Z" + "iopub.execute_input": "2024-06-25T15:01:56.968774Z", + "iopub.status.busy": "2024-06-25T15:01:56.968352Z", + "iopub.status.idle": "2024-06-25T15:01:56.972408Z", + "shell.execute_reply": "2024-06-25T15:01:56.971945Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.655728Z", - "iopub.status.busy": "2024-06-19T19:13:19.655462Z", - "iopub.status.idle": "2024-06-19T19:13:19.658726Z", - "shell.execute_reply": "2024-06-19T19:13:19.658213Z" + "iopub.execute_input": "2024-06-25T15:01:56.975695Z", + "iopub.status.busy": "2024-06-25T15:01:56.974365Z", + "iopub.status.idle": "2024-06-25T15:01:56.978956Z", + "shell.execute_reply": "2024-06-25T15:01:56.978424Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'card_payment_fee_charged', 'apple_pay_or_google_pay', 'change_pin', 'supported_cards_and_currencies', 'visa_or_mastercard', 'beneficiary_not_allowed', 'cancel_transfer', 'card_about_to_expire', 'lost_or_stolen_phone', 'getting_spare_card'}\n" + "Classes: {'card_about_to_expire', 'getting_spare_card', 'change_pin', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'visa_or_mastercard', 'card_payment_fee_charged', 'cancel_transfer', 'apple_pay_or_google_pay', 'lost_or_stolen_phone'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.660758Z", - "iopub.status.busy": "2024-06-19T19:13:19.660381Z", - "iopub.status.idle": "2024-06-19T19:13:19.663556Z", - "shell.execute_reply": "2024-06-19T19:13:19.663016Z" + "iopub.execute_input": "2024-06-25T15:01:56.981270Z", + "iopub.status.busy": "2024-06-25T15:01:56.980905Z", + "iopub.status.idle": "2024-06-25T15:01:56.984145Z", + "shell.execute_reply": "2024-06-25T15:01:56.983607Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.665629Z", - "iopub.status.busy": "2024-06-19T19:13:19.665315Z", - "iopub.status.idle": "2024-06-19T19:13:19.668463Z", - "shell.execute_reply": "2024-06-19T19:13:19.668008Z" + "iopub.execute_input": "2024-06-25T15:01:56.986343Z", + "iopub.status.busy": "2024-06-25T15:01:56.986027Z", + "iopub.status.idle": "2024-06-25T15:01:56.989549Z", + "shell.execute_reply": "2024-06-25T15:01:56.989071Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.670515Z", - "iopub.status.busy": "2024-06-19T19:13:19.670224Z", - "iopub.status.idle": "2024-06-19T19:13:24.058839Z", - "shell.execute_reply": "2024-06-19T19:13:24.058285Z" + "iopub.execute_input": "2024-06-25T15:01:56.991498Z", + "iopub.status.busy": "2024-06-25T15:01:56.991316Z", + "iopub.status.idle": "2024-06-25T15:02:01.303453Z", + "shell.execute_reply": "2024-06-25T15:02:01.302875Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2978d58647a4d4bb8cf666ca7ae71de", + "model_id": "766189f555ae4a1588fb3238bacfd209", "version_major": 2, "version_minor": 0 }, @@ -477,7 +477,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99ce04b28e3a484b9933f72981a52419", + "model_id": "f87e6441b274424db0a957c4d8049d8a", "version_major": 2, "version_minor": 0 }, @@ -491,7 +491,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "84987e7069a040deaa24f7856a4b01ad", + "model_id": "8e4573277feb4466af64443afc2abc3d", "version_major": 2, "version_minor": 0 }, @@ -505,7 +505,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a9bb6466d1ba4951b164e17a33517554", + "model_id": "41475d21e4424b98b04954365f7fe679", "version_major": 2, "version_minor": 0 }, @@ -519,7 +519,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f2e4d9efd9194dd095e532cb483d9267", + "model_id": "3dd8436734ce4436b531d61768cb7839", "version_major": 2, "version_minor": 0 }, @@ -533,7 +533,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "82afe5ac9f2d4168bb3efe4d261e47de", + "model_id": "e704dc9524764a4c866ac8dae48ee954", "version_major": 2, "version_minor": 0 }, @@ -547,7 +547,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "eb55b901c08d44869813de690e4758c4", + "model_id": "e9d78c3323c94ba99707e480b29e93ac", "version_major": 2, "version_minor": 0 }, @@ -609,10 +609,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:24.061588Z", - "iopub.status.busy": "2024-06-19T19:13:24.061202Z", - "iopub.status.idle": "2024-06-19T19:13:24.064282Z", - "shell.execute_reply": "2024-06-19T19:13:24.063765Z" + "iopub.execute_input": "2024-06-25T15:02:01.306248Z", + "iopub.status.busy": "2024-06-25T15:02:01.306035Z", + "iopub.status.idle": "2024-06-25T15:02:01.308879Z", + "shell.execute_reply": "2024-06-25T15:02:01.308447Z" } }, "outputs": [], @@ -634,10 +634,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:24.066340Z", - "iopub.status.busy": "2024-06-19T19:13:24.066024Z", - "iopub.status.idle": "2024-06-19T19:13:24.068531Z", - "shell.execute_reply": "2024-06-19T19:13:24.068107Z" + "iopub.execute_input": "2024-06-25T15:02:01.310809Z", + "iopub.status.busy": "2024-06-25T15:02:01.310624Z", + "iopub.status.idle": "2024-06-25T15:02:01.313252Z", + "shell.execute_reply": "2024-06-25T15:02:01.312823Z" } }, "outputs": [], @@ -652,10 +652,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:24.070448Z", - "iopub.status.busy": "2024-06-19T19:13:24.070116Z", - "iopub.status.idle": "2024-06-19T19:13:26.788727Z", - "shell.execute_reply": "2024-06-19T19:13:26.788094Z" + "iopub.execute_input": "2024-06-25T15:02:01.315044Z", + "iopub.status.busy": "2024-06-25T15:02:01.314867Z", + "iopub.status.idle": "2024-06-25T15:02:04.255254Z", + "shell.execute_reply": "2024-06-25T15:02:04.254621Z" }, "scrolled": true }, @@ -678,10 +678,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.791573Z", - "iopub.status.busy": "2024-06-19T19:13:26.790975Z", - "iopub.status.idle": "2024-06-19T19:13:26.798494Z", - "shell.execute_reply": "2024-06-19T19:13:26.798047Z" + "iopub.execute_input": "2024-06-25T15:02:04.258228Z", + "iopub.status.busy": "2024-06-25T15:02:04.257607Z", + "iopub.status.idle": "2024-06-25T15:02:04.265624Z", + "shell.execute_reply": "2024-06-25T15:02:04.265070Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.800704Z", - "iopub.status.busy": "2024-06-19T19:13:26.800287Z", - "iopub.status.idle": "2024-06-19T19:13:26.804097Z", - "shell.execute_reply": "2024-06-19T19:13:26.803615Z" + "iopub.execute_input": "2024-06-25T15:02:04.267797Z", + "iopub.status.busy": "2024-06-25T15:02:04.267592Z", + "iopub.status.idle": "2024-06-25T15:02:04.272257Z", + "shell.execute_reply": "2024-06-25T15:02:04.271790Z" } }, "outputs": [], @@ -799,10 +799,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.805944Z", - "iopub.status.busy": "2024-06-19T19:13:26.805768Z", - "iopub.status.idle": "2024-06-19T19:13:26.808929Z", - "shell.execute_reply": "2024-06-19T19:13:26.808386Z" + "iopub.execute_input": "2024-06-25T15:02:04.274357Z", + "iopub.status.busy": "2024-06-25T15:02:04.274023Z", + "iopub.status.idle": "2024-06-25T15:02:04.277439Z", + 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"description_width": "" } } }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/audio.ipynb index dbb1daf78..dc239703c 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": "2024-06-19T19:13:31.724474Z", - "iopub.status.busy": "2024-06-19T19:13:31.723866Z", - "iopub.status.idle": "2024-06-19T19:13:37.133460Z", - "shell.execute_reply": "2024-06-19T19:13:37.132903Z" + "iopub.execute_input": "2024-06-25T15:02:08.176130Z", + "iopub.status.busy": "2024-06-25T15:02:08.175897Z", + "iopub.status.idle": "2024-06-25T15:02:15.244517Z", + "shell.execute_reply": "2024-06-25T15:02:15.243853Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:13:37.136175Z", - "iopub.status.busy": "2024-06-19T19:13:37.135678Z", - "iopub.status.idle": "2024-06-19T19:13:37.138925Z", - "shell.execute_reply": "2024-06-19T19:13:37.138480Z" + "iopub.execute_input": "2024-06-25T15:02:15.247297Z", + "iopub.status.busy": "2024-06-25T15:02:15.246795Z", + "iopub.status.idle": "2024-06-25T15:02:15.250165Z", + "shell.execute_reply": "2024-06-25T15:02:15.249626Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:37.141011Z", - "iopub.status.busy": "2024-06-19T19:13:37.140685Z", - "iopub.status.idle": "2024-06-19T19:13:37.145034Z", - "shell.execute_reply": "2024-06-19T19:13:37.144611Z" + "iopub.execute_input": "2024-06-25T15:02:15.252170Z", + "iopub.status.busy": "2024-06-25T15:02:15.251863Z", + "iopub.status.idle": "2024-06-25T15:02:15.256520Z", + "shell.execute_reply": "2024-06-25T15:02:15.255970Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:37.147096Z", - "iopub.status.busy": "2024-06-19T19:13:37.146770Z", - "iopub.status.idle": "2024-06-19T19:13:38.648451Z", - "shell.execute_reply": "2024-06-19T19:13:38.647790Z" + "iopub.execute_input": "2024-06-25T15:02:15.258543Z", + "iopub.status.busy": "2024-06-25T15:02:15.258235Z", + "iopub.status.idle": "2024-06-25T15:02:16.884738Z", + "shell.execute_reply": "2024-06-25T15:02:16.884101Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.651240Z", - "iopub.status.busy": "2024-06-19T19:13:38.650848Z", - "iopub.status.idle": "2024-06-19T19:13:38.661633Z", - "shell.execute_reply": "2024-06-19T19:13:38.661051Z" + "iopub.execute_input": "2024-06-25T15:02:16.887448Z", + "iopub.status.busy": "2024-06-25T15:02:16.887076Z", + "iopub.status.idle": "2024-06-25T15:02:16.897643Z", + "shell.execute_reply": "2024-06-25T15:02:16.897098Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.663800Z", - "iopub.status.busy": "2024-06-19T19:13:38.663531Z", - "iopub.status.idle": "2024-06-19T19:13:38.668825Z", - "shell.execute_reply": "2024-06-19T19:13:38.668374Z" + "iopub.execute_input": "2024-06-25T15:02:16.899757Z", + "iopub.status.busy": "2024-06-25T15:02:16.899558Z", + "iopub.status.idle": "2024-06-25T15:02:16.904954Z", + "shell.execute_reply": "2024-06-25T15:02:16.904415Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.670895Z", - "iopub.status.busy": "2024-06-19T19:13:38.670564Z", - "iopub.status.idle": "2024-06-19T19:13:39.134781Z", - "shell.execute_reply": "2024-06-19T19:13:39.134211Z" + "iopub.execute_input": "2024-06-25T15:02:16.907000Z", + "iopub.status.busy": "2024-06-25T15:02:16.906695Z", + "iopub.status.idle": "2024-06-25T15:02:17.344696Z", + "shell.execute_reply": "2024-06-25T15:02:17.344197Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.136921Z", - "iopub.status.busy": "2024-06-19T19:13:39.136731Z", - "iopub.status.idle": "2024-06-19T19:13:39.806863Z", - "shell.execute_reply": "2024-06-19T19:13:39.806234Z" + "iopub.execute_input": "2024-06-25T15:02:17.346815Z", + "iopub.status.busy": "2024-06-25T15:02:17.346622Z", + "iopub.status.idle": "2024-06-25T15:02:17.873302Z", + "shell.execute_reply": "2024-06-25T15:02:17.872795Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.809355Z", - "iopub.status.busy": "2024-06-19T19:13:39.809000Z", - "iopub.status.idle": "2024-06-19T19:13:39.827351Z", - "shell.execute_reply": "2024-06-19T19:13:39.826843Z" + "iopub.execute_input": "2024-06-25T15:02:17.875838Z", + "iopub.status.busy": "2024-06-25T15:02:17.875532Z", + "iopub.status.idle": "2024-06-25T15:02:17.894363Z", + "shell.execute_reply": "2024-06-25T15:02:17.893825Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.829649Z", - "iopub.status.busy": "2024-06-19T19:13:39.829305Z", - "iopub.status.idle": "2024-06-19T19:13:39.832484Z", - "shell.execute_reply": "2024-06-19T19:13:39.832008Z" + "iopub.execute_input": "2024-06-25T15:02:17.896418Z", + "iopub.status.busy": "2024-06-25T15:02:17.896157Z", + "iopub.status.idle": "2024-06-25T15:02:17.899239Z", + "shell.execute_reply": "2024-06-25T15:02:17.898819Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.834683Z", - "iopub.status.busy": "2024-06-19T19:13:39.834359Z", - "iopub.status.idle": "2024-06-19T19:13:54.632116Z", - "shell.execute_reply": "2024-06-19T19:13:54.631530Z" + "iopub.execute_input": "2024-06-25T15:02:17.901266Z", + "iopub.status.busy": "2024-06-25T15:02:17.900893Z", + "iopub.status.idle": "2024-06-25T15:02:33.164898Z", + "shell.execute_reply": "2024-06-25T15:02:33.164163Z" }, "id": "2FSQ2GR9R_YA" }, @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:54.634785Z", - "iopub.status.busy": "2024-06-19T19:13:54.634403Z", - "iopub.status.idle": "2024-06-19T19:13:54.638244Z", - "shell.execute_reply": "2024-06-19T19:13:54.637698Z" + "iopub.execute_input": "2024-06-25T15:02:33.168417Z", + "iopub.status.busy": "2024-06-25T15:02:33.167943Z", + "iopub.status.idle": "2024-06-25T15:02:33.171955Z", + "shell.execute_reply": "2024-06-25T15:02:33.171347Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:54.640315Z", - "iopub.status.busy": "2024-06-19T19:13:54.640130Z", - "iopub.status.idle": "2024-06-19T19:13:55.362069Z", - "shell.execute_reply": "2024-06-19T19:13:55.361477Z" + "iopub.execute_input": "2024-06-25T15:02:33.174237Z", + "iopub.status.busy": "2024-06-25T15:02:33.173793Z", + "iopub.status.idle": "2024-06-25T15:02:33.908856Z", + "shell.execute_reply": "2024-06-25T15:02:33.908160Z" }, "id": "i_drkY9YOcw4" }, @@ -727,10 +727,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.365099Z", - "iopub.status.busy": "2024-06-19T19:13:55.364531Z", - "iopub.status.idle": "2024-06-19T19:13:55.369403Z", - "shell.execute_reply": "2024-06-19T19:13:55.368920Z" + "iopub.execute_input": "2024-06-25T15:02:33.911831Z", + "iopub.status.busy": "2024-06-25T15:02:33.911585Z", + "iopub.status.idle": "2024-06-25T15:02:33.916537Z", + "shell.execute_reply": "2024-06-25T15:02:33.915984Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -777,10 +777,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.371810Z", - "iopub.status.busy": "2024-06-19T19:13:55.371436Z", - "iopub.status.idle": "2024-06-19T19:13:55.471450Z", - "shell.execute_reply": "2024-06-19T19:13:55.470834Z" + "iopub.execute_input": "2024-06-25T15:02:33.919068Z", + "iopub.status.busy": "2024-06-25T15:02:33.918859Z", + "iopub.status.idle": "2024-06-25T15:02:34.024792Z", + "shell.execute_reply": "2024-06-25T15:02:34.024182Z" } }, "outputs": [ @@ -817,10 +817,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.473967Z", - "iopub.status.busy": "2024-06-19T19:13:55.473588Z", - "iopub.status.idle": "2024-06-19T19:13:55.485513Z", - "shell.execute_reply": "2024-06-19T19:13:55.485058Z" + "iopub.execute_input": "2024-06-25T15:02:34.027300Z", + "iopub.status.busy": "2024-06-25T15:02:34.026886Z", + "iopub.status.idle": "2024-06-25T15:02:34.040210Z", + "shell.execute_reply": "2024-06-25T15:02:34.039705Z" }, "scrolled": true }, @@ -880,10 +880,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.487657Z", - "iopub.status.busy": "2024-06-19T19:13:55.487331Z", - "iopub.status.idle": "2024-06-19T19:13:55.494998Z", - "shell.execute_reply": "2024-06-19T19:13:55.494567Z" + "iopub.execute_input": "2024-06-25T15:02:34.042518Z", + "iopub.status.busy": "2024-06-25T15:02:34.042160Z", + "iopub.status.idle": "2024-06-25T15:02:34.050552Z", + "shell.execute_reply": "2024-06-25T15:02:34.049971Z" } }, "outputs": [ @@ -987,10 +987,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.497125Z", - "iopub.status.busy": "2024-06-19T19:13:55.496800Z", - "iopub.status.idle": "2024-06-19T19:13:55.500807Z", - "shell.execute_reply": "2024-06-19T19:13:55.500265Z" + "iopub.execute_input": "2024-06-25T15:02:34.053043Z", + "iopub.status.busy": "2024-06-25T15:02:34.052548Z", + "iopub.status.idle": "2024-06-25T15:02:34.057420Z", + "shell.execute_reply": "2024-06-25T15:02:34.056944Z" } }, "outputs": [ @@ -1028,10 +1028,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.502976Z", - "iopub.status.busy": "2024-06-19T19:13:55.502544Z", - "iopub.status.idle": "2024-06-19T19:13:55.508120Z", - "shell.execute_reply": "2024-06-19T19:13:55.507656Z" + "iopub.execute_input": "2024-06-25T15:02:34.059919Z", + "iopub.status.busy": "2024-06-25T15:02:34.059470Z", + "iopub.status.idle": "2024-06-25T15:02:34.065940Z", + "shell.execute_reply": "2024-06-25T15:02:34.065342Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1158,10 +1158,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.510246Z", - "iopub.status.busy": "2024-06-19T19:13:55.509919Z", - "iopub.status.idle": "2024-06-19T19:13:55.622133Z", - "shell.execute_reply": "2024-06-19T19:13:55.621564Z" + "iopub.execute_input": "2024-06-25T15:02:34.068297Z", + "iopub.status.busy": "2024-06-25T15:02:34.067933Z", + "iopub.status.idle": "2024-06-25T15:02:34.201047Z", + "shell.execute_reply": "2024-06-25T15:02:34.200381Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1215,10 +1215,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.624506Z", - "iopub.status.busy": "2024-06-19T19:13:55.624167Z", - "iopub.status.idle": "2024-06-19T19:13:55.729249Z", - "shell.execute_reply": "2024-06-19T19:13:55.728660Z" + "iopub.execute_input": "2024-06-25T15:02:34.203740Z", + "iopub.status.busy": "2024-06-25T15:02:34.203362Z", + "iopub.status.idle": "2024-06-25T15:02:34.314277Z", + "shell.execute_reply": "2024-06-25T15:02:34.313644Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1263,10 +1263,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.731529Z", - "iopub.status.busy": "2024-06-19T19:13:55.731114Z", - "iopub.status.idle": "2024-06-19T19:13:55.835603Z", - "shell.execute_reply": "2024-06-19T19:13:55.835028Z" + "iopub.execute_input": "2024-06-25T15:02:34.316726Z", + "iopub.status.busy": "2024-06-25T15:02:34.316376Z", + 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b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb index b076c0a0e..5786e3a82 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb @@ -80,10 +80,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:38.349159Z", - "iopub.status.busy": "2024-06-19T19:14:38.348809Z", - "iopub.status.idle": "2024-06-19T19:14:39.570916Z", - "shell.execute_reply": "2024-06-19T19:14:39.570353Z" + "iopub.execute_input": "2024-06-25T15:02:38.227581Z", + "iopub.status.busy": "2024-06-25T15:02:38.227225Z", + "iopub.status.idle": "2024-06-25T15:02:39.517377Z", + "shell.execute_reply": "2024-06-25T15:02:39.516789Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:14:39.573777Z", - "iopub.status.busy": "2024-06-19T19:14:39.573242Z", - "iopub.status.idle": "2024-06-19T19:14:39.576294Z", - "shell.execute_reply": "2024-06-19T19:14:39.575816Z" + "iopub.execute_input": "2024-06-25T15:02:39.520092Z", + "iopub.status.busy": "2024-06-25T15:02:39.519754Z", + "iopub.status.idle": "2024-06-25T15:02:39.523034Z", + "shell.execute_reply": "2024-06-25T15:02:39.522543Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.578592Z", - "iopub.status.busy": "2024-06-19T19:14:39.578201Z", - "iopub.status.idle": "2024-06-19T19:14:39.586848Z", - "shell.execute_reply": "2024-06-19T19:14:39.586392Z" + "iopub.execute_input": "2024-06-25T15:02:39.525370Z", + "iopub.status.busy": "2024-06-25T15:02:39.525170Z", + "iopub.status.idle": "2024-06-25T15:02:39.534786Z", + "shell.execute_reply": "2024-06-25T15:02:39.534330Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.588952Z", - "iopub.status.busy": "2024-06-19T19:14:39.588636Z", - "iopub.status.idle": "2024-06-19T19:14:39.593700Z", - "shell.execute_reply": "2024-06-19T19:14:39.593152Z" + "iopub.execute_input": "2024-06-25T15:02:39.537084Z", + "iopub.status.busy": "2024-06-25T15:02:39.536717Z", + "iopub.status.idle": "2024-06-25T15:02:39.541685Z", + "shell.execute_reply": "2024-06-25T15:02:39.541207Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.596110Z", - "iopub.status.busy": "2024-06-19T19:14:39.595573Z", - "iopub.status.idle": "2024-06-19T19:14:39.783618Z", - "shell.execute_reply": "2024-06-19T19:14:39.782990Z" + "iopub.execute_input": "2024-06-25T15:02:39.544239Z", + "iopub.status.busy": "2024-06-25T15:02:39.543809Z", + "iopub.status.idle": "2024-06-25T15:02:39.744513Z", + "shell.execute_reply": "2024-06-25T15:02:39.743889Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.786364Z", - "iopub.status.busy": "2024-06-19T19:14:39.785973Z", - "iopub.status.idle": "2024-06-19T19:14:40.163979Z", - "shell.execute_reply": "2024-06-19T19:14:40.163359Z" + "iopub.execute_input": "2024-06-25T15:02:39.747094Z", + "iopub.status.busy": "2024-06-25T15:02:39.746904Z", + "iopub.status.idle": "2024-06-25T15:02:40.122770Z", + "shell.execute_reply": "2024-06-25T15:02:40.122190Z" } }, "outputs": [ @@ -569,10 +569,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.166733Z", - "iopub.status.busy": "2024-06-19T19:14:40.166236Z", - "iopub.status.idle": "2024-06-19T19:14:40.190230Z", - "shell.execute_reply": "2024-06-19T19:14:40.189618Z" + "iopub.execute_input": "2024-06-25T15:02:40.125205Z", + "iopub.status.busy": "2024-06-25T15:02:40.124842Z", + "iopub.status.idle": "2024-06-25T15:02:40.148454Z", + "shell.execute_reply": "2024-06-25T15:02:40.147926Z" } }, "outputs": [], @@ -608,10 +608,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.193105Z", - "iopub.status.busy": "2024-06-19T19:14:40.192629Z", - "iopub.status.idle": "2024-06-19T19:14:40.204803Z", - "shell.execute_reply": "2024-06-19T19:14:40.204289Z" + "iopub.execute_input": "2024-06-25T15:02:40.151117Z", + "iopub.status.busy": "2024-06-25T15:02:40.150749Z", + "iopub.status.idle": "2024-06-25T15:02:40.162622Z", + "shell.execute_reply": "2024-06-25T15:02:40.162130Z" } }, "outputs": [], @@ -642,10 +642,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.207374Z", - "iopub.status.busy": "2024-06-19T19:14:40.207004Z", - "iopub.status.idle": "2024-06-19T19:14:42.327628Z", - "shell.execute_reply": "2024-06-19T19:14:42.327010Z" + "iopub.execute_input": "2024-06-25T15:02:40.165202Z", + "iopub.status.busy": "2024-06-25T15:02:40.164846Z", + "iopub.status.idle": "2024-06-25T15:02:42.323570Z", + "shell.execute_reply": "2024-06-25T15:02:42.322965Z" } }, "outputs": [ @@ -714,10 +714,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:42.330257Z", - "iopub.status.busy": "2024-06-19T19:14:42.329872Z", - "iopub.status.idle": "2024-06-19T19:14:42.352484Z", - "shell.execute_reply": "2024-06-19T19:14:42.351892Z" + "iopub.execute_input": "2024-06-25T15:02:42.326056Z", + "iopub.status.busy": 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outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n", "\n", "Audit complete. 22 issues found in the dataset.\n", "Dataset Information: num_examples: 132, num_classes: 3\n", @@ -925,7 +923,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/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", + "/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:348: UserWarning: Overwriting columns ['is_outlier_issue', 'outlier_score'] 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", @@ -951,10 +949,10 @@ "execution_count": 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"bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_55c6a16b93ea4ff089909e0fd3527c68", - "max": 132.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_1d186cbf0db347ba9eb20cf6580cfc5b", - "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 ec1f4b0c3..a870a82f5 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": "2024-06-19T19:14:45.255382Z", - "iopub.status.busy": "2024-06-19T19:14:45.255201Z", - "iopub.status.idle": "2024-06-19T19:14:46.487948Z", - "shell.execute_reply": "2024-06-19T19:14:46.487303Z" + "iopub.execute_input": "2024-06-25T15:02:45.248373Z", + "iopub.status.busy": "2024-06-25T15:02:45.247929Z", + "iopub.status.idle": "2024-06-25T15:02:46.453643Z", + "shell.execute_reply": "2024-06-25T15:02:46.453087Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:14:46.490797Z", - "iopub.status.busy": "2024-06-19T19:14:46.490467Z", - "iopub.status.idle": "2024-06-19T19:14:46.493798Z", - "shell.execute_reply": "2024-06-19T19:14:46.493238Z" + "iopub.execute_input": "2024-06-25T15:02:46.456361Z", + "iopub.status.busy": "2024-06-25T15:02:46.455895Z", + "iopub.status.idle": "2024-06-25T15:02:46.458893Z", + "shell.execute_reply": "2024-06-25T15:02:46.458450Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:46.496105Z", - "iopub.status.busy": "2024-06-19T19:14:46.495683Z", - "iopub.status.idle": "2024-06-19T19:14:46.505006Z", - "shell.execute_reply": "2024-06-19T19:14:46.504407Z" + "iopub.execute_input": "2024-06-25T15:02:46.461227Z", + "iopub.status.busy": "2024-06-25T15:02:46.460897Z", + "iopub.status.idle": "2024-06-25T15:02:46.470054Z", + "shell.execute_reply": "2024-06-25T15:02:46.469541Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:46.507461Z", - "iopub.status.busy": "2024-06-19T19:14:46.507007Z", - "iopub.status.idle": "2024-06-19T19:14:46.512115Z", - "shell.execute_reply": "2024-06-19T19:14:46.511524Z" + "iopub.execute_input": "2024-06-25T15:02:46.472337Z", + "iopub.status.busy": "2024-06-25T15:02:46.471989Z", + "iopub.status.idle": "2024-06-25T15:02:46.476989Z", + "shell.execute_reply": "2024-06-25T15:02:46.476526Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:46.514491Z", - "iopub.status.busy": "2024-06-19T19:14:46.514177Z", - "iopub.status.idle": "2024-06-19T19:14:46.702508Z", - "shell.execute_reply": "2024-06-19T19:14:46.701904Z" + "iopub.execute_input": "2024-06-25T15:02:46.479195Z", + "iopub.status.busy": "2024-06-25T15:02:46.478830Z", + "iopub.status.idle": "2024-06-25T15:02:46.673454Z", + "shell.execute_reply": "2024-06-25T15:02:46.672819Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:46.705135Z", - "iopub.status.busy": "2024-06-19T19:14:46.704899Z", - "iopub.status.idle": "2024-06-19T19:14:47.021070Z", - "shell.execute_reply": "2024-06-19T19:14:47.020488Z" + "iopub.execute_input": "2024-06-25T15:02:46.676288Z", + "iopub.status.busy": "2024-06-25T15:02:46.675787Z", + "iopub.status.idle": "2024-06-25T15:02:47.008494Z", + "shell.execute_reply": "2024-06-25T15:02:47.007858Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:47.023389Z", - "iopub.status.busy": "2024-06-19T19:14:47.023036Z", - "iopub.status.idle": "2024-06-19T19:14:47.025937Z", - "shell.execute_reply": "2024-06-19T19:14:47.025487Z" + "iopub.execute_input": "2024-06-25T15:02:47.010766Z", + "iopub.status.busy": "2024-06-25T15:02:47.010428Z", + "iopub.status.idle": "2024-06-25T15:02:47.013373Z", + "shell.execute_reply": "2024-06-25T15:02:47.012814Z" } }, "outputs": [], @@ -602,10 +602,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:47.027986Z", - "iopub.status.busy": "2024-06-19T19:14:47.027660Z", - "iopub.status.idle": "2024-06-19T19:14:47.062853Z", - "shell.execute_reply": "2024-06-19T19:14:47.062236Z" + "iopub.execute_input": "2024-06-25T15:02:47.015607Z", + "iopub.status.busy": "2024-06-25T15:02:47.015161Z", + "iopub.status.idle": "2024-06-25T15:02:47.051531Z", + "shell.execute_reply": "2024-06-25T15:02:47.050912Z" } }, "outputs": [ @@ -647,10 +647,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:47.065219Z", - "iopub.status.busy": "2024-06-19T19:14:47.064875Z", - "iopub.status.idle": "2024-06-19T19:14:49.151071Z", - "shell.execute_reply": "2024-06-19T19:14:49.150385Z" + "iopub.execute_input": "2024-06-25T15:02:47.053946Z", + "iopub.status.busy": "2024-06-25T15:02:47.053574Z", + "iopub.status.idle": "2024-06-25T15:02:49.292243Z", + "shell.execute_reply": "2024-06-25T15:02:49.291506Z" } }, "outputs": [ @@ -675,7 +675,6 @@ "output_type": "stream", "text": [ "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n", "Finding near_duplicate issues ...\n", "Finding non_iid issues ...\n", "Finding class_imbalance issues ...\n", @@ -711,10 +710,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.153752Z", - "iopub.status.busy": "2024-06-19T19:14:49.153141Z", - "iopub.status.idle": "2024-06-19T19:14:49.172188Z", - "shell.execute_reply": "2024-06-19T19:14:49.171647Z" + "iopub.execute_input": "2024-06-25T15:02:49.295008Z", + "iopub.status.busy": "2024-06-25T15:02:49.294444Z", + "iopub.status.idle": "2024-06-25T15:02:49.314500Z", + "shell.execute_reply": "2024-06-25T15:02:49.313993Z" } }, "outputs": [ @@ -847,10 +846,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.174433Z", - "iopub.status.busy": "2024-06-19T19:14:49.174102Z", - "iopub.status.idle": "2024-06-19T19:14:49.180787Z", - "shell.execute_reply": "2024-06-19T19:14:49.180322Z" + "iopub.execute_input": "2024-06-25T15:02:49.316847Z", + "iopub.status.busy": "2024-06-25T15:02:49.316489Z", + "iopub.status.idle": "2024-06-25T15:02:49.323651Z", + "shell.execute_reply": "2024-06-25T15:02:49.323169Z" } }, "outputs": [ @@ -961,10 +960,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.182996Z", - "iopub.status.busy": "2024-06-19T19:14:49.182607Z", - "iopub.status.idle": "2024-06-19T19:14:49.188887Z", - "shell.execute_reply": "2024-06-19T19:14:49.188329Z" + "iopub.execute_input": "2024-06-25T15:02:49.325682Z", + "iopub.status.busy": "2024-06-25T15:02:49.325501Z", + "iopub.status.idle": "2024-06-25T15:02:49.332101Z", + "shell.execute_reply": "2024-06-25T15:02:49.331645Z" } }, "outputs": [ @@ -1031,10 +1030,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.190983Z", - "iopub.status.busy": "2024-06-19T19:14:49.190705Z", - "iopub.status.idle": "2024-06-19T19:14:49.201506Z", - "shell.execute_reply": "2024-06-19T19:14:49.200977Z" + "iopub.execute_input": "2024-06-25T15:02:49.334117Z", + "iopub.status.busy": "2024-06-25T15:02:49.333735Z", + "iopub.status.idle": "2024-06-25T15:02:49.344479Z", + "shell.execute_reply": "2024-06-25T15:02:49.343901Z" } }, "outputs": [ @@ -1226,10 +1225,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.203682Z", - "iopub.status.busy": "2024-06-19T19:14:49.203334Z", - "iopub.status.idle": "2024-06-19T19:14:49.212604Z", - "shell.execute_reply": "2024-06-19T19:14:49.212065Z" + "iopub.execute_input": "2024-06-25T15:02:49.346708Z", + "iopub.status.busy": "2024-06-25T15:02:49.346367Z", + "iopub.status.idle": "2024-06-25T15:02:49.356147Z", + "shell.execute_reply": "2024-06-25T15:02:49.355551Z" } }, "outputs": [ @@ -1345,10 +1344,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.214826Z", - "iopub.status.busy": "2024-06-19T19:14:49.214481Z", - "iopub.status.idle": "2024-06-19T19:14:49.222292Z", - "shell.execute_reply": "2024-06-19T19:14:49.221776Z" + "iopub.execute_input": "2024-06-25T15:02:49.358388Z", + "iopub.status.busy": "2024-06-25T15:02:49.358071Z", + "iopub.status.idle": "2024-06-25T15:02:49.365013Z", + "shell.execute_reply": "2024-06-25T15:02:49.364533Z" }, "scrolled": true }, @@ -1473,10 +1472,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.224527Z", - "iopub.status.busy": "2024-06-19T19:14:49.224169Z", - "iopub.status.idle": "2024-06-19T19:14:49.234040Z", - "shell.execute_reply": "2024-06-19T19:14:49.233546Z" + "iopub.execute_input": "2024-06-25T15:02:49.367268Z", + "iopub.status.busy": "2024-06-25T15:02:49.366844Z", + "iopub.status.idle": "2024-06-25T15:02:49.376754Z", + "shell.execute_reply": "2024-06-25T15:02:49.376145Z" } }, "outputs": [ @@ -1579,10 +1578,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:49.236357Z", - "iopub.status.busy": "2024-06-19T19:14:49.235989Z", - "iopub.status.idle": "2024-06-19T19:14:49.248375Z", - "shell.execute_reply": "2024-06-19T19:14:49.247930Z" + "iopub.execute_input": "2024-06-25T15:02:49.379075Z", + "iopub.status.busy": "2024-06-25T15:02:49.378757Z", + "iopub.status.idle": "2024-06-25T15:02:49.391296Z", + "shell.execute_reply": "2024-06-25T15:02:49.390687Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/image.ipynb index a86524a42..65ccc6a63 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": "2024-06-19T19:14:52.255232Z", - "iopub.status.busy": "2024-06-19T19:14:52.254822Z", - "iopub.status.idle": "2024-06-19T19:14:55.215396Z", - "shell.execute_reply": "2024-06-19T19:14:55.214843Z" + "iopub.execute_input": "2024-06-25T15:02:52.434923Z", + "iopub.status.busy": "2024-06-25T15:02:52.434761Z", + "iopub.status.idle": "2024-06-25T15:02:55.457582Z", + "shell.execute_reply": "2024-06-25T15:02:55.456965Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:55.218074Z", - "iopub.status.busy": "2024-06-19T19:14:55.217610Z", - "iopub.status.idle": "2024-06-19T19:14:55.221191Z", - "shell.execute_reply": "2024-06-19T19:14:55.220718Z" + "iopub.execute_input": "2024-06-25T15:02:55.460430Z", + "iopub.status.busy": "2024-06-25T15:02:55.459987Z", + "iopub.status.idle": "2024-06-25T15:02:55.463840Z", + "shell.execute_reply": "2024-06-25T15:02:55.463361Z" } }, "outputs": [], @@ -152,10 +152,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:55.223147Z", - "iopub.status.busy": "2024-06-19T19:14:55.222834Z", - "iopub.status.idle": "2024-06-19T19:15:06.828476Z", - "shell.execute_reply": "2024-06-19T19:15:06.827911Z" + "iopub.execute_input": "2024-06-25T15:02:55.465902Z", + "iopub.status.busy": "2024-06-25T15:02:55.465566Z", + "iopub.status.idle": "2024-06-25T15:03:05.715335Z", + "shell.execute_reply": "2024-06-25T15:03:05.714792Z" } }, "outputs": [ @@ -172,7 +172,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "349ee786df634788bc2d1161e9306302", + "model_id": "cb86652b122d4284addbacdbed8966b7", "version_major": 2, "version_minor": 0 }, @@ -186,7 +186,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "637d67c13ddb4c7d91633b5217a8a441", + "model_id": "572ae861928442c9b2d22ae8ce864337", "version_major": 2, "version_minor": 0 }, @@ -200,7 +200,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e3b490f3753e4a26b5ee7f200e729450", + "model_id": "8416acb269134271b8af012e09301f14", "version_major": 2, "version_minor": 0 }, @@ -214,7 +214,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2b448009da8c4e8483f886f2eb0e3030", + "model_id": "a0eef281a9b4456093538c260e709ed1", "version_major": 2, "version_minor": 0 }, @@ -228,7 +228,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4865b5b7656841e0a18dd009e4b0f40f", + "model_id": "9ee519db54124c56adb8ac7877404ad9", "version_major": 2, "version_minor": 0 }, @@ -242,7 +242,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "060c782bcc144c998d4ec99cf1693c59", + "model_id": "4666fbbe6c844793bab204564c644f4f", "version_major": 2, "version_minor": 0 }, @@ -256,7 +256,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "975d2ee3e62d4a2b9d66709c83444c6a", + "model_id": "a9d22fa9576940b49f5c0c6e41a5affc", "version_major": 2, "version_minor": 0 }, @@ -270,7 +270,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38f1190e08ab4e7e8697541bdfa2f88d", + "model_id": "8f3998c468104adfaba1ce14dbdbd750", "version_major": 2, "version_minor": 0 }, @@ -312,10 +312,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:06.830787Z", - "iopub.status.busy": "2024-06-19T19:15:06.830559Z", - "iopub.status.idle": "2024-06-19T19:15:06.834622Z", - "shell.execute_reply": "2024-06-19T19:15:06.834170Z" + "iopub.execute_input": "2024-06-25T15:03:05.717627Z", + "iopub.status.busy": "2024-06-25T15:03:05.717292Z", + "iopub.status.idle": "2024-06-25T15:03:05.721051Z", + "shell.execute_reply": "2024-06-25T15:03:05.720526Z" } }, "outputs": [ @@ -340,17 +340,17 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:06.836831Z", - "iopub.status.busy": "2024-06-19T19:15:06.836373Z", - "iopub.status.idle": "2024-06-19T19:15:18.266161Z", - "shell.execute_reply": "2024-06-19T19:15:18.265599Z" + "iopub.execute_input": "2024-06-25T15:03:05.723003Z", + "iopub.status.busy": "2024-06-25T15:03:05.722728Z", + "iopub.status.idle": "2024-06-25T15:03:16.714815Z", + "shell.execute_reply": "2024-06-25T15:03:16.714239Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1fe32cc7dd404642b1eb8ff34e416fb0", + "model_id": "a20698b6f5ac47bf8a90e5e27b8d7a1a", "version_major": 2, "version_minor": 0 }, @@ -388,10 +388,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:18.268783Z", - "iopub.status.busy": "2024-06-19T19:15:18.268465Z", - "iopub.status.idle": "2024-06-19T19:15:38.257972Z", - "shell.execute_reply": "2024-06-19T19:15:38.257351Z" + "iopub.execute_input": "2024-06-25T15:03:16.717468Z", + "iopub.status.busy": "2024-06-25T15:03:16.717224Z", + "iopub.status.idle": "2024-06-25T15:03:35.068691Z", + "shell.execute_reply": "2024-06-25T15:03:35.068089Z" } }, "outputs": [], @@ -424,10 +424,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.260843Z", - "iopub.status.busy": "2024-06-19T19:15:38.260493Z", - "iopub.status.idle": "2024-06-19T19:15:38.265480Z", - "shell.execute_reply": "2024-06-19T19:15:38.264919Z" + "iopub.execute_input": "2024-06-25T15:03:35.072202Z", + "iopub.status.busy": "2024-06-25T15:03:35.071820Z", + "iopub.status.idle": "2024-06-25T15:03:35.077664Z", + "shell.execute_reply": "2024-06-25T15:03:35.077111Z" } }, "outputs": [], @@ -465,10 +465,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.267318Z", - "iopub.status.busy": "2024-06-19T19:15:38.267141Z", - "iopub.status.idle": "2024-06-19T19:15:38.271766Z", - "shell.execute_reply": "2024-06-19T19:15:38.271329Z" + "iopub.execute_input": "2024-06-25T15:03:35.080077Z", + "iopub.status.busy": "2024-06-25T15:03:35.079655Z", + "iopub.status.idle": "2024-06-25T15:03:35.084617Z", + "shell.execute_reply": "2024-06-25T15:03:35.084045Z" }, "nbsphinx": "hidden" }, @@ -605,10 +605,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.273621Z", - "iopub.status.busy": "2024-06-19T19:15:38.273449Z", - "iopub.status.idle": "2024-06-19T19:15:38.282488Z", - "shell.execute_reply": "2024-06-19T19:15:38.281976Z" + "iopub.execute_input": "2024-06-25T15:03:35.087271Z", + "iopub.status.busy": "2024-06-25T15:03:35.086918Z", + "iopub.status.idle": "2024-06-25T15:03:35.096770Z", + "shell.execute_reply": "2024-06-25T15:03:35.096173Z" }, "nbsphinx": "hidden" }, @@ -733,10 +733,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.284725Z", - "iopub.status.busy": "2024-06-19T19:15:38.284321Z", - "iopub.status.idle": "2024-06-19T19:15:38.313283Z", - "shell.execute_reply": "2024-06-19T19:15:38.312791Z" + "iopub.execute_input": "2024-06-25T15:03:35.099193Z", + "iopub.status.busy": "2024-06-25T15:03:35.098831Z", + "iopub.status.idle": "2024-06-25T15:03:35.126786Z", + "shell.execute_reply": "2024-06-25T15:03:35.126252Z" } }, "outputs": [], @@ -773,10 +773,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.315651Z", - "iopub.status.busy": "2024-06-19T19:15:38.315309Z", - "iopub.status.idle": "2024-06-19T19:16:11.760467Z", - "shell.execute_reply": "2024-06-19T19:16:11.759821Z" + "iopub.execute_input": "2024-06-25T15:03:35.129570Z", + "iopub.status.busy": "2024-06-25T15:03:35.129185Z", + "iopub.status.idle": "2024-06-25T15:04:08.787947Z", + "shell.execute_reply": "2024-06-25T15:04:08.787306Z" } }, "outputs": [ @@ -792,21 +792,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.903\n" + "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 5.035\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.648\n", + "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.567\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4f314808162a4162a1215e3829506cee", + "model_id": "571aad50ae0e454484ba5794a0c894a1", "version_major": 2, "version_minor": 0 }, @@ -827,7 +827,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a5c5a31434b147c79a2ee3c8a0238542", + "model_id": "a1cf212f99ca47149f17b2ee8cd2fad9", "version_major": 2, "version_minor": 0 }, @@ -850,21 +850,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.057\n" + "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.090\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.709\n", + "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.729\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b9200b83016e4f1d893d9679edcac1ea", + "model_id": "9b16c7a3da8d4c8b998a707e044b070a", "version_major": 2, "version_minor": 0 }, @@ -885,7 +885,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2161d0251584354a28b87992f624a0b", + "model_id": "e6b201d41be24978b1711d80d4442962", "version_major": 2, "version_minor": 0 }, @@ -908,21 +908,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.966\n" + "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.864\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.720\n", + "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.806\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d608bddcd7a54636a4b3dd9aeef5fcb2", + "model_id": "4929ccdcba92446cae04c897cf77041f", "version_major": 2, "version_minor": 0 }, @@ -943,7 +943,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1dd9aa845b104521b299bd515cdbc543", + "model_id": "16a24cc498124a6baa7035a049b39720", "version_major": 2, "version_minor": 0 }, @@ -1022,10 +1022,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:11.762922Z", - "iopub.status.busy": "2024-06-19T19:16:11.762584Z", - "iopub.status.idle": "2024-06-19T19:16:11.776866Z", - "shell.execute_reply": "2024-06-19T19:16:11.776374Z" + "iopub.execute_input": "2024-06-25T15:04:08.790655Z", + "iopub.status.busy": "2024-06-25T15:04:08.790140Z", + "iopub.status.idle": "2024-06-25T15:04:08.804356Z", + "shell.execute_reply": "2024-06-25T15:04:08.803915Z" } }, "outputs": [], @@ -1050,10 +1050,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:11.779207Z", - "iopub.status.busy": "2024-06-19T19:16:11.778886Z", - "iopub.status.idle": "2024-06-19T19:16:12.249354Z", - "shell.execute_reply": "2024-06-19T19:16:12.248816Z" + "iopub.execute_input": "2024-06-25T15:04:08.806655Z", + "iopub.status.busy": "2024-06-25T15:04:08.806256Z", + "iopub.status.idle": "2024-06-25T15:04:09.295047Z", + "shell.execute_reply": "2024-06-25T15:04:09.294402Z" } }, "outputs": [], @@ -1073,10 +1073,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:12.251845Z", - "iopub.status.busy": "2024-06-19T19:16:12.251517Z", - "iopub.status.idle": "2024-06-19T19:19:39.980925Z", - "shell.execute_reply": "2024-06-19T19:19:39.980256Z" + "iopub.execute_input": "2024-06-25T15:04:09.297623Z", + "iopub.status.busy": "2024-06-25T15:04:09.297428Z", + "iopub.status.idle": "2024-06-25T15:05:47.679934Z", + "shell.execute_reply": "2024-06-25T15:05:47.679254Z" } }, "outputs": [ @@ -1092,8 +1092,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n" + "Finding outlier issues ...\n" ] }, { @@ -1124,7 +1123,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2308418aed62421c9233f4e2fa36fb9f", + "model_id": "b5a738d901b14847af173bf44a11a398", "version_major": 2, "version_minor": 0 }, @@ -1163,10 +1162,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:39.983734Z", - "iopub.status.busy": "2024-06-19T19:19:39.983195Z", - "iopub.status.idle": "2024-06-19T19:19:40.447714Z", - "shell.execute_reply": "2024-06-19T19:19:40.447171Z" + "iopub.execute_input": "2024-06-25T15:05:47.682449Z", + "iopub.status.busy": "2024-06-25T15:05:47.681911Z", + "iopub.status.idle": "2024-06-25T15:05:48.146309Z", + "shell.execute_reply": "2024-06-25T15:05:48.145731Z" } }, "outputs": [ @@ -1312,10 +1311,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.450117Z", - "iopub.status.busy": "2024-06-19T19:19:40.449723Z", - "iopub.status.idle": "2024-06-19T19:19:40.512143Z", - "shell.execute_reply": "2024-06-19T19:19:40.511605Z" + "iopub.execute_input": "2024-06-25T15:05:48.149215Z", + "iopub.status.busy": "2024-06-25T15:05:48.148861Z", + "iopub.status.idle": "2024-06-25T15:05:48.212187Z", + "shell.execute_reply": "2024-06-25T15:05:48.211626Z" } }, "outputs": [ @@ -1419,10 +1418,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.514406Z", - "iopub.status.busy": "2024-06-19T19:19:40.514068Z", - "iopub.status.idle": "2024-06-19T19:19:40.523189Z", - "shell.execute_reply": "2024-06-19T19:19:40.522735Z" + "iopub.execute_input": "2024-06-25T15:05:48.214345Z", + "iopub.status.busy": "2024-06-25T15:05:48.214064Z", + "iopub.status.idle": "2024-06-25T15:05:48.223417Z", + "shell.execute_reply": "2024-06-25T15:05:48.222893Z" } }, "outputs": [ @@ -1552,10 +1551,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.525362Z", - "iopub.status.busy": "2024-06-19T19:19:40.525040Z", - "iopub.status.idle": "2024-06-19T19:19:40.529621Z", - "shell.execute_reply": "2024-06-19T19:19:40.529206Z" + "iopub.execute_input": "2024-06-25T15:05:48.225605Z", + "iopub.status.busy": "2024-06-25T15:05:48.225254Z", + "iopub.status.idle": "2024-06-25T15:05:48.229948Z", + "shell.execute_reply": "2024-06-25T15:05:48.229505Z" }, "nbsphinx": "hidden" }, @@ -1601,10 +1600,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.531669Z", - "iopub.status.busy": "2024-06-19T19:19:40.531264Z", - "iopub.status.idle": "2024-06-19T19:19:41.063093Z", - "shell.execute_reply": "2024-06-19T19:19:41.062479Z" + "iopub.execute_input": "2024-06-25T15:05:48.232009Z", + "iopub.status.busy": "2024-06-25T15:05:48.231676Z", + "iopub.status.idle": "2024-06-25T15:05:48.744254Z", + "shell.execute_reply": "2024-06-25T15:05:48.743663Z" } }, "outputs": [ @@ -1639,10 +1638,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.065685Z", - "iopub.status.busy": "2024-06-19T19:19:41.065259Z", - "iopub.status.idle": "2024-06-19T19:19:41.074202Z", - "shell.execute_reply": "2024-06-19T19:19:41.073628Z" + "iopub.execute_input": "2024-06-25T15:05:48.746722Z", + "iopub.status.busy": "2024-06-25T15:05:48.746346Z", + "iopub.status.idle": "2024-06-25T15:05:48.754911Z", + "shell.execute_reply": "2024-06-25T15:05:48.754430Z" } }, "outputs": [ @@ -1809,10 +1808,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.076872Z", - "iopub.status.busy": "2024-06-19T19:19:41.076293Z", - "iopub.status.idle": "2024-06-19T19:19:41.372691Z", - "shell.execute_reply": "2024-06-19T19:19:41.372060Z" + "iopub.execute_input": "2024-06-25T15:05:48.757038Z", + "iopub.status.busy": "2024-06-25T15:05:48.756726Z", + "iopub.status.idle": "2024-06-25T15:05:49.064663Z", + "shell.execute_reply": "2024-06-25T15:05:49.064032Z" }, "nbsphinx": "hidden" }, @@ -1888,10 +1887,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.375031Z", - "iopub.status.busy": "2024-06-19T19:19:41.374683Z", - "iopub.status.idle": "2024-06-19T19:19:41.859506Z", - "shell.execute_reply": "2024-06-19T19:19:41.858902Z" + "iopub.execute_input": "2024-06-25T15:05:49.067229Z", + "iopub.status.busy": "2024-06-25T15:05:49.066763Z", + "iopub.status.idle": "2024-06-25T15:05:49.549519Z", + "shell.execute_reply": "2024-06-25T15:05:49.548881Z" } }, "outputs": [ @@ -1928,10 +1927,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.861875Z", - "iopub.status.busy": "2024-06-19T19:19:41.861566Z", - "iopub.status.idle": "2024-06-19T19:19:41.877412Z", - "shell.execute_reply": "2024-06-19T19:19:41.876826Z" + "iopub.execute_input": "2024-06-25T15:05:49.552090Z", + "iopub.status.busy": "2024-06-25T15:05:49.551584Z", + "iopub.status.idle": "2024-06-25T15:05:49.568628Z", + "shell.execute_reply": "2024-06-25T15:05:49.568028Z" } }, "outputs": [ @@ -2088,10 +2087,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.879759Z", - "iopub.status.busy": "2024-06-19T19:19:41.879444Z", - "iopub.status.idle": "2024-06-19T19:19:41.886336Z", - "shell.execute_reply": "2024-06-19T19:19:41.885835Z" + "iopub.execute_input": "2024-06-25T15:05:49.571048Z", + "iopub.status.busy": "2024-06-25T15:05:49.570612Z", + "iopub.status.idle": "2024-06-25T15:05:49.577763Z", + "shell.execute_reply": "2024-06-25T15:05:49.577226Z" }, "nbsphinx": "hidden" }, @@ -2136,10 +2135,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.888292Z", - "iopub.status.busy": "2024-06-19T19:19:41.888114Z", - "iopub.status.idle": "2024-06-19T19:19:42.344609Z", - "shell.execute_reply": "2024-06-19T19:19:42.344179Z" + "iopub.execute_input": "2024-06-25T15:05:49.580013Z", + "iopub.status.busy": "2024-06-25T15:05:49.579534Z", + "iopub.status.idle": "2024-06-25T15:05:50.058319Z", + "shell.execute_reply": "2024-06-25T15:05:50.057750Z" } }, "outputs": [ @@ -2221,10 +2220,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.347419Z", - "iopub.status.busy": "2024-06-19T19:19:42.346917Z", - "iopub.status.idle": "2024-06-19T19:19:42.356274Z", - "shell.execute_reply": "2024-06-19T19:19:42.355769Z" + "iopub.execute_input": "2024-06-25T15:05:50.061328Z", + "iopub.status.busy": "2024-06-25T15:05:50.060814Z", + "iopub.status.idle": "2024-06-25T15:05:50.070861Z", + "shell.execute_reply": "2024-06-25T15:05:50.070350Z" } }, "outputs": [ @@ -2352,10 +2351,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.358785Z", - "iopub.status.busy": "2024-06-19T19:19:42.358304Z", - "iopub.status.idle": "2024-06-19T19:19:42.364090Z", - "shell.execute_reply": "2024-06-19T19:19:42.363584Z" + "iopub.execute_input": "2024-06-25T15:05:50.073505Z", + "iopub.status.busy": "2024-06-25T15:05:50.073030Z", + "iopub.status.idle": "2024-06-25T15:05:50.079311Z", + "shell.execute_reply": "2024-06-25T15:05:50.078716Z" }, "nbsphinx": "hidden" }, @@ -2392,10 +2391,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.366429Z", - "iopub.status.busy": "2024-06-19T19:19:42.365955Z", - "iopub.status.idle": "2024-06-19T19:19:42.572625Z", - "shell.execute_reply": "2024-06-19T19:19:42.572180Z" + "iopub.execute_input": "2024-06-25T15:05:50.081706Z", + "iopub.status.busy": "2024-06-25T15:05:50.081492Z", + "iopub.status.idle": "2024-06-25T15:05:50.286061Z", + "shell.execute_reply": "2024-06-25T15:05:50.285552Z" } }, "outputs": [ @@ -2437,10 +2436,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.574836Z", - "iopub.status.busy": "2024-06-19T19:19:42.574419Z", - "iopub.status.idle": "2024-06-19T19:19:42.582445Z", - "shell.execute_reply": "2024-06-19T19:19:42.581884Z" + "iopub.execute_input": "2024-06-25T15:05:50.288498Z", + "iopub.status.busy": "2024-06-25T15:05:50.288307Z", + "iopub.status.idle": "2024-06-25T15:05:50.296133Z", + "shell.execute_reply": "2024-06-25T15:05:50.295643Z" } }, "outputs": [ @@ -2526,10 +2525,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.584656Z", - "iopub.status.busy": "2024-06-19T19:19:42.584222Z", - "iopub.status.idle": "2024-06-19T19:19:42.761956Z", - "shell.execute_reply": "2024-06-19T19:19:42.761359Z" + "iopub.execute_input": "2024-06-25T15:05:50.298207Z", + "iopub.status.busy": "2024-06-25T15:05:50.298041Z", + "iopub.status.idle": "2024-06-25T15:05:50.494145Z", + "shell.execute_reply": "2024-06-25T15:05:50.493642Z" } }, "outputs": [ @@ -2569,10 +2568,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:42.764400Z", - "iopub.status.busy": "2024-06-19T19:19:42.763976Z", - "iopub.status.idle": "2024-06-19T19:19:42.768544Z", - "shell.execute_reply": "2024-06-19T19:19:42.767985Z" + "iopub.execute_input": "2024-06-25T15:05:50.496453Z", + "iopub.status.busy": "2024-06-25T15:05:50.496271Z", + "iopub.status.idle": "2024-06-25T15:05:50.500854Z", + "shell.execute_reply": "2024-06-25T15:05:50.500369Z" }, "nbsphinx": "hidden" }, @@ -2609,7 +2608,41 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0107b0d8b1a24cca96947d6098eff928": { + "03ecb693628c4124930196d0297637eb": { + "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": 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"model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2715,51 +2748,41 @@ "width": null } }, - "04cbb51a83ab4d29bb7d2bc48891cde7": { + "0bc1a45dfa2d4f3297cc6a89c0f8cf08": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", + "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", + "_model_name": "ProgressStyleModel", "_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 + "bar_color": null, + "description_width": "" } }, - "050609e5a1a84d618fe372d525f40b1b": { + "0d7d7689a28b4e5c8c2016621e40b52b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": 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null, - "top": null, - "visibility": null, - "width": null + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" } }, - "fddb4849f5dc4892889f74a84993fb44": { + "fcc335b1ecf144178dcebe58ec7c1868": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -8711,7 +8694,7 @@ "width": null } }, - "fe3a1b1f79214605ba2ac9404c7f1e83": { + "ff88024102a04557ad75fd8dba7512fe": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -8728,6 +8711,22 @@ "font_size": null, "text_color": null } + }, + "ffbf7d3d22a54b1aab0084e7dcabbd9d": { + "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/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index 6b4af65a3..e8a4df96f 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:46.667346Z", - "iopub.status.busy": "2024-06-19T19:19:46.667169Z", - "iopub.status.idle": "2024-06-19T19:19:47.816479Z", - "shell.execute_reply": "2024-06-19T19:19:47.815913Z" + "iopub.execute_input": "2024-06-25T15:05:54.306922Z", + "iopub.status.busy": "2024-06-25T15:05:54.306745Z", + "iopub.status.idle": "2024-06-25T15:05:55.467976Z", + "shell.execute_reply": "2024-06-25T15:05:55.467320Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.819102Z", - "iopub.status.busy": "2024-06-19T19:19:47.818587Z", - "iopub.status.idle": "2024-06-19T19:19:47.837002Z", - "shell.execute_reply": "2024-06-19T19:19:47.836447Z" + "iopub.execute_input": "2024-06-25T15:05:55.471079Z", + "iopub.status.busy": "2024-06-25T15:05:55.470348Z", + "iopub.status.idle": "2024-06-25T15:05:55.490834Z", + "shell.execute_reply": "2024-06-25T15:05:55.490219Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.839550Z", - "iopub.status.busy": "2024-06-19T19:19:47.839058Z", - "iopub.status.idle": "2024-06-19T19:19:47.863152Z", - "shell.execute_reply": "2024-06-19T19:19:47.862654Z" + "iopub.execute_input": "2024-06-25T15:05:55.493612Z", + "iopub.status.busy": "2024-06-25T15:05:55.493311Z", + "iopub.status.idle": "2024-06-25T15:05:55.517738Z", + "shell.execute_reply": "2024-06-25T15:05:55.517157Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.865268Z", - "iopub.status.busy": "2024-06-19T19:19:47.865045Z", - "iopub.status.idle": "2024-06-19T19:19:47.868720Z", - "shell.execute_reply": "2024-06-19T19:19:47.868230Z" + "iopub.execute_input": "2024-06-25T15:05:55.520011Z", + "iopub.status.busy": "2024-06-25T15:05:55.519777Z", + "iopub.status.idle": "2024-06-25T15:05:55.523257Z", + "shell.execute_reply": "2024-06-25T15:05:55.522815Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.870817Z", - "iopub.status.busy": "2024-06-19T19:19:47.870478Z", - "iopub.status.idle": "2024-06-19T19:19:47.878207Z", - "shell.execute_reply": "2024-06-19T19:19:47.877752Z" + "iopub.execute_input": "2024-06-25T15:05:55.525644Z", + "iopub.status.busy": "2024-06-25T15:05:55.525218Z", + "iopub.status.idle": "2024-06-25T15:05:55.533618Z", + "shell.execute_reply": "2024-06-25T15:05:55.533007Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.880333Z", - "iopub.status.busy": "2024-06-19T19:19:47.879984Z", - "iopub.status.idle": "2024-06-19T19:19:47.882488Z", - "shell.execute_reply": "2024-06-19T19:19:47.882076Z" + "iopub.execute_input": "2024-06-25T15:05:55.536190Z", + "iopub.status.busy": "2024-06-25T15:05:55.535771Z", + "iopub.status.idle": "2024-06-25T15:05:55.538695Z", + "shell.execute_reply": "2024-06-25T15:05:55.538108Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.884365Z", - "iopub.status.busy": "2024-06-19T19:19:47.884103Z", - "iopub.status.idle": "2024-06-19T19:19:50.909780Z", - "shell.execute_reply": "2024-06-19T19:19:50.909234Z" + "iopub.execute_input": "2024-06-25T15:05:55.541004Z", + "iopub.status.busy": "2024-06-25T15:05:55.540659Z", + "iopub.status.idle": "2024-06-25T15:05:58.495881Z", + "shell.execute_reply": "2024-06-25T15:05:58.495234Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:50.912867Z", - "iopub.status.busy": "2024-06-19T19:19:50.912330Z", - "iopub.status.idle": "2024-06-19T19:19:50.922196Z", - "shell.execute_reply": "2024-06-19T19:19:50.921748Z" + "iopub.execute_input": "2024-06-25T15:05:58.498548Z", + "iopub.status.busy": "2024-06-25T15:05:58.498203Z", + "iopub.status.idle": "2024-06-25T15:05:58.507784Z", + "shell.execute_reply": "2024-06-25T15:05:58.507216Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:50.924645Z", - "iopub.status.busy": "2024-06-19T19:19:50.924292Z", - "iopub.status.idle": "2024-06-19T19:19:52.940110Z", - "shell.execute_reply": "2024-06-19T19:19:52.939416Z" + "iopub.execute_input": "2024-06-25T15:05:58.510041Z", + "iopub.status.busy": "2024-06-25T15:05:58.509728Z", + "iopub.status.idle": "2024-06-25T15:06:00.491912Z", + "shell.execute_reply": "2024-06-25T15:06:00.491223Z" } }, "outputs": [ @@ -484,10 +484,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.944415Z", - "iopub.status.busy": "2024-06-19T19:19:52.943217Z", - "iopub.status.idle": "2024-06-19T19:19:52.969078Z", - "shell.execute_reply": "2024-06-19T19:19:52.968546Z" + "iopub.execute_input": "2024-06-25T15:06:00.494590Z", + "iopub.status.busy": "2024-06-25T15:06:00.494034Z", + "iopub.status.idle": "2024-06-25T15:06:00.513034Z", + "shell.execute_reply": "2024-06-25T15:06:00.512539Z" }, "scrolled": true }, @@ -584,18 +584,18 @@ " \n", "\n", "Number of examples with this issue: 1\n", - "Overall dataset quality in terms of this issue: 0.0014\n", + "Overall dataset quality in terms of this issue: 0.0000\n", "\n", "Examples representing most severe instances of this issue:\n", " is_non_iid_issue non_iid_score\n", - "595 True 0.702427\n", - "147 False 0.711186\n", - "157 False 0.721394\n", - "771 False 0.731979\n", - "898 False 0.740335\n", + "865 True 0.515002\n", + "837 False 0.556480\n", + "622 False 0.593068\n", + "329 False 0.593207\n", + "920 False 0.618041\n", "\n", "Additional Information: \n", - "p-value: 0.0014153602099278074\n" + "p-value: 1.4386345844794593e-05\n" ] } ], @@ -617,10 +617,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.972783Z", - "iopub.status.busy": "2024-06-19T19:19:52.971838Z", - "iopub.status.idle": "2024-06-19T19:19:52.983218Z", - "shell.execute_reply": "2024-06-19T19:19:52.982732Z" + "iopub.execute_input": "2024-06-25T15:06:00.515386Z", + "iopub.status.busy": "2024-06-25T15:06:00.515022Z", + "iopub.status.idle": "2024-06-25T15:06:00.523252Z", + "shell.execute_reply": "2024-06-25T15:06:00.522727Z" } }, "outputs": [ @@ -724,10 +724,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.986726Z", - "iopub.status.busy": "2024-06-19T19:19:52.985784Z", - "iopub.status.idle": "2024-06-19T19:19:52.997408Z", - "shell.execute_reply": "2024-06-19T19:19:52.996969Z" + "iopub.execute_input": "2024-06-25T15:06:00.525561Z", + "iopub.status.busy": "2024-06-25T15:06:00.525221Z", + "iopub.status.idle": "2024-06-25T15:06:00.534686Z", + "shell.execute_reply": "2024-06-25T15:06:00.534222Z" } }, "outputs": [ @@ -856,10 +856,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.999597Z", - "iopub.status.busy": "2024-06-19T19:19:52.999222Z", - "iopub.status.idle": "2024-06-19T19:19:53.007248Z", - "shell.execute_reply": "2024-06-19T19:19:53.006767Z" + "iopub.execute_input": "2024-06-25T15:06:00.536849Z", + "iopub.status.busy": "2024-06-25T15:06:00.536513Z", + "iopub.status.idle": "2024-06-25T15:06:00.544451Z", + "shell.execute_reply": "2024-06-25T15:06:00.543983Z" } }, "outputs": [ @@ -973,10 +973,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.009311Z", - "iopub.status.busy": "2024-06-19T19:19:53.009014Z", - "iopub.status.idle": "2024-06-19T19:19:53.017621Z", - "shell.execute_reply": "2024-06-19T19:19:53.017179Z" + "iopub.execute_input": "2024-06-25T15:06:00.546708Z", + "iopub.status.busy": "2024-06-25T15:06:00.546375Z", + "iopub.status.idle": "2024-06-25T15:06:00.555743Z", + "shell.execute_reply": "2024-06-25T15:06:00.555283Z" } }, "outputs": [ @@ -1087,10 +1087,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.019530Z", - "iopub.status.busy": "2024-06-19T19:19:53.019357Z", - "iopub.status.idle": "2024-06-19T19:19:53.026882Z", - "shell.execute_reply": "2024-06-19T19:19:53.026349Z" + "iopub.execute_input": "2024-06-25T15:06:00.558037Z", + "iopub.status.busy": "2024-06-25T15:06:00.557741Z", + "iopub.status.idle": "2024-06-25T15:06:00.565082Z", + "shell.execute_reply": "2024-06-25T15:06:00.564551Z" } }, "outputs": [ @@ -1205,10 +1205,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.028966Z", - "iopub.status.busy": "2024-06-19T19:19:53.028783Z", - "iopub.status.idle": "2024-06-19T19:19:53.037252Z", - "shell.execute_reply": "2024-06-19T19:19:53.036822Z" + "iopub.execute_input": "2024-06-25T15:06:00.567302Z", + "iopub.status.busy": "2024-06-25T15:06:00.566989Z", + "iopub.status.idle": "2024-06-25T15:06:00.574328Z", + "shell.execute_reply": "2024-06-25T15:06:00.573785Z" } }, "outputs": [ @@ -1308,10 +1308,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.039425Z", - "iopub.status.busy": "2024-06-19T19:19:53.039101Z", - "iopub.status.idle": "2024-06-19T19:19:53.047347Z", - "shell.execute_reply": "2024-06-19T19:19:53.046924Z" + "iopub.execute_input": "2024-06-25T15:06:00.576415Z", + "iopub.status.busy": "2024-06-25T15:06:00.576086Z", + "iopub.status.idle": "2024-06-25T15:06:00.584022Z", + "shell.execute_reply": "2024-06-25T15:06:00.583560Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index bea79f700..e36d9f50d 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": "2024-06-19T19:19:55.921461Z", - "iopub.status.busy": "2024-06-19T19:19:55.921065Z", - "iopub.status.idle": "2024-06-19T19:19:58.686540Z", - "shell.execute_reply": "2024-06-19T19:19:58.685973Z" + "iopub.execute_input": "2024-06-25T15:06:03.310140Z", + "iopub.status.busy": "2024-06-25T15:06:03.309948Z", + "iopub.status.idle": "2024-06-25T15:06:06.078244Z", + "shell.execute_reply": "2024-06-25T15:06:06.077724Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:19:58.689087Z", - "iopub.status.busy": "2024-06-19T19:19:58.688773Z", - "iopub.status.idle": "2024-06-19T19:19:58.692303Z", - "shell.execute_reply": "2024-06-19T19:19:58.691719Z" + "iopub.execute_input": "2024-06-25T15:06:06.080800Z", + "iopub.status.busy": "2024-06-25T15:06:06.080495Z", + "iopub.status.idle": "2024-06-25T15:06:06.083847Z", + "shell.execute_reply": "2024-06-25T15:06:06.083397Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:58.694348Z", - "iopub.status.busy": "2024-06-19T19:19:58.693956Z", - "iopub.status.idle": "2024-06-19T19:19:58.697133Z", - "shell.execute_reply": "2024-06-19T19:19:58.696583Z" + "iopub.execute_input": "2024-06-25T15:06:06.085931Z", + "iopub.status.busy": "2024-06-25T15:06:06.085521Z", + "iopub.status.idle": "2024-06-25T15:06:06.088570Z", + "shell.execute_reply": "2024-06-25T15:06:06.088138Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:58.699102Z", - "iopub.status.busy": "2024-06-19T19:19:58.698813Z", - "iopub.status.idle": "2024-06-19T19:19:58.720680Z", - "shell.execute_reply": "2024-06-19T19:19:58.720145Z" + "iopub.execute_input": "2024-06-25T15:06:06.090655Z", + "iopub.status.busy": "2024-06-25T15:06:06.090325Z", + "iopub.status.idle": "2024-06-25T15:06:06.112919Z", + "shell.execute_reply": "2024-06-25T15:06:06.112377Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:58.722797Z", - "iopub.status.busy": "2024-06-19T19:19:58.722460Z", - "iopub.status.idle": "2024-06-19T19:19:58.726351Z", - "shell.execute_reply": "2024-06-19T19:19:58.725883Z" + "iopub.execute_input": "2024-06-25T15:06:06.115003Z", + "iopub.status.busy": "2024-06-25T15:06:06.114659Z", + "iopub.status.idle": "2024-06-25T15:06:06.118309Z", + "shell.execute_reply": "2024-06-25T15:06:06.117792Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_about_to_expire', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'cancel_transfer', 'change_pin', 'card_payment_fee_charged', 'supported_cards_and_currencies', 'getting_spare_card'}\n" + "Classes: {'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'getting_spare_card', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'card_about_to_expire', 'card_payment_fee_charged', 'visa_or_mastercard', 'cancel_transfer', 'change_pin'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:58.728351Z", - "iopub.status.busy": "2024-06-19T19:19:58.728078Z", - "iopub.status.idle": "2024-06-19T19:19:58.731399Z", - "shell.execute_reply": "2024-06-19T19:19:58.730940Z" + "iopub.execute_input": "2024-06-25T15:06:06.120441Z", + "iopub.status.busy": "2024-06-25T15:06:06.120102Z", + "iopub.status.idle": "2024-06-25T15:06:06.123333Z", + "shell.execute_reply": "2024-06-25T15:06:06.122880Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:58.733284Z", - "iopub.status.busy": "2024-06-19T19:19:58.733115Z", - "iopub.status.idle": "2024-06-19T19:20:02.528585Z", - "shell.execute_reply": "2024-06-19T19:20:02.527923Z" + "iopub.execute_input": "2024-06-25T15:06:06.125271Z", + "iopub.status.busy": "2024-06-25T15:06:06.125091Z", + "iopub.status.idle": "2024-06-25T15:06:09.761405Z", + "shell.execute_reply": "2024-06-25T15:06:09.760777Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:02.531337Z", - "iopub.status.busy": "2024-06-19T19:20:02.531097Z", - "iopub.status.idle": "2024-06-19T19:20:03.392291Z", - "shell.execute_reply": "2024-06-19T19:20:03.391626Z" + "iopub.execute_input": "2024-06-25T15:06:09.764366Z", + "iopub.status.busy": "2024-06-25T15:06:09.763953Z", + "iopub.status.idle": "2024-06-25T15:06:10.672531Z", + "shell.execute_reply": "2024-06-25T15:06:10.671950Z" }, "scrolled": true }, @@ -459,10 +459,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:03.395386Z", - "iopub.status.busy": "2024-06-19T19:20:03.394909Z", - "iopub.status.idle": "2024-06-19T19:20:03.398263Z", - "shell.execute_reply": "2024-06-19T19:20:03.397746Z" + "iopub.execute_input": "2024-06-25T15:06:10.675311Z", + "iopub.status.busy": "2024-06-25T15:06:10.674902Z", + "iopub.status.idle": "2024-06-25T15:06:10.678030Z", + "shell.execute_reply": "2024-06-25T15:06:10.677538Z" } }, "outputs": [], @@ -482,10 +482,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:03.400850Z", - "iopub.status.busy": "2024-06-19T19:20:03.400422Z", - "iopub.status.idle": "2024-06-19T19:20:05.480822Z", - "shell.execute_reply": "2024-06-19T19:20:05.480079Z" + "iopub.execute_input": "2024-06-25T15:06:10.681272Z", + "iopub.status.busy": "2024-06-25T15:06:10.680332Z", + "iopub.status.idle": "2024-06-25T15:06:12.710322Z", + "shell.execute_reply": "2024-06-25T15:06:12.709521Z" }, "scrolled": true }, @@ -503,7 +503,6 @@ "output_type": "stream", "text": [ "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n", "Finding near_duplicate issues ...\n", "Finding non_iid issues ...\n", "Finding class_imbalance issues ...\n", @@ -538,10 +537,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.484259Z", - "iopub.status.busy": "2024-06-19T19:20:05.483575Z", - "iopub.status.idle": "2024-06-19T19:20:05.508414Z", - "shell.execute_reply": "2024-06-19T19:20:05.507836Z" + "iopub.execute_input": "2024-06-25T15:06:12.714094Z", + "iopub.status.busy": "2024-06-25T15:06:12.712733Z", + "iopub.status.idle": "2024-06-25T15:06:12.740871Z", + "shell.execute_reply": "2024-06-25T15:06:12.740336Z" }, "scrolled": true }, @@ -671,10 +670,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.511364Z", - "iopub.status.busy": "2024-06-19T19:20:05.510990Z", - "iopub.status.idle": "2024-06-19T19:20:05.520902Z", - "shell.execute_reply": "2024-06-19T19:20:05.520466Z" + "iopub.execute_input": "2024-06-25T15:06:12.744609Z", + "iopub.status.busy": "2024-06-25T15:06:12.743668Z", + "iopub.status.idle": "2024-06-25T15:06:12.753232Z", + "shell.execute_reply": "2024-06-25T15:06:12.752805Z" }, "scrolled": true }, @@ -784,10 +783,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.523270Z", - "iopub.status.busy": "2024-06-19T19:20:05.522920Z", - "iopub.status.idle": "2024-06-19T19:20:05.527585Z", - "shell.execute_reply": "2024-06-19T19:20:05.527115Z" + "iopub.execute_input": "2024-06-25T15:06:12.755556Z", + "iopub.status.busy": "2024-06-25T15:06:12.755179Z", + "iopub.status.idle": "2024-06-25T15:06:12.759708Z", + "shell.execute_reply": "2024-06-25T15:06:12.759225Z" } }, "outputs": [ @@ -825,10 +824,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.529707Z", - "iopub.status.busy": "2024-06-19T19:20:05.529365Z", - "iopub.status.idle": "2024-06-19T19:20:05.535772Z", - "shell.execute_reply": "2024-06-19T19:20:05.535340Z" + "iopub.execute_input": "2024-06-25T15:06:12.761666Z", + "iopub.status.busy": "2024-06-25T15:06:12.761482Z", + "iopub.status.idle": "2024-06-25T15:06:12.768857Z", + "shell.execute_reply": "2024-06-25T15:06:12.768424Z" } }, "outputs": [ @@ -945,10 +944,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.538086Z", - "iopub.status.busy": "2024-06-19T19:20:05.537700Z", - "iopub.status.idle": "2024-06-19T19:20:05.545632Z", - "shell.execute_reply": "2024-06-19T19:20:05.545077Z" + "iopub.execute_input": "2024-06-25T15:06:12.771073Z", + "iopub.status.busy": "2024-06-25T15:06:12.770731Z", + "iopub.status.idle": "2024-06-25T15:06:12.777805Z", + "shell.execute_reply": "2024-06-25T15:06:12.777209Z" } }, "outputs": [ @@ -1031,10 +1030,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.547822Z", - "iopub.status.busy": "2024-06-19T19:20:05.547618Z", - "iopub.status.idle": "2024-06-19T19:20:05.554294Z", - "shell.execute_reply": "2024-06-19T19:20:05.553704Z" + "iopub.execute_input": "2024-06-25T15:06:12.780008Z", + "iopub.status.busy": "2024-06-25T15:06:12.779662Z", + "iopub.status.idle": "2024-06-25T15:06:12.785862Z", + "shell.execute_reply": "2024-06-25T15:06:12.785305Z" } }, "outputs": [ @@ -1142,10 +1141,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.557004Z", - "iopub.status.busy": "2024-06-19T19:20:05.556418Z", - "iopub.status.idle": "2024-06-19T19:20:05.565793Z", - "shell.execute_reply": "2024-06-19T19:20:05.565255Z" + "iopub.execute_input": "2024-06-25T15:06:12.788039Z", + "iopub.status.busy": "2024-06-25T15:06:12.787695Z", + "iopub.status.idle": "2024-06-25T15:06:12.796598Z", + "shell.execute_reply": "2024-06-25T15:06:12.796117Z" } }, "outputs": [ @@ -1256,10 +1255,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.567814Z", - "iopub.status.busy": "2024-06-19T19:20:05.567501Z", - "iopub.status.idle": "2024-06-19T19:20:05.572808Z", - "shell.execute_reply": "2024-06-19T19:20:05.572370Z" + "iopub.execute_input": "2024-06-25T15:06:12.798761Z", + "iopub.status.busy": "2024-06-25T15:06:12.798339Z", + "iopub.status.idle": "2024-06-25T15:06:12.804198Z", + "shell.execute_reply": "2024-06-25T15:06:12.803596Z" } }, "outputs": [ @@ -1327,10 +1326,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.574638Z", - "iopub.status.busy": "2024-06-19T19:20:05.574461Z", - "iopub.status.idle": "2024-06-19T19:20:05.580053Z", - "shell.execute_reply": "2024-06-19T19:20:05.579492Z" + "iopub.execute_input": "2024-06-25T15:06:12.806290Z", + "iopub.status.busy": "2024-06-25T15:06:12.806023Z", + "iopub.status.idle": "2024-06-25T15:06:12.811848Z", + "shell.execute_reply": "2024-06-25T15:06:12.811245Z" } }, "outputs": [ @@ -1409,10 +1408,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.582357Z", - "iopub.status.busy": "2024-06-19T19:20:05.581930Z", - "iopub.status.idle": "2024-06-19T19:20:05.585841Z", - "shell.execute_reply": "2024-06-19T19:20:05.585309Z" + "iopub.execute_input": "2024-06-25T15:06:12.814135Z", + "iopub.status.busy": "2024-06-25T15:06:12.813789Z", + "iopub.status.idle": "2024-06-25T15:06:12.817516Z", + "shell.execute_reply": "2024-06-25T15:06:12.817009Z" } }, "outputs": [ @@ -1460,10 +1459,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:05.587908Z", - "iopub.status.busy": "2024-06-19T19:20:05.587587Z", - "iopub.status.idle": "2024-06-19T19:20:05.592575Z", - "shell.execute_reply": "2024-06-19T19:20:05.592115Z" + "iopub.execute_input": "2024-06-25T15:06:12.819727Z", + "iopub.status.busy": "2024-06-25T15:06:12.819372Z", + "iopub.status.idle": "2024-06-25T15:06:12.825056Z", + "shell.execute_reply": "2024-06-25T15:06:12.824565Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb index e9f634a5d..59a8b0306 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/workflows.ipynb @@ -38,10 +38,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.228939Z", - "iopub.status.busy": "2024-06-19T19:20:09.228470Z", - "iopub.status.idle": "2024-06-19T19:20:09.669818Z", - "shell.execute_reply": "2024-06-19T19:20:09.669215Z" + "iopub.execute_input": "2024-06-25T15:06:16.357511Z", + "iopub.status.busy": "2024-06-25T15:06:16.357338Z", + "iopub.status.idle": "2024-06-25T15:06:16.782125Z", + "shell.execute_reply": "2024-06-25T15:06:16.781616Z" } }, "outputs": [], @@ -87,18 +87,18 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.672744Z", - "iopub.status.busy": "2024-06-19T19:20:09.672210Z", - "iopub.status.idle": "2024-06-19T19:20:09.809087Z", - "shell.execute_reply": "2024-06-19T19:20:09.808481Z" + "iopub.execute_input": "2024-06-25T15:06:16.784661Z", + "iopub.status.busy": "2024-06-25T15:06:16.784422Z", + "iopub.status.idle": "2024-06-25T15:06:16.913303Z", + "shell.execute_reply": "2024-06-25T15:06:16.912723Z" } }, "outputs": [ { "data": { "text/plain": [ - "<5000x5000 sparse matrix of type ''\n", - "\twith 50000 stored elements in Compressed Sparse Row format>" + "" ] }, "execution_count": 2, @@ -181,10 +181,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.811391Z", - "iopub.status.busy": "2024-06-19T19:20:09.810983Z", - "iopub.status.idle": "2024-06-19T19:20:09.832181Z", - "shell.execute_reply": "2024-06-19T19:20:09.831496Z" + "iopub.execute_input": "2024-06-25T15:06:16.915807Z", + "iopub.status.busy": "2024-06-25T15:06:16.915394Z", + "iopub.status.idle": "2024-06-25T15:06:16.935663Z", + "shell.execute_reply": "2024-06-25T15:06:16.935129Z" } }, "outputs": [], @@ -210,10 +210,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.835601Z", - "iopub.status.busy": "2024-06-19T19:20:09.835034Z", - "iopub.status.idle": "2024-06-19T19:20:12.770224Z", - "shell.execute_reply": "2024-06-19T19:20:12.769670Z" + "iopub.execute_input": "2024-06-25T15:06:16.938219Z", + "iopub.status.busy": "2024-06-25T15:06:16.937909Z", + "iopub.status.idle": "2024-06-25T15:06:19.826408Z", + "shell.execute_reply": "2024-06-25T15:06:19.825870Z" } }, "outputs": [ @@ -243,7 +243,7 @@ "Finding class_imbalance issues ...\n", "Finding underperforming_group issues ...\n", "\n", - "Audit complete. 523 issues found in the dataset.\n" + "Audit complete. 524 issues found in the dataset.\n" ] }, { @@ -296,13 +296,13 @@ " \n", " 2\n", " outlier\n", - " 0.356958\n", - " 362\n", + " 0.356924\n", + " 363\n", " \n", " \n", " 3\n", " near_duplicate\n", - " 0.619565\n", + " 0.619581\n", " 108\n", " \n", " \n", @@ -331,8 +331,8 @@ " issue_type score num_issues\n", "0 null 1.000000 0\n", "1 label 0.991400 52\n", - "2 outlier 0.356958 362\n", - "3 near_duplicate 0.619565 108\n", + "2 outlier 0.356924 363\n", + "3 near_duplicate 0.619581 108\n", "4 non_iid 0.000000 1\n", "5 class_imbalance 0.500000 0\n", "6 underperforming_group 0.651929 0" @@ -716,10 +716,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:12.772861Z", - "iopub.status.busy": "2024-06-19T19:20:12.772291Z", - "iopub.status.idle": "2024-06-19T19:20:20.893235Z", - "shell.execute_reply": "2024-06-19T19:20:20.892612Z" + "iopub.execute_input": "2024-06-25T15:06:19.829102Z", + "iopub.status.busy": "2024-06-25T15:06:19.828547Z", + "iopub.status.idle": "2024-06-25T15:06:27.884424Z", + "shell.execute_reply": "2024-06-25T15:06:27.883802Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:20.895454Z", - "iopub.status.busy": "2024-06-19T19:20:20.895085Z", - "iopub.status.idle": "2024-06-19T19:20:21.080578Z", - "shell.execute_reply": "2024-06-19T19:20:21.079989Z" + "iopub.execute_input": "2024-06-25T15:06:27.886797Z", + "iopub.status.busy": "2024-06-25T15:06:27.886448Z", + "iopub.status.idle": "2024-06-25T15:06:28.036685Z", + "shell.execute_reply": "2024-06-25T15:06:28.036171Z" } }, "outputs": [], @@ -854,10 +854,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:21.083140Z", - "iopub.status.busy": "2024-06-19T19:20:21.082757Z", - "iopub.status.idle": "2024-06-19T19:20:22.443060Z", - "shell.execute_reply": "2024-06-19T19:20:22.442549Z" + "iopub.execute_input": "2024-06-25T15:06:28.039086Z", + "iopub.status.busy": "2024-06-25T15:06:28.038885Z", + "iopub.status.idle": "2024-06-25T15:06:29.411474Z", + "shell.execute_reply": "2024-06-25T15:06:29.410868Z" } }, "outputs": [ @@ -1016,10 +1016,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.445433Z", - "iopub.status.busy": "2024-06-19T19:20:22.445039Z", - "iopub.status.idle": "2024-06-19T19:20:22.912135Z", - "shell.execute_reply": "2024-06-19T19:20:22.911505Z" + "iopub.execute_input": "2024-06-25T15:06:29.414021Z", + "iopub.status.busy": "2024-06-25T15:06:29.413520Z", + "iopub.status.idle": "2024-06-25T15:06:29.844054Z", + "shell.execute_reply": "2024-06-25T15:06:29.843434Z" } }, "outputs": [ @@ -1098,10 +1098,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.914513Z", - "iopub.status.busy": "2024-06-19T19:20:22.914016Z", - "iopub.status.idle": "2024-06-19T19:20:22.923076Z", - "shell.execute_reply": "2024-06-19T19:20:22.922641Z" + "iopub.execute_input": "2024-06-25T15:06:29.846611Z", + "iopub.status.busy": "2024-06-25T15:06:29.846082Z", + "iopub.status.idle": "2024-06-25T15:06:29.855501Z", + "shell.execute_reply": "2024-06-25T15:06:29.855053Z" } }, "outputs": [], @@ -1131,10 +1131,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.925387Z", - "iopub.status.busy": "2024-06-19T19:20:22.924938Z", - "iopub.status.idle": "2024-06-19T19:20:22.950519Z", - "shell.execute_reply": "2024-06-19T19:20:22.949866Z" + "iopub.execute_input": "2024-06-25T15:06:29.857684Z", + "iopub.status.busy": "2024-06-25T15:06:29.857342Z", + "iopub.status.idle": "2024-06-25T15:06:29.876701Z", + "shell.execute_reply": "2024-06-25T15:06:29.876240Z" } }, "outputs": [], @@ -1162,10 +1162,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.953417Z", - "iopub.status.busy": "2024-06-19T19:20:22.952958Z", - "iopub.status.idle": "2024-06-19T19:20:23.171694Z", - "shell.execute_reply": "2024-06-19T19:20:23.171151Z" + "iopub.execute_input": "2024-06-25T15:06:29.878886Z", + "iopub.status.busy": "2024-06-25T15:06:29.878539Z", + "iopub.status.idle": "2024-06-25T15:06:30.106388Z", + "shell.execute_reply": "2024-06-25T15:06:30.105851Z" } }, "outputs": [], @@ -1205,10 +1205,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.174445Z", - "iopub.status.busy": "2024-06-19T19:20:23.174034Z", - "iopub.status.idle": "2024-06-19T19:20:23.193976Z", - "shell.execute_reply": "2024-06-19T19:20:23.193453Z" + "iopub.execute_input": "2024-06-25T15:06:30.109063Z", + "iopub.status.busy": "2024-06-25T15:06:30.108673Z", + "iopub.status.idle": "2024-06-25T15:06:30.128840Z", + "shell.execute_reply": "2024-06-25T15:06:30.128348Z" } }, "outputs": [ @@ -1406,10 +1406,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.196426Z", - "iopub.status.busy": "2024-06-19T19:20:23.195868Z", - "iopub.status.idle": "2024-06-19T19:20:23.365274Z", - "shell.execute_reply": "2024-06-19T19:20:23.364696Z" + "iopub.execute_input": "2024-06-25T15:06:30.131036Z", + "iopub.status.busy": "2024-06-25T15:06:30.130679Z", + "iopub.status.idle": "2024-06-25T15:06:30.299607Z", + "shell.execute_reply": "2024-06-25T15:06:30.299018Z" } }, "outputs": [ @@ -1476,10 +1476,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.367857Z", - "iopub.status.busy": "2024-06-19T19:20:23.367490Z", - "iopub.status.idle": "2024-06-19T19:20:23.378001Z", - "shell.execute_reply": "2024-06-19T19:20:23.377517Z" + "iopub.execute_input": "2024-06-25T15:06:30.302247Z", + "iopub.status.busy": "2024-06-25T15:06:30.301878Z", + "iopub.status.idle": "2024-06-25T15:06:30.312262Z", + "shell.execute_reply": "2024-06-25T15:06:30.311779Z" } }, "outputs": [ @@ -1745,10 +1745,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.380131Z", - "iopub.status.busy": "2024-06-19T19:20:23.379763Z", - "iopub.status.idle": "2024-06-19T19:20:23.389467Z", - "shell.execute_reply": "2024-06-19T19:20:23.388989Z" + "iopub.execute_input": "2024-06-25T15:06:30.314328Z", + "iopub.status.busy": "2024-06-25T15:06:30.314138Z", + "iopub.status.idle": "2024-06-25T15:06:30.324056Z", + "shell.execute_reply": "2024-06-25T15:06:30.323583Z" } }, "outputs": [ @@ -1935,10 +1935,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.391686Z", - "iopub.status.busy": "2024-06-19T19:20:23.391320Z", - "iopub.status.idle": "2024-06-19T19:20:23.422362Z", - "shell.execute_reply": "2024-06-19T19:20:23.421838Z" + "iopub.execute_input": "2024-06-25T15:06:30.326026Z", + "iopub.status.busy": "2024-06-25T15:06:30.325841Z", + "iopub.status.idle": "2024-06-25T15:06:30.369881Z", + "shell.execute_reply": "2024-06-25T15:06:30.369243Z" } }, "outputs": [], @@ -1972,10 +1972,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.424816Z", - "iopub.status.busy": "2024-06-19T19:20:23.424440Z", - "iopub.status.idle": "2024-06-19T19:20:23.427346Z", - "shell.execute_reply": "2024-06-19T19:20:23.426883Z" + "iopub.execute_input": "2024-06-25T15:06:30.372404Z", + "iopub.status.busy": "2024-06-25T15:06:30.372025Z", + "iopub.status.idle": "2024-06-25T15:06:30.375453Z", + "shell.execute_reply": "2024-06-25T15:06:30.375013Z" } }, "outputs": [], @@ -1997,10 +1997,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.429536Z", - "iopub.status.busy": "2024-06-19T19:20:23.429099Z", - "iopub.status.idle": "2024-06-19T19:20:23.449596Z", - "shell.execute_reply": "2024-06-19T19:20:23.449011Z" + "iopub.execute_input": "2024-06-25T15:06:30.377426Z", + "iopub.status.busy": "2024-06-25T15:06:30.377231Z", + "iopub.status.idle": "2024-06-25T15:06:30.399073Z", + "shell.execute_reply": "2024-06-25T15:06:30.398517Z" } }, "outputs": [ @@ -2158,10 +2158,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.452107Z", - "iopub.status.busy": "2024-06-19T19:20:23.451668Z", - "iopub.status.idle": "2024-06-19T19:20:23.456230Z", - "shell.execute_reply": "2024-06-19T19:20:23.455738Z" + "iopub.execute_input": "2024-06-25T15:06:30.401795Z", + "iopub.status.busy": "2024-06-25T15:06:30.401389Z", + "iopub.status.idle": "2024-06-25T15:06:30.406701Z", + "shell.execute_reply": "2024-06-25T15:06:30.406177Z" } }, "outputs": [], @@ -2194,10 +2194,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.458405Z", - "iopub.status.busy": "2024-06-19T19:20:23.458046Z", - "iopub.status.idle": "2024-06-19T19:20:23.486463Z", - "shell.execute_reply": "2024-06-19T19:20:23.485941Z" + "iopub.execute_input": "2024-06-25T15:06:30.409221Z", + "iopub.status.busy": "2024-06-25T15:06:30.408832Z", + "iopub.status.idle": "2024-06-25T15:06:30.439954Z", + "shell.execute_reply": "2024-06-25T15:06:30.439347Z" } }, "outputs": [ @@ -2343,10 +2343,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.488681Z", - "iopub.status.busy": "2024-06-19T19:20:23.488318Z", - "iopub.status.idle": "2024-06-19T19:20:23.869947Z", - "shell.execute_reply": "2024-06-19T19:20:23.869318Z" + "iopub.execute_input": "2024-06-25T15:06:30.442144Z", + "iopub.status.busy": "2024-06-25T15:06:30.441952Z", + "iopub.status.idle": "2024-06-25T15:06:30.815142Z", + "shell.execute_reply": "2024-06-25T15:06:30.814539Z" } }, "outputs": [ @@ -2413,10 +2413,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.872612Z", - "iopub.status.busy": "2024-06-19T19:20:23.872141Z", - "iopub.status.idle": "2024-06-19T19:20:23.875777Z", - "shell.execute_reply": "2024-06-19T19:20:23.875191Z" + "iopub.execute_input": "2024-06-25T15:06:30.817449Z", + "iopub.status.busy": "2024-06-25T15:06:30.817032Z", + "iopub.status.idle": "2024-06-25T15:06:30.820380Z", + "shell.execute_reply": "2024-06-25T15:06:30.819817Z" } }, "outputs": [ @@ -2467,10 +2467,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.878097Z", - "iopub.status.busy": "2024-06-19T19:20:23.877890Z", - "iopub.status.idle": "2024-06-19T19:20:23.891740Z", - "shell.execute_reply": "2024-06-19T19:20:23.891169Z" + "iopub.execute_input": "2024-06-25T15:06:30.822583Z", + "iopub.status.busy": "2024-06-25T15:06:30.822235Z", + "iopub.status.idle": "2024-06-25T15:06:30.835457Z", + "shell.execute_reply": "2024-06-25T15:06:30.835004Z" } }, "outputs": [ @@ -2749,10 +2749,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.893864Z", - "iopub.status.busy": "2024-06-19T19:20:23.893673Z", - "iopub.status.idle": "2024-06-19T19:20:23.907800Z", - "shell.execute_reply": "2024-06-19T19:20:23.907313Z" + "iopub.execute_input": "2024-06-25T15:06:30.837603Z", + "iopub.status.busy": "2024-06-25T15:06:30.837185Z", + "iopub.status.idle": "2024-06-25T15:06:30.850826Z", + "shell.execute_reply": "2024-06-25T15:06:30.850267Z" } }, "outputs": [ @@ -3019,10 +3019,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.910005Z", - "iopub.status.busy": "2024-06-19T19:20:23.909657Z", - "iopub.status.idle": "2024-06-19T19:20:23.920159Z", - "shell.execute_reply": "2024-06-19T19:20:23.919682Z" + "iopub.execute_input": "2024-06-25T15:06:30.852964Z", + "iopub.status.busy": "2024-06-25T15:06:30.852527Z", + "iopub.status.idle": "2024-06-25T15:06:30.862344Z", + "shell.execute_reply": "2024-06-25T15:06:30.861912Z" } }, "outputs": [], @@ -3047,10 +3047,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.922419Z", - "iopub.status.busy": "2024-06-19T19:20:23.922093Z", - "iopub.status.idle": "2024-06-19T19:20:23.931857Z", - "shell.execute_reply": "2024-06-19T19:20:23.931334Z" + "iopub.execute_input": "2024-06-25T15:06:30.864398Z", + "iopub.status.busy": "2024-06-25T15:06:30.864010Z", + "iopub.status.idle": "2024-06-25T15:06:30.873707Z", + "shell.execute_reply": "2024-06-25T15:06:30.873163Z" } }, "outputs": [ @@ -3222,10 +3222,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.934010Z", - "iopub.status.busy": "2024-06-19T19:20:23.933660Z", - "iopub.status.idle": "2024-06-19T19:20:23.937719Z", - "shell.execute_reply": "2024-06-19T19:20:23.937199Z" + "iopub.execute_input": "2024-06-25T15:06:30.875692Z", + "iopub.status.busy": "2024-06-25T15:06:30.875500Z", + "iopub.status.idle": "2024-06-25T15:06:30.879148Z", + "shell.execute_reply": "2024-06-25T15:06:30.878702Z" } }, "outputs": [], @@ -3257,10 +3257,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.940084Z", - "iopub.status.busy": "2024-06-19T19:20:23.939696Z", - "iopub.status.idle": "2024-06-19T19:20:23.992835Z", - "shell.execute_reply": "2024-06-19T19:20:23.992215Z" + "iopub.execute_input": "2024-06-25T15:06:30.881201Z", + "iopub.status.busy": 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 AgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_scoreAgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_score
8nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
1nanFemaleRural6421.1600005.000000NaTFalse0.666667
9nanMaleRural4655.8200001.000000NaTFalse0.666667
14nanMaleRural6790.4600003.000000NaTFalse0.666667
13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.000000
\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3567,10 +3567,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.995486Z", - "iopub.status.busy": "2024-06-19T19:20:23.994935Z", - "iopub.status.idle": "2024-06-19T19:20:24.001075Z", - "shell.execute_reply": "2024-06-19T19:20:24.000509Z" + "iopub.execute_input": "2024-06-25T15:06:30.936004Z", + "iopub.status.busy": "2024-06-25T15:06:30.935597Z", + "iopub.status.idle": "2024-06-25T15:06:30.941530Z", + "shell.execute_reply": "2024-06-25T15:06:30.940983Z" } }, "outputs": [], @@ -3609,10 +3609,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.003425Z", - "iopub.status.busy": "2024-06-19T19:20:24.003027Z", - "iopub.status.idle": "2024-06-19T19:20:24.015572Z", - "shell.execute_reply": "2024-06-19T19:20:24.014974Z" + "iopub.execute_input": "2024-06-25T15:06:30.943525Z", + "iopub.status.busy": "2024-06-25T15:06:30.943342Z", + "iopub.status.idle": "2024-06-25T15:06:30.955301Z", + "shell.execute_reply": "2024-06-25T15:06:30.954811Z" } }, "outputs": [ @@ -3648,10 +3648,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.017952Z", - "iopub.status.busy": "2024-06-19T19:20:24.017605Z", - "iopub.status.idle": "2024-06-19T19:20:24.237620Z", - "shell.execute_reply": "2024-06-19T19:20:24.237034Z" + "iopub.execute_input": "2024-06-25T15:06:30.957425Z", + "iopub.status.busy": "2024-06-25T15:06:30.957237Z", + "iopub.status.idle": "2024-06-25T15:06:31.141088Z", + "shell.execute_reply": "2024-06-25T15:06:31.140485Z" } }, "outputs": [ @@ -3703,10 +3703,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.239799Z", - "iopub.status.busy": "2024-06-19T19:20:24.239603Z", - "iopub.status.idle": "2024-06-19T19:20:24.247776Z", - "shell.execute_reply": "2024-06-19T19:20:24.247209Z" + "iopub.execute_input": "2024-06-25T15:06:31.143349Z", + "iopub.status.busy": "2024-06-25T15:06:31.143165Z", + "iopub.status.idle": "2024-06-25T15:06:31.151178Z", + "shell.execute_reply": "2024-06-25T15:06:31.150714Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb index 227b3b27f..0961ceb6a 100644 --- a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:27.778079Z", - "iopub.status.busy": "2024-06-19T19:20:27.777878Z", - "iopub.status.idle": "2024-06-19T19:20:28.926307Z", - "shell.execute_reply": "2024-06-19T19:20:28.925749Z" + "iopub.execute_input": "2024-06-25T15:06:34.657906Z", + "iopub.status.busy": "2024-06-25T15:06:34.657727Z", + "iopub.status.idle": "2024-06-25T15:06:35.814256Z", + "shell.execute_reply": "2024-06-25T15:06:35.813750Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.929078Z", - "iopub.status.busy": "2024-06-19T19:20:28.928525Z", - "iopub.status.idle": "2024-06-19T19:20:28.931516Z", - "shell.execute_reply": "2024-06-19T19:20:28.930965Z" + "iopub.execute_input": "2024-06-25T15:06:35.816783Z", + "iopub.status.busy": "2024-06-25T15:06:35.816461Z", + "iopub.status.idle": "2024-06-25T15:06:35.819405Z", + "shell.execute_reply": "2024-06-25T15:06:35.818866Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.933864Z", - "iopub.status.busy": "2024-06-19T19:20:28.933647Z", - "iopub.status.idle": "2024-06-19T19:20:28.945880Z", - "shell.execute_reply": "2024-06-19T19:20:28.945418Z" + "iopub.execute_input": "2024-06-25T15:06:35.821594Z", + "iopub.status.busy": "2024-06-25T15:06:35.821369Z", + "iopub.status.idle": "2024-06-25T15:06:35.833892Z", + "shell.execute_reply": "2024-06-25T15:06:35.833341Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.948011Z", - "iopub.status.busy": "2024-06-19T19:20:28.947713Z", - "iopub.status.idle": "2024-06-19T19:20:33.050909Z", - "shell.execute_reply": "2024-06-19T19:20:33.050438Z" + "iopub.execute_input": "2024-06-25T15:06:35.836172Z", + "iopub.status.busy": "2024-06-25T15:06:35.835850Z", + "iopub.status.idle": "2024-06-25T15:06:41.594468Z", + "shell.execute_reply": "2024-06-25T15:06:41.593884Z" }, "id": "dhTHOg8Pyv5G" }, @@ -694,7 +694,13 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index e3433290e..95950f3ed 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": "2024-06-19T19:20:35.348749Z", - "iopub.status.busy": "2024-06-19T19:20:35.348229Z", - "iopub.status.idle": "2024-06-19T19:20:36.499838Z", - "shell.execute_reply": "2024-06-19T19:20:36.499274Z" + "iopub.execute_input": "2024-06-25T15:06:43.789570Z", + "iopub.status.busy": "2024-06-25T15:06:43.789391Z", + "iopub.status.idle": "2024-06-25T15:06:44.946295Z", + "shell.execute_reply": "2024-06-25T15:06:44.945642Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:36.502640Z", - "iopub.status.busy": "2024-06-19T19:20:36.502173Z", - "iopub.status.idle": "2024-06-19T19:20:36.505598Z", - "shell.execute_reply": "2024-06-19T19:20:36.505129Z" + "iopub.execute_input": "2024-06-25T15:06:44.949199Z", + "iopub.status.busy": "2024-06-25T15:06:44.948725Z", + "iopub.status.idle": "2024-06-25T15:06:44.952300Z", + "shell.execute_reply": "2024-06-25T15:06:44.951754Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:36.507500Z", - "iopub.status.busy": "2024-06-19T19:20:36.507231Z", - "iopub.status.idle": "2024-06-19T19:20:39.749988Z", - "shell.execute_reply": "2024-06-19T19:20:39.749377Z" + "iopub.execute_input": "2024-06-25T15:06:44.955089Z", + "iopub.status.busy": "2024-06-25T15:06:44.954818Z", + "iopub.status.idle": "2024-06-25T15:06:48.262608Z", + "shell.execute_reply": "2024-06-25T15:06:48.261846Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.753092Z", - "iopub.status.busy": "2024-06-19T19:20:39.752345Z", - "iopub.status.idle": "2024-06-19T19:20:39.790210Z", - "shell.execute_reply": "2024-06-19T19:20:39.789626Z" + "iopub.execute_input": "2024-06-25T15:06:48.265713Z", + "iopub.status.busy": "2024-06-25T15:06:48.265081Z", + "iopub.status.idle": "2024-06-25T15:06:48.307221Z", + "shell.execute_reply": "2024-06-25T15:06:48.306620Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.792710Z", - "iopub.status.busy": "2024-06-19T19:20:39.792407Z", - "iopub.status.idle": "2024-06-19T19:20:39.824707Z", - "shell.execute_reply": "2024-06-19T19:20:39.824092Z" + "iopub.execute_input": "2024-06-25T15:06:48.309865Z", + "iopub.status.busy": "2024-06-25T15:06:48.309483Z", + "iopub.status.idle": "2024-06-25T15:06:48.345475Z", + "shell.execute_reply": "2024-06-25T15:06:48.344853Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.827297Z", - "iopub.status.busy": "2024-06-19T19:20:39.826994Z", - "iopub.status.idle": "2024-06-19T19:20:39.829929Z", - "shell.execute_reply": "2024-06-19T19:20:39.829489Z" + "iopub.execute_input": "2024-06-25T15:06:48.348514Z", + "iopub.status.busy": "2024-06-25T15:06:48.347972Z", + "iopub.status.idle": "2024-06-25T15:06:48.351300Z", + "shell.execute_reply": "2024-06-25T15:06:48.350810Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.831929Z", - "iopub.status.busy": "2024-06-19T19:20:39.831606Z", - "iopub.status.idle": "2024-06-19T19:20:39.834113Z", - "shell.execute_reply": "2024-06-19T19:20:39.833687Z" + "iopub.execute_input": "2024-06-25T15:06:48.353576Z", + "iopub.status.busy": "2024-06-25T15:06:48.353144Z", + "iopub.status.idle": "2024-06-25T15:06:48.356009Z", + "shell.execute_reply": "2024-06-25T15:06:48.355516Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.836224Z", - "iopub.status.busy": "2024-06-19T19:20:39.835895Z", - "iopub.status.idle": "2024-06-19T19:20:39.861835Z", - "shell.execute_reply": "2024-06-19T19:20:39.861261Z" + "iopub.execute_input": "2024-06-25T15:06:48.358153Z", + "iopub.status.busy": "2024-06-25T15:06:48.357768Z", + "iopub.status.idle": "2024-06-25T15:06:48.384527Z", + "shell.execute_reply": "2024-06-25T15:06:48.383935Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "065286a74e154e239323d7d6e8bd5aa1", + "model_id": "5e032993778040f9ad18b79b64feb24b", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38a86ba6b1f545fda4e24ffabf187487", + "model_id": "9218cc3eea7a4d8b904a7cd4bd943053", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.866602Z", - "iopub.status.busy": "2024-06-19T19:20:39.866304Z", - "iopub.status.idle": "2024-06-19T19:20:39.872843Z", - "shell.execute_reply": "2024-06-19T19:20:39.872361Z" + "iopub.execute_input": "2024-06-25T15:06:48.388922Z", + "iopub.status.busy": "2024-06-25T15:06:48.388562Z", + "iopub.status.idle": "2024-06-25T15:06:48.395503Z", + "shell.execute_reply": "2024-06-25T15:06:48.395071Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.874911Z", - "iopub.status.busy": "2024-06-19T19:20:39.874583Z", - "iopub.status.idle": "2024-06-19T19:20:39.878063Z", - "shell.execute_reply": "2024-06-19T19:20:39.877529Z" + "iopub.execute_input": "2024-06-25T15:06:48.397514Z", + "iopub.status.busy": "2024-06-25T15:06:48.397197Z", + "iopub.status.idle": "2024-06-25T15:06:48.400710Z", + "shell.execute_reply": "2024-06-25T15:06:48.400164Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.880046Z", - "iopub.status.busy": "2024-06-19T19:20:39.879744Z", - "iopub.status.idle": "2024-06-19T19:20:39.886042Z", - "shell.execute_reply": "2024-06-19T19:20:39.885587Z" + "iopub.execute_input": "2024-06-25T15:06:48.402718Z", + "iopub.status.busy": "2024-06-25T15:06:48.402392Z", + "iopub.status.idle": "2024-06-25T15:06:48.408634Z", + "shell.execute_reply": "2024-06-25T15:06:48.408184Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.887853Z", - "iopub.status.busy": "2024-06-19T19:20:39.887649Z", - "iopub.status.idle": "2024-06-19T19:20:39.925739Z", - "shell.execute_reply": "2024-06-19T19:20:39.925134Z" + "iopub.execute_input": "2024-06-25T15:06:48.410673Z", + "iopub.status.busy": "2024-06-25T15:06:48.410242Z", + "iopub.status.idle": "2024-06-25T15:06:48.452692Z", + "shell.execute_reply": "2024-06-25T15:06:48.452072Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.928431Z", - "iopub.status.busy": "2024-06-19T19:20:39.927979Z", - "iopub.status.idle": "2024-06-19T19:20:39.963990Z", - "shell.execute_reply": "2024-06-19T19:20:39.963389Z" + "iopub.execute_input": "2024-06-25T15:06:48.455295Z", + "iopub.status.busy": "2024-06-25T15:06:48.454984Z", + "iopub.status.idle": "2024-06-25T15:06:48.496629Z", + "shell.execute_reply": "2024-06-25T15:06:48.495955Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.966921Z", - "iopub.status.busy": "2024-06-19T19:20:39.966463Z", - "iopub.status.idle": "2024-06-19T19:20:40.093718Z", - "shell.execute_reply": "2024-06-19T19:20:40.093116Z" + "iopub.execute_input": "2024-06-25T15:06:48.499666Z", + "iopub.status.busy": "2024-06-25T15:06:48.499200Z", + "iopub.status.idle": "2024-06-25T15:06:48.626995Z", + "shell.execute_reply": "2024-06-25T15:06:48.626413Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:40.096444Z", - "iopub.status.busy": "2024-06-19T19:20:40.095877Z", - "iopub.status.idle": "2024-06-19T19:20:43.198768Z", - "shell.execute_reply": "2024-06-19T19:20:43.198152Z" + "iopub.execute_input": "2024-06-25T15:06:48.629793Z", + "iopub.status.busy": "2024-06-25T15:06:48.629137Z", + "iopub.status.idle": "2024-06-25T15:06:51.676502Z", + "shell.execute_reply": "2024-06-25T15:06:51.675817Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.201399Z", - "iopub.status.busy": "2024-06-19T19:20:43.200946Z", - "iopub.status.idle": "2024-06-19T19:20:43.265651Z", - "shell.execute_reply": "2024-06-19T19:20:43.265091Z" + "iopub.execute_input": "2024-06-25T15:06:51.679482Z", + "iopub.status.busy": "2024-06-25T15:06:51.678959Z", + "iopub.status.idle": "2024-06-25T15:06:51.739238Z", + "shell.execute_reply": "2024-06-25T15:06:51.738647Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.267919Z", - "iopub.status.busy": "2024-06-19T19:20:43.267572Z", - "iopub.status.idle": "2024-06-19T19:20:43.309659Z", - "shell.execute_reply": "2024-06-19T19:20:43.309121Z" + "iopub.execute_input": "2024-06-25T15:06:51.741437Z", + "iopub.status.busy": "2024-06-25T15:06:51.741240Z", + "iopub.status.idle": "2024-06-25T15:06:51.782843Z", + "shell.execute_reply": "2024-06-25T15:06:51.782290Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "fbacef5a", + "id": "d52f5db0", "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": "f6481b70", + "id": "6bf6b75a", "metadata": {}, "source": [ "The instructions for specifying pre-computed data slices/clusters when detecting underperforming groups in a dataset are now covered in detail in the Datalab workflows tutorial.\n", @@ -1338,7 +1338,7 @@ }, { "cell_type": "markdown", - "id": "9735d2e7", + "id": "c3402fd6", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by Datalab?\n", @@ -1349,13 +1349,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "a68e9114", + "id": "311ad9c3", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.312214Z", - "iopub.status.busy": "2024-06-19T19:20:43.311753Z", - "iopub.status.idle": "2024-06-19T19:20:43.319623Z", - "shell.execute_reply": "2024-06-19T19:20:43.319049Z" + "iopub.execute_input": "2024-06-25T15:06:51.785201Z", + "iopub.status.busy": "2024-06-25T15:06:51.785000Z", + "iopub.status.idle": "2024-06-25T15:06:51.793009Z", + "shell.execute_reply": "2024-06-25T15:06:51.792520Z" } }, "outputs": [], @@ -1457,7 +1457,7 @@ }, { "cell_type": "markdown", - "id": "cfc6c771", + "id": "4b7ae88d", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1472,13 +1472,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "eef8ea41", + "id": "214c1a87", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.321962Z", - "iopub.status.busy": "2024-06-19T19:20:43.321591Z", - "iopub.status.idle": "2024-06-19T19:20:43.341421Z", - "shell.execute_reply": "2024-06-19T19:20:43.340818Z" + "iopub.execute_input": "2024-06-25T15:06:51.794999Z", + "iopub.status.busy": "2024-06-25T15:06:51.794816Z", + "iopub.status.idle": "2024-06-25T15:06:51.815495Z", + "shell.execute_reply": "2024-06-25T15:06:51.814899Z" } }, "outputs": [ @@ -1495,7 +1495,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_8136/1995098996.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_7631/1995098996.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" ] } @@ -1529,13 +1529,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "7aa927b6", + "id": "a552d436", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.343688Z", - "iopub.status.busy": "2024-06-19T19:20:43.343287Z", - "iopub.status.idle": "2024-06-19T19:20:43.346791Z", - "shell.execute_reply": "2024-06-19T19:20:43.346258Z" + "iopub.execute_input": "2024-06-25T15:06:51.817589Z", + "iopub.status.busy": "2024-06-25T15:06:51.817394Z", + "iopub.status.idle": "2024-06-25T15:06:51.820759Z", + "shell.execute_reply": "2024-06-25T15:06:51.820237Z" } }, "outputs": [ @@ -1630,7 +1630,25 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0379a9a769b74f918f3cb1e7535b74c2": { + "021d7d409a774a92955e7e4fbdd2f000": { + "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 + } + }, + "0bcbd8793ddd4cdeb051f08ed04b9385": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1683,31 +1701,7 @@ "width": null } }, - 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"d363deb807ec434b86aafe7f186a05e9": { + "f8efbbca228241fda08fe59ab07dca2e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -2281,23 +2297,7 @@ "width": null } }, - "dad66d436eff42b5ad844b3b73be2827": { - "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": "" - } - }, - "f23484c0a94b4113adb47bbc627da1e4": { + "fc14769eac6641d49b287ee0e3abac63": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index dd5f94ccc..441bd069e 100644 --- a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:46.679639Z", - "iopub.status.busy": "2024-06-19T19:20:46.679461Z", - "iopub.status.idle": "2024-06-19T19:20:47.903917Z", - "shell.execute_reply": "2024-06-19T19:20:47.903271Z" + "iopub.execute_input": "2024-06-25T15:06:56.198338Z", + "iopub.status.busy": "2024-06-25T15:06:56.198154Z", + "iopub.status.idle": "2024-06-25T15:06:57.416276Z", + "shell.execute_reply": "2024-06-25T15:06:57.415743Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:20:47.906691Z", - "iopub.status.busy": "2024-06-19T19:20:47.906382Z", - "iopub.status.idle": "2024-06-19T19:20:48.091307Z", - "shell.execute_reply": "2024-06-19T19:20:48.090799Z" + "iopub.execute_input": "2024-06-25T15:06:57.418992Z", + "iopub.status.busy": "2024-06-25T15:06:57.418469Z", + "iopub.status.idle": "2024-06-25T15:06:57.603628Z", + "shell.execute_reply": "2024-06-25T15:06:57.602960Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:48.093933Z", - "iopub.status.busy": "2024-06-19T19:20:48.093572Z", - "iopub.status.idle": "2024-06-19T19:20:48.105342Z", - "shell.execute_reply": "2024-06-19T19:20:48.104742Z" + "iopub.execute_input": "2024-06-25T15:06:57.606530Z", + "iopub.status.busy": "2024-06-25T15:06:57.606182Z", + "iopub.status.idle": "2024-06-25T15:06:57.618153Z", + "shell.execute_reply": "2024-06-25T15:06:57.617552Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:48.107427Z", - "iopub.status.busy": "2024-06-19T19:20:48.107207Z", - "iopub.status.idle": "2024-06-19T19:20:48.351270Z", - "shell.execute_reply": "2024-06-19T19:20:48.350688Z" + "iopub.execute_input": "2024-06-25T15:06:57.620362Z", + "iopub.status.busy": "2024-06-25T15:06:57.620050Z", + "iopub.status.idle": "2024-06-25T15:06:57.856822Z", + "shell.execute_reply": "2024-06-25T15:06:57.856247Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:48.353499Z", - "iopub.status.busy": "2024-06-19T19:20:48.353267Z", - "iopub.status.idle": "2024-06-19T19:20:48.380085Z", - "shell.execute_reply": "2024-06-19T19:20:48.379406Z" + "iopub.execute_input": "2024-06-25T15:06:57.859296Z", + "iopub.status.busy": "2024-06-25T15:06:57.858883Z", + "iopub.status.idle": "2024-06-25T15:06:57.885163Z", + "shell.execute_reply": "2024-06-25T15:06:57.884717Z" } }, "outputs": [], @@ -428,10 +428,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:48.383088Z", - "iopub.status.busy": "2024-06-19T19:20:48.382588Z", - "iopub.status.idle": "2024-06-19T19:20:50.542210Z", - "shell.execute_reply": "2024-06-19T19:20:50.541508Z" + "iopub.execute_input": "2024-06-25T15:06:57.887331Z", + "iopub.status.busy": "2024-06-25T15:06:57.886988Z", + "iopub.status.idle": "2024-06-25T15:07:00.010464Z", + "shell.execute_reply": "2024-06-25T15:07:00.009745Z" } }, "outputs": [ @@ -448,7 +448,6 @@ "output_type": "stream", "text": [ "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n", "Finding near_duplicate issues ...\n", "Finding non_iid issues ...\n", "Finding class_imbalance issues ...\n", @@ -483,10 +482,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:50.544692Z", - "iopub.status.busy": "2024-06-19T19:20:50.544286Z", - "iopub.status.idle": "2024-06-19T19:20:50.562826Z", - "shell.execute_reply": "2024-06-19T19:20:50.562355Z" + "iopub.execute_input": "2024-06-25T15:07:00.013198Z", + "iopub.status.busy": "2024-06-25T15:07:00.012556Z", + "iopub.status.idle": "2024-06-25T15:07:00.031025Z", + "shell.execute_reply": "2024-06-25T15:07:00.030516Z" }, "scrolled": true }, @@ -616,10 +615,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:50.564933Z", - "iopub.status.busy": "2024-06-19T19:20:50.564649Z", - "iopub.status.idle": "2024-06-19T19:20:52.059433Z", - "shell.execute_reply": "2024-06-19T19:20:52.058785Z" + "iopub.execute_input": "2024-06-25T15:07:00.033254Z", + "iopub.status.busy": "2024-06-25T15:07:00.032893Z", + "iopub.status.idle": "2024-06-25T15:07:01.534909Z", + "shell.execute_reply": "2024-06-25T15:07:01.534300Z" }, "id": "AaHC5MRKjruT" }, @@ -738,10 +737,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.062065Z", - "iopub.status.busy": "2024-06-19T19:20:52.061422Z", - "iopub.status.idle": "2024-06-19T19:20:52.075172Z", - "shell.execute_reply": "2024-06-19T19:20:52.074613Z" + "iopub.execute_input": "2024-06-25T15:07:01.537933Z", + "iopub.status.busy": "2024-06-25T15:07:01.537031Z", + "iopub.status.idle": "2024-06-25T15:07:01.551935Z", + "shell.execute_reply": "2024-06-25T15:07:01.551303Z" }, "id": "Wy27rvyhjruU" }, @@ -790,10 +789,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.077626Z", - "iopub.status.busy": "2024-06-19T19:20:52.077214Z", - "iopub.status.idle": "2024-06-19T19:20:52.157318Z", - "shell.execute_reply": "2024-06-19T19:20:52.156769Z" + "iopub.execute_input": "2024-06-25T15:07:01.554622Z", + "iopub.status.busy": "2024-06-25T15:07:01.554067Z", + "iopub.status.idle": "2024-06-25T15:07:01.631257Z", + "shell.execute_reply": "2024-06-25T15:07:01.630631Z" }, "id": "Db8YHnyVjruU" }, @@ -900,10 +899,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.159728Z", - "iopub.status.busy": "2024-06-19T19:20:52.159472Z", - "iopub.status.idle": "2024-06-19T19:20:52.373426Z", - "shell.execute_reply": "2024-06-19T19:20:52.372850Z" + "iopub.execute_input": "2024-06-25T15:07:01.633752Z", + "iopub.status.busy": "2024-06-25T15:07:01.633260Z", + "iopub.status.idle": "2024-06-25T15:07:01.847350Z", + "shell.execute_reply": "2024-06-25T15:07:01.846755Z" }, "id": "iJqAHuS2jruV" }, @@ -940,10 +939,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.375832Z", - "iopub.status.busy": "2024-06-19T19:20:52.375463Z", - "iopub.status.idle": "2024-06-19T19:20:52.392379Z", - "shell.execute_reply": "2024-06-19T19:20:52.391877Z" + "iopub.execute_input": "2024-06-25T15:07:01.849570Z", + "iopub.status.busy": "2024-06-25T15:07:01.849219Z", + "iopub.status.idle": "2024-06-25T15:07:01.865860Z", + "shell.execute_reply": "2024-06-25T15:07:01.865431Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1409,10 +1408,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.394713Z", - "iopub.status.busy": "2024-06-19T19:20:52.394306Z", - "iopub.status.idle": "2024-06-19T19:20:52.404781Z", - "shell.execute_reply": "2024-06-19T19:20:52.404195Z" + "iopub.execute_input": "2024-06-25T15:07:01.868012Z", + "iopub.status.busy": "2024-06-25T15:07:01.867662Z", + "iopub.status.idle": "2024-06-25T15:07:01.877379Z", + "shell.execute_reply": "2024-06-25T15:07:01.876934Z" }, "id": "0lonvOYvjruV" }, @@ -1559,10 +1558,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.407003Z", - "iopub.status.busy": "2024-06-19T19:20:52.406578Z", - "iopub.status.idle": "2024-06-19T19:20:52.496137Z", - "shell.execute_reply": "2024-06-19T19:20:52.495451Z" + "iopub.execute_input": "2024-06-25T15:07:01.879436Z", + "iopub.status.busy": "2024-06-25T15:07:01.879105Z", + "iopub.status.idle": "2024-06-25T15:07:01.965751Z", + "shell.execute_reply": "2024-06-25T15:07:01.965154Z" }, "id": "MfqTCa3kjruV" }, @@ -1643,10 +1642,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.498540Z", - "iopub.status.busy": "2024-06-19T19:20:52.498290Z", - "iopub.status.idle": "2024-06-19T19:20:52.636664Z", - "shell.execute_reply": "2024-06-19T19:20:52.636002Z" + "iopub.execute_input": "2024-06-25T15:07:01.968199Z", + "iopub.status.busy": "2024-06-25T15:07:01.967997Z", + "iopub.status.idle": "2024-06-25T15:07:02.099956Z", + "shell.execute_reply": "2024-06-25T15:07:02.099291Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1706,10 +1705,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.639186Z", - "iopub.status.busy": "2024-06-19T19:20:52.638681Z", - "iopub.status.idle": "2024-06-19T19:20:52.642571Z", - "shell.execute_reply": "2024-06-19T19:20:52.642046Z" + "iopub.execute_input": "2024-06-25T15:07:02.102583Z", + "iopub.status.busy": "2024-06-25T15:07:02.102121Z", + "iopub.status.idle": "2024-06-25T15:07:02.106255Z", + "shell.execute_reply": "2024-06-25T15:07:02.105793Z" }, "id": "0rXP3ZPWjruW" }, @@ -1747,10 +1746,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.644692Z", - "iopub.status.busy": "2024-06-19T19:20:52.644298Z", - "iopub.status.idle": "2024-06-19T19:20:52.647876Z", - "shell.execute_reply": "2024-06-19T19:20:52.647357Z" + "iopub.execute_input": "2024-06-25T15:07:02.108453Z", + "iopub.status.busy": "2024-06-25T15:07:02.108023Z", + "iopub.status.idle": "2024-06-25T15:07:02.112070Z", + "shell.execute_reply": "2024-06-25T15:07:02.111504Z" }, "id": "-iRPe8KXjruW" }, @@ -1805,10 +1804,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.649873Z", - "iopub.status.busy": "2024-06-19T19:20:52.649697Z", - "iopub.status.idle": "2024-06-19T19:20:52.686051Z", - "shell.execute_reply": "2024-06-19T19:20:52.685604Z" + "iopub.execute_input": "2024-06-25T15:07:02.114167Z", + "iopub.status.busy": "2024-06-25T15:07:02.113833Z", + "iopub.status.idle": "2024-06-25T15:07:02.150987Z", + "shell.execute_reply": "2024-06-25T15:07:02.150479Z" }, "id": "ZpipUliyjruW" }, @@ -1859,10 +1858,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.688070Z", - "iopub.status.busy": "2024-06-19T19:20:52.687878Z", - "iopub.status.idle": "2024-06-19T19:20:52.729480Z", - "shell.execute_reply": "2024-06-19T19:20:52.728913Z" + "iopub.execute_input": "2024-06-25T15:07:02.153026Z", + "iopub.status.busy": "2024-06-25T15:07:02.152845Z", + "iopub.status.idle": "2024-06-25T15:07:02.194285Z", + "shell.execute_reply": "2024-06-25T15:07:02.193809Z" }, "id": "SLq-3q4xjruX" }, @@ -1931,10 +1930,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.731679Z", - "iopub.status.busy": "2024-06-19T19:20:52.731478Z", - "iopub.status.idle": "2024-06-19T19:20:52.830866Z", - "shell.execute_reply": "2024-06-19T19:20:52.830267Z" + "iopub.execute_input": "2024-06-25T15:07:02.196262Z", + "iopub.status.busy": "2024-06-25T15:07:02.196081Z", + "iopub.status.idle": "2024-06-25T15:07:02.289276Z", + "shell.execute_reply": "2024-06-25T15:07:02.288673Z" }, "id": "g5LHhhuqFbXK" }, @@ -1966,10 +1965,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.833551Z", - "iopub.status.busy": "2024-06-19T19:20:52.833309Z", - "iopub.status.idle": "2024-06-19T19:20:52.930238Z", - "shell.execute_reply": "2024-06-19T19:20:52.929667Z" + "iopub.execute_input": "2024-06-25T15:07:02.291780Z", + "iopub.status.busy": "2024-06-25T15:07:02.291578Z", + "iopub.status.idle": "2024-06-25T15:07:02.390445Z", + "shell.execute_reply": "2024-06-25T15:07:02.389792Z" }, "id": "p7w8F8ezBcet" }, @@ -2026,10 +2025,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:52.932747Z", - "iopub.status.busy": "2024-06-19T19:20:52.932357Z", - "iopub.status.idle": "2024-06-19T19:20:53.145057Z", - "shell.execute_reply": "2024-06-19T19:20:53.144389Z" + "iopub.execute_input": "2024-06-25T15:07:02.392985Z", + "iopub.status.busy": "2024-06-25T15:07:02.392768Z", + "iopub.status.idle": "2024-06-25T15:07:02.605867Z", + "shell.execute_reply": "2024-06-25T15:07:02.605297Z" }, "id": "WETRL74tE_sU" }, @@ -2064,10 +2063,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:53.147632Z", - "iopub.status.busy": "2024-06-19T19:20:53.147255Z", - "iopub.status.idle": "2024-06-19T19:20:53.345125Z", - "shell.execute_reply": "2024-06-19T19:20:53.344471Z" + "iopub.execute_input": "2024-06-25T15:07:02.608214Z", + "iopub.status.busy": "2024-06-25T15:07:02.607882Z", + "iopub.status.idle": "2024-06-25T15:07:02.806615Z", + "shell.execute_reply": "2024-06-25T15:07:02.806024Z" }, "id": "kCfdx2gOLmXS" }, @@ -2229,10 +2228,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:53.347652Z", - "iopub.status.busy": "2024-06-19T19:20:53.347263Z", - "iopub.status.idle": "2024-06-19T19:20:53.353721Z", - "shell.execute_reply": "2024-06-19T19:20:53.353256Z" + "iopub.execute_input": "2024-06-25T15:07:02.809107Z", + "iopub.status.busy": "2024-06-25T15:07:02.808734Z", + "iopub.status.idle": "2024-06-25T15:07:02.815104Z", + "shell.execute_reply": "2024-06-25T15:07:02.814537Z" }, "id": "-uogYRWFYnuu" }, @@ -2286,10 +2285,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:53.355834Z", - "iopub.status.busy": "2024-06-19T19:20:53.355420Z", - "iopub.status.idle": "2024-06-19T19:20:53.570921Z", - "shell.execute_reply": "2024-06-19T19:20:53.570326Z" + "iopub.execute_input": "2024-06-25T15:07:02.817178Z", + "iopub.status.busy": "2024-06-25T15:07:02.816775Z", + "iopub.status.idle": "2024-06-25T15:07:03.034521Z", + "shell.execute_reply": "2024-06-25T15:07:03.033876Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2336,10 +2335,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:53.573411Z", - "iopub.status.busy": "2024-06-19T19:20:53.573035Z", - "iopub.status.idle": "2024-06-19T19:20:54.634984Z", - "shell.execute_reply": "2024-06-19T19:20:54.634337Z" + "iopub.execute_input": "2024-06-25T15:07:03.036917Z", + "iopub.status.busy": "2024-06-25T15:07:03.036498Z", + "iopub.status.idle": "2024-06-25T15:07:04.125059Z", + "shell.execute_reply": "2024-06-25T15:07:04.124546Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index 2e5b4a134..f9ba2d011 100644 --- a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb @@ -88,10 +88,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:59.336949Z", - "iopub.status.busy": "2024-06-19T19:20:59.336772Z", - "iopub.status.idle": "2024-06-19T19:21:00.470631Z", - "shell.execute_reply": "2024-06-19T19:21:00.470086Z" + "iopub.execute_input": "2024-06-25T15:07:08.642587Z", + "iopub.status.busy": "2024-06-25T15:07:08.642145Z", + "iopub.status.idle": "2024-06-25T15:07:09.804900Z", + "shell.execute_reply": "2024-06-25T15:07:09.804347Z" }, "nbsphinx": "hidden" }, @@ -101,7 +101,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.473161Z", - "iopub.status.busy": "2024-06-19T19:21:00.472784Z", - "iopub.status.idle": "2024-06-19T19:21:00.475825Z", - "shell.execute_reply": "2024-06-19T19:21:00.475398Z" + "iopub.execute_input": "2024-06-25T15:07:09.807562Z", + "iopub.status.busy": "2024-06-25T15:07:09.807255Z", + "iopub.status.idle": "2024-06-25T15:07:09.810441Z", + "shell.execute_reply": "2024-06-25T15:07:09.810012Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.477909Z", - "iopub.status.busy": "2024-06-19T19:21:00.477652Z", - "iopub.status.idle": "2024-06-19T19:21:00.486153Z", - "shell.execute_reply": "2024-06-19T19:21:00.485631Z" + "iopub.execute_input": "2024-06-25T15:07:09.812616Z", + "iopub.status.busy": "2024-06-25T15:07:09.812351Z", + "iopub.status.idle": "2024-06-25T15:07:09.821532Z", + "shell.execute_reply": "2024-06-25T15:07:09.821044Z" }, "nbsphinx": "hidden" }, @@ -350,10 +350,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.488190Z", - "iopub.status.busy": "2024-06-19T19:21:00.487795Z", - "iopub.status.idle": "2024-06-19T19:21:00.536783Z", - "shell.execute_reply": "2024-06-19T19:21:00.536204Z" + "iopub.execute_input": "2024-06-25T15:07:09.823610Z", + "iopub.status.busy": "2024-06-25T15:07:09.823271Z", + "iopub.status.idle": "2024-06-25T15:07:09.871190Z", + "shell.execute_reply": "2024-06-25T15:07:09.870640Z" } }, "outputs": [], @@ -379,10 +379,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.539343Z", - "iopub.status.busy": "2024-06-19T19:21:00.538971Z", - "iopub.status.idle": "2024-06-19T19:21:00.556529Z", - "shell.execute_reply": "2024-06-19T19:21:00.555903Z" + "iopub.execute_input": "2024-06-25T15:07:09.873837Z", + "iopub.status.busy": "2024-06-25T15:07:09.873483Z", + "iopub.status.idle": "2024-06-25T15:07:09.890855Z", + "shell.execute_reply": "2024-06-25T15:07:09.890366Z" } }, "outputs": [ @@ -597,10 +597,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.558864Z", - "iopub.status.busy": "2024-06-19T19:21:00.558424Z", - "iopub.status.idle": "2024-06-19T19:21:00.562638Z", - "shell.execute_reply": "2024-06-19T19:21:00.562088Z" + "iopub.execute_input": "2024-06-25T15:07:09.893179Z", + "iopub.status.busy": "2024-06-25T15:07:09.892813Z", + "iopub.status.idle": "2024-06-25T15:07:09.896981Z", + "shell.execute_reply": "2024-06-25T15:07:09.896525Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.564645Z", - "iopub.status.busy": "2024-06-19T19:21:00.564470Z", - "iopub.status.idle": "2024-06-19T19:21:00.581641Z", - "shell.execute_reply": "2024-06-19T19:21:00.581040Z" + "iopub.execute_input": "2024-06-25T15:07:09.899090Z", + "iopub.status.busy": "2024-06-25T15:07:09.898808Z", + "iopub.status.idle": "2024-06-25T15:07:09.914548Z", + "shell.execute_reply": "2024-06-25T15:07:09.914081Z" } }, "outputs": [], @@ -698,10 +698,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.583888Z", - "iopub.status.busy": "2024-06-19T19:21:00.583668Z", - "iopub.status.idle": "2024-06-19T19:21:00.610755Z", - "shell.execute_reply": "2024-06-19T19:21:00.610129Z" + "iopub.execute_input": "2024-06-25T15:07:09.916754Z", + "iopub.status.busy": "2024-06-25T15:07:09.916393Z", + "iopub.status.idle": "2024-06-25T15:07:09.943780Z", + "shell.execute_reply": "2024-06-25T15:07:09.943129Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:00.613262Z", - "iopub.status.busy": "2024-06-19T19:21:00.612832Z", - "iopub.status.idle": "2024-06-19T19:21:02.591236Z", - "shell.execute_reply": "2024-06-19T19:21:02.590564Z" + "iopub.execute_input": "2024-06-25T15:07:09.946554Z", + "iopub.status.busy": "2024-06-25T15:07:09.946130Z", + "iopub.status.idle": "2024-06-25T15:07:12.015752Z", + "shell.execute_reply": "2024-06-25T15:07:12.015070Z" } }, "outputs": [], @@ -771,10 +771,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.594039Z", - "iopub.status.busy": "2024-06-19T19:21:02.593538Z", - "iopub.status.idle": "2024-06-19T19:21:02.600572Z", - "shell.execute_reply": "2024-06-19T19:21:02.600147Z" + "iopub.execute_input": "2024-06-25T15:07:12.018816Z", + "iopub.status.busy": "2024-06-25T15:07:12.018085Z", + "iopub.status.idle": "2024-06-25T15:07:12.025314Z", + "shell.execute_reply": "2024-06-25T15:07:12.024826Z" }, "scrolled": true }, @@ -885,10 +885,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.602723Z", - "iopub.status.busy": "2024-06-19T19:21:02.602312Z", - "iopub.status.idle": "2024-06-19T19:21:02.615162Z", - "shell.execute_reply": "2024-06-19T19:21:02.614591Z" + "iopub.execute_input": "2024-06-25T15:07:12.027513Z", + "iopub.status.busy": "2024-06-25T15:07:12.027097Z", + "iopub.status.idle": "2024-06-25T15:07:12.039771Z", + "shell.execute_reply": "2024-06-25T15:07:12.039321Z" } }, "outputs": [ @@ -1138,10 +1138,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.617398Z", - "iopub.status.busy": "2024-06-19T19:21:02.616994Z", - "iopub.status.idle": "2024-06-19T19:21:02.623696Z", - "shell.execute_reply": "2024-06-19T19:21:02.623160Z" + "iopub.execute_input": "2024-06-25T15:07:12.041671Z", + "iopub.status.busy": "2024-06-25T15:07:12.041494Z", + "iopub.status.idle": "2024-06-25T15:07:12.047820Z", + "shell.execute_reply": "2024-06-25T15:07:12.047373Z" }, "scrolled": true }, @@ -1315,10 +1315,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.625861Z", - "iopub.status.busy": "2024-06-19T19:21:02.625469Z", - "iopub.status.idle": "2024-06-19T19:21:02.628298Z", - "shell.execute_reply": "2024-06-19T19:21:02.627730Z" + "iopub.execute_input": "2024-06-25T15:07:12.049931Z", + "iopub.status.busy": "2024-06-25T15:07:12.049605Z", + "iopub.status.idle": "2024-06-25T15:07:12.052339Z", + "shell.execute_reply": "2024-06-25T15:07:12.051879Z" } }, "outputs": [], @@ -1340,10 +1340,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.630244Z", - "iopub.status.busy": "2024-06-19T19:21:02.629950Z", - "iopub.status.idle": "2024-06-19T19:21:02.633518Z", - "shell.execute_reply": "2024-06-19T19:21:02.632968Z" + "iopub.execute_input": "2024-06-25T15:07:12.054385Z", + "iopub.status.busy": "2024-06-25T15:07:12.054076Z", + "iopub.status.idle": "2024-06-25T15:07:12.057808Z", + "shell.execute_reply": "2024-06-25T15:07:12.057370Z" }, "scrolled": true }, @@ -1395,10 +1395,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.635555Z", - "iopub.status.busy": "2024-06-19T19:21:02.635256Z", - "iopub.status.idle": "2024-06-19T19:21:02.637937Z", - "shell.execute_reply": "2024-06-19T19:21:02.637400Z" + "iopub.execute_input": "2024-06-25T15:07:12.059892Z", + "iopub.status.busy": "2024-06-25T15:07:12.059558Z", + "iopub.status.idle": "2024-06-25T15:07:12.062215Z", + "shell.execute_reply": "2024-06-25T15:07:12.061776Z" } }, "outputs": [], @@ -1422,10 +1422,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.639918Z", - "iopub.status.busy": "2024-06-19T19:21:02.639597Z", - "iopub.status.idle": "2024-06-19T19:21:02.643581Z", - "shell.execute_reply": "2024-06-19T19:21:02.643061Z" + "iopub.execute_input": "2024-06-25T15:07:12.064364Z", + "iopub.status.busy": "2024-06-25T15:07:12.063845Z", + "iopub.status.idle": "2024-06-25T15:07:12.068175Z", + "shell.execute_reply": "2024-06-25T15:07:12.067646Z" } }, "outputs": [ @@ -1480,10 +1480,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.645553Z", - "iopub.status.busy": "2024-06-19T19:21:02.645382Z", - "iopub.status.idle": "2024-06-19T19:21:02.673934Z", - "shell.execute_reply": "2024-06-19T19:21:02.673475Z" + "iopub.execute_input": "2024-06-25T15:07:12.070450Z", + "iopub.status.busy": "2024-06-25T15:07:12.069967Z", + "iopub.status.idle": "2024-06-25T15:07:12.099724Z", + "shell.execute_reply": "2024-06-25T15:07:12.099117Z" } }, "outputs": [], @@ -1526,10 +1526,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:02.676241Z", - "iopub.status.busy": "2024-06-19T19:21:02.675895Z", - "iopub.status.idle": "2024-06-19T19:21:02.680515Z", - "shell.execute_reply": "2024-06-19T19:21:02.680077Z" + "iopub.execute_input": "2024-06-25T15:07:12.102455Z", + "iopub.status.busy": "2024-06-25T15:07:12.101990Z", + "iopub.status.idle": "2024-06-25T15:07:12.106803Z", + "shell.execute_reply": "2024-06-25T15:07:12.106372Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index 1e5cdb7bb..2a385a800 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": "2024-06-19T19:21:05.737763Z", - "iopub.status.busy": "2024-06-19T19:21:05.737604Z", - "iopub.status.idle": "2024-06-19T19:21:06.921266Z", - "shell.execute_reply": "2024-06-19T19:21:06.920724Z" + "iopub.execute_input": "2024-06-25T15:07:15.161294Z", + "iopub.status.busy": "2024-06-25T15:07:15.160843Z", + "iopub.status.idle": "2024-06-25T15:07:16.396109Z", + "shell.execute_reply": "2024-06-25T15:07:16.395526Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:21:06.923658Z", - "iopub.status.busy": "2024-06-19T19:21:06.923392Z", - "iopub.status.idle": "2024-06-19T19:21:07.116623Z", - "shell.execute_reply": "2024-06-19T19:21:07.116062Z" + "iopub.execute_input": "2024-06-25T15:07:16.398556Z", + "iopub.status.busy": "2024-06-25T15:07:16.398262Z", + "iopub.status.idle": "2024-06-25T15:07:16.602007Z", + "shell.execute_reply": "2024-06-25T15:07:16.601352Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:07.119614Z", - "iopub.status.busy": "2024-06-19T19:21:07.119001Z", - "iopub.status.idle": "2024-06-19T19:21:07.132530Z", - "shell.execute_reply": "2024-06-19T19:21:07.132058Z" + "iopub.execute_input": "2024-06-25T15:07:16.605365Z", + "iopub.status.busy": "2024-06-25T15:07:16.604792Z", + "iopub.status.idle": "2024-06-25T15:07:16.619883Z", + "shell.execute_reply": "2024-06-25T15:07:16.619218Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:07.134699Z", - "iopub.status.busy": "2024-06-19T19:21:07.134293Z", - "iopub.status.idle": "2024-06-19T19:21:09.784859Z", - "shell.execute_reply": "2024-06-19T19:21:09.784285Z" + "iopub.execute_input": "2024-06-25T15:07:16.622507Z", + "iopub.status.busy": "2024-06-25T15:07:16.622050Z", + "iopub.status.idle": "2024-06-25T15:07:19.331683Z", + "shell.execute_reply": "2024-06-25T15:07:19.331043Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:09.787043Z", - "iopub.status.busy": "2024-06-19T19:21:09.786819Z", - "iopub.status.idle": "2024-06-19T19:21:11.133504Z", - "shell.execute_reply": "2024-06-19T19:21:11.132922Z" + "iopub.execute_input": "2024-06-25T15:07:19.334095Z", + "iopub.status.busy": "2024-06-25T15:07:19.333632Z", + "iopub.status.idle": "2024-06-25T15:07:20.695098Z", + "shell.execute_reply": "2024-06-25T15:07:20.694431Z" } }, "outputs": [], @@ -499,10 +499,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:11.136124Z", - "iopub.status.busy": "2024-06-19T19:21:11.135706Z", - "iopub.status.idle": "2024-06-19T19:21:11.139851Z", - "shell.execute_reply": "2024-06-19T19:21:11.139326Z" + "iopub.execute_input": "2024-06-25T15:07:20.698027Z", + "iopub.status.busy": "2024-06-25T15:07:20.697606Z", + "iopub.status.idle": "2024-06-25T15:07:20.702061Z", + "shell.execute_reply": "2024-06-25T15:07:20.701485Z" } }, "outputs": [ @@ -544,10 +544,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:11.142237Z", - "iopub.status.busy": "2024-06-19T19:21:11.141904Z", - "iopub.status.idle": "2024-06-19T19:21:13.214775Z", - "shell.execute_reply": "2024-06-19T19:21:13.214170Z" + "iopub.execute_input": "2024-06-25T15:07:20.704302Z", + "iopub.status.busy": "2024-06-25T15:07:20.703863Z", + "iopub.status.idle": "2024-06-25T15:07:22.821137Z", + "shell.execute_reply": "2024-06-25T15:07:22.820487Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:13.217170Z", - "iopub.status.busy": "2024-06-19T19:21:13.216746Z", - "iopub.status.idle": "2024-06-19T19:21:13.224579Z", - "shell.execute_reply": "2024-06-19T19:21:13.224114Z" + "iopub.execute_input": "2024-06-25T15:07:22.823942Z", + "iopub.status.busy": "2024-06-25T15:07:22.823306Z", + "iopub.status.idle": "2024-06-25T15:07:22.831204Z", + "shell.execute_reply": "2024-06-25T15:07:22.830701Z" } }, "outputs": [ @@ -633,10 +633,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:13.226697Z", - "iopub.status.busy": "2024-06-19T19:21:13.226384Z", - "iopub.status.idle": "2024-06-19T19:21:15.787195Z", - "shell.execute_reply": "2024-06-19T19:21:15.786617Z" + "iopub.execute_input": "2024-06-25T15:07:22.833189Z", + "iopub.status.busy": "2024-06-25T15:07:22.833007Z", + "iopub.status.idle": "2024-06-25T15:07:25.445455Z", + "shell.execute_reply": "2024-06-25T15:07:25.444862Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:15.789496Z", - "iopub.status.busy": "2024-06-19T19:21:15.789157Z", - "iopub.status.idle": "2024-06-19T19:21:15.792457Z", - "shell.execute_reply": "2024-06-19T19:21:15.791904Z" + "iopub.execute_input": "2024-06-25T15:07:25.447720Z", + "iopub.status.busy": "2024-06-25T15:07:25.447380Z", + "iopub.status.idle": "2024-06-25T15:07:25.450904Z", + "shell.execute_reply": "2024-06-25T15:07:25.450365Z" } }, "outputs": [ @@ -721,10 +721,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:15.794547Z", - "iopub.status.busy": "2024-06-19T19:21:15.794236Z", - "iopub.status.idle": "2024-06-19T19:21:15.797504Z", - "shell.execute_reply": "2024-06-19T19:21:15.797081Z" + "iopub.execute_input": "2024-06-25T15:07:25.453112Z", + "iopub.status.busy": "2024-06-25T15:07:25.452698Z", + "iopub.status.idle": "2024-06-25T15:07:25.456299Z", + "shell.execute_reply": "2024-06-25T15:07:25.455766Z" } }, "outputs": [], @@ -752,10 +752,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:15.799473Z", - "iopub.status.busy": "2024-06-19T19:21:15.799147Z", - "iopub.status.idle": "2024-06-19T19:21:15.802700Z", - "shell.execute_reply": "2024-06-19T19:21:15.802286Z" + "iopub.execute_input": "2024-06-25T15:07:25.458515Z", + "iopub.status.busy": "2024-06-25T15:07:25.458117Z", + "iopub.status.idle": "2024-06-25T15:07:25.461348Z", + "shell.execute_reply": "2024-06-25T15:07:25.460806Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index e8b4774c9..e61b30b24 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": "2024-06-19T19:21:18.392691Z", - "iopub.status.busy": "2024-06-19T19:21:18.392530Z", - "iopub.status.idle": "2024-06-19T19:21:19.573191Z", - "shell.execute_reply": "2024-06-19T19:21:19.572638Z" + "iopub.execute_input": "2024-06-25T15:07:28.174424Z", + "iopub.status.busy": "2024-06-25T15:07:28.174247Z", + "iopub.status.idle": "2024-06-25T15:07:29.399224Z", + "shell.execute_reply": "2024-06-25T15:07:29.398721Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:21:19.575713Z", - "iopub.status.busy": "2024-06-19T19:21:19.575427Z", - "iopub.status.idle": "2024-06-19T19:21:20.706011Z", - "shell.execute_reply": "2024-06-19T19:21:20.705227Z" + "iopub.execute_input": "2024-06-25T15:07:29.401978Z", + "iopub.status.busy": "2024-06-25T15:07:29.401413Z", + "iopub.status.idle": "2024-06-25T15:07:30.442022Z", + "shell.execute_reply": "2024-06-25T15:07:30.441314Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:20.708660Z", - "iopub.status.busy": "2024-06-19T19:21:20.708453Z", - "iopub.status.idle": "2024-06-19T19:21:20.711964Z", - "shell.execute_reply": "2024-06-19T19:21:20.711499Z" + "iopub.execute_input": "2024-06-25T15:07:30.444924Z", + "iopub.status.busy": "2024-06-25T15:07:30.444556Z", + "iopub.status.idle": "2024-06-25T15:07:30.448150Z", + "shell.execute_reply": "2024-06-25T15:07:30.447560Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:20.714168Z", - "iopub.status.busy": "2024-06-19T19:21:20.713752Z", - "iopub.status.idle": "2024-06-19T19:21:20.720128Z", - "shell.execute_reply": "2024-06-19T19:21:20.719580Z" + "iopub.execute_input": "2024-06-25T15:07:30.450246Z", + "iopub.status.busy": "2024-06-25T15:07:30.449925Z", + "iopub.status.idle": "2024-06-25T15:07:30.456231Z", + "shell.execute_reply": "2024-06-25T15:07:30.455669Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:20.722330Z", - "iopub.status.busy": "2024-06-19T19:21:20.721998Z", - "iopub.status.idle": "2024-06-19T19:21:21.211440Z", - "shell.execute_reply": "2024-06-19T19:21:21.210858Z" + "iopub.execute_input": "2024-06-25T15:07:30.458485Z", + "iopub.status.busy": "2024-06-25T15:07:30.458066Z", + "iopub.status.idle": "2024-06-25T15:07:30.962904Z", + "shell.execute_reply": "2024-06-25T15:07:30.962275Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:21.214256Z", - "iopub.status.busy": "2024-06-19T19:21:21.213911Z", - "iopub.status.idle": "2024-06-19T19:21:21.219015Z", - "shell.execute_reply": "2024-06-19T19:21:21.218600Z" + "iopub.execute_input": "2024-06-25T15:07:30.965455Z", + "iopub.status.busy": "2024-06-25T15:07:30.965022Z", + "iopub.status.idle": "2024-06-25T15:07:30.970398Z", + "shell.execute_reply": "2024-06-25T15:07:30.969860Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:21.220950Z", - "iopub.status.busy": "2024-06-19T19:21:21.220779Z", - "iopub.status.idle": "2024-06-19T19:21:21.224424Z", - "shell.execute_reply": "2024-06-19T19:21:21.223999Z" + "iopub.execute_input": "2024-06-25T15:07:30.972484Z", + "iopub.status.busy": "2024-06-25T15:07:30.972035Z", + "iopub.status.idle": "2024-06-25T15:07:30.975938Z", + "shell.execute_reply": "2024-06-25T15:07:30.975385Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:21.226254Z", - "iopub.status.busy": "2024-06-19T19:21:21.226080Z", - "iopub.status.idle": "2024-06-19T19:21:22.115032Z", - "shell.execute_reply": "2024-06-19T19:21:22.114380Z" + "iopub.execute_input": "2024-06-25T15:07:30.977970Z", + "iopub.status.busy": "2024-06-25T15:07:30.977564Z", + "iopub.status.idle": "2024-06-25T15:07:31.919227Z", + "shell.execute_reply": "2024-06-25T15:07:31.918669Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:22.117461Z", - "iopub.status.busy": "2024-06-19T19:21:22.117007Z", - "iopub.status.idle": "2024-06-19T19:21:22.380419Z", - "shell.execute_reply": "2024-06-19T19:21:22.379814Z" + "iopub.execute_input": "2024-06-25T15:07:31.921696Z", + "iopub.status.busy": "2024-06-25T15:07:31.921290Z", + "iopub.status.idle": "2024-06-25T15:07:32.145817Z", + "shell.execute_reply": "2024-06-25T15:07:32.145280Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:22.382648Z", - "iopub.status.busy": "2024-06-19T19:21:22.382297Z", - "iopub.status.idle": "2024-06-19T19:21:22.386482Z", - "shell.execute_reply": "2024-06-19T19:21:22.386021Z" + "iopub.execute_input": "2024-06-25T15:07:32.148278Z", + "iopub.status.busy": "2024-06-25T15:07:32.147806Z", + "iopub.status.idle": "2024-06-25T15:07:32.152324Z", + "shell.execute_reply": "2024-06-25T15:07:32.151771Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:22.388619Z", - "iopub.status.busy": "2024-06-19T19:21:22.388287Z", - "iopub.status.idle": "2024-06-19T19:21:22.848617Z", - "shell.execute_reply": "2024-06-19T19:21:22.847987Z" + "iopub.execute_input": "2024-06-25T15:07:32.154660Z", + "iopub.status.busy": "2024-06-25T15:07:32.154327Z", + "iopub.status.idle": "2024-06-25T15:07:32.615786Z", + "shell.execute_reply": "2024-06-25T15:07:32.615079Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:22.851442Z", - "iopub.status.busy": "2024-06-19T19:21:22.851261Z", - "iopub.status.idle": "2024-06-19T19:21:23.157971Z", - "shell.execute_reply": "2024-06-19T19:21:23.157376Z" + "iopub.execute_input": "2024-06-25T15:07:32.619201Z", + "iopub.status.busy": "2024-06-25T15:07:32.618983Z", + "iopub.status.idle": "2024-06-25T15:07:32.939594Z", + "shell.execute_reply": "2024-06-25T15:07:32.938922Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:23.160284Z", - "iopub.status.busy": "2024-06-19T19:21:23.160104Z", - "iopub.status.idle": "2024-06-19T19:21:23.495427Z", - "shell.execute_reply": "2024-06-19T19:21:23.494830Z" + "iopub.execute_input": "2024-06-25T15:07:32.942158Z", + "iopub.status.busy": "2024-06-25T15:07:32.941948Z", + "iopub.status.idle": "2024-06-25T15:07:33.317002Z", + "shell.execute_reply": "2024-06-25T15:07:33.316469Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:23.498528Z", - "iopub.status.busy": "2024-06-19T19:21:23.497900Z", - "iopub.status.idle": "2024-06-19T19:21:23.913525Z", - "shell.execute_reply": "2024-06-19T19:21:23.912931Z" + "iopub.execute_input": "2024-06-25T15:07:33.319292Z", + "iopub.status.busy": "2024-06-25T15:07:33.319076Z", + "iopub.status.idle": "2024-06-25T15:07:33.762140Z", + "shell.execute_reply": "2024-06-25T15:07:33.761516Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:23.917767Z", - "iopub.status.busy": "2024-06-19T19:21:23.917563Z", - "iopub.status.idle": "2024-06-19T19:21:24.344535Z", - "shell.execute_reply": "2024-06-19T19:21:24.343907Z" + "iopub.execute_input": "2024-06-25T15:07:33.766241Z", + "iopub.status.busy": "2024-06-25T15:07:33.765880Z", + "iopub.status.idle": "2024-06-25T15:07:34.218058Z", + "shell.execute_reply": "2024-06-25T15:07:34.217390Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:24.347416Z", - "iopub.status.busy": "2024-06-19T19:21:24.346958Z", - "iopub.status.idle": "2024-06-19T19:21:24.563823Z", - "shell.execute_reply": "2024-06-19T19:21:24.563248Z" + "iopub.execute_input": "2024-06-25T15:07:34.221265Z", + "iopub.status.busy": "2024-06-25T15:07:34.220913Z", + "iopub.status.idle": "2024-06-25T15:07:34.443447Z", + "shell.execute_reply": "2024-06-25T15:07:34.442862Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:24.565975Z", - "iopub.status.busy": "2024-06-19T19:21:24.565664Z", - "iopub.status.idle": "2024-06-19T19:21:24.765308Z", - "shell.execute_reply": "2024-06-19T19:21:24.764793Z" + "iopub.execute_input": "2024-06-25T15:07:34.445847Z", + "iopub.status.busy": "2024-06-25T15:07:34.445492Z", + "iopub.status.idle": "2024-06-25T15:07:34.649016Z", + "shell.execute_reply": "2024-06-25T15:07:34.648520Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:24.767492Z", - "iopub.status.busy": "2024-06-19T19:21:24.767088Z", - "iopub.status.idle": "2024-06-19T19:21:24.769960Z", - "shell.execute_reply": "2024-06-19T19:21:24.769525Z" + "iopub.execute_input": "2024-06-25T15:07:34.651410Z", + "iopub.status.busy": "2024-06-25T15:07:34.651034Z", + "iopub.status.idle": "2024-06-25T15:07:34.654615Z", + "shell.execute_reply": "2024-06-25T15:07:34.654190Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:24.771744Z", - "iopub.status.busy": "2024-06-19T19:21:24.771572Z", - "iopub.status.idle": "2024-06-19T19:21:25.699619Z", - "shell.execute_reply": "2024-06-19T19:21:25.698928Z" + "iopub.execute_input": "2024-06-25T15:07:34.656732Z", + "iopub.status.busy": "2024-06-25T15:07:34.656395Z", + "iopub.status.idle": "2024-06-25T15:07:35.733686Z", + "shell.execute_reply": "2024-06-25T15:07:35.733102Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:25.702305Z", - "iopub.status.busy": "2024-06-19T19:21:25.702119Z", - "iopub.status.idle": "2024-06-19T19:21:25.844475Z", - "shell.execute_reply": "2024-06-19T19:21:25.843871Z" + "iopub.execute_input": "2024-06-25T15:07:35.736680Z", + "iopub.status.busy": "2024-06-25T15:07:35.736286Z", + "iopub.status.idle": "2024-06-25T15:07:35.879525Z", + "shell.execute_reply": "2024-06-25T15:07:35.878954Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:25.846804Z", - "iopub.status.busy": "2024-06-19T19:21:25.846491Z", - "iopub.status.idle": "2024-06-19T19:21:26.036943Z", - "shell.execute_reply": "2024-06-19T19:21:26.036322Z" + "iopub.execute_input": "2024-06-25T15:07:35.881842Z", + "iopub.status.busy": "2024-06-25T15:07:35.881503Z", + "iopub.status.idle": "2024-06-25T15:07:36.052853Z", + "shell.execute_reply": "2024-06-25T15:07:36.052254Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:26.038981Z", - "iopub.status.busy": "2024-06-19T19:21:26.038808Z", - "iopub.status.idle": "2024-06-19T19:21:26.745847Z", - "shell.execute_reply": "2024-06-19T19:21:26.745290Z" + "iopub.execute_input": "2024-06-25T15:07:36.055160Z", + "iopub.status.busy": "2024-06-25T15:07:36.054805Z", + "iopub.status.idle": "2024-06-25T15:07:36.816947Z", + "shell.execute_reply": "2024-06-25T15:07:36.816448Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:26.747946Z", - "iopub.status.busy": "2024-06-19T19:21:26.747762Z", - "iopub.status.idle": "2024-06-19T19:21:26.751701Z", - "shell.execute_reply": "2024-06-19T19:21:26.751150Z" + "iopub.execute_input": "2024-06-25T15:07:36.819372Z", + "iopub.status.busy": "2024-06-25T15:07:36.818979Z", + "iopub.status.idle": "2024-06-25T15:07:36.823481Z", + "shell.execute_reply": "2024-06-25T15:07:36.823038Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index c3f7f1e62..628e37325 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": "2024-06-19T19:21:29.120493Z", - "iopub.status.busy": "2024-06-19T19:21:29.119912Z", - "iopub.status.idle": "2024-06-19T19:21:31.933775Z", - "shell.execute_reply": "2024-06-19T19:21:31.933128Z" + "iopub.execute_input": "2024-06-25T15:07:39.206096Z", + "iopub.status.busy": "2024-06-25T15:07:39.205590Z", + "iopub.status.idle": "2024-06-25T15:07:42.210777Z", + "shell.execute_reply": "2024-06-25T15:07:42.210255Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:21:31.936732Z", - "iopub.status.busy": "2024-06-19T19:21:31.936246Z", - "iopub.status.idle": "2024-06-19T19:21:32.274001Z", - "shell.execute_reply": "2024-06-19T19:21:32.273500Z" + "iopub.execute_input": "2024-06-25T15:07:42.213460Z", + "iopub.status.busy": "2024-06-25T15:07:42.213004Z", + "iopub.status.idle": "2024-06-25T15:07:42.560062Z", + "shell.execute_reply": "2024-06-25T15:07:42.559409Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:32.276508Z", - "iopub.status.busy": "2024-06-19T19:21:32.276105Z", - "iopub.status.idle": "2024-06-19T19:21:32.280247Z", - "shell.execute_reply": "2024-06-19T19:21:32.279783Z" + "iopub.execute_input": "2024-06-25T15:07:42.562840Z", + "iopub.status.busy": "2024-06-25T15:07:42.562287Z", + "iopub.status.idle": "2024-06-25T15:07:42.566702Z", + "shell.execute_reply": "2024-06-25T15:07:42.566159Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:32.282254Z", - "iopub.status.busy": "2024-06-19T19:21:32.281985Z", - "iopub.status.idle": "2024-06-19T19:21:36.710600Z", - "shell.execute_reply": "2024-06-19T19:21:36.710069Z" + "iopub.execute_input": "2024-06-25T15:07:42.569125Z", + "iopub.status.busy": "2024-06-25T15:07:42.568681Z", + "iopub.status.idle": "2024-06-25T15:07:47.162636Z", + "shell.execute_reply": "2024-06-25T15:07:47.162050Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 1802240/170498071 [00:00<00:09, 18017949.54it/s]" + " 1%| | 1441792/170498071 [00:00<00:11, 14265089.86it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 11632640/170498071 [00:00<00:02, 65094219.10it/s]" + " 6%|▌ | 10321920/170498071 [00:00<00:02, 57876720.06it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 20742144/170498071 [00:00<00:01, 76902331.31it/s]" + " 12%|█▏ | 20414464/170498071 [00:00<00:01, 77367913.49it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 30113792/170498071 [00:00<00:01, 83516379.16it/s]" + " 18%|█▊ | 30932992/170498071 [00:00<00:01, 88273292.38it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 39419904/170498071 [00:00<00:01, 86703889.29it/s]" + " 24%|██▍ | 41320448/170498071 [00:00<00:01, 93828843.91it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 48726016/170498071 [00:00<00:01, 88771798.18it/s]" + " 30%|███ | 51904512/170498071 [00:00<00:01, 97766525.28it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 59015168/170498071 [00:00<00:01, 93366717.63it/s]" + " 36%|███▋ | 62095360/170498071 [00:00<00:01, 99063313.45it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 68354048/170498071 [00:00<00:01, 90460697.58it/s]" + " 42%|████▏ | 72450048/170498071 [00:00<00:00, 100483151.75it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▋ | 79069184/170498071 [00:00<00:00, 95349758.18it/s]" + " 48%|████▊ | 82608128/170498071 [00:00<00:00, 100537532.88it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████▏ | 88637440/170498071 [00:01<00:00, 92585510.28it/s]" + " 54%|█████▍ | 92667904/170498071 [00:01<00:00, 97249164.32it/s] " ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▊ | 99778560/170498071 [00:01<00:00, 98045186.44it/s]" + " 60%|██████ | 102432768/170498071 [00:01<00:00, 95386720.52it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▍ | 109641728/170498071 [00:01<00:00, 94260473.23it/s]" + " 66%|██████▌ | 112001024/170498071 [00:01<00:00, 93763598.44it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████ | 120717312/170498071 [00:01<00:00, 99011912.12it/s]" + " 71%|███████ | 121405440/170498071 [00:01<00:00, 90762304.11it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 130678784/170498071 [00:01<00:00, 94682120.53it/s]" + " 77%|███████▋ | 130514944/170498071 [00:01<00:00, 88997803.93it/s]" ] }, { @@ -364,7 +364,7 @@ "output_type": "stream", "text": [ "\r", - " 83%|████████▎ | 141754368/170498071 [00:01<00:00, 99100549.00it/s]" + " 82%|████████▏ | 139460608/170498071 [00:01<00:00, 85560327.60it/s]" ] }, { @@ -372,7 +372,7 @@ "output_type": "stream", "text": [ "\r", - " 89%|████████▉ | 151748608/170498071 [00:01<00:00, 95388325.55it/s]" + " 87%|████████▋ | 148045824/170498071 [00:01<00:00, 85139512.24it/s]" ] }, { @@ -380,7 +380,7 @@ "output_type": "stream", "text": [ "\r", - " 96%|█████████▌| 162889728/170498071 [00:01<00:00, 99924151.59it/s]" + " 92%|█████████▏| 156991488/170498071 [00:01<00:00, 86219496.23it/s]" ] }, { @@ -388,7 +388,15 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████| 170498071/170498071 [00:01<00:00, 91550653.75it/s]" + " 97%|█████████▋| 165969920/170498071 [00:01<00:00, 87041053.11it/s]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + "100%|██████████| 170498071/170498071 [00:01<00:00, 88744795.96it/s]" ] }, { @@ -506,10 +514,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:36.712936Z", - "iopub.status.busy": "2024-06-19T19:21:36.712655Z", - "iopub.status.idle": "2024-06-19T19:21:36.717328Z", - "shell.execute_reply": "2024-06-19T19:21:36.716904Z" + "iopub.execute_input": "2024-06-25T15:07:47.164941Z", + "iopub.status.busy": "2024-06-25T15:07:47.164716Z", + "iopub.status.idle": "2024-06-25T15:07:47.169619Z", + "shell.execute_reply": "2024-06-25T15:07:47.169146Z" }, "nbsphinx": "hidden" }, @@ -560,10 +568,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:36.719368Z", - "iopub.status.busy": "2024-06-19T19:21:36.719054Z", - "iopub.status.idle": "2024-06-19T19:21:37.267753Z", - "shell.execute_reply": "2024-06-19T19:21:37.267211Z" + "iopub.execute_input": "2024-06-25T15:07:47.171722Z", + "iopub.status.busy": "2024-06-25T15:07:47.171382Z", + "iopub.status.idle": "2024-06-25T15:07:47.738760Z", + "shell.execute_reply": "2024-06-25T15:07:47.738088Z" } }, "outputs": [ @@ -596,10 +604,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.270008Z", - "iopub.status.busy": "2024-06-19T19:21:37.269658Z", - "iopub.status.idle": "2024-06-19T19:21:37.771584Z", - "shell.execute_reply": "2024-06-19T19:21:37.771009Z" + "iopub.execute_input": "2024-06-25T15:07:47.741125Z", + "iopub.status.busy": "2024-06-25T15:07:47.740746Z", + "iopub.status.idle": "2024-06-25T15:07:48.261248Z", + "shell.execute_reply": "2024-06-25T15:07:48.260672Z" } }, "outputs": [ @@ -637,10 +645,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.773694Z", - "iopub.status.busy": "2024-06-19T19:21:37.773502Z", - "iopub.status.idle": "2024-06-19T19:21:37.777253Z", - "shell.execute_reply": "2024-06-19T19:21:37.776701Z" + "iopub.execute_input": "2024-06-25T15:07:48.263378Z", + "iopub.status.busy": "2024-06-25T15:07:48.263183Z", + "iopub.status.idle": "2024-06-25T15:07:48.267023Z", + "shell.execute_reply": "2024-06-25T15:07:48.266572Z" } }, "outputs": [], @@ -663,17 +671,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.779279Z", - "iopub.status.busy": "2024-06-19T19:21:37.778976Z", - "iopub.status.idle": "2024-06-19T19:21:50.625364Z", - "shell.execute_reply": "2024-06-19T19:21:50.624781Z" + "iopub.execute_input": "2024-06-25T15:07:48.268899Z", + "iopub.status.busy": "2024-06-25T15:07:48.268728Z", + "iopub.status.idle": "2024-06-25T15:08:00.626265Z", + "shell.execute_reply": "2024-06-25T15:08:00.625732Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5a3224df4122414dbc965e4870dbbda1", + "model_id": "b21e9d68df194288ae90e0c8135c4ae7", "version_major": 2, "version_minor": 0 }, @@ -732,10 +740,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:50.628005Z", - "iopub.status.busy": "2024-06-19T19:21:50.627513Z", - "iopub.status.idle": "2024-06-19T19:21:52.712045Z", - "shell.execute_reply": "2024-06-19T19:21:52.711492Z" + "iopub.execute_input": "2024-06-25T15:08:00.628642Z", + "iopub.status.busy": "2024-06-25T15:08:00.628254Z", + "iopub.status.idle": "2024-06-25T15:08:02.761210Z", + "shell.execute_reply": "2024-06-25T15:08:02.760608Z" } }, "outputs": [ @@ -779,10 +787,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:52.714529Z", - "iopub.status.busy": "2024-06-19T19:21:52.713991Z", - "iopub.status.idle": "2024-06-19T19:21:52.962218Z", - "shell.execute_reply": "2024-06-19T19:21:52.961618Z" + "iopub.execute_input": "2024-06-25T15:08:02.763626Z", + "iopub.status.busy": "2024-06-25T15:08:02.763245Z", + "iopub.status.idle": "2024-06-25T15:08:03.022141Z", + "shell.execute_reply": "2024-06-25T15:08:03.021575Z" } }, "outputs": [ @@ -818,10 +826,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:52.964783Z", - "iopub.status.busy": "2024-06-19T19:21:52.964455Z", - "iopub.status.idle": "2024-06-19T19:21:53.652657Z", - "shell.execute_reply": "2024-06-19T19:21:53.652090Z" + "iopub.execute_input": "2024-06-25T15:08:03.025107Z", + "iopub.status.busy": "2024-06-25T15:08:03.024724Z", + "iopub.status.idle": "2024-06-25T15:08:03.686604Z", + "shell.execute_reply": "2024-06-25T15:08:03.686062Z" } }, "outputs": [ @@ -871,10 +879,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:53.655637Z", - "iopub.status.busy": "2024-06-19T19:21:53.655191Z", - "iopub.status.idle": "2024-06-19T19:21:53.997788Z", - "shell.execute_reply": "2024-06-19T19:21:53.997182Z" + "iopub.execute_input": "2024-06-25T15:08:03.689638Z", + "iopub.status.busy": "2024-06-25T15:08:03.689263Z", + "iopub.status.idle": "2024-06-25T15:08:04.028975Z", + "shell.execute_reply": "2024-06-25T15:08:04.028446Z" } }, "outputs": [ @@ -922,10 +930,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:53.999907Z", - "iopub.status.busy": "2024-06-19T19:21:53.999721Z", - "iopub.status.idle": "2024-06-19T19:21:54.237511Z", - "shell.execute_reply": "2024-06-19T19:21:54.236817Z" + "iopub.execute_input": "2024-06-25T15:08:04.031274Z", + "iopub.status.busy": "2024-06-25T15:08:04.030954Z", + "iopub.status.idle": "2024-06-25T15:08:04.277500Z", + "shell.execute_reply": "2024-06-25T15:08:04.276887Z" } }, "outputs": [ @@ -981,10 +989,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:54.239898Z", - "iopub.status.busy": "2024-06-19T19:21:54.239706Z", - "iopub.status.idle": "2024-06-19T19:21:54.320356Z", - "shell.execute_reply": "2024-06-19T19:21:54.319739Z" + "iopub.execute_input": "2024-06-25T15:08:04.280546Z", + "iopub.status.busy": "2024-06-25T15:08:04.280101Z", + "iopub.status.idle": "2024-06-25T15:08:04.364340Z", + "shell.execute_reply": "2024-06-25T15:08:04.363675Z" } }, "outputs": [], @@ -1005,10 +1013,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:54.323090Z", - "iopub.status.busy": "2024-06-19T19:21:54.322572Z", - "iopub.status.idle": "2024-06-19T19:22:04.687477Z", - "shell.execute_reply": "2024-06-19T19:22:04.686893Z" + "iopub.execute_input": "2024-06-25T15:08:04.366792Z", + "iopub.status.busy": "2024-06-25T15:08:04.366374Z", + "iopub.status.idle": "2024-06-25T15:08:14.914279Z", + "shell.execute_reply": "2024-06-25T15:08:14.913604Z" } }, "outputs": [ @@ -1045,10 +1053,10 @@ "id": "874c885a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:04.689967Z", - "iopub.status.busy": "2024-06-19T19:22:04.689573Z", - "iopub.status.idle": "2024-06-19T19:22:06.934115Z", - "shell.execute_reply": "2024-06-19T19:22:06.933562Z" + "iopub.execute_input": "2024-06-25T15:08:14.916776Z", + "iopub.status.busy": "2024-06-25T15:08:14.916511Z", + "iopub.status.idle": "2024-06-25T15:08:17.293821Z", + "shell.execute_reply": "2024-06-25T15:08:17.293306Z" } }, "outputs": [ @@ -1079,10 +1087,10 @@ "id": "e110fc4b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:06.936708Z", - "iopub.status.busy": "2024-06-19T19:22:06.936252Z", - "iopub.status.idle": "2024-06-19T19:22:07.138884Z", - "shell.execute_reply": "2024-06-19T19:22:07.138371Z" + "iopub.execute_input": "2024-06-25T15:08:17.296752Z", + "iopub.status.busy": "2024-06-25T15:08:17.296141Z", + "iopub.status.idle": "2024-06-25T15:08:17.508879Z", + "shell.execute_reply": "2024-06-25T15:08:17.508351Z" } }, "outputs": [], @@ -1096,10 +1104,10 @@ "id": "85b60cbf", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:07.141191Z", - "iopub.status.busy": "2024-06-19T19:22:07.141008Z", - "iopub.status.idle": "2024-06-19T19:22:07.144139Z", - "shell.execute_reply": "2024-06-19T19:22:07.143685Z" + "iopub.execute_input": "2024-06-25T15:08:17.511428Z", + "iopub.status.busy": "2024-06-25T15:08:17.511052Z", + "iopub.status.idle": "2024-06-25T15:08:17.514355Z", + "shell.execute_reply": "2024-06-25T15:08:17.513890Z" } }, "outputs": [], @@ -1121,10 +1129,10 @@ "id": "17f96fa6", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:07.146103Z", - "iopub.status.busy": "2024-06-19T19:22:07.145788Z", - "iopub.status.idle": "2024-06-19T19:22:07.153730Z", - "shell.execute_reply": "2024-06-19T19:22:07.153317Z" + "iopub.execute_input": "2024-06-25T15:08:17.516595Z", + "iopub.status.busy": "2024-06-25T15:08:17.516250Z", + "iopub.status.idle": "2024-06-25T15:08:17.525161Z", + "shell.execute_reply": "2024-06-25T15:08:17.524636Z" }, "nbsphinx": "hidden" }, @@ -1169,7 +1177,30 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "301fd8815bef49a3bc22dadd797c8328": { + "029ab5bdf8b94b57bc553b34f4933dae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_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_10d41885d1794e74b48d2f5349e9c4a0", + "placeholder": "​", + "style": "IPY_MODEL_208a128034214ed29c17b113189b0786", + "tabbable": null, + "tooltip": null, + "value": " 102M/102M [00:00<00:00, 321MB/s]" + } + }, + "10d41885d1794e74b48d2f5349e9c4a0": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1222,7 +1253,7 @@ "width": null } }, - "36f34a2fa98e421fbce75cf94d0f00a3": { + "1ec747a023f5460b9e03ca0529a36abd": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1275,7 +1306,25 @@ "width": null } }, - "4ef52584d74240ea9c356bd673cd88e9": { + "208a128034214ed29c17b113189b0786": { + "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 + } + }, + "3371b9df5e604a5e9f36f07eedf21b70": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", @@ -1290,15 +1339,15 @@ "_view_name": "HTMLView", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_301fd8815bef49a3bc22dadd797c8328", + "layout": "IPY_MODEL_1ec747a023f5460b9e03ca0529a36abd", "placeholder": "​", - "style": "IPY_MODEL_a61bb392daf6435985434d24e28023bd", + "style": "IPY_MODEL_3a260ba4de9b430daed701ad5f4221a7", "tabbable": null, "tooltip": null, "value": "model.safetensors: 100%" } }, - "4f798f621fd1463497fa70b6bbe93712": { + "3a260ba4de9b430daed701ad5f4221a7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1316,7 +1365,49 @@ "text_color": null } }, - "5860d43662fe4e0c94deadd06df5a37c": { + "6812d796b1474a84a2fe7749359cf057": { + "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": "" + } + }, + "a2a7e1b541584749aa693e1422171551": { + "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_c29375cc4b9541b3be4c914b39a169f7", + "max": 102469840.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_6812d796b1474a84a2fe7749359cf057", + "tabbable": null, + "tooltip": null, + "value": 102469840.0 + } + }, + "a31e8cb85d144a88b82782a73f756e42": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1369,7 +1460,7 @@ "width": null } }, - 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"_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "a0e445a93efa475b9bbe14f70502c89c": { - "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_f2d744a291ba4b818d1bbb561fa9c9de", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_6d96f96c2e2e4ad7bd81f250b1896acc", - "tabbable": null, - "tooltip": null, - "value": 102469840.0 - } - }, - "a61bb392daf6435985434d24e28023bd": { - "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 - } - }, - "bbb7509c489f48e2b72aef01319c01ab": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_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_5860d43662fe4e0c94deadd06df5a37c", - "placeholder": "​", - "style": "IPY_MODEL_4f798f621fd1463497fa70b6bbe93712", - "tabbable": null, - "tooltip": null, - "value": " 102M/102M [00:00<00:00, 226MB/s]" - } - }, - "f2d744a291ba4b818d1bbb561fa9c9de": { + "c29375cc4b9541b3be4c914b39a169f7": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index 8e0b24218..05b280ee8 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": "2024-06-19T19:22:11.368000Z", - "iopub.status.busy": "2024-06-19T19:22:11.367563Z", - "iopub.status.idle": "2024-06-19T19:22:12.556140Z", - "shell.execute_reply": "2024-06-19T19:22:12.555541Z" + "iopub.execute_input": "2024-06-25T15:08:21.910070Z", + "iopub.status.busy": "2024-06-25T15:08:21.909651Z", + "iopub.status.idle": "2024-06-25T15:08:23.187736Z", + "shell.execute_reply": "2024-06-25T15:08:23.187169Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.558871Z", - "iopub.status.busy": "2024-06-19T19:22:12.558417Z", - "iopub.status.idle": "2024-06-19T19:22:12.576339Z", - "shell.execute_reply": "2024-06-19T19:22:12.575860Z" + "iopub.execute_input": "2024-06-25T15:08:23.190350Z", + "iopub.status.busy": "2024-06-25T15:08:23.189889Z", + "iopub.status.idle": "2024-06-25T15:08:23.207895Z", + "shell.execute_reply": "2024-06-25T15:08:23.207262Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.578755Z", - "iopub.status.busy": "2024-06-19T19:22:12.578312Z", - "iopub.status.idle": "2024-06-19T19:22:12.581293Z", - "shell.execute_reply": "2024-06-19T19:22:12.580876Z" + "iopub.execute_input": "2024-06-25T15:08:23.210550Z", + "iopub.status.busy": "2024-06-25T15:08:23.210049Z", + "iopub.status.idle": "2024-06-25T15:08:23.213182Z", + "shell.execute_reply": "2024-06-25T15:08:23.212753Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.583418Z", - "iopub.status.busy": "2024-06-19T19:22:12.583095Z", - "iopub.status.idle": "2024-06-19T19:22:12.639379Z", - "shell.execute_reply": "2024-06-19T19:22:12.638871Z" + "iopub.execute_input": "2024-06-25T15:08:23.215212Z", + "iopub.status.busy": "2024-06-25T15:08:23.214881Z", + "iopub.status.idle": "2024-06-25T15:08:23.265186Z", + "shell.execute_reply": "2024-06-25T15:08:23.264656Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.641740Z", - "iopub.status.busy": "2024-06-19T19:22:12.641362Z", - "iopub.status.idle": "2024-06-19T19:22:12.827521Z", - "shell.execute_reply": "2024-06-19T19:22:12.826903Z" + "iopub.execute_input": "2024-06-25T15:08:23.267602Z", + "iopub.status.busy": "2024-06-25T15:08:23.267302Z", + "iopub.status.idle": "2024-06-25T15:08:23.451923Z", + "shell.execute_reply": "2024-06-25T15:08:23.451390Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.830369Z", - "iopub.status.busy": "2024-06-19T19:22:12.830016Z", - "iopub.status.idle": "2024-06-19T19:22:13.074224Z", - "shell.execute_reply": "2024-06-19T19:22:13.073596Z" + "iopub.execute_input": "2024-06-25T15:08:23.454459Z", + "iopub.status.busy": "2024-06-25T15:08:23.453993Z", + "iopub.status.idle": "2024-06-25T15:08:23.699181Z", + "shell.execute_reply": "2024-06-25T15:08:23.698584Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.076680Z", - "iopub.status.busy": "2024-06-19T19:22:13.076327Z", - "iopub.status.idle": "2024-06-19T19:22:13.080626Z", - "shell.execute_reply": "2024-06-19T19:22:13.080195Z" + "iopub.execute_input": "2024-06-25T15:08:23.701383Z", + "iopub.status.busy": "2024-06-25T15:08:23.701192Z", + "iopub.status.idle": "2024-06-25T15:08:23.705748Z", + "shell.execute_reply": "2024-06-25T15:08:23.705281Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.082759Z", - "iopub.status.busy": "2024-06-19T19:22:13.082433Z", - "iopub.status.idle": "2024-06-19T19:22:13.089315Z", - "shell.execute_reply": "2024-06-19T19:22:13.088864Z" + "iopub.execute_input": "2024-06-25T15:08:23.707589Z", + "iopub.status.busy": "2024-06-25T15:08:23.707408Z", + "iopub.status.idle": "2024-06-25T15:08:23.714463Z", + "shell.execute_reply": "2024-06-25T15:08:23.714035Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.091654Z", - "iopub.status.busy": "2024-06-19T19:22:13.091228Z", - "iopub.status.idle": "2024-06-19T19:22:13.094109Z", - "shell.execute_reply": "2024-06-19T19:22:13.093535Z" + "iopub.execute_input": "2024-06-25T15:08:23.716435Z", + "iopub.status.busy": "2024-06-25T15:08:23.716265Z", + "iopub.status.idle": "2024-06-25T15:08:23.718977Z", + "shell.execute_reply": "2024-06-25T15:08:23.718528Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.096306Z", - "iopub.status.busy": "2024-06-19T19:22:13.095966Z", - "iopub.status.idle": "2024-06-19T19:22:21.895748Z", - "shell.execute_reply": "2024-06-19T19:22:21.895130Z" + "iopub.execute_input": "2024-06-25T15:08:23.720735Z", + "iopub.status.busy": "2024-06-25T15:08:23.720567Z", + "iopub.status.idle": "2024-06-25T15:08:32.515041Z", + "shell.execute_reply": "2024-06-25T15:08:32.514475Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.899003Z", - "iopub.status.busy": "2024-06-19T19:22:21.898445Z", - "iopub.status.idle": "2024-06-19T19:22:21.906807Z", - "shell.execute_reply": "2024-06-19T19:22:21.906261Z" + "iopub.execute_input": "2024-06-25T15:08:32.517892Z", + "iopub.status.busy": "2024-06-25T15:08:32.517520Z", + "iopub.status.idle": "2024-06-25T15:08:32.524602Z", + "shell.execute_reply": "2024-06-25T15:08:32.524143Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.909145Z", - "iopub.status.busy": "2024-06-19T19:22:21.908763Z", - "iopub.status.idle": "2024-06-19T19:22:21.913043Z", - "shell.execute_reply": "2024-06-19T19:22:21.912526Z" + "iopub.execute_input": "2024-06-25T15:08:32.526466Z", + "iopub.status.busy": "2024-06-25T15:08:32.526292Z", + "iopub.status.idle": "2024-06-25T15:08:32.529994Z", + "shell.execute_reply": "2024-06-25T15:08:32.529547Z" } }, "outputs": [], @@ -696,10 +696,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.915123Z", - "iopub.status.busy": "2024-06-19T19:22:21.914799Z", - "iopub.status.idle": "2024-06-19T19:22:21.917957Z", - "shell.execute_reply": "2024-06-19T19:22:21.917446Z" + "iopub.execute_input": "2024-06-25T15:08:32.531872Z", + "iopub.status.busy": "2024-06-25T15:08:32.531697Z", + "iopub.status.idle": "2024-06-25T15:08:32.534822Z", + "shell.execute_reply": "2024-06-25T15:08:32.534343Z" } }, "outputs": [ @@ -734,10 +734,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.919978Z", - "iopub.status.busy": "2024-06-19T19:22:21.919659Z", - "iopub.status.idle": "2024-06-19T19:22:21.922593Z", - "shell.execute_reply": "2024-06-19T19:22:21.922161Z" + "iopub.execute_input": "2024-06-25T15:08:32.536822Z", + "iopub.status.busy": "2024-06-25T15:08:32.536509Z", + "iopub.status.idle": "2024-06-25T15:08:32.539371Z", + "shell.execute_reply": "2024-06-25T15:08:32.538939Z" } }, "outputs": [], @@ -756,10 +756,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.924610Z", - "iopub.status.busy": "2024-06-19T19:22:21.924299Z", - "iopub.status.idle": "2024-06-19T19:22:21.932480Z", - "shell.execute_reply": "2024-06-19T19:22:21.931974Z" + "iopub.execute_input": "2024-06-25T15:08:32.541374Z", + "iopub.status.busy": "2024-06-25T15:08:32.541053Z", + "iopub.status.idle": "2024-06-25T15:08:32.549080Z", + "shell.execute_reply": "2024-06-25T15:08:32.548529Z" } }, "outputs": [ @@ -883,10 +883,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.934561Z", - "iopub.status.busy": "2024-06-19T19:22:21.934233Z", - "iopub.status.idle": "2024-06-19T19:22:21.936737Z", - "shell.execute_reply": "2024-06-19T19:22:21.936319Z" + "iopub.execute_input": "2024-06-25T15:08:32.551190Z", + "iopub.status.busy": "2024-06-25T15:08:32.550875Z", + "iopub.status.idle": "2024-06-25T15:08:32.553349Z", + "shell.execute_reply": "2024-06-25T15:08:32.552920Z" }, "nbsphinx": "hidden" }, @@ -921,10 +921,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.938712Z", - "iopub.status.busy": "2024-06-19T19:22:21.938393Z", - "iopub.status.idle": "2024-06-19T19:22:22.058825Z", - "shell.execute_reply": "2024-06-19T19:22:22.058317Z" + "iopub.execute_input": "2024-06-25T15:08:32.555270Z", + "iopub.status.busy": "2024-06-25T15:08:32.555009Z", + "iopub.status.idle": "2024-06-25T15:08:32.675129Z", + "shell.execute_reply": "2024-06-25T15:08:32.674535Z" } }, "outputs": [ @@ -963,10 +963,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.061120Z", - "iopub.status.busy": "2024-06-19T19:22:22.060820Z", - "iopub.status.idle": "2024-06-19T19:22:22.164669Z", - "shell.execute_reply": "2024-06-19T19:22:22.164078Z" + "iopub.execute_input": "2024-06-25T15:08:32.677505Z", + "iopub.status.busy": "2024-06-25T15:08:32.677100Z", + "iopub.status.idle": "2024-06-25T15:08:32.780745Z", + "shell.execute_reply": "2024-06-25T15:08:32.780144Z" } }, "outputs": [ @@ -1022,10 +1022,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.167253Z", - "iopub.status.busy": "2024-06-19T19:22:22.166777Z", - "iopub.status.idle": "2024-06-19T19:22:22.650043Z", - "shell.execute_reply": "2024-06-19T19:22:22.649427Z" + "iopub.execute_input": "2024-06-25T15:08:32.783226Z", + "iopub.status.busy": "2024-06-25T15:08:32.782916Z", + "iopub.status.idle": "2024-06-25T15:08:33.275114Z", + "shell.execute_reply": "2024-06-25T15:08:33.274476Z" } }, "outputs": [], @@ -1041,10 +1041,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.652862Z", - "iopub.status.busy": "2024-06-19T19:22:22.652413Z", - "iopub.status.idle": "2024-06-19T19:22:22.724418Z", - "shell.execute_reply": "2024-06-19T19:22:22.723819Z" + "iopub.execute_input": "2024-06-25T15:08:33.278038Z", + "iopub.status.busy": "2024-06-25T15:08:33.277650Z", + "iopub.status.idle": "2024-06-25T15:08:33.355571Z", + "shell.execute_reply": "2024-06-25T15:08:33.354907Z" } }, "outputs": [ @@ -1079,10 +1079,10 @@ "id": "dbab6fb3", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.726761Z", - "iopub.status.busy": "2024-06-19T19:22:22.726434Z", - "iopub.status.idle": "2024-06-19T19:22:22.735576Z", - "shell.execute_reply": "2024-06-19T19:22:22.735001Z" + "iopub.execute_input": "2024-06-25T15:08:33.357938Z", + "iopub.status.busy": "2024-06-25T15:08:33.357576Z", + "iopub.status.idle": "2024-06-25T15:08:33.366390Z", + "shell.execute_reply": "2024-06-25T15:08:33.365818Z" } }, "outputs": [ @@ -1189,10 +1189,10 @@ "id": "5b39b8b5", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.737867Z", - "iopub.status.busy": "2024-06-19T19:22:22.737447Z", - "iopub.status.idle": "2024-06-19T19:22:22.740374Z", - "shell.execute_reply": "2024-06-19T19:22:22.739827Z" + "iopub.execute_input": "2024-06-25T15:08:33.368557Z", + "iopub.status.busy": "2024-06-25T15:08:33.368144Z", + "iopub.status.idle": "2024-06-25T15:08:33.371002Z", + "shell.execute_reply": "2024-06-25T15:08:33.370446Z" }, "nbsphinx": "hidden" }, @@ -1217,10 +1217,10 @@ "id": "df06525b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:22.742417Z", - "iopub.status.busy": "2024-06-19T19:22:22.742026Z", - "iopub.status.idle": "2024-06-19T19:22:28.181125Z", - "shell.execute_reply": "2024-06-19T19:22:28.180362Z" + "iopub.execute_input": "2024-06-25T15:08:33.372993Z", + "iopub.status.busy": "2024-06-25T15:08:33.372669Z", + "iopub.status.idle": "2024-06-25T15:08:38.777735Z", + "shell.execute_reply": "2024-06-25T15:08:38.777132Z" } }, "outputs": [ @@ -1264,10 +1264,10 @@ "id": "05282559", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:28.183472Z", - "iopub.status.busy": "2024-06-19T19:22:28.183097Z", - "iopub.status.idle": "2024-06-19T19:22:28.191490Z", - "shell.execute_reply": "2024-06-19T19:22:28.191032Z" + "iopub.execute_input": "2024-06-25T15:08:38.779921Z", + "iopub.status.busy": "2024-06-25T15:08:38.779740Z", + "iopub.status.idle": "2024-06-25T15:08:38.788666Z", + "shell.execute_reply": "2024-06-25T15:08:38.788200Z" } }, "outputs": [ @@ -1376,10 +1376,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:28.193665Z", - "iopub.status.busy": "2024-06-19T19:22:28.193310Z", - "iopub.status.idle": "2024-06-19T19:22:28.264774Z", - "shell.execute_reply": "2024-06-19T19:22:28.264140Z" + "iopub.execute_input": "2024-06-25T15:08:38.790794Z", + "iopub.status.busy": "2024-06-25T15:08:38.790455Z", + "iopub.status.idle": "2024-06-25T15:08:38.856329Z", + "shell.execute_reply": "2024-06-25T15:08:38.855659Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index 93500f81b..d9260f9a6 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": "2024-06-19T19:22:31.222727Z", - "iopub.status.busy": "2024-06-19T19:22:31.222541Z", - "iopub.status.idle": "2024-06-19T19:22:32.657497Z", - "shell.execute_reply": "2024-06-19T19:22:32.656841Z" + "iopub.execute_input": "2024-06-25T15:08:42.880799Z", + "iopub.status.busy": "2024-06-25T15:08:42.880586Z", + "iopub.status.idle": "2024-06-25T15:08:44.512863Z", + "shell.execute_reply": "2024-06-25T15:08:44.512159Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:32.660212Z", - "iopub.status.busy": "2024-06-19T19:22:32.659832Z", - "iopub.status.idle": "2024-06-19T19:23:28.505248Z", - "shell.execute_reply": "2024-06-19T19:23:28.504612Z" + "iopub.execute_input": "2024-06-25T15:08:44.515546Z", + "iopub.status.busy": "2024-06-25T15:08:44.515142Z", + "iopub.status.idle": "2024-06-25T15:09:30.026971Z", + "shell.execute_reply": "2024-06-25T15:09:30.026285Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:28.507912Z", - "iopub.status.busy": "2024-06-19T19:23:28.507529Z", - "iopub.status.idle": "2024-06-19T19:23:29.657502Z", - "shell.execute_reply": "2024-06-19T19:23:29.656999Z" + "iopub.execute_input": "2024-06-25T15:09:30.030165Z", + "iopub.status.busy": "2024-06-25T15:09:30.029717Z", + "iopub.status.idle": "2024-06-25T15:09:31.216800Z", + "shell.execute_reply": "2024-06-25T15:09:31.216232Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:23:29.659836Z", - "iopub.status.busy": "2024-06-19T19:23:29.659557Z", - "iopub.status.idle": "2024-06-19T19:23:29.662860Z", - "shell.execute_reply": "2024-06-19T19:23:29.662401Z" + "iopub.execute_input": "2024-06-25T15:09:31.219451Z", + "iopub.status.busy": "2024-06-25T15:09:31.218947Z", + "iopub.status.idle": "2024-06-25T15:09:31.222257Z", + "shell.execute_reply": "2024-06-25T15:09:31.221814Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.664918Z", - "iopub.status.busy": "2024-06-19T19:23:29.664596Z", - "iopub.status.idle": "2024-06-19T19:23:29.668370Z", - "shell.execute_reply": "2024-06-19T19:23:29.667881Z" + "iopub.execute_input": "2024-06-25T15:09:31.224354Z", + "iopub.status.busy": "2024-06-25T15:09:31.224015Z", + "iopub.status.idle": "2024-06-25T15:09:31.227897Z", + "shell.execute_reply": "2024-06-25T15:09:31.227400Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.670605Z", - "iopub.status.busy": "2024-06-19T19:23:29.670205Z", - "iopub.status.idle": "2024-06-19T19:23:29.673912Z", - "shell.execute_reply": "2024-06-19T19:23:29.673443Z" + "iopub.execute_input": "2024-06-25T15:09:31.230054Z", + "iopub.status.busy": "2024-06-25T15:09:31.229723Z", + "iopub.status.idle": "2024-06-25T15:09:31.233461Z", + "shell.execute_reply": "2024-06-25T15:09:31.232999Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.675914Z", - "iopub.status.busy": "2024-06-19T19:23:29.675587Z", - "iopub.status.idle": "2024-06-19T19:23:29.678333Z", - "shell.execute_reply": "2024-06-19T19:23:29.677897Z" + "iopub.execute_input": "2024-06-25T15:09:31.235398Z", + "iopub.status.busy": "2024-06-25T15:09:31.235075Z", + "iopub.status.idle": "2024-06-25T15:09:31.237798Z", + "shell.execute_reply": "2024-06-25T15:09:31.237382Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.680372Z", - "iopub.status.busy": "2024-06-19T19:23:29.680015Z", - "iopub.status.idle": "2024-06-19T19:24:04.370495Z", - "shell.execute_reply": "2024-06-19T19:24:04.369871Z" + "iopub.execute_input": "2024-06-25T15:09:31.239942Z", + "iopub.status.busy": "2024-06-25T15:09:31.239523Z", + "iopub.status.idle": "2024-06-25T15:10:05.521047Z", + "shell.execute_reply": "2024-06-25T15:10:05.520436Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f16fbb37d5f64b6089cc7bad6951549a", + "model_id": "d8bb0abd0b0e4ce2a3b837494e657378", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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"style": "IPY_MODEL_3d6d486fefbc4f3086d0a63d860feb84", + "style": "IPY_MODEL_e8f4528787a3401c8ea684eb606bd17b", "tabbable": null, "tooltip": null, - "value": " 30/30 [00:22<00:00,  1.31it/s]" + "value": "images processed using softmin: 100%" + } + }, + "e8f4528787a3401c8ea684eb606bd17b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } } }, diff --git a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb index 2d42f5e88..f016ba70f 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": "2024-06-19T19:25:09.578962Z", - "iopub.status.busy": "2024-06-19T19:25:09.578560Z", - "iopub.status.idle": "2024-06-19T19:25:10.928643Z", - "shell.execute_reply": "2024-06-19T19:25:10.928022Z" + "iopub.execute_input": "2024-06-25T15:11:11.232355Z", + "iopub.status.busy": "2024-06-25T15:11:11.231865Z", + "iopub.status.idle": "2024-06-25T15:11:12.478175Z", + "shell.execute_reply": "2024-06-25T15:11:12.477547Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-06-19 19:25:09-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-06-25 15:11:11-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,8 +94,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "169.150.236.99, 2400:52e0:1a00::718:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... " + "169.150.236.97, 2400:52e0:1a00::845:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... " ] }, { @@ -123,9 +123,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", + "conll2003.zip 100%[===================>] 959.94K 4.97MB/s in 0.2s \r\n", "\r\n", - "2024-06-19 19:25:10 (7.77 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-06-25 15:11:11 (4.97 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -145,9 +145,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-06-19 19:25:10-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.206.91, 52.217.206.81, 52.216.77.4, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.206.91|:443... connected.\r\n", + "--2024-06-25 15:11:12-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.184.163, 3.5.21.123, 52.217.91.12, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.184.163|:443... connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -168,17 +168,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 53%[=========> ] 8.71M 43.3MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 100%[===================>] 16.26M 64.2MB/s in 0.3s \r\n", + "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.08s \r\n", "\r\n", - "2024-06-19 19:25:10 (64.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-06-25 15:11:12 (198 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -195,10 +187,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:10.931072Z", - "iopub.status.busy": "2024-06-19T19:25:10.930882Z", - "iopub.status.idle": "2024-06-19T19:25:12.255881Z", - "shell.execute_reply": "2024-06-19T19:25:12.255242Z" + "iopub.execute_input": "2024-06-25T15:11:12.480956Z", + "iopub.status.busy": "2024-06-25T15:11:12.480566Z", + "iopub.status.idle": "2024-06-25T15:11:13.767885Z", + "shell.execute_reply": "2024-06-25T15:11:13.767217Z" }, "nbsphinx": "hidden" }, @@ -209,7 +201,7 @@ "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -235,10 +227,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.258491Z", - "iopub.status.busy": "2024-06-19T19:25:12.258068Z", - "iopub.status.idle": "2024-06-19T19:25:12.261536Z", - "shell.execute_reply": "2024-06-19T19:25:12.260999Z" + "iopub.execute_input": "2024-06-25T15:11:13.770729Z", + "iopub.status.busy": "2024-06-25T15:11:13.770175Z", + "iopub.status.idle": "2024-06-25T15:11:13.773709Z", + "shell.execute_reply": "2024-06-25T15:11:13.773187Z" } }, "outputs": [], @@ -288,10 +280,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.263644Z", - "iopub.status.busy": "2024-06-19T19:25:12.263314Z", - "iopub.status.idle": "2024-06-19T19:25:12.266277Z", - "shell.execute_reply": "2024-06-19T19:25:12.265838Z" + "iopub.execute_input": "2024-06-25T15:11:13.775785Z", + "iopub.status.busy": "2024-06-25T15:11:13.775587Z", + "iopub.status.idle": "2024-06-25T15:11:13.778748Z", + "shell.execute_reply": "2024-06-25T15:11:13.778221Z" }, "nbsphinx": "hidden" }, @@ -309,10 +301,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.268426Z", - "iopub.status.busy": "2024-06-19T19:25:12.268094Z", - "iopub.status.idle": "2024-06-19T19:25:21.221848Z", - "shell.execute_reply": "2024-06-19T19:25:21.221207Z" + "iopub.execute_input": "2024-06-25T15:11:13.780778Z", + "iopub.status.busy": "2024-06-25T15:11:13.780480Z", + "iopub.status.idle": "2024-06-25T15:11:22.781293Z", + "shell.execute_reply": "2024-06-25T15:11:22.780651Z" } }, "outputs": [], @@ -386,10 +378,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.224443Z", - "iopub.status.busy": "2024-06-19T19:25:21.224239Z", - "iopub.status.idle": "2024-06-19T19:25:21.229958Z", - "shell.execute_reply": "2024-06-19T19:25:21.229399Z" + "iopub.execute_input": "2024-06-25T15:11:22.784081Z", + "iopub.status.busy": "2024-06-25T15:11:22.783689Z", + "iopub.status.idle": "2024-06-25T15:11:22.789584Z", + "shell.execute_reply": "2024-06-25T15:11:22.789006Z" }, "nbsphinx": "hidden" }, @@ -429,10 +421,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.232073Z", - "iopub.status.busy": "2024-06-19T19:25:21.231743Z", - "iopub.status.idle": "2024-06-19T19:25:21.588833Z", - "shell.execute_reply": "2024-06-19T19:25:21.588318Z" + "iopub.execute_input": "2024-06-25T15:11:22.791718Z", + "iopub.status.busy": "2024-06-25T15:11:22.791435Z", + "iopub.status.idle": "2024-06-25T15:11:23.158255Z", + "shell.execute_reply": "2024-06-25T15:11:23.157611Z" } }, "outputs": [], @@ -469,10 +461,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.591367Z", - "iopub.status.busy": "2024-06-19T19:25:21.591001Z", - "iopub.status.idle": "2024-06-19T19:25:21.595636Z", - "shell.execute_reply": "2024-06-19T19:25:21.595165Z" + "iopub.execute_input": "2024-06-25T15:11:23.160978Z", + "iopub.status.busy": "2024-06-25T15:11:23.160622Z", + "iopub.status.idle": "2024-06-25T15:11:23.165103Z", + "shell.execute_reply": "2024-06-25T15:11:23.164546Z" } }, "outputs": [ @@ -544,10 +536,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.597855Z", - "iopub.status.busy": "2024-06-19T19:25:21.597528Z", - "iopub.status.idle": "2024-06-19T19:25:24.308109Z", - "shell.execute_reply": "2024-06-19T19:25:24.307365Z" + "iopub.execute_input": "2024-06-25T15:11:23.167082Z", + "iopub.status.busy": "2024-06-25T15:11:23.166903Z", + "iopub.status.idle": "2024-06-25T15:11:25.807866Z", + "shell.execute_reply": "2024-06-25T15:11:25.807169Z" } }, "outputs": [], @@ -569,10 +561,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.311307Z", - "iopub.status.busy": "2024-06-19T19:25:24.310534Z", - "iopub.status.idle": "2024-06-19T19:25:24.314791Z", - "shell.execute_reply": "2024-06-19T19:25:24.314231Z" + "iopub.execute_input": "2024-06-25T15:11:25.810816Z", + "iopub.status.busy": "2024-06-25T15:11:25.810265Z", + "iopub.status.idle": "2024-06-25T15:11:25.814390Z", + "shell.execute_reply": "2024-06-25T15:11:25.813844Z" } }, "outputs": [ @@ -608,10 +600,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.317102Z", - "iopub.status.busy": "2024-06-19T19:25:24.316721Z", - "iopub.status.idle": "2024-06-19T19:25:24.322157Z", - "shell.execute_reply": "2024-06-19T19:25:24.321609Z" + "iopub.execute_input": "2024-06-25T15:11:25.816460Z", + "iopub.status.busy": "2024-06-25T15:11:25.816134Z", + "iopub.status.idle": "2024-06-25T15:11:25.825923Z", + "shell.execute_reply": "2024-06-25T15:11:25.825448Z" } }, "outputs": [ @@ -789,10 +781,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.324400Z", - "iopub.status.busy": "2024-06-19T19:25:24.324051Z", - "iopub.status.idle": "2024-06-19T19:25:24.350801Z", - "shell.execute_reply": "2024-06-19T19:25:24.350207Z" + "iopub.execute_input": "2024-06-25T15:11:25.828061Z", + "iopub.status.busy": "2024-06-25T15:11:25.827881Z", + "iopub.status.idle": "2024-06-25T15:11:25.855389Z", + "shell.execute_reply": "2024-06-25T15:11:25.854872Z" } }, "outputs": [ @@ -894,10 +886,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.353082Z", - "iopub.status.busy": "2024-06-19T19:25:24.352886Z", - "iopub.status.idle": "2024-06-19T19:25:24.358648Z", - "shell.execute_reply": "2024-06-19T19:25:24.358046Z" + "iopub.execute_input": "2024-06-25T15:11:25.857590Z", + "iopub.status.busy": "2024-06-25T15:11:25.857393Z", + "iopub.status.idle": "2024-06-25T15:11:25.862898Z", + "shell.execute_reply": "2024-06-25T15:11:25.862402Z" } }, "outputs": [ @@ -971,10 +963,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.361008Z", - "iopub.status.busy": "2024-06-19T19:25:24.360612Z", - "iopub.status.idle": "2024-06-19T19:25:25.829277Z", - "shell.execute_reply": "2024-06-19T19:25:25.828716Z" + "iopub.execute_input": "2024-06-25T15:11:25.864896Z", + "iopub.status.busy": "2024-06-25T15:11:25.864699Z", + "iopub.status.idle": "2024-06-25T15:11:27.322386Z", + "shell.execute_reply": "2024-06-25T15:11:27.321860Z" } }, "outputs": [ @@ -1146,10 +1138,10 @@ "id": "a18795eb", 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Source code for cleanlab.datalab.internal.issue_manager.data_valuation

< from cleanlab.data_valuation import data_shapley_knn from cleanlab.datalab.internal.issue_manager import IssueManager -from cleanlab.internal.neighbor.knn_graph import create_knn_graph_and_index +from cleanlab.datalab.internal.issue_manager.knn_graph_helpers import ( + num_neighbors_in_knn_graph, + set_knn_graph, +) if TYPE_CHECKING: # pragma: no cover import numpy.typing as npt @@ -728,10 +731,6 @@

Source code for cleanlab.datalab.internal.issue_manager.data_valuation

< knn_graph : csr_matrix A sparse matrix representing the knn graph. """ - self.k = kwargs.get("k", self.k) - knn_graph = self._process_knn_graph_from_inputs(kwargs) - old_knn_metric = self.datalab.get_info("statistics").get("knn_metric") - metric_changes = self.metric and self.metric != old_knn_metric labels = self.datalab.labels if not isinstance(labels, np.ndarray): error_msg = ( @@ -739,11 +738,22 @@

Source code for cleanlab.datalab.internal.issue_manager.data_valuation

< f"but got {type(labels)} instead." ) raise TypeError(error_msg) - if knn_graph is None or metric_changes: - knn_graph, knn = create_knn_graph_and_index( - features, n_neighbors=self.k, metric=self.metric + + knn_graph, self.metric = set_knn_graph( + features=features, + find_issues_kwargs=kwargs, + metric=self.metric, + k=self.k, + statistics=self.datalab.get_info("statistics"), + ) + + # TODO: Check self.k against user-provided knn-graphs across all issue managers + num_neighbors = num_neighbors_in_knn_graph(knn_graph) + if self.k > num_neighbors: + raise ValueError( + f"The provided knn graph has {num_neighbors} neighbors, which is less than the required {self.k} neighbors. " + "Please ensure that the knn graph you provide has at least as many neighbors as the required value of k." ) - self.metric = knn.metric scores = data_shapley_knn(labels, knn_graph=knn_graph, k=self.k) @@ -757,24 +767,6 @@

Source code for cleanlab.datalab.internal.issue_manager.data_valuation

< self.info = self.collect_info(issues=self.issues, knn_graph=knn_graph) - def _process_knn_graph_from_inputs(self, kwargs: Dict[str, Any]) -> Union[csr_matrix, None]: - """Determine if a knn_graph is provided in the kwargs or if one is already stored in the associated Datalab instance.""" - knn_graph_kwargs: Optional[csr_matrix] = kwargs.get("knn_graph", None) - knn_graph_stats = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - knn_graph: Optional[csr_matrix] = None - if knn_graph_kwargs is not None: - knn_graph = knn_graph_kwargs - elif knn_graph_stats is not None: - knn_graph = knn_graph_stats - - if isinstance(knn_graph, csr_matrix) and self.k > (knn_graph.nnz // knn_graph.shape[0]): - self.k = knn_graph.nnz // knn_graph.shape[0] - Warning( - f"k is larger than the number of neighbors in the knn graph. Using k={self.k} instead." - ) - return knn_graph -
[docs] def collect_info(self, issues: pd.DataFrame, knn_graph: csr_matrix) -> dict: issues_info = { "num_low_valuation_issues": sum(issues[f"is_{self.issue_name}_issue"]), diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html b/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html index 12d251a39..9c83b1d1b 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html @@ -629,7 +629,7 @@

Source code for cleanlab.datalab.internal.issue_manager.duplicate

from cleanlab.datalab.internal.issue_manager import IssueManager -from cleanlab.internal.neighbor.knn_graph import create_knn_graph_and_index +from cleanlab.datalab.internal.issue_manager.knn_graph_helpers import set_knn_graph from cleanlab.internal.constants import EPSILON if TYPE_CHECKING: # pragma: no cover @@ -674,15 +674,14 @@

Source code for cleanlab.datalab.internal.issue_manager.duplicate

features: Optional[npt.NDArray] = None, **kwargs, ) -> None: - knn_graph = self._process_knn_graph_from_inputs(kwargs) - old_knn_metric = self.datalab.get_info("statistics").get("knn_metric") - metric_changes = self.metric and self.metric != old_knn_metric + knn_graph, self.metric = set_knn_graph( + features=features, + find_issues_kwargs=kwargs, + metric=self.metric, + k=self.k, + statistics=self.datalab.get_info("statistics"), + ) - if knn_graph is None or metric_changes: - knn_graph, knn = create_knn_graph_and_index( - features, n_neighbors=self.k, metric=self.metric - ) - self.metric = knn.metric N = knn_graph.shape[0] nn_distances = knn_graph.data.reshape(N, -1)[:, 0] median_nn_distance = max(np.median(nn_distances), EPSILON) # avoid threshold = 0 @@ -740,25 +739,6 @@

Source code for cleanlab.datalab.internal.issue_manager.duplicate

return near_duplicate_sets - def _process_knn_graph_from_inputs(self, kwargs: Dict[str, Any]) -> Union[csr_matrix, None]: - """Determine if a knn_graph is provided in the kwargs or if one is already stored in the associated Datalab instance.""" - knn_graph_kwargs: Optional[csr_matrix] = kwargs.get("knn_graph", None) - knn_graph_stats = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - knn_graph: Optional[csr_matrix] = None - if knn_graph_kwargs is not None: - knn_graph = knn_graph_kwargs - elif knn_graph_stats is not None: - knn_graph = knn_graph_stats - - if isinstance(knn_graph, csr_matrix) and kwargs.get("k", 0) > ( - knn_graph.nnz // knn_graph.shape[0] - ): - # If the provided knn graph is insufficient, then we need to recompute the knn graph - # with the provided features - knn_graph = None - return knn_graph -
[docs] def collect_info(self, knn_graph: csr_matrix, median_nn_distance: float) -> dict: issues_dict = { "average_near_duplicate_score": self.issues[self.issue_score_key].mean(), diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html index e5db4008f..c69291f27 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html @@ -614,7 +614,7 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

from scipy.sparse import csr_matrix from cleanlab.datalab.internal.issue_manager import IssueManager -from cleanlab.internal.neighbor.knn_graph import create_knn_graph_and_index +from cleanlab.datalab.internal.issue_manager.knn_graph_helpers import knn_exists, set_knn_graph if TYPE_CHECKING: # pragma: no cover import numpy.typing as npt @@ -731,12 +731,13 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

self._skip_storing_knn_graph_for_pred_probs: bool = False @staticmethod - def _determine_features( + def _determine_optional_features( features: Optional[npt.NDArray], pred_probs: Optional[np.ndarray], - ) -> npt.NDArray: + ) -> Optional[npt.NDArray]: """ - Determines the feature array to be used for the non-IID check. Prioritizing the original features array over pred_probs. + Determines the feature array to be used for constructing a knn-graph. Prioritizing the original features array over pred_probs. + If neither are provided, returns None. Parameters ---------- @@ -750,12 +751,12 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

------- features_to_use : Either the original feature array or the predicted probabilities array, - intended to be used for the non-IID check. + intended for constructing the knn-graph. - Raises - ------ - ValueError : - If both `features` and `pred_probs` are None. + Notes + ----- + A knn-graph constructed from predicted probabilities should not be stored in the statistics. But this kind + of knn-graph is allowed for the purpose of running a non-IID check. """ if features is not None: return features @@ -763,9 +764,7 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

if pred_probs is not None: return pred_probs - raise ValueError( - "If a knn_graph is not provided, either 'features' or 'pred_probs' must be provided to fit a new knn." - ) + return None
[docs] def find_issues( self, @@ -773,19 +772,21 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

pred_probs: Optional[np.ndarray] = None, **kwargs, ) -> None: - knn_graph = self._process_knn_graph_from_inputs(kwargs) - old_knn_metric = self.datalab.get_info("statistics").get("knn_metric") - metric_changes = bool(self.metric and self.metric != old_knn_metric) + statistics = self.datalab.get_info("statistics") - if knn_graph is None or metric_changes: - if features is None and pred_probs is not None: - self._skip_storing_knn_graph_for_pred_probs = True + # Crucial when building knn graphs with pred_probs instead of features, where only the + # latter is preferred for storage. + self._determine_if_knn_graph_storage_should_be_skipped( + features, pred_probs, kwargs, statistics, self.k + ) - features_to_use = self._determine_features(features, pred_probs) - knn_graph, knn = create_knn_graph_and_index( - features=features_to_use, n_neighbors=self.k, metric=self.metric - ) - self.metric = knn.metric # Update the metric to the one used in the KNN object. + knn_graph, self.metric = set_knn_graph( + features=self._determine_optional_features(features, pred_probs), + find_issues_kwargs=kwargs, + metric=self.metric, + k=self.k, + statistics=statistics, + ) self.neighbor_index_choices = self._get_neighbors(knn_graph=knn_graph) @@ -813,27 +814,20 @@

Source code for cleanlab.datalab.internal.issue_manager.noniid

self.info = self.collect_info(knn_graph=knn_graph)
- def _process_knn_graph_from_inputs(self, kwargs: Dict[str, Any]) -> Union[csr_matrix, None]: - """Determine if a knn_graph is provided in the kwargs or if one is already stored in the associated Datalab instance.""" - knn_graph_kwargs: Optional[csr_matrix] = kwargs.get("knn_graph", None) - knn_graph_stats = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - knn_graph: Optional[csr_matrix] = None - if knn_graph_kwargs is not None: - knn_graph = knn_graph_kwargs - elif knn_graph_stats is not None: - knn_graph = knn_graph_stats + def _determine_if_knn_graph_storage_should_be_skipped( + self, features, pred_probs, kwargs, statistics, k + ) -> None: + """Decide whether to skip storing the knn graph based on the availability of pred_probs. - need_to_recompute_knn = isinstance(knn_graph, csr_matrix) and ( - kwargs.get("k", 0) > knn_graph.nnz // knn_graph.shape[0] - or self.k > knn_graph.nnz // knn_graph.shape[0] + Should only happend when a new knn graph needs to be computed, and that it + can only be computed from pred_probs. + """ + sufficient_knn_graph_available = knn_exists(kwargs, statistics, k) + pred_probs_needed = ( + not sufficient_knn_graph_available and features is None and pred_probs is not None ) - - if need_to_recompute_knn: - # If the provided knn graph is insufficient, then we need to recompute the knn graph - # with the provided features - knn_graph = None - return knn_graph + if pred_probs_needed: + self._skip_storing_knn_graph_for_pred_probs = True
[docs] def collect_info(self, knn_graph: csr_matrix) -> dict: issues_dict = { diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/outlier.html b/master/_modules/cleanlab/datalab/internal/issue_manager/outlier.html index 1ca6d5d63..1603d2140 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager/outlier.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager/outlier.html @@ -620,7 +620,7 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

# along with cleanlab. If not, see <https://www.gnu.org/licenses/>. from __future__ import annotations -from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Tuple, Union, cast +from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Tuple from scipy.sparse import csr_matrix from scipy.stats import iqr @@ -628,13 +628,14 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

import pandas as pd from cleanlab.datalab.internal.issue_manager import IssueManager -from cleanlab.internal.neighbor.knn_graph import construct_knn_graph_from_index +from cleanlab.datalab.internal.issue_manager.knn_graph_helpers import knn_exists, set_knn_graph +from cleanlab.internal.outlier import correct_precision_errors from cleanlab.outlier import OutOfDistribution, transform_distances_to_scores if TYPE_CHECKING: # pragma: no cover import numpy.typing as npt - from sklearn.neighbors import NearestNeighbors from cleanlab.datalab.datalab import Datalab + from cleanlab.typing import Metric
[docs]class OutlierIssueManager(IssueManager): @@ -671,6 +672,9 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

def __init__( self, datalab: Datalab, + k: int = 10, + t: int = 1, + metric: Optional[Metric] = None, threshold: Optional[float] = None, **kwargs, ): @@ -685,73 +689,80 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

if value is not None } + # Simplified API: directly specify k and metric instead of NearestNeighbors object + # This reduces dependency on OutOfDistribution and aligns with Datalab's approach + params["k"] = k + self.k = k + self.t = t + self.metric: Optional[Metric] = metric + if params: ood_kwargs["params"] = params + # OutOfDistribution still used for pred-prob based outlier detection self.ood: OutOfDistribution = OutOfDistribution(**ood_kwargs) - self.threshold = threshold - self._embeddings: Optional[np.ndarray] = None - self._metric: str = None # type: ignore self._find_issues_inputs: Dict[str, bool] = { "features": False, "pred_probs": False, "knn_graph": False, } + # Used for both methods of outlier detection + self.threshold = threshold +
[docs] def find_issues( self, features: Optional[npt.NDArray] = None, pred_probs: Optional[np.ndarray] = None, **kwargs, ) -> None: - knn_graph = self._process_knn_graph_from_inputs(kwargs) - distances: Optional[np.ndarray] = None + statistics = self.datalab.get_info("statistics") + + # Determine if we can use kNN-based outlier detection + knn_graph_works: bool = self._knn_graph_works(features, kwargs, statistics, self.k) + knn_graph = None + if knn_graph_works: + # Set up or retrieve the kNN graph + knn_graph, self.metric = set_knn_graph( + features=features, + find_issues_kwargs=kwargs, + metric=self.metric, + k=self.k, + statistics=statistics, + ) - if knn_graph is not None: - N = knn_graph.shape[0] - k = knn_graph.nnz // N - t = cast(int, self.ood.params["t"]) - distances = knn_graph.data.reshape(-1, k) + # Compute distances and thresholds for outlier detection + distances = knn_graph.data.reshape(knn_graph.shape[0], -1) assert isinstance(distances, np.ndarray) + ( + self.threshold, + issue_threshold, # Useful info for detecting issues in test data + is_issue_column, + ) = self._compute_threshold_and_issue_column_from_distances(distances, self.threshold) + + # Calculate outlier scores based on average distances avg_distances = distances.mean(axis=1) median_avg_distance = np.median(avg_distances) self._find_issues_inputs.update({"knn_graph": True}) + + # Ensure scaling factor is not too small to avoid numerical issues + scaling_factor = float(max(median_avg_distance, 100 * np.finfo(np.float_).eps)) scores = transform_distances_to_scores( - avg_distances, t=t, scaling_factor=median_avg_distance + avg_distances, t=self.t, scaling_factor=scaling_factor ) - elif features is not None: - scores = self._score_with_features(features, **kwargs) - self._find_issues_inputs.update({"features": True}) + + # Apply precision error correction if metric is available + _metric = self.metric + if _metric is not None: + _metric = _metric if isinstance(_metric, str) else _metric.__name__ + scores = correct_precision_errors(scores, avg_distances, _metric) elif pred_probs is not None: + # Fallback to prediction probabilities-based outlier detection scores = self._score_with_pred_probs(pred_probs, **kwargs) self._find_issues_inputs.update({"pred_probs": True}) - else: - if kwargs.get("knn_graph", None) is not None: - raise ValueError( - "knn_graph is provided, but not sufficiently large to compute the scores based on the provided hyperparameters." - ) - raise ValueError(f"Either features pred_probs must be provided.") - - if features is not None or knn_graph is not None: - if knn_graph is None: - assert ( - features is not None - ), "features must be provided so that we can compute the knn graph." - knn_graph = self._process_knn_graph_from_features(features, kwargs) - distances = knn_graph.data.reshape(knn_graph.shape[0], -1) - - assert isinstance(distances, np.ndarray) - ( - self.threshold, - issue_threshold, # Useful info for detecting issues in test data - is_issue_column, - ) = self._compute_threshold_and_issue_column_from_distances(distances, self.threshold) - - else: - assert pred_probs is not None - # Threshold based on pred_probs, very small scores are outliers + # Set threshold for pred_probs-based detection if self.threshold is None: self.threshold = self.DEFAULT_THRESHOLDS["pred_probs"] if not 0 <= self.threshold: @@ -761,6 +772,18 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

) # Useful info for detecting issues in test data is_issue_column = scores < issue_threshold + else: + # Handle case where neither kNN nor pred_probs-based detection is possible + if ( + kwargs.get("knn_graph", None) is not None + or statistics.get("weighted_knn_graph", None) is not None + ): + raise ValueError( + "knn_graph is provided, but not sufficiently large to compute the scores based on the provided hyperparameters." + ) + raise ValueError(f"Either features pred_probs must be provided.") + + # Store results self.issues = pd.DataFrame( { f"is_{self.issue_name}_issue": is_issue_column, @@ -772,24 +795,10 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

self.info = self.collect_info(issue_threshold=issue_threshold, knn_graph=knn_graph)
- def _process_knn_graph_from_inputs(self, kwargs: Dict[str, Any]) -> Union[csr_matrix, None]: - """Determine if a knn_graph is provided in the kwargs or if one is already stored in the associated Datalab instance.""" - knn_graph_kwargs: Optional[csr_matrix] = kwargs.get("knn_graph", None) - knn_graph_stats = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - knn_graph: Optional[csr_matrix] = None - if knn_graph_kwargs is not None: - knn_graph = knn_graph_kwargs - elif knn_graph_stats is not None: - knn_graph = knn_graph_stats - - if isinstance(knn_graph, csr_matrix) and kwargs.get("k", 0) > ( - knn_graph.nnz // knn_graph.shape[0] - ): - # If the provided knn graph is insufficient, then we need to recompute the knn graph - # with the provided features - knn_graph = None - return knn_graph + def _knn_graph_works(self, features, kwargs, statistics, k: int) -> bool: + """Decide whether to skip the knn-based outlier detection and rely on pred_probs instead.""" + sufficient_knn_graph_available = knn_exists(kwargs, statistics, k) + return (features is not None) or sufficient_knn_graph_available def _compute_threshold_and_issue_column_from_distances( self, distances: np.ndarray, threshold: Optional[float] = None @@ -812,30 +821,11 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

issue_threshold = compute_issue_threshold(avg_distances, threshold) return threshold, issue_threshold, avg_distances > issue_threshold - def _process_knn_graph_from_features(self, features: np.ndarray, kwargs: Dict) -> csr_matrix: - # Check if the weighted knn graph exists in info - knn_graph = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - # Used to check if the knn graph needs to be recomputed, already set in the knn object - k: int = 0 - if knn_graph is not None: - k = knn_graph.nnz // knn_graph.shape[0] - - knn: NearestNeighbors = self.ood.params["knn"] # type: ignore - if kwargs.get("knn", None) is not None or knn.n_neighbors > k: # type: ignore[union-attr] - # If the pre-existing knn graph has fewer neighbors than the knn object, - # then we need to recompute the knn graph - assert knn == self.ood.params["knn"] # type: ignore[union-attr] - knn_graph = construct_knn_graph_from_index(knn, correction_features=features) - self._metric = knn.metric # type: ignore[union-attr] - - return knn_graph -
[docs] def collect_info( self, *, issue_threshold: float, - knn_graph: Optional[csr_matrix] = None, + knn_graph: Optional[csr_matrix], ) -> dict: issues_dict = { "average_ood_score": self.issues[self.issue_score_key].mean(), @@ -846,7 +836,6 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

feature_issues_dict = {} if knn_graph is not None: - knn = self.ood.params["knn"] # type: ignore N = knn_graph.shape[0] k = knn_graph.nnz // N dists = knn_graph.data.reshape(N, -1)[:, 0] @@ -854,14 +843,13 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

feature_issues_dict.update( { - "k": k, # type: ignore[union-attr] + "k": self.k, # type: ignore[union-attr] "nearest_neighbor": nn_ids.tolist(), "distance_to_nearest_neighbor": dists.tolist(), + "metric": self.metric, # type: ignore[union-attr] + "t": self.t, } ) - if self.ood.params["knn"] is not None: - knn = self.ood.params["knn"] - feature_issues_dict.update({"metric": knn.metric}) # type: ignore[union-attr] if self.ood.params["confident_thresholds"] is not None: pass # @@ -895,13 +883,13 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

prefer_new_graph = ( not old_graph_exists or (isinstance(knn_graph, csr_matrix) and knn_graph.nnz > old_knn_graph.nnz) - or self._metric != self.datalab.get_info("statistics").get("knn_metric", None) + or self.metric != self.datalab.get_info("statistics").get("knn_metric", None) ) if prefer_new_graph: if knn_graph is not None: statistics_dict["statistics"][graph_key] = knn_graph - if self._metric is not None: - statistics_dict["statistics"]["knn_metric"] = self._metric + if self.metric is not None: + statistics_dict["statistics"]["knn_metric"] = self.metric return statistics_dict @@ -916,10 +904,6 @@

Source code for cleanlab.datalab.internal.issue_manager.outlier

) raise TypeError(error_msg) scores = self.ood.fit_score(pred_probs=pred_probs, labels=labels, **kwargs) - return scores - - def _score_with_features(self, features: npt.NDArray, **kwargs) -> npt.NDArray: - scores = self.ood.fit_score(features=features) return scores
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/underperforming_group.html b/master/_modules/cleanlab/datalab/internal/issue_manager/underperforming_group.html index bb5d5cef5..045e00382 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager/underperforming_group.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager/underperforming_group.html @@ -630,7 +630,7 @@

Source code for cleanlab.datalab.internal.issue_manager.underperforming_grou from sklearn.cluster import DBSCAN from cleanlab.datalab.internal.issue_manager import IssueManager -from cleanlab.internal.neighbor.knn_graph import create_knn_graph_and_index +from cleanlab.datalab.internal.issue_manager.knn_graph_helpers import set_knn_graph from cleanlab.rank import get_self_confidence_for_each_label if TYPE_CHECKING: # pragma: no cover @@ -711,7 +711,10 @@

Source code for cleanlab.datalab.internal.issue_manager.underperforming_grou ) raise TypeError(error_msg) if cluster_ids is None: - knn_graph = self.set_knn_graph(features, kwargs) + statistics = self.datalab.get_info("statistics") + knn_graph, self.metric = set_knn_graph( + features, kwargs, self.metric, self.k, statistics + ) cluster_ids = self.perform_clustering(knn_graph) performed_clustering = True else: @@ -747,20 +750,6 @@

Source code for cleanlab.datalab.internal.issue_manager.underperforming_grou worst_cluster_id=worst_cluster_id, )

-
[docs] def set_knn_graph( - self, features: Optional[npt.NDArray], find_issues_kwargs: Dict[str, Any] - ) -> csr_matrix: - knn_graph = self._process_knn_graph_from_inputs(find_issues_kwargs) - old_knn_metric = self.datalab.get_info("statistics").get("knn_metric") - metric_changes = self.metric and self.metric != old_knn_metric - - if knn_graph is None or metric_changes: - knn_graph, knn = create_knn_graph_and_index( - features, n_neighbors=self.k, metric=self.metric - ) - self.metric = knn.metric - return knn_graph
-
[docs] def perform_clustering(self, knn_graph: csr_matrix) -> npt.NDArray[np.int_]: """Perform clustering of datapoints using a knn graph as distance matrix. @@ -847,26 +836,6 @@

Source code for cleanlab.datalab.internal.issue_manager.underperforming_grou ) return worst_cluster_id, worst_cluster_ratio

- def _process_knn_graph_from_inputs(self, kwargs: Dict[str, Any]) -> Union[csr_matrix, None]: - """Determine if a knn_graph is provided in the kwargs or if one is already stored in the associated Datalab instance.""" - knn_graph_kwargs: Optional[csr_matrix] = kwargs.get("knn_graph", None) - knn_graph_stats = self.datalab.get_info("statistics").get("weighted_knn_graph", None) - - knn_graph: Optional[csr_matrix] = None - if knn_graph_kwargs is not None: - knn_graph = knn_graph_kwargs - elif knn_graph_stats is not None: - knn_graph = knn_graph_stats - - if isinstance(knn_graph, csr_matrix) and kwargs.get("k", 0) > ( - knn_graph.nnz // knn_graph.shape[0] - ): - # If the provided knn graph is insufficient, then we need to recompute the knn graph - # with the provided features - knn_graph = None - - return knn_graph -
[docs] def collect_info( self, knn_graph: csr_matrix, diff --git a/master/_sources/tutorials/clean_learning/tabular.ipynb b/master/_sources/tutorials/clean_learning/tabular.ipynb index df4ab143f..0883e728b 100644 --- a/master/_sources/tutorials/clean_learning/tabular.ipynb +++ b/master/_sources/tutorials/clean_learning/tabular.ipynb @@ -120,7 +120,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 42d1182e7..c075c72cb 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 dc8c374ba..45c649c22 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 c44b4dae1..823bcaf4c 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 e80628e4e..f23911619 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 4e5fb9450..a9c21b730 100644 --- a/master/_sources/tutorials/datalab/tabular.ipynb +++ b/master/_sources/tutorials/datalab/tabular.ipynb @@ -80,7 +80,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 cb7e222d1..4b75adbd7 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 03afac7ae..97638ce93 100644 --- a/master/_sources/tutorials/dataset_health.ipynb +++ b/master/_sources/tutorials/dataset_health.ipynb @@ -79,7 +79,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 266f9cef5..8eb969c1f 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 e749ec9b7..6c931d1c9 100644 --- a/master/_sources/tutorials/multiannotator.ipynb +++ b/master/_sources/tutorials/multiannotator.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 0ab6fa0b3..484d7738d 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 d4e641d64..ca9448ceb 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 93db3c181..2bf76bd81 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 c62867dae..db2048b88 100644 --- a/master/_sources/tutorials/regression.ipynb +++ b/master/_sources/tutorials/regression.ipynb @@ -110,7 +110,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 2f7f87697..7527d7971 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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 e053b58c1..f27a88b47 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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/cleanlab/datalab/internal/issue_manager/index.html b/master/cleanlab/datalab/internal/issue_manager/index.html index eddfe2e3e..1d25d2031 100644 --- a/master/cleanlab/datalab/internal/issue_manager/index.html +++ b/master/cleanlab/datalab/internal/issue_manager/index.html @@ -665,6 +665,7 @@

Registered issue managersOutlierIssueManager.issue_name
  • OutlierIssueManager.verbosity_levels
  • OutlierIssueManager.DEFAULT_THRESHOLDS
    • +
  • OutlierIssueManager.metric
  • OutlierIssueManager.ood
  • OutlierIssueManager.find_issues()
  • OutlierIssueManager.collect_info()
    • @@ -739,7 +740,6 @@

    Registered issue managersUnderperformingGroupIssueManager.OUTLIER_CLUSTER_LABELS
  • UnderperformingGroupIssueManager.NO_UNDERPERFORMING_CLUSTER_ID
  • UnderperformingGroupIssueManager.find_issues()
    • -
  • UnderperformingGroupIssueManager.set_knn_graph()
  • UnderperformingGroupIssueManager.perform_clustering()
  • UnderperformingGroupIssueManager.filter_cluster_ids()
  • UnderperformingGroupIssueManager.get_worst_cluster()
    • diff --git a/master/cleanlab/datalab/internal/issue_manager/outlier.html b/master/cleanlab/datalab/internal/issue_manager/outlier.html index 9b438bf5e..ee069eba0 100644 --- a/master/cleanlab/datalab/internal/issue_manager/outlier.html +++ b/master/cleanlab/datalab/internal/issue_manager/outlier.html @@ -618,7 +618,7 @@
    - + @@ -626,7 +626,7 @@
    -class cleanlab.datalab.internal.issue_manager.outlier.OutlierIssueManager(datalab, threshold=None, **kwargs)[source]#
    +class cleanlab.datalab.internal.issue_manager.outlier.OutlierIssueManager(datalab, k=10, t=1, metric=None, threshold=None, **kwargs)[source]#

    Bases: IssueManager

    Manages issues related to out-of-distribution examples.

    Attributes:

    @@ -667,7 +667,7 @@
    - + @@ -722,6 +722,11 @@ considered an outlier.

    +
    +
    +metric: Optional[Metric]#
    +
    +
    ood: OutOfDistribution#
    @@ -741,7 +746,7 @@
    -collect_info(*, issue_threshold, knn_graph=None)[source]#
    +collect_info(*, issue_threshold, knn_graph)[source]#

    Collects data for the info attribute of the Datalab. :rtype: dict

    @@ -927,6 +932,7 @@
  • OutlierIssueManager.issue_name
  • OutlierIssueManager.verbosity_levels
  • OutlierIssueManager.DEFAULT_THRESHOLDS
    • +
  • OutlierIssueManager.metric
  • OutlierIssueManager.ood
  • OutlierIssueManager.find_issues()
  • OutlierIssueManager.collect_info()
    • diff --git a/master/cleanlab/datalab/internal/issue_manager/underperforming_group.html b/master/cleanlab/datalab/internal/issue_manager/underperforming_group.html index a24f8ab16..f13287697 100644 --- a/master/cleanlab/datalab/internal/issue_manager/underperforming_group.html +++ b/master/cleanlab/datalab/internal/issue_manager/underperforming_group.html @@ -684,30 +684,22 @@

    underperforming_group

    - - - - + - + - + - + - + - + @@ -768,16 +760,6 @@

    underperforming_group -
    -
    -set_knn_graph(features, find_issues_kwargs)[source]#
    -
    -
    Return type:
    -

    csr_matrix

    -
    -
    -
    -
    perform_clustering(knn_graph)[source]#
    @@ -1024,7 +1006,6 @@

    underperforming_groupUnderperformingGroupIssueManager.OUTLIER_CLUSTER_LABELS
  • UnderperformingGroupIssueManager.NO_UNDERPERFORMING_CLUSTER_ID
  • UnderperformingGroupIssueManager.find_issues()
    • -
  • UnderperformingGroupIssueManager.set_knn_graph()
  • UnderperformingGroupIssueManager.perform_clustering()
  • UnderperformingGroupIssueManager.filter_cluster_ids()
  • UnderperformingGroupIssueManager.get_worst_cluster()
    • diff --git a/master/genindex.html b/master/genindex.html index cab29028e..4e59ae740 100644 --- a/master/genindex.html +++ b/master/genindex.html @@ -2115,6 +2115,8 @@

    M

  • mapping() (in module cleanlab.internal.token_classification_utils)
  • merge_probs() (in module cleanlab.internal.token_classification_utils) +
    • +
  • metric (cleanlab.datalab.internal.issue_manager.outlier.OutlierIssueManager attribute)
  • ModelOutput (class in cleanlab.datalab.internal.model_outputs)
    • @@ -2616,8 +2618,6 @@

    S

  • set_health_score() (cleanlab.datalab.internal.data_issues.DataIssues method) -
    • -
  • set_knn_graph() (cleanlab.datalab.internal.issue_manager.underperforming_group.UnderperformingGroupIssueManager method)
  • set_params() (cleanlab.classification.CleanLearning method) diff --git a/master/objects.inv b/master/objects.inv index 305a02320..fec4fd240 100644 Binary files a/master/objects.inv and b/master/objects.inv differ diff --git a/master/searchindex.js b/master/searchindex.js index 5c11d6388..1ede528b2 100644 --- a/master/searchindex.js +++ b/master/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["cleanlab/benchmarking/index", "cleanlab/benchmarking/noise_generation", "cleanlab/classification", "cleanlab/count", "cleanlab/data_valuation", "cleanlab/datalab/datalab", "cleanlab/datalab/guide/_templates/issue_types_tip", "cleanlab/datalab/guide/custom_issue_manager", "cleanlab/datalab/guide/generating_cluster_ids", "cleanlab/datalab/guide/index", "cleanlab/datalab/guide/issue_type_description", "cleanlab/datalab/guide/table", "cleanlab/datalab/index", "cleanlab/datalab/internal/data", "cleanlab/datalab/internal/data_issues", "cleanlab/datalab/internal/factory", 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Install required dependencies": [[87, "1.-Install-required-dependencies"], [88, "1.-Install-required-dependencies"], [95, "1.-Install-required-dependencies"], [96, "1.-Install-required-dependencies"], [107, "1.-Install-required-dependencies"]], "2. Load and process the data": [[87, "2.-Load-and-process-the-data"], [95, "2.-Load-and-process-the-data"], [107, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[87, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [95, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[87, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[87, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[88, "Text-Classification-with-Noisy-Labels"]], "2. Load and format the text dataset": [[88, "2.-Load-and-format-the-text-dataset"], [96, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and use cleanlab to find potential label errors": [[88, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[88, "4.-Train-a-more-robust-model-from-noisy-labels"], [107, "4.-Train-a-more-robust-model-from-noisy-labels"]], "Detecting Issues in an Audio Dataset with Datalab": [[89, "Detecting-Issues-in-an-Audio-Dataset-with-Datalab"]], "1. Install dependencies and import them": [[89, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[89, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[89, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[89, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[89, "5.-Use-cleanlab-to-find-label-issues"], [95, "5.-Use-cleanlab-to-find-label-issues"]], "DataMonitor: Leverage statistics from Datalab to audit new data": [[90, "DataMonitor:-Leverage-statistics-from-Datalab-to-audit-new-data"]], "1. Install and import required dependencies": [[90, "1.-Install-and-import-required-dependencies"], [92, "1.-Install-and-import-required-dependencies"], [93, "1.-Install-and-import-required-dependencies"], [102, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[90, "2.-Create-and-load-the-data-(can-skip-these-details)"], [92, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[90, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"], [92, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[90, "4.-Use-Datalab-to-find-issues-in-the-dataset"], [92, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. Use DataMonitor to find issues in new data": [[90, "5.-Use-DataMonitor-to-find-issues-in-new-data"]], "6. Learn more about the issues in the additional data": [[90, "6.-Learn-more-about-the-issues-in-the-additional-data"]], "7. Finding outliers in new data": [[90, "7.-Finding-outliers-in-new-data"]], "8. Looking for both label issues and outliers": [[90, "8.-Looking-for-both-label-issues-and-outliers"]], "Datalab: Advanced workflows to audit your data": [[91, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[91, "Install-and-import-required-dependencies"]], "Create and load the data": [[91, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[91, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[91, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[91, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[91, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[91, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[91, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[92, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "5. Learn more about the issues in your dataset": [[92, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[92, "Get-additional-information"]], "Near duplicate issues": [[92, "Near-duplicate-issues"], [93, "Near-duplicate-issues"]], "Detecting Issues in an Image Dataset with Datalab": [[93, "Detecting-Issues-in-an-Image-Dataset-with-Datalab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[93, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[93, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[93, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[93, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[93, "7.-Use-cleanlab-to-find-issues"]], "View report": [[93, "View-report"]], "Label issues": [[93, "Label-issues"], [95, "Label-issues"], [96, "Label-issues"]], "View most likely examples with label errors": [[93, "View-most-likely-examples-with-label-errors"]], "Outlier issues": [[93, "Outlier-issues"], [95, "Outlier-issues"], [96, "Outlier-issues"]], "View most severe outliers": [[93, "View-most-severe-outliers"]], "View sets of near duplicate images": [[93, "View-sets-of-near-duplicate-images"]], "Dark images": [[93, "Dark-images"]], "View top examples of dark images": [[93, "View-top-examples-of-dark-images"]], "Low information images": [[93, "Low-information-images"]], "Datalab Tutorials": [[94, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[95, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "4. Construct K nearest neighbours graph": [[95, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[95, "Near-duplicate-issues"], [96, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[96, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[96, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[96, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[96, "Non-IID-issues-(data-drift)"]], "Miscellaneous workflows with Datalab": [[97, "Miscellaneous-workflows-with-Datalab"]], "Accelerate Issue Checks with Pre-computed kNN Graphs": [[97, "Accelerate-Issue-Checks-with-Pre-computed-kNN-Graphs"]], "1. Load and Prepare Your Dataset": [[97, "1.-Load-and-Prepare-Your-Dataset"]], "2. Compute kNN Graph": [[97, "2.-Compute-kNN-Graph"]], "3. Train a Classifier and Obtain Predicted Probabilities": [[97, "3.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"]], "4. Identify Data Issues Using Datalab": [[97, "4.-Identify-Data-Issues-Using-Datalab"]], "Explanation:": [[97, "Explanation:"]], "Data Valuation": [[97, "Data-Valuation"]], "1. Load and Prepare the Dataset": [[97, "1.-Load-and-Prepare-the-Dataset"], [97, "id2"], [97, "id5"]], "2. Vectorize the Text Data": [[97, "2.-Vectorize-the-Text-Data"]], "3. Perform Data Valuation with Datalab": [[97, "3.-Perform-Data-Valuation-with-Datalab"]], "4. (Optional) Visualize Data Valuation Scores": [[97, "4.-(Optional)-Visualize-Data-Valuation-Scores"]], "Find Underperforming Groups in a Dataset": [[97, "Find-Underperforming-Groups-in-a-Dataset"]], "1. Generate a Synthetic Dataset": [[97, "1.-Generate-a-Synthetic-Dataset"]], "2. Train a Classifier and Obtain Predicted Probabilities": [[97, "2.-Train-a-Classifier-and-Obtain-Predicted-Probabilities"], [97, "id3"]], "3. (Optional) Cluster the Data": [[97, "3.-(Optional)-Cluster-the-Data"]], "4. Identify Underperforming Groups with Datalab": [[97, "4.-Identify-Underperforming-Groups-with-Datalab"], [97, "id4"]], "5. (Optional) Visualize the Results": [[97, "5.-(Optional)-Visualize-the-Results"]], "Predefining Data Slices for Detecting Underperforming Groups": [[97, "Predefining-Data-Slices-for-Detecting-Underperforming-Groups"]], "3. Define a Data Slice": [[97, "3.-Define-a-Data-Slice"]], "Detect if your dataset is non-IID": [[97, "Detect-if-your-dataset-is-non-IID"]], "2. Detect Non-IID Issues Using Datalab": [[97, "2.-Detect-Non-IID-Issues-Using-Datalab"]], "3. (Optional) Visualize the Results": [[97, "3.-(Optional)-Visualize-the-Results"]], "Catch Null Values in a Dataset": [[97, "Catch-Null-Values-in-a-Dataset"]], "1. Load the Dataset": [[97, "1.-Load-the-Dataset"]], "2: Encode Categorical Values": [[97, "2:-Encode-Categorical-Values"]], "3. Initialize Datalab": [[97, "3.-Initialize-Datalab"]], "4. Detect Null Values": [[97, "4.-Detect-Null-Values"]], "5. Sort the Dataset by Null Issues": [[97, "5.-Sort-the-Dataset-by-Null-Issues"]], "6. (Optional) Visualize the Results": [[97, "6.-(Optional)-Visualize-the-Results"]], "Detect class imbalance in your dataset": [[97, "Detect-class-imbalance-in-your-dataset"]], "1. Prepare data": [[97, "1.-Prepare-data"]], "2. Detect class imbalance with Datalab": [[97, "2.-Detect-class-imbalance-with-Datalab"]], "3. (Optional) Visualize class imbalance issues": [[97, "3.-(Optional)-Visualize-class-imbalance-issues"]], "Understanding Dataset-level Labeling Issues": [[98, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[98, "Install-dependencies-and-import-them"], [100, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[98, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[98, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[99, "FAQ"]], "What data can cleanlab detect issues in?": [[99, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[99, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[99, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[99, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[99, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[99, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[99, "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?": [[99, "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?": [[99, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[99, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by Datalab?": [[99, "How-to-handle-near-duplicate-data-identified-by-Datalab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[99, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[99, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[99, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[100, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[100, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[100, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[100, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[100, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[100, "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.": [[100, "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": [[100, "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": [[100, "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!": [[100, "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": [[100, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[100, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[100, "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)": [[100, "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:": [[100, "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": [[100, "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.": [[100, "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.": [[100, "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.": [[100, "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.": [[100, "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?": [[100, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[100, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[101, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[102, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[102, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[102, "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": [[102, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[102, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[102, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[102, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[102, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[102, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[103, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[103, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[103, "2.-Format-data,-labels,-and-model-predictions"], [104, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[103, "3.-Use-cleanlab-to-find-label-issues"], [104, "3.-Use-cleanlab-to-find-label-issues"], [108, "3.-Use-cleanlab-to-find-label-issues"], [109, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[103, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[103, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[103, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[103, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[103, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[104, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[104, "1.-Install-required-dependencies-and-download-data"], [108, "1.-Install-required-dependencies-and-download-data"], [109, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[104, "Get-label-quality-scores"], [108, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[104, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[104, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[104, "Other-uses-of-visualize"]], "Exploratory data analysis": [[104, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[105, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[105, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[105, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[105, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[105, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[105, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[106, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[106, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[106, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[107, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[107, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[107, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[108, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[108, "2.-Get-data,-labels,-and-pred_probs"], [109, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[108, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[108, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[108, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[109, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[109, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[109, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[109, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[109, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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"cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager"]], "cleanlab.datalab.internal.issue_manager.data_valuation": [[19, "module-cleanlab.datalab.internal.issue_manager.data_valuation"]], "collect_info() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[19, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[19, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[19, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[19, 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Install required dependencies": [[87, "1.-Install-required-dependencies"], [88, "1.-Install-required-dependencies"], [94, "1.-Install-required-dependencies"], [95, "1.-Install-required-dependencies"], [106, "1.-Install-required-dependencies"]], "2. Load and process the data": [[87, "2.-Load-and-process-the-data"], [94, "2.-Load-and-process-the-data"], [106, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[87, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [94, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find label issues": [[87, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[87, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[88, "Text-Classification-with-Noisy-Labels"]], "2. 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Fit linear model and compute out-of-sample predicted probabilities": [[89, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[89, "5.-Use-cleanlab-to-find-label-issues"], [94, "5.-Use-cleanlab-to-find-label-issues"]], "Datalab: Advanced workflows to audit your data": [[90, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[90, "Install-and-import-required-dependencies"]], "Create and load the data": [[90, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[90, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[90, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[90, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[90, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[90, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[90, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[91, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "1. 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Construct K nearest neighbours graph": [[94, "4.-Construct-K-nearest-neighbours-graph"]], "Near-duplicate issues": [[94, "Near-duplicate-issues"], [95, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[95, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[95, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[95, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[95, "Non-IID-issues-(data-drift)"]], "Miscellaneous workflows with Datalab": [[96, "Miscellaneous-workflows-with-Datalab"]], "Accelerate Issue Checks with Pre-computed kNN Graphs": [[96, "Accelerate-Issue-Checks-with-Pre-computed-kNN-Graphs"]], "1. Load and Prepare Your Dataset": [[96, "1.-Load-and-Prepare-Your-Dataset"]], "2. Compute kNN Graph": [[96, "2.-Compute-kNN-Graph"]], "3. 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Initialize Datalab": [[96, "3.-Initialize-Datalab"]], "4. Detect Null Values": [[96, "4.-Detect-Null-Values"]], "5. Sort the Dataset by Null Issues": [[96, "5.-Sort-the-Dataset-by-Null-Issues"]], "6. (Optional) Visualize the Results": [[96, "6.-(Optional)-Visualize-the-Results"]], "Detect class imbalance in your dataset": [[96, "Detect-class-imbalance-in-your-dataset"]], "1. Prepare data": [[96, "1.-Prepare-data"]], "2. Detect class imbalance with Datalab": [[96, "2.-Detect-class-imbalance-with-Datalab"]], "3. (Optional) Visualize class imbalance issues": [[96, "3.-(Optional)-Visualize-class-imbalance-issues"]], "Understanding Dataset-level Labeling Issues": [[97, "Understanding-Dataset-level-Labeling-Issues"]], "Install dependencies and import them": [[97, "Install-dependencies-and-import-them"], [99, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[97, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[97, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[98, "FAQ"]], "What data can cleanlab detect issues in?": [[98, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[98, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[98, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[98, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[98, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[98, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[98, "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?": [[98, "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?": [[98, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[98, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by Datalab?": [[98, "How-to-handle-near-duplicate-data-identified-by-Datalab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[98, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[98, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[98, "Can't-find-an-answer-to-your-question?"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[99, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[99, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[99, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[99, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[99, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[99, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[99, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[99, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[99, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[99, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[99, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[99, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[99, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[99, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[99, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[99, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[99, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[99, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[99, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[99, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[100, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[101, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[101, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[101, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[101, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[101, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[101, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[101, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[101, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[101, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[102, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[102, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[102, "2.-Format-data,-labels,-and-model-predictions"], [103, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[102, "3.-Use-cleanlab-to-find-label-issues"], [103, "3.-Use-cleanlab-to-find-label-issues"], [107, "3.-Use-cleanlab-to-find-label-issues"], [108, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[102, "Label-quality-scores"]], "Data issues beyond mislabeling (outliers, duplicates, drift, \u2026)": [[102, "Data-issues-beyond-mislabeling-(outliers,-duplicates,-drift,-...)"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[102, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Estimate label issues without Datalab": [[102, "Estimate-label-issues-without-Datalab"]], "Application to Real Data": [[102, "Application-to-Real-Data"]], "Finding Label Errors in Object Detection Datasets": [[103, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[103, "1.-Install-required-dependencies-and-download-data"], [107, "1.-Install-required-dependencies-and-download-data"], [108, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[103, "Get-label-quality-scores"], [107, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[103, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[103, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[103, "Other-uses-of-visualize"]], "Exploratory data analysis": [[103, "Exploratory-data-analysis"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[104, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[104, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[104, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[104, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[104, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[104, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[105, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[105, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[105, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[106, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[106, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "5. Other ways to find noisy labels in regression datasets": [[106, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[107, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[107, "2.-Get-data,-labels,-and-pred_probs"], [108, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[107, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[107, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[107, "Focusing-on-one-specific-class"]], "Find Label Errors in Token Classification (Text) Datasets": [[108, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[108, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[108, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[108, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[108, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": 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"get_cross_validated_multilabel_pred_probs() (in module cleanlab.internal.multilabel_scorer)": [[49, "cleanlab.internal.multilabel_scorer.get_cross_validated_multilabel_pred_probs"]], "get_label_quality_scores() (in module cleanlab.internal.multilabel_scorer)": [[49, "cleanlab.internal.multilabel_scorer.get_label_quality_scores"]], "multilabel_py() (in module cleanlab.internal.multilabel_scorer)": [[49, "cleanlab.internal.multilabel_scorer.multilabel_py"]], "possible_methods (cleanlab.internal.multilabel_scorer.aggregator attribute)": [[49, "cleanlab.internal.multilabel_scorer.Aggregator.possible_methods"]], "softmin() (in module cleanlab.internal.multilabel_scorer)": [[49, "cleanlab.internal.multilabel_scorer.softmin"]], "cleanlab.internal.multilabel_utils": [[50, "module-cleanlab.internal.multilabel_utils"]], "get_onehot_num_classes() (in module cleanlab.internal.multilabel_utils)": [[50, "cleanlab.internal.multilabel_utils.get_onehot_num_classes"]], "int2onehot() (in module 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"correct_knn_distances_and_indices_with_exact_duplicate_sets_inplace() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.correct_knn_distances_and_indices_with_exact_duplicate_sets_inplace"]], "correct_knn_graph() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.correct_knn_graph"]], "create_knn_graph_and_index() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.create_knn_graph_and_index"]], "features_to_knn() (in module cleanlab.internal.neighbor.knn_graph)": [[52, "cleanlab.internal.neighbor.knn_graph.features_to_knn"]], "high_dimension_cutoff (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.HIGH_DIMENSION_CUTOFF"]], "row_count_cutoff (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.ROW_COUNT_CUTOFF"]], "cleanlab.internal.neighbor.metric": [[53, "module-cleanlab.internal.neighbor.metric"]], "decide_default_metric() (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.decide_default_metric"]], "decide_euclidean_metric() (in module cleanlab.internal.neighbor.metric)": [[53, "cleanlab.internal.neighbor.metric.decide_euclidean_metric"]], "cleanlab.internal.neighbor.search": [[54, "module-cleanlab.internal.neighbor.search"]], "construct_knn() (in module cleanlab.internal.neighbor.search)": [[54, "cleanlab.internal.neighbor.search.construct_knn"]], "cleanlab.internal.outlier": [[55, "module-cleanlab.internal.outlier"]], "correct_precision_errors() (in module cleanlab.internal.outlier)": [[55, "cleanlab.internal.outlier.correct_precision_errors"]], "transform_distances_to_scores() (in module cleanlab.internal.outlier)": [[55, "cleanlab.internal.outlier.transform_distances_to_scores"]], "cleanlab.internal.token_classification_utils": [[56, "module-cleanlab.internal.token_classification_utils"]], "color_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.color_sentence"]], "filter_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.filter_sentence"]], "get_sentence() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.get_sentence"]], "mapping() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.mapping"]], "merge_probs() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.merge_probs"]], "process_token() (in module cleanlab.internal.token_classification_utils)": [[56, "cleanlab.internal.token_classification_utils.process_token"]], "append_extra_datapoint() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.append_extra_datapoint"]], "cleanlab.internal.util": [[57, "module-cleanlab.internal.util"]], "clip_noise_rates() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.clip_noise_rates"]], "clip_values() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.clip_values"]], "compress_int_array() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.compress_int_array"]], "confusion_matrix() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.confusion_matrix"]], "csr_vstack() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.csr_vstack"]], "estimate_pu_f1() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.estimate_pu_f1"]], "extract_indices_tf() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.extract_indices_tf"]], "force_two_dimensions() (in module cleanlab.internal.util)": [[57, "cleanlab.internal.util.force_two_dimensions"]], "format_labels() (in module cleanlab.internal.util)": [[57, 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"cleanlab.internal.validation": [[58, "module-cleanlab.internal.validation"]], "labels_to_array() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.labels_to_array"]], "labels_to_list_multilabel() (in module cleanlab.internal.validation)": [[58, "cleanlab.internal.validation.labels_to_list_multilabel"]], "cleanlab.models": [[60, "module-cleanlab.models"]], "keraswrappermodel (class in cleanlab.models.keras)": [[61, "cleanlab.models.keras.KerasWrapperModel"]], "keraswrappersequential (class in cleanlab.models.keras)": [[61, "cleanlab.models.keras.KerasWrapperSequential"]], "cleanlab.models.keras": [[61, "module-cleanlab.models.keras"]], "fit() (cleanlab.models.keras.keraswrappermodel method)": [[61, "cleanlab.models.keras.KerasWrapperModel.fit"]], "fit() (cleanlab.models.keras.keraswrappersequential method)": [[61, "cleanlab.models.keras.KerasWrapperSequential.fit"]], "get_params() (cleanlab.models.keras.keraswrappermodel method)": [[61, 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"cleanlab.multilabel_classification.filter": [[64, "module-cleanlab.multilabel_classification.filter"]], "find_label_issues() (in module cleanlab.multilabel_classification.filter)": [[64, "cleanlab.multilabel_classification.filter.find_label_issues"]], "find_multilabel_issues_per_class() (in module cleanlab.multilabel_classification.filter)": [[64, "cleanlab.multilabel_classification.filter.find_multilabel_issues_per_class"]], "cleanlab.multilabel_classification": [[65, "module-cleanlab.multilabel_classification"]], "cleanlab.multilabel_classification.rank": [[66, "module-cleanlab.multilabel_classification.rank"]], "get_label_quality_scores() (in module cleanlab.multilabel_classification.rank)": [[66, "cleanlab.multilabel_classification.rank.get_label_quality_scores"]], "get_label_quality_scores_per_class() (in module cleanlab.multilabel_classification.rank)": [[66, "cleanlab.multilabel_classification.rank.get_label_quality_scores_per_class"]], "cleanlab.object_detection.filter": [[67, 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cleanlab.token_classification.rank)": [[82, "cleanlab.token_classification.rank.issues_from_scores"]], "cleanlab.token_classification.summary": [[83, "module-cleanlab.token_classification.summary"]], "common_label_issues() (in module cleanlab.token_classification.summary)": [[83, "cleanlab.token_classification.summary.common_label_issues"]], "display_issues() (in module cleanlab.token_classification.summary)": [[83, "cleanlab.token_classification.summary.display_issues"]], "filter_by_token() (in module cleanlab.token_classification.summary)": [[83, "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 99cc5344e..ccf2e1080 100644 --- a/master/tutorials/clean_learning/tabular.ipynb +++ b/master/tutorials/clean_learning/tabular.ipynb @@ -113,10 +113,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:05.992281Z", - "iopub.status.busy": "2024-06-19T19:13:05.992103Z", - "iopub.status.idle": "2024-06-19T19:13:07.220654Z", - "shell.execute_reply": "2024-06-19T19:13:07.220079Z" + "iopub.execute_input": "2024-06-25T15:01:44.210466Z", + "iopub.status.busy": "2024-06-25T15:01:44.210033Z", + "iopub.status.idle": "2024-06-25T15:01:45.515099Z", + "shell.execute_reply": "2024-06-25T15:01:45.514552Z" }, "nbsphinx": "hidden" }, @@ -126,7 +126,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -151,10 +151,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.223345Z", - "iopub.status.busy": "2024-06-19T19:13:07.222936Z", - "iopub.status.idle": "2024-06-19T19:13:07.241828Z", - "shell.execute_reply": "2024-06-19T19:13:07.241338Z" + "iopub.execute_input": "2024-06-25T15:01:45.518064Z", + "iopub.status.busy": "2024-06-25T15:01:45.517573Z", + "iopub.status.idle": "2024-06-25T15:01:45.536889Z", + "shell.execute_reply": "2024-06-25T15:01:45.536276Z" } }, "outputs": [], @@ -195,10 +195,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.244569Z", - "iopub.status.busy": "2024-06-19T19:13:07.244123Z", - "iopub.status.idle": "2024-06-19T19:13:07.353379Z", - "shell.execute_reply": "2024-06-19T19:13:07.352817Z" + "iopub.execute_input": "2024-06-25T15:01:45.539480Z", + "iopub.status.busy": "2024-06-25T15:01:45.539180Z", + "iopub.status.idle": "2024-06-25T15:01:45.675081Z", + "shell.execute_reply": "2024-06-25T15:01:45.674481Z" } }, "outputs": [ @@ -305,10 +305,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.384426Z", - "iopub.status.busy": "2024-06-19T19:13:07.383909Z", - "iopub.status.idle": "2024-06-19T19:13:07.388104Z", - "shell.execute_reply": "2024-06-19T19:13:07.387619Z" + "iopub.execute_input": "2024-06-25T15:01:45.709224Z", + "iopub.status.busy": "2024-06-25T15:01:45.708793Z", + "iopub.status.idle": "2024-06-25T15:01:45.712610Z", + "shell.execute_reply": "2024-06-25T15:01:45.712119Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.390073Z", - "iopub.status.busy": "2024-06-19T19:13:07.389893Z", - "iopub.status.idle": "2024-06-19T19:13:07.398271Z", - "shell.execute_reply": "2024-06-19T19:13:07.397839Z" + "iopub.execute_input": "2024-06-25T15:01:45.714729Z", + "iopub.status.busy": "2024-06-25T15:01:45.714392Z", + "iopub.status.idle": "2024-06-25T15:01:45.722965Z", + "shell.execute_reply": "2024-06-25T15:01:45.722410Z" } }, "outputs": [], @@ -384,10 +384,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.400568Z", - "iopub.status.busy": "2024-06-19T19:13:07.400144Z", - "iopub.status.idle": "2024-06-19T19:13:07.402970Z", - "shell.execute_reply": "2024-06-19T19:13:07.402425Z" + "iopub.execute_input": "2024-06-25T15:01:45.725077Z", + "iopub.status.busy": "2024-06-25T15:01:45.724896Z", + "iopub.status.idle": "2024-06-25T15:01:45.727695Z", + "shell.execute_reply": "2024-06-25T15:01:45.727101Z" } }, "outputs": [], @@ -409,10 +409,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.405030Z", - "iopub.status.busy": "2024-06-19T19:13:07.404638Z", - "iopub.status.idle": "2024-06-19T19:13:07.932245Z", - "shell.execute_reply": "2024-06-19T19:13:07.931617Z" + "iopub.execute_input": "2024-06-25T15:01:45.729642Z", + "iopub.status.busy": "2024-06-25T15:01:45.729468Z", + "iopub.status.idle": "2024-06-25T15:01:46.265625Z", + "shell.execute_reply": "2024-06-25T15:01:46.264963Z" } }, "outputs": [], @@ -446,10 +446,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:07.934938Z", - "iopub.status.busy": "2024-06-19T19:13:07.934682Z", - "iopub.status.idle": "2024-06-19T19:13:09.848580Z", - "shell.execute_reply": "2024-06-19T19:13:09.847980Z" + "iopub.execute_input": "2024-06-25T15:01:46.268663Z", + "iopub.status.busy": "2024-06-25T15:01:46.268173Z", + "iopub.status.idle": "2024-06-25T15:01:48.217776Z", + "shell.execute_reply": "2024-06-25T15:01:48.217164Z" } }, "outputs": [ @@ -481,10 +481,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.851288Z", - "iopub.status.busy": "2024-06-19T19:13:09.850615Z", - "iopub.status.idle": "2024-06-19T19:13:09.860714Z", - "shell.execute_reply": "2024-06-19T19:13:09.860220Z" + "iopub.execute_input": "2024-06-25T15:01:48.220484Z", + "iopub.status.busy": "2024-06-25T15:01:48.219877Z", + "iopub.status.idle": "2024-06-25T15:01:48.230622Z", + "shell.execute_reply": "2024-06-25T15:01:48.230137Z" } }, "outputs": [ @@ -605,10 +605,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.862808Z", - "iopub.status.busy": "2024-06-19T19:13:09.862555Z", - "iopub.status.idle": "2024-06-19T19:13:09.866600Z", - "shell.execute_reply": "2024-06-19T19:13:09.866193Z" + "iopub.execute_input": "2024-06-25T15:01:48.232874Z", + "iopub.status.busy": "2024-06-25T15:01:48.232674Z", + "iopub.status.idle": "2024-06-25T15:01:48.237233Z", + "shell.execute_reply": "2024-06-25T15:01:48.236692Z" } }, "outputs": [], @@ -633,10 +633,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.868701Z", - "iopub.status.busy": "2024-06-19T19:13:09.868381Z", - "iopub.status.idle": "2024-06-19T19:13:09.875547Z", - "shell.execute_reply": "2024-06-19T19:13:09.875091Z" + "iopub.execute_input": "2024-06-25T15:01:48.239352Z", + "iopub.status.busy": "2024-06-25T15:01:48.239163Z", + "iopub.status.idle": "2024-06-25T15:01:48.246761Z", + "shell.execute_reply": "2024-06-25T15:01:48.246216Z" } }, "outputs": [], @@ -658,10 +658,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.877745Z", - "iopub.status.busy": "2024-06-19T19:13:09.877337Z", - "iopub.status.idle": "2024-06-19T19:13:09.991009Z", - "shell.execute_reply": "2024-06-19T19:13:09.990354Z" + "iopub.execute_input": "2024-06-25T15:01:48.249302Z", + "iopub.status.busy": "2024-06-25T15:01:48.248895Z", + "iopub.status.idle": "2024-06-25T15:01:48.364612Z", + "shell.execute_reply": "2024-06-25T15:01:48.364100Z" } }, "outputs": [ @@ -691,10 +691,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.993352Z", - "iopub.status.busy": "2024-06-19T19:13:09.992959Z", - "iopub.status.idle": "2024-06-19T19:13:09.995837Z", - "shell.execute_reply": "2024-06-19T19:13:09.995394Z" + "iopub.execute_input": "2024-06-25T15:01:48.366981Z", + "iopub.status.busy": "2024-06-25T15:01:48.366559Z", + "iopub.status.idle": "2024-06-25T15:01:48.369555Z", + "shell.execute_reply": "2024-06-25T15:01:48.369084Z" } }, "outputs": [], @@ -715,10 +715,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:09.997958Z", - "iopub.status.busy": "2024-06-19T19:13:09.997634Z", - "iopub.status.idle": "2024-06-19T19:13:12.005175Z", - "shell.execute_reply": "2024-06-19T19:13:12.004490Z" + "iopub.execute_input": "2024-06-25T15:01:48.371662Z", + "iopub.status.busy": "2024-06-25T15:01:48.371309Z", + "iopub.status.idle": "2024-06-25T15:01:50.418139Z", + "shell.execute_reply": "2024-06-25T15:01:50.417343Z" } }, "outputs": [], @@ -738,10 +738,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:12.008225Z", - "iopub.status.busy": "2024-06-19T19:13:12.007462Z", - "iopub.status.idle": "2024-06-19T19:13:12.019330Z", - "shell.execute_reply": "2024-06-19T19:13:12.018873Z" + "iopub.execute_input": "2024-06-25T15:01:50.421433Z", + "iopub.status.busy": "2024-06-25T15:01:50.420700Z", + "iopub.status.idle": "2024-06-25T15:01:50.433080Z", + "shell.execute_reply": "2024-06-25T15:01:50.432500Z" } }, "outputs": [ @@ -771,10 +771,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:12.021679Z", - "iopub.status.busy": "2024-06-19T19:13:12.021283Z", - "iopub.status.idle": "2024-06-19T19:13:12.077773Z", - "shell.execute_reply": "2024-06-19T19:13:12.077172Z" + "iopub.execute_input": "2024-06-25T15:01:50.435410Z", + "iopub.status.busy": "2024-06-25T15:01:50.435087Z", + "iopub.status.idle": "2024-06-25T15:01:50.473924Z", + "shell.execute_reply": "2024-06-25T15:01:50.473290Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/clean_learning/text.html b/master/tutorials/clean_learning/text.html index c12012b25..e637eea9a 100644 --- a/master/tutorials/clean_learning/text.html +++ b/master/tutorials/clean_learning/text.html @@ -808,7 +808,7 @@

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

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

    @@ -871,43 +871,43 @@

    2. Load and format the text dataset
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    @@ -1206,7 +1206,7 @@

    4. 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"model_module_version": "2.0.0", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_6192e3a2b9dc40fc9e42d7022ccb6da7", "IPY_MODEL_bf51cc0a3c64473f8bccb569b7631e88", "IPY_MODEL_2e6d799e61dd4036826fa3c89864f73d"], "layout": "IPY_MODEL_f5c851163e9f429abd2a8710a748f770", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/clean_learning/text.ipynb b/master/tutorials/clean_learning/text.ipynb index f4eb558e7..4899defaa 100644 --- a/master/tutorials/clean_learning/text.ipynb +++ b/master/tutorials/clean_learning/text.ipynb @@ -115,10 +115,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:16.581923Z", - "iopub.status.busy": "2024-06-19T19:13:16.581741Z", - "iopub.status.idle": "2024-06-19T19:13:19.609277Z", - "shell.execute_reply": "2024-06-19T19:13:19.608766Z" + "iopub.execute_input": "2024-06-25T15:01:53.780398Z", + "iopub.status.busy": "2024-06-25T15:01:53.780232Z", + "iopub.status.idle": "2024-06-25T15:01:56.912617Z", + "shell.execute_reply": "2024-06-25T15:01:56.911965Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:13:19.611940Z", - "iopub.status.busy": "2024-06-19T19:13:19.611485Z", - "iopub.status.idle": "2024-06-19T19:13:19.614760Z", - "shell.execute_reply": "2024-06-19T19:13:19.614336Z" + "iopub.execute_input": "2024-06-25T15:01:56.915217Z", + "iopub.status.busy": "2024-06-25T15:01:56.914879Z", + "iopub.status.idle": "2024-06-25T15:01:56.918507Z", + "shell.execute_reply": "2024-06-25T15:01:56.918065Z" } }, "outputs": [], @@ -185,10 +185,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.616662Z", - "iopub.status.busy": "2024-06-19T19:13:19.616400Z", - "iopub.status.idle": "2024-06-19T19:13:19.619393Z", - "shell.execute_reply": "2024-06-19T19:13:19.618967Z" + "iopub.execute_input": "2024-06-25T15:01:56.920542Z", + "iopub.status.busy": "2024-06-25T15:01:56.920216Z", + "iopub.status.idle": "2024-06-25T15:01:56.923484Z", + "shell.execute_reply": "2024-06-25T15:01:56.922920Z" }, "nbsphinx": "hidden" }, @@ -219,10 +219,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.621501Z", - "iopub.status.busy": "2024-06-19T19:13:19.621077Z", - "iopub.status.idle": "2024-06-19T19:13:19.648165Z", - "shell.execute_reply": "2024-06-19T19:13:19.647618Z" + "iopub.execute_input": "2024-06-25T15:01:56.925653Z", + "iopub.status.busy": "2024-06-25T15:01:56.925222Z", + "iopub.status.idle": "2024-06-25T15:01:56.966287Z", + "shell.execute_reply": "2024-06-25T15:01:56.965678Z" } }, "outputs": [ @@ -312,10 +312,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.650130Z", - "iopub.status.busy": "2024-06-19T19:13:19.649949Z", - "iopub.status.idle": "2024-06-19T19:13:19.653780Z", - "shell.execute_reply": "2024-06-19T19:13:19.653251Z" + "iopub.execute_input": "2024-06-25T15:01:56.968774Z", + "iopub.status.busy": "2024-06-25T15:01:56.968352Z", + "iopub.status.idle": "2024-06-25T15:01:56.972408Z", + "shell.execute_reply": "2024-06-25T15:01:56.971945Z" } }, "outputs": [], @@ -330,10 +330,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.655728Z", - "iopub.status.busy": "2024-06-19T19:13:19.655462Z", - "iopub.status.idle": "2024-06-19T19:13:19.658726Z", - "shell.execute_reply": "2024-06-19T19:13:19.658213Z" + "iopub.execute_input": "2024-06-25T15:01:56.975695Z", + "iopub.status.busy": "2024-06-25T15:01:56.974365Z", + "iopub.status.idle": "2024-06-25T15:01:56.978956Z", + "shell.execute_reply": "2024-06-25T15:01:56.978424Z" } }, "outputs": [ @@ -342,7 +342,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'card_payment_fee_charged', 'apple_pay_or_google_pay', 'change_pin', 'supported_cards_and_currencies', 'visa_or_mastercard', 'beneficiary_not_allowed', 'cancel_transfer', 'card_about_to_expire', 'lost_or_stolen_phone', 'getting_spare_card'}\n" + "Classes: {'card_about_to_expire', 'getting_spare_card', 'change_pin', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'visa_or_mastercard', 'card_payment_fee_charged', 'cancel_transfer', 'apple_pay_or_google_pay', 'lost_or_stolen_phone'}\n" ] } ], @@ -365,10 +365,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.660758Z", - "iopub.status.busy": "2024-06-19T19:13:19.660381Z", - "iopub.status.idle": "2024-06-19T19:13:19.663556Z", - "shell.execute_reply": "2024-06-19T19:13:19.663016Z" + "iopub.execute_input": "2024-06-25T15:01:56.981270Z", + "iopub.status.busy": "2024-06-25T15:01:56.980905Z", + "iopub.status.idle": "2024-06-25T15:01:56.984145Z", + "shell.execute_reply": "2024-06-25T15:01:56.983607Z" } }, "outputs": [ @@ -409,10 +409,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.665629Z", - "iopub.status.busy": "2024-06-19T19:13:19.665315Z", - "iopub.status.idle": "2024-06-19T19:13:19.668463Z", - "shell.execute_reply": "2024-06-19T19:13:19.668008Z" + "iopub.execute_input": "2024-06-25T15:01:56.986343Z", + "iopub.status.busy": "2024-06-25T15:01:56.986027Z", + "iopub.status.idle": "2024-06-25T15:01:56.989549Z", + "shell.execute_reply": "2024-06-25T15:01:56.989071Z" } }, "outputs": [], @@ -453,17 +453,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:19.670515Z", - "iopub.status.busy": "2024-06-19T19:13:19.670224Z", - "iopub.status.idle": "2024-06-19T19:13:24.058839Z", - "shell.execute_reply": "2024-06-19T19:13:24.058285Z" + "iopub.execute_input": "2024-06-25T15:01:56.991498Z", + "iopub.status.busy": "2024-06-25T15:01:56.991316Z", + "iopub.status.idle": "2024-06-25T15:02:01.303453Z", + "shell.execute_reply": "2024-06-25T15:02:01.302875Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2978d58647a4d4bb8cf666ca7ae71de", + "model_id": "766189f555ae4a1588fb3238bacfd209", "version_major": 2, "version_minor": 0 }, @@ -477,7 +477,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99ce04b28e3a484b9933f72981a52419", + "model_id": "f87e6441b274424db0a957c4d8049d8a", "version_major": 2, "version_minor": 0 }, @@ -491,7 +491,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "84987e7069a040deaa24f7856a4b01ad", + "model_id": "8e4573277feb4466af64443afc2abc3d", "version_major": 2, "version_minor": 0 }, @@ -505,7 +505,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a9bb6466d1ba4951b164e17a33517554", + "model_id": "41475d21e4424b98b04954365f7fe679", "version_major": 2, "version_minor": 0 }, @@ -519,7 +519,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f2e4d9efd9194dd095e532cb483d9267", + "model_id": "3dd8436734ce4436b531d61768cb7839", "version_major": 2, "version_minor": 0 }, @@ -533,7 +533,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": 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"2024-06-19T19:13:24.066340Z", - "iopub.status.busy": "2024-06-19T19:13:24.066024Z", - "iopub.status.idle": "2024-06-19T19:13:24.068531Z", - "shell.execute_reply": "2024-06-19T19:13:24.068107Z" + "iopub.execute_input": "2024-06-25T15:02:01.310809Z", + "iopub.status.busy": "2024-06-25T15:02:01.310624Z", + "iopub.status.idle": "2024-06-25T15:02:01.313252Z", + "shell.execute_reply": "2024-06-25T15:02:01.312823Z" } }, "outputs": [], @@ -652,10 +652,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:24.070448Z", - "iopub.status.busy": "2024-06-19T19:13:24.070116Z", - "iopub.status.idle": "2024-06-19T19:13:26.788727Z", - "shell.execute_reply": "2024-06-19T19:13:26.788094Z" + "iopub.execute_input": "2024-06-25T15:02:01.315044Z", + "iopub.status.busy": "2024-06-25T15:02:01.314867Z", + "iopub.status.idle": "2024-06-25T15:02:04.255254Z", + "shell.execute_reply": "2024-06-25T15:02:04.254621Z" }, "scrolled": true }, @@ -678,10 +678,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.791573Z", - "iopub.status.busy": "2024-06-19T19:13:26.790975Z", - "iopub.status.idle": "2024-06-19T19:13:26.798494Z", - "shell.execute_reply": "2024-06-19T19:13:26.798047Z" + "iopub.execute_input": "2024-06-25T15:02:04.258228Z", + "iopub.status.busy": "2024-06-25T15:02:04.257607Z", + "iopub.status.idle": "2024-06-25T15:02:04.265624Z", + "shell.execute_reply": "2024-06-25T15:02:04.265070Z" } }, "outputs": [ @@ -782,10 +782,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.800704Z", - "iopub.status.busy": "2024-06-19T19:13:26.800287Z", - "iopub.status.idle": "2024-06-19T19:13:26.804097Z", - "shell.execute_reply": "2024-06-19T19:13:26.803615Z" + "iopub.execute_input": "2024-06-25T15:02:04.267797Z", + "iopub.status.busy": "2024-06-25T15:02:04.267592Z", + "iopub.status.idle": "2024-06-25T15:02:04.272257Z", + "shell.execute_reply": "2024-06-25T15:02:04.271790Z" } }, "outputs": [], @@ -799,10 +799,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.805944Z", - "iopub.status.busy": "2024-06-19T19:13:26.805768Z", - "iopub.status.idle": "2024-06-19T19:13:26.808929Z", - "shell.execute_reply": "2024-06-19T19:13:26.808386Z" + "iopub.execute_input": "2024-06-25T15:02:04.274357Z", + "iopub.status.busy": "2024-06-25T15:02:04.274023Z", + "iopub.status.idle": "2024-06-25T15:02:04.277439Z", + "shell.execute_reply": "2024-06-25T15:02:04.276981Z" } }, "outputs": [ @@ -837,10 +837,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:26.810898Z", - "iopub.status.busy": "2024-06-19T19:13:26.810717Z", - "iopub.status.idle": "2024-06-19T19:13:26.813841Z", - "shell.execute_reply": "2024-06-19T19:13:26.813387Z" + "iopub.execute_input": "2024-06-25T15:02:04.279542Z", + "iopub.status.busy": "2024-06-25T15:02:04.279223Z", + 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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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:13:37.136175Z", - "iopub.status.busy": "2024-06-19T19:13:37.135678Z", - "iopub.status.idle": "2024-06-19T19:13:37.138925Z", - "shell.execute_reply": "2024-06-19T19:13:37.138480Z" + "iopub.execute_input": "2024-06-25T15:02:15.247297Z", + "iopub.status.busy": "2024-06-25T15:02:15.246795Z", + "iopub.status.idle": "2024-06-25T15:02:15.250165Z", + "shell.execute_reply": "2024-06-25T15:02:15.249626Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:37.141011Z", - "iopub.status.busy": "2024-06-19T19:13:37.140685Z", - "iopub.status.idle": "2024-06-19T19:13:37.145034Z", - "shell.execute_reply": "2024-06-19T19:13:37.144611Z" + "iopub.execute_input": "2024-06-25T15:02:15.252170Z", + "iopub.status.busy": "2024-06-25T15:02:15.251863Z", + "iopub.status.idle": "2024-06-25T15:02:15.256520Z", + "shell.execute_reply": "2024-06-25T15:02:15.255970Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:37.147096Z", - "iopub.status.busy": "2024-06-19T19:13:37.146770Z", - "iopub.status.idle": "2024-06-19T19:13:38.648451Z", - "shell.execute_reply": "2024-06-19T19:13:38.647790Z" + "iopub.execute_input": "2024-06-25T15:02:15.258543Z", + "iopub.status.busy": "2024-06-25T15:02:15.258235Z", + "iopub.status.idle": "2024-06-25T15:02:16.884738Z", + "shell.execute_reply": "2024-06-25T15:02:16.884101Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.651240Z", - "iopub.status.busy": "2024-06-19T19:13:38.650848Z", - "iopub.status.idle": "2024-06-19T19:13:38.661633Z", - "shell.execute_reply": "2024-06-19T19:13:38.661051Z" + "iopub.execute_input": "2024-06-25T15:02:16.887448Z", + "iopub.status.busy": "2024-06-25T15:02:16.887076Z", + "iopub.status.idle": "2024-06-25T15:02:16.897643Z", + "shell.execute_reply": "2024-06-25T15:02:16.897098Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.663800Z", - "iopub.status.busy": "2024-06-19T19:13:38.663531Z", - "iopub.status.idle": "2024-06-19T19:13:38.668825Z", - "shell.execute_reply": "2024-06-19T19:13:38.668374Z" + "iopub.execute_input": "2024-06-25T15:02:16.899757Z", + "iopub.status.busy": "2024-06-25T15:02:16.899558Z", + "iopub.status.idle": "2024-06-25T15:02:16.904954Z", + "shell.execute_reply": "2024-06-25T15:02:16.904415Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:38.670895Z", - "iopub.status.busy": "2024-06-19T19:13:38.670564Z", - "iopub.status.idle": "2024-06-19T19:13:39.134781Z", - "shell.execute_reply": "2024-06-19T19:13:39.134211Z" + "iopub.execute_input": "2024-06-25T15:02:16.907000Z", + "iopub.status.busy": "2024-06-25T15:02:16.906695Z", + "iopub.status.idle": "2024-06-25T15:02:17.344696Z", + "shell.execute_reply": "2024-06-25T15:02:17.344197Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.136921Z", - "iopub.status.busy": "2024-06-19T19:13:39.136731Z", - "iopub.status.idle": "2024-06-19T19:13:39.806863Z", - "shell.execute_reply": "2024-06-19T19:13:39.806234Z" + "iopub.execute_input": "2024-06-25T15:02:17.346815Z", + "iopub.status.busy": "2024-06-25T15:02:17.346622Z", + "iopub.status.idle": "2024-06-25T15:02:17.873302Z", + "shell.execute_reply": "2024-06-25T15:02:17.872795Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.809355Z", - "iopub.status.busy": "2024-06-19T19:13:39.809000Z", - "iopub.status.idle": "2024-06-19T19:13:39.827351Z", - "shell.execute_reply": "2024-06-19T19:13:39.826843Z" + "iopub.execute_input": "2024-06-25T15:02:17.875838Z", + "iopub.status.busy": "2024-06-25T15:02:17.875532Z", + "iopub.status.idle": "2024-06-25T15:02:17.894363Z", + "shell.execute_reply": "2024-06-25T15:02:17.893825Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.829649Z", - "iopub.status.busy": "2024-06-19T19:13:39.829305Z", - "iopub.status.idle": "2024-06-19T19:13:39.832484Z", - "shell.execute_reply": "2024-06-19T19:13:39.832008Z" + "iopub.execute_input": "2024-06-25T15:02:17.896418Z", + "iopub.status.busy": "2024-06-25T15:02:17.896157Z", + "iopub.status.idle": "2024-06-25T15:02:17.899239Z", + "shell.execute_reply": "2024-06-25T15:02:17.898819Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:39.834683Z", - "iopub.status.busy": "2024-06-19T19:13:39.834359Z", - "iopub.status.idle": "2024-06-19T19:13:54.632116Z", - "shell.execute_reply": "2024-06-19T19:13:54.631530Z" + "iopub.execute_input": "2024-06-25T15:02:17.901266Z", + "iopub.status.busy": "2024-06-25T15:02:17.900893Z", + "iopub.status.idle": "2024-06-25T15:02:33.164898Z", + "shell.execute_reply": "2024-06-25T15:02:33.164163Z" }, "id": "2FSQ2GR9R_YA" }, @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:54.634785Z", - "iopub.status.busy": "2024-06-19T19:13:54.634403Z", - "iopub.status.idle": "2024-06-19T19:13:54.638244Z", - "shell.execute_reply": "2024-06-19T19:13:54.637698Z" + "iopub.execute_input": "2024-06-25T15:02:33.168417Z", + "iopub.status.busy": "2024-06-25T15:02:33.167943Z", + "iopub.status.idle": "2024-06-25T15:02:33.171955Z", + "shell.execute_reply": "2024-06-25T15:02:33.171347Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:54.640315Z", - "iopub.status.busy": "2024-06-19T19:13:54.640130Z", - "iopub.status.idle": "2024-06-19T19:13:55.362069Z", - "shell.execute_reply": "2024-06-19T19:13:55.361477Z" + "iopub.execute_input": "2024-06-25T15:02:33.174237Z", + "iopub.status.busy": "2024-06-25T15:02:33.173793Z", + "iopub.status.idle": "2024-06-25T15:02:33.908856Z", + "shell.execute_reply": "2024-06-25T15:02:33.908160Z" }, "id": "i_drkY9YOcw4" }, @@ -727,10 +727,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.365099Z", - "iopub.status.busy": "2024-06-19T19:13:55.364531Z", - "iopub.status.idle": "2024-06-19T19:13:55.369403Z", - "shell.execute_reply": "2024-06-19T19:13:55.368920Z" + "iopub.execute_input": "2024-06-25T15:02:33.911831Z", + "iopub.status.busy": "2024-06-25T15:02:33.911585Z", + "iopub.status.idle": "2024-06-25T15:02:33.916537Z", + "shell.execute_reply": "2024-06-25T15:02:33.915984Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -777,10 +777,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.371810Z", - "iopub.status.busy": "2024-06-19T19:13:55.371436Z", - "iopub.status.idle": "2024-06-19T19:13:55.471450Z", - "shell.execute_reply": "2024-06-19T19:13:55.470834Z" + "iopub.execute_input": "2024-06-25T15:02:33.919068Z", + "iopub.status.busy": "2024-06-25T15:02:33.918859Z", + "iopub.status.idle": "2024-06-25T15:02:34.024792Z", + "shell.execute_reply": "2024-06-25T15:02:34.024182Z" } }, "outputs": [ @@ -817,10 +817,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.473967Z", - "iopub.status.busy": "2024-06-19T19:13:55.473588Z", - "iopub.status.idle": "2024-06-19T19:13:55.485513Z", - "shell.execute_reply": "2024-06-19T19:13:55.485058Z" + "iopub.execute_input": "2024-06-25T15:02:34.027300Z", + "iopub.status.busy": "2024-06-25T15:02:34.026886Z", + "iopub.status.idle": "2024-06-25T15:02:34.040210Z", + "shell.execute_reply": "2024-06-25T15:02:34.039705Z" }, "scrolled": true }, @@ -880,10 +880,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.487657Z", - "iopub.status.busy": "2024-06-19T19:13:55.487331Z", - "iopub.status.idle": "2024-06-19T19:13:55.494998Z", - "shell.execute_reply": "2024-06-19T19:13:55.494567Z" + "iopub.execute_input": "2024-06-25T15:02:34.042518Z", + "iopub.status.busy": "2024-06-25T15:02:34.042160Z", + "iopub.status.idle": "2024-06-25T15:02:34.050552Z", + "shell.execute_reply": "2024-06-25T15:02:34.049971Z" } }, "outputs": [ @@ -987,10 +987,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.497125Z", - "iopub.status.busy": "2024-06-19T19:13:55.496800Z", - "iopub.status.idle": "2024-06-19T19:13:55.500807Z", - "shell.execute_reply": "2024-06-19T19:13:55.500265Z" + "iopub.execute_input": "2024-06-25T15:02:34.053043Z", + "iopub.status.busy": "2024-06-25T15:02:34.052548Z", + "iopub.status.idle": "2024-06-25T15:02:34.057420Z", + "shell.execute_reply": "2024-06-25T15:02:34.056944Z" } }, "outputs": [ @@ -1028,10 +1028,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.502976Z", - "iopub.status.busy": "2024-06-19T19:13:55.502544Z", - "iopub.status.idle": "2024-06-19T19:13:55.508120Z", - "shell.execute_reply": "2024-06-19T19:13:55.507656Z" + "iopub.execute_input": "2024-06-25T15:02:34.059919Z", + "iopub.status.busy": "2024-06-25T15:02:34.059470Z", + "iopub.status.idle": "2024-06-25T15:02:34.065940Z", + "shell.execute_reply": "2024-06-25T15:02:34.065342Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1158,10 +1158,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.510246Z", - "iopub.status.busy": "2024-06-19T19:13:55.509919Z", - "iopub.status.idle": "2024-06-19T19:13:55.622133Z", - "shell.execute_reply": "2024-06-19T19:13:55.621564Z" + "iopub.execute_input": "2024-06-25T15:02:34.068297Z", + "iopub.status.busy": "2024-06-25T15:02:34.067933Z", + "iopub.status.idle": "2024-06-25T15:02:34.201047Z", + "shell.execute_reply": "2024-06-25T15:02:34.200381Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1215,10 +1215,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.624506Z", - "iopub.status.busy": "2024-06-19T19:13:55.624167Z", - "iopub.status.idle": "2024-06-19T19:13:55.729249Z", - "shell.execute_reply": "2024-06-19T19:13:55.728660Z" + "iopub.execute_input": "2024-06-25T15:02:34.203740Z", + "iopub.status.busy": "2024-06-25T15:02:34.203362Z", + "iopub.status.idle": "2024-06-25T15:02:34.314277Z", + "shell.execute_reply": "2024-06-25T15:02:34.313644Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1263,10 +1263,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.731529Z", - "iopub.status.busy": "2024-06-19T19:13:55.731114Z", - "iopub.status.idle": "2024-06-19T19:13:55.835603Z", - "shell.execute_reply": "2024-06-19T19:13:55.835028Z" + "iopub.execute_input": "2024-06-25T15:02:34.316726Z", + "iopub.status.busy": "2024-06-25T15:02:34.316376Z", + "iopub.status.idle": "2024-06-25T15:02:34.428040Z", + "shell.execute_reply": "2024-06-25T15:02:34.427365Z" }, "id": "lfa2eHbMwG8R", "outputId": "6627ebe2-d439-4bf5-e2cb-44f6278ae86c" @@ -1307,10 +1307,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.837654Z", - "iopub.status.busy": "2024-06-19T19:13:55.837457Z", - "iopub.status.idle": "2024-06-19T19:13:55.943789Z", - "shell.execute_reply": "2024-06-19T19:13:55.943286Z" + "iopub.execute_input": "2024-06-25T15:02:34.430505Z", + "iopub.status.busy": "2024-06-25T15:02:34.430130Z", + "iopub.status.idle": "2024-06-25T15:02:34.540275Z", + "shell.execute_reply": "2024-06-25T15:02:34.539662Z" } }, "outputs": [ @@ -1358,10 +1358,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:13:55.945995Z", - "iopub.status.busy": "2024-06-19T19:13:55.945670Z", - "iopub.status.idle": "2024-06-19T19:13:55.948721Z", - "shell.execute_reply": 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null, - "order": null, - "overflow": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c744cc2ba6f64bdfa5d2ab4e2a65f6c8", + "IPY_MODEL_b7548af9c7004b6fa8759aa9b32cafa1", + "IPY_MODEL_de679541b5b046aa90c292d86ff4fe2d" + ], + "layout": "IPY_MODEL_9f273f47b7bc4c90a9d940db2d2f037e", + "tabbable": null, + "tooltip": null } }, - "09c5eaeee6ef4cf98b3e2b4675cc0a18": { + "0a91f1a2e74245faa1360d48acfff410": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "ProgressStyleModel", + "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", + "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", - "bar_color": null, - 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    Functionality 1: Incremental issue search 
     Finding outlier issues ...
-Fitting OOD estimator based on provided features ...
 Finding near_duplicate issues ...
 
 Audit complete. 21 issues found in the dataset.
@@ -1078,7 +1077,6 @@ 
    Functionality 2: Specifying nondefault arguments
 
     Finding outlier issues ...
-Fitting OOD estimator based on provided features ...
 
 Audit complete. 22 issues found in the dataset.
 Dataset Information: num_examples: 132, num_classes: 3
@@ -1161,7 +1159,7 @@ 
    Functionality 2: Specifying nondefault arguments
 
    -/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.
+/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:348: UserWarning: Overwriting columns ['is_outlier_issue', 'outlier_score'] in self.issues with columns from issue manager OutlierIssueManager.
   warnings.warn(
 /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.
   warnings.warn(
@@ -1297,7 +1295,7 @@ 
    Functionality 3: Save and load Datalab objects
 
    
 
    
-
    
+
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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 b076c0a0e..5786e3a82 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": "2024-06-19T19:14:38.349159Z", - "iopub.status.busy": "2024-06-19T19:14:38.348809Z", - "iopub.status.idle": "2024-06-19T19:14:39.570916Z", - "shell.execute_reply": "2024-06-19T19:14:39.570353Z" + "iopub.execute_input": "2024-06-25T15:02:38.227581Z", + "iopub.status.busy": "2024-06-25T15:02:38.227225Z", + "iopub.status.idle": "2024-06-25T15:02:39.517377Z", + "shell.execute_reply": "2024-06-25T15:02:39.516789Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:14:39.573777Z", - "iopub.status.busy": "2024-06-19T19:14:39.573242Z", - "iopub.status.idle": "2024-06-19T19:14:39.576294Z", - "shell.execute_reply": "2024-06-19T19:14:39.575816Z" + "iopub.execute_input": "2024-06-25T15:02:39.520092Z", + "iopub.status.busy": "2024-06-25T15:02:39.519754Z", + "iopub.status.idle": "2024-06-25T15:02:39.523034Z", + "shell.execute_reply": "2024-06-25T15:02:39.522543Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.578592Z", - "iopub.status.busy": "2024-06-19T19:14:39.578201Z", - "iopub.status.idle": "2024-06-19T19:14:39.586848Z", - "shell.execute_reply": "2024-06-19T19:14:39.586392Z" + "iopub.execute_input": "2024-06-25T15:02:39.525370Z", + "iopub.status.busy": "2024-06-25T15:02:39.525170Z", + "iopub.status.idle": "2024-06-25T15:02:39.534786Z", + "shell.execute_reply": "2024-06-25T15:02:39.534330Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.588952Z", - "iopub.status.busy": "2024-06-19T19:14:39.588636Z", - "iopub.status.idle": "2024-06-19T19:14:39.593700Z", - "shell.execute_reply": "2024-06-19T19:14:39.593152Z" + "iopub.execute_input": "2024-06-25T15:02:39.537084Z", + "iopub.status.busy": "2024-06-25T15:02:39.536717Z", + "iopub.status.idle": "2024-06-25T15:02:39.541685Z", + "shell.execute_reply": "2024-06-25T15:02:39.541207Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.596110Z", - "iopub.status.busy": "2024-06-19T19:14:39.595573Z", - "iopub.status.idle": "2024-06-19T19:14:39.783618Z", - "shell.execute_reply": "2024-06-19T19:14:39.782990Z" + "iopub.execute_input": "2024-06-25T15:02:39.544239Z", + "iopub.status.busy": "2024-06-25T15:02:39.543809Z", + "iopub.status.idle": "2024-06-25T15:02:39.744513Z", + "shell.execute_reply": "2024-06-25T15:02:39.743889Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:39.786364Z", - "iopub.status.busy": "2024-06-19T19:14:39.785973Z", - "iopub.status.idle": "2024-06-19T19:14:40.163979Z", - "shell.execute_reply": "2024-06-19T19:14:40.163359Z" + "iopub.execute_input": "2024-06-25T15:02:39.747094Z", + "iopub.status.busy": "2024-06-25T15:02:39.746904Z", + "iopub.status.idle": "2024-06-25T15:02:40.122770Z", + "shell.execute_reply": "2024-06-25T15:02:40.122190Z" } }, "outputs": [ @@ -569,10 +569,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.166733Z", - "iopub.status.busy": "2024-06-19T19:14:40.166236Z", - "iopub.status.idle": "2024-06-19T19:14:40.190230Z", - "shell.execute_reply": "2024-06-19T19:14:40.189618Z" + "iopub.execute_input": "2024-06-25T15:02:40.125205Z", + "iopub.status.busy": "2024-06-25T15:02:40.124842Z", + "iopub.status.idle": "2024-06-25T15:02:40.148454Z", + "shell.execute_reply": "2024-06-25T15:02:40.147926Z" } }, "outputs": [], @@ -608,10 +608,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.193105Z", - "iopub.status.busy": "2024-06-19T19:14:40.192629Z", - "iopub.status.idle": "2024-06-19T19:14:40.204803Z", - "shell.execute_reply": "2024-06-19T19:14:40.204289Z" + "iopub.execute_input": "2024-06-25T15:02:40.151117Z", + "iopub.status.busy": "2024-06-25T15:02:40.150749Z", + "iopub.status.idle": "2024-06-25T15:02:40.162622Z", + "shell.execute_reply": "2024-06-25T15:02:40.162130Z" } }, "outputs": [], @@ -642,10 +642,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:40.207374Z", - "iopub.status.busy": "2024-06-19T19:14:40.207004Z", - "iopub.status.idle": "2024-06-19T19:14:42.327628Z", - "shell.execute_reply": "2024-06-19T19:14:42.327010Z" + "iopub.execute_input": "2024-06-25T15:02:40.165202Z", + "iopub.status.busy": "2024-06-25T15:02:40.164846Z", + "iopub.status.idle": "2024-06-25T15:02:42.323570Z", + "shell.execute_reply": "2024-06-25T15:02:42.322965Z" } }, "outputs": [ @@ -714,10 +714,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:42.330257Z", - "iopub.status.busy": "2024-06-19T19:14:42.329872Z", - "iopub.status.idle": "2024-06-19T19:14:42.352484Z", - "shell.execute_reply": "2024-06-19T19:14:42.351892Z" + "iopub.execute_input": 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+842,6 @@ "output_type": "stream", "text": [ "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n", "\n", "Audit complete. 22 issues found in the dataset.\n", "Dataset Information: num_examples: 132, num_classes: 3\n", @@ -925,7 +923,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/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", + "/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:348: UserWarning: Overwriting columns ['is_outlier_issue', 'outlier_score'] 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", @@ -951,10 +949,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:42.378962Z", - "iopub.status.busy": "2024-06-19T19:14:42.378573Z", - "iopub.status.idle": "2024-06-19T19:14:42.393909Z", - "shell.execute_reply": "2024-06-19T19:14:42.393398Z" + "iopub.execute_input": "2024-06-25T15:02:42.369670Z", + "iopub.status.busy": "2024-06-25T15:02:42.369339Z", + "iopub.status.idle": "2024-06-25T15:02:42.383457Z", + "shell.execute_reply": "2024-06-25T15:02:42.383007Z" } }, "outputs": [ @@ -1089,17 +1087,17 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:42.396372Z", - "iopub.status.busy": "2024-06-19T19:14:42.395848Z", - "iopub.status.idle": "2024-06-19T19:14:42.417274Z", - "shell.execute_reply": "2024-06-19T19:14:42.416690Z" + "iopub.execute_input": "2024-06-25T15:02:42.385718Z", + "iopub.status.busy": "2024-06-25T15:02:42.385385Z", + "iopub.status.idle": 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"@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 + } + }, + "fca68c87786843ff862b0bc4c1a1959f": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1794,32 +1818,6 @@ "visibility": null, "width": null } - }, - "a2c3230c2bd242e2a191ad7536a286a9": { - "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_55c6a16b93ea4ff089909e0fd3527c68", - "max": 132.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_1d186cbf0db347ba9eb20cf6580cfc5b", - "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 1d6d02cba..f00df6bef 100644 --- a/master/tutorials/datalab/datalab_quickstart.html +++ b/master/tutorials/datalab/datalab_quickstart.html @@ -949,7 +949,6 @@

    4. Use Datalab to find issues in the dataset 
     Finding outlier issues ...
-Fitting OOD estimator based on provided features ...
 Finding near_duplicate issues ...
 Finding non_iid issues ...
 Finding class_imbalance issues ...
diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb
index ec1f4b0c3..a870a82f5 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": "2024-06-19T19:14:45.255382Z",
-     "iopub.status.busy": "2024-06-19T19:14:45.255201Z",
-     "iopub.status.idle": "2024-06-19T19:14:46.487948Z",
-     "shell.execute_reply": "2024-06-19T19:14:46.487303Z"
+     "iopub.execute_input": "2024-06-25T15:02:45.248373Z",
+     "iopub.status.busy": "2024-06-25T15:02:45.247929Z",
+     "iopub.status.idle": "2024-06-25T15:02:46.453643Z",
+     "shell.execute_reply": "2024-06-25T15:02:46.453087Z"
     },
     "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:14:46.490797Z",
-     "iopub.status.busy": "2024-06-19T19:14:46.490467Z",
-     "iopub.status.idle": "2024-06-19T19:14:46.493798Z",
-     "shell.execute_reply": "2024-06-19T19:14:46.493238Z"
+     "iopub.execute_input": "2024-06-25T15:02:46.456361Z",
+     "iopub.status.busy": "2024-06-25T15:02:46.455895Z",
+     "iopub.status.idle": "2024-06-25T15:02:46.458893Z",
+     "shell.execute_reply": "2024-06-25T15:02:46.458450Z"
     }
    },
    "outputs": [],
@@ -250,10 +250,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:46.496105Z",
-     "iopub.status.busy": "2024-06-19T19:14:46.495683Z",
-     "iopub.status.idle": "2024-06-19T19:14:46.505006Z",
-     "shell.execute_reply": "2024-06-19T19:14:46.504407Z"
+     "iopub.execute_input": "2024-06-25T15:02:46.461227Z",
+     "iopub.status.busy": "2024-06-25T15:02:46.460897Z",
+     "iopub.status.idle": "2024-06-25T15:02:46.470054Z",
+     "shell.execute_reply": "2024-06-25T15:02:46.469541Z"
     },
     "nbsphinx": "hidden"
    },
@@ -356,10 +356,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:46.507461Z",
-     "iopub.status.busy": "2024-06-19T19:14:46.507007Z",
-     "iopub.status.idle": "2024-06-19T19:14:46.512115Z",
-     "shell.execute_reply": "2024-06-19T19:14:46.511524Z"
+     "iopub.execute_input": "2024-06-25T15:02:46.472337Z",
+     "iopub.status.busy": "2024-06-25T15:02:46.471989Z",
+     "iopub.status.idle": "2024-06-25T15:02:46.476989Z",
+     "shell.execute_reply": "2024-06-25T15:02:46.476526Z"
     }
    },
    "outputs": [],
@@ -448,10 +448,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:46.514491Z",
-     "iopub.status.busy": "2024-06-19T19:14:46.514177Z",
-     "iopub.status.idle": "2024-06-19T19:14:46.702508Z",
-     "shell.execute_reply": "2024-06-19T19:14:46.701904Z"
+     "iopub.execute_input": "2024-06-25T15:02:46.479195Z",
+     "iopub.status.busy": "2024-06-25T15:02:46.478830Z",
+     "iopub.status.idle": "2024-06-25T15:02:46.673454Z",
+     "shell.execute_reply": "2024-06-25T15:02:46.672819Z"
     },
     "nbsphinx": "hidden"
    },
@@ -520,10 +520,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:46.705135Z",
-     "iopub.status.busy": "2024-06-19T19:14:46.704899Z",
-     "iopub.status.idle": "2024-06-19T19:14:47.021070Z",
-     "shell.execute_reply": "2024-06-19T19:14:47.020488Z"
+     "iopub.execute_input": "2024-06-25T15:02:46.676288Z",
+     "iopub.status.busy": "2024-06-25T15:02:46.675787Z",
+     "iopub.status.idle": "2024-06-25T15:02:47.008494Z",
+     "shell.execute_reply": "2024-06-25T15:02:47.007858Z"
     }
    },
    "outputs": [
@@ -559,10 +559,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:47.023389Z",
-     "iopub.status.busy": "2024-06-19T19:14:47.023036Z",
-     "iopub.status.idle": "2024-06-19T19:14:47.025937Z",
-     "shell.execute_reply": "2024-06-19T19:14:47.025487Z"
+     "iopub.execute_input": "2024-06-25T15:02:47.010766Z",
+     "iopub.status.busy": "2024-06-25T15:02:47.010428Z",
+     "iopub.status.idle": "2024-06-25T15:02:47.013373Z",
+     "shell.execute_reply": "2024-06-25T15:02:47.012814Z"
     }
    },
    "outputs": [],
@@ -602,10 +602,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:47.027986Z",
-     "iopub.status.busy": "2024-06-19T19:14:47.027660Z",
-     "iopub.status.idle": "2024-06-19T19:14:47.062853Z",
-     "shell.execute_reply": "2024-06-19T19:14:47.062236Z"
+     "iopub.execute_input": "2024-06-25T15:02:47.015607Z",
+     "iopub.status.busy": "2024-06-25T15:02:47.015161Z",
+     "iopub.status.idle": "2024-06-25T15:02:47.051531Z",
+     "shell.execute_reply": "2024-06-25T15:02:47.050912Z"
     }
    },
    "outputs": [
@@ -647,10 +647,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:47.065219Z",
-     "iopub.status.busy": "2024-06-19T19:14:47.064875Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.151071Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.150385Z"
+     "iopub.execute_input": "2024-06-25T15:02:47.053946Z",
+     "iopub.status.busy": "2024-06-25T15:02:47.053574Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.292243Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.291506Z"
     }
    },
    "outputs": [
@@ -675,7 +675,6 @@
      "output_type": "stream",
      "text": [
       "Finding outlier issues ...\n",
-      "Fitting OOD estimator based on provided features ...\n",
       "Finding near_duplicate issues ...\n",
       "Finding non_iid issues ...\n",
       "Finding class_imbalance issues ...\n",
@@ -711,10 +710,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.153752Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.153141Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.172188Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.171647Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.295008Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.294444Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.314500Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.313993Z"
     }
    },
    "outputs": [
@@ -847,10 +846,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.174433Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.174102Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.180787Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.180322Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.316847Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.316489Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.323651Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.323169Z"
     }
    },
    "outputs": [
@@ -961,10 +960,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.182996Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.182607Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.188887Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.188329Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.325682Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.325501Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.332101Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.331645Z"
     }
    },
    "outputs": [
@@ -1031,10 +1030,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.190983Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.190705Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.201506Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.200977Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.334117Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.333735Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.344479Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.343901Z"
     }
    },
    "outputs": [
@@ -1226,10 +1225,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.203682Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.203334Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.212604Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.212065Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.346708Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.346367Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.356147Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.355551Z"
     }
    },
    "outputs": [
@@ -1345,10 +1344,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.214826Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.214481Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.222292Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.221776Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.358388Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.358071Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.365013Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.364533Z"
     },
     "scrolled": true
    },
@@ -1473,10 +1472,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.224527Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.224169Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.234040Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.233546Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.367268Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.366844Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.376754Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.376145Z"
     }
    },
    "outputs": [
@@ -1579,10 +1578,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-06-19T19:14:49.236357Z",
-     "iopub.status.busy": "2024-06-19T19:14:49.235989Z",
-     "iopub.status.idle": "2024-06-19T19:14:49.248375Z",
-     "shell.execute_reply": "2024-06-19T19:14:49.247930Z"
+     "iopub.execute_input": "2024-06-25T15:02:49.379075Z",
+     "iopub.status.busy": "2024-06-25T15:02:49.378757Z",
+     "iopub.status.idle": "2024-06-25T15:02:49.391296Z",
+     "shell.execute_reply": "2024-06-25T15:02:49.390687Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/datalab/image.html b/master/tutorials/datalab/image.html
index 2c001d684..4363460ba 100644
--- a/master/tutorials/datalab/image.html
+++ b/master/tutorials/datalab/image.html
@@ -729,49 +729,49 @@ 
    2. Fetch and normalize the Fashion-MNIST dataset
    -
    +

    -
    +

    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    [3]:
@@ -826,7 +826,7 @@ 
    2. Fetch and normalize the Fashion-MNIST dataset
    -
    +

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

    @@ -1075,8 +1075,8 @@

    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: 4.903
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.648
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 5.035
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.567
 Computing feature embeddings ...

    @@ -1084,7 +1084,7 @@

    5. Compute out-of-sample predicted probabilities and feature embeddings
    -
    +
    @@ -1098,7 +1098,7 @@

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

    -
    +
    @@ -1107,8 +1107,8 @@

    5. Compute out-of-sample predicted probabilities and feature embeddings
     
 Training on fold: 2 ...
-epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.057
-epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.709
+epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.090
+epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.729
 Computing feature embeddings ...

    @@ -1116,7 +1116,7 @@

    5. Compute out-of-sample predicted probabilities and feature embeddings
    -
    +
    @@ -1130,7 +1130,7 @@

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

    -
    +
    @@ -1139,8 +1139,8 @@

    5. Compute out-of-sample predicted probabilities and feature embeddings
     
 Training on fold: 3 ...
-epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.966
-epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.720
+epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.864
+epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.806
 Computing feature embeddings ...

    @@ -1148,7 +1148,7 @@

    5. Compute out-of-sample predicted probabilities and feature embeddings
    -
    +
    @@ -1162,7 +1162,7 @@

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

    -
    +
    @@ -1213,7 +1213,6 @@

    7. Use cleanlab to find issues

    -
    +
    @@ -2127,7 +2126,7 @@

    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 a86524a42..65ccc6a63 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": "2024-06-19T19:14:52.255232Z", - "iopub.status.busy": "2024-06-19T19:14:52.254822Z", - "iopub.status.idle": "2024-06-19T19:14:55.215396Z", - "shell.execute_reply": "2024-06-19T19:14:55.214843Z" + "iopub.execute_input": "2024-06-25T15:02:52.434923Z", + "iopub.status.busy": "2024-06-25T15:02:52.434761Z", + "iopub.status.idle": "2024-06-25T15:02:55.457582Z", + "shell.execute_reply": "2024-06-25T15:02:55.456965Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:55.218074Z", - "iopub.status.busy": "2024-06-19T19:14:55.217610Z", - "iopub.status.idle": "2024-06-19T19:14:55.221191Z", - "shell.execute_reply": "2024-06-19T19:14:55.220718Z" + "iopub.execute_input": "2024-06-25T15:02:55.460430Z", + "iopub.status.busy": "2024-06-25T15:02:55.459987Z", + "iopub.status.idle": "2024-06-25T15:02:55.463840Z", + "shell.execute_reply": "2024-06-25T15:02:55.463361Z" } }, "outputs": [], @@ -152,10 +152,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:14:55.223147Z", - "iopub.status.busy": "2024-06-19T19:14:55.222834Z", - "iopub.status.idle": "2024-06-19T19:15:06.828476Z", - "shell.execute_reply": "2024-06-19T19:15:06.827911Z" + "iopub.execute_input": "2024-06-25T15:02:55.465902Z", + "iopub.status.busy": "2024-06-25T15:02:55.465566Z", + "iopub.status.idle": "2024-06-25T15:03:05.715335Z", + "shell.execute_reply": "2024-06-25T15:03:05.714792Z" } }, "outputs": [ @@ -172,7 +172,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "349ee786df634788bc2d1161e9306302", + "model_id": "cb86652b122d4284addbacdbed8966b7", "version_major": 2, "version_minor": 0 }, @@ -186,7 +186,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "637d67c13ddb4c7d91633b5217a8a441", + "model_id": "572ae861928442c9b2d22ae8ce864337", "version_major": 2, "version_minor": 0 }, @@ -200,7 +200,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e3b490f3753e4a26b5ee7f200e729450", + "model_id": "8416acb269134271b8af012e09301f14", "version_major": 2, "version_minor": 0 }, @@ -214,7 +214,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2b448009da8c4e8483f886f2eb0e3030", + "model_id": "a0eef281a9b4456093538c260e709ed1", "version_major": 2, "version_minor": 0 }, @@ -228,7 +228,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4865b5b7656841e0a18dd009e4b0f40f", + "model_id": "9ee519db54124c56adb8ac7877404ad9", "version_major": 2, "version_minor": 0 }, @@ -242,7 +242,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "060c782bcc144c998d4ec99cf1693c59", + "model_id": "4666fbbe6c844793bab204564c644f4f", "version_major": 2, "version_minor": 0 }, @@ -256,7 +256,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "975d2ee3e62d4a2b9d66709c83444c6a", + "model_id": "a9d22fa9576940b49f5c0c6e41a5affc", "version_major": 2, "version_minor": 0 }, @@ -270,7 +270,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38f1190e08ab4e7e8697541bdfa2f88d", + "model_id": "8f3998c468104adfaba1ce14dbdbd750", "version_major": 2, "version_minor": 0 }, @@ -312,10 +312,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:06.830787Z", - "iopub.status.busy": "2024-06-19T19:15:06.830559Z", - "iopub.status.idle": "2024-06-19T19:15:06.834622Z", - "shell.execute_reply": "2024-06-19T19:15:06.834170Z" + "iopub.execute_input": "2024-06-25T15:03:05.717627Z", + "iopub.status.busy": "2024-06-25T15:03:05.717292Z", + "iopub.status.idle": "2024-06-25T15:03:05.721051Z", + "shell.execute_reply": "2024-06-25T15:03:05.720526Z" } }, "outputs": [ @@ -340,17 +340,17 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:06.836831Z", - "iopub.status.busy": "2024-06-19T19:15:06.836373Z", - "iopub.status.idle": "2024-06-19T19:15:18.266161Z", - "shell.execute_reply": "2024-06-19T19:15:18.265599Z" + "iopub.execute_input": "2024-06-25T15:03:05.723003Z", + "iopub.status.busy": "2024-06-25T15:03:05.722728Z", + "iopub.status.idle": "2024-06-25T15:03:16.714815Z", + "shell.execute_reply": "2024-06-25T15:03:16.714239Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1fe32cc7dd404642b1eb8ff34e416fb0", + "model_id": "a20698b6f5ac47bf8a90e5e27b8d7a1a", "version_major": 2, "version_minor": 0 }, @@ -388,10 +388,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:18.268783Z", - "iopub.status.busy": "2024-06-19T19:15:18.268465Z", - "iopub.status.idle": "2024-06-19T19:15:38.257972Z", - "shell.execute_reply": "2024-06-19T19:15:38.257351Z" + "iopub.execute_input": "2024-06-25T15:03:16.717468Z", + "iopub.status.busy": "2024-06-25T15:03:16.717224Z", + "iopub.status.idle": "2024-06-25T15:03:35.068691Z", + "shell.execute_reply": "2024-06-25T15:03:35.068089Z" } }, "outputs": [], @@ -424,10 +424,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.260843Z", - "iopub.status.busy": "2024-06-19T19:15:38.260493Z", - "iopub.status.idle": "2024-06-19T19:15:38.265480Z", - "shell.execute_reply": "2024-06-19T19:15:38.264919Z" + "iopub.execute_input": "2024-06-25T15:03:35.072202Z", + "iopub.status.busy": "2024-06-25T15:03:35.071820Z", + "iopub.status.idle": "2024-06-25T15:03:35.077664Z", + "shell.execute_reply": "2024-06-25T15:03:35.077111Z" } }, "outputs": [], @@ -465,10 +465,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.267318Z", - "iopub.status.busy": "2024-06-19T19:15:38.267141Z", - "iopub.status.idle": "2024-06-19T19:15:38.271766Z", - "shell.execute_reply": "2024-06-19T19:15:38.271329Z" + "iopub.execute_input": "2024-06-25T15:03:35.080077Z", + "iopub.status.busy": "2024-06-25T15:03:35.079655Z", + "iopub.status.idle": "2024-06-25T15:03:35.084617Z", + "shell.execute_reply": "2024-06-25T15:03:35.084045Z" }, "nbsphinx": "hidden" }, @@ -605,10 +605,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.273621Z", - "iopub.status.busy": "2024-06-19T19:15:38.273449Z", - "iopub.status.idle": "2024-06-19T19:15:38.282488Z", - "shell.execute_reply": "2024-06-19T19:15:38.281976Z" + "iopub.execute_input": "2024-06-25T15:03:35.087271Z", + "iopub.status.busy": "2024-06-25T15:03:35.086918Z", + "iopub.status.idle": "2024-06-25T15:03:35.096770Z", + "shell.execute_reply": "2024-06-25T15:03:35.096173Z" }, "nbsphinx": "hidden" }, @@ -733,10 +733,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.284725Z", - "iopub.status.busy": "2024-06-19T19:15:38.284321Z", - "iopub.status.idle": "2024-06-19T19:15:38.313283Z", - "shell.execute_reply": "2024-06-19T19:15:38.312791Z" + "iopub.execute_input": "2024-06-25T15:03:35.099193Z", + "iopub.status.busy": "2024-06-25T15:03:35.098831Z", + "iopub.status.idle": "2024-06-25T15:03:35.126786Z", + "shell.execute_reply": "2024-06-25T15:03:35.126252Z" } }, "outputs": [], @@ -773,10 +773,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:15:38.315651Z", - "iopub.status.busy": "2024-06-19T19:15:38.315309Z", - "iopub.status.idle": "2024-06-19T19:16:11.760467Z", - "shell.execute_reply": "2024-06-19T19:16:11.759821Z" + "iopub.execute_input": "2024-06-25T15:03:35.129570Z", + "iopub.status.busy": "2024-06-25T15:03:35.129185Z", + "iopub.status.idle": "2024-06-25T15:04:08.787947Z", + "shell.execute_reply": "2024-06-25T15:04:08.787306Z" } }, "outputs": [ @@ -792,21 +792,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.903\n" + "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 5.035\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.648\n", + "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.567\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4f314808162a4162a1215e3829506cee", + "model_id": "571aad50ae0e454484ba5794a0c894a1", "version_major": 2, "version_minor": 0 }, @@ -827,7 +827,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a5c5a31434b147c79a2ee3c8a0238542", + "model_id": "a1cf212f99ca47149f17b2ee8cd2fad9", "version_major": 2, "version_minor": 0 }, @@ -850,21 +850,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.057\n" + "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.090\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.709\n", + "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.729\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b9200b83016e4f1d893d9679edcac1ea", + "model_id": "9b16c7a3da8d4c8b998a707e044b070a", "version_major": 2, "version_minor": 0 }, @@ -885,7 +885,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b2161d0251584354a28b87992f624a0b", + "model_id": "e6b201d41be24978b1711d80d4442962", "version_major": 2, "version_minor": 0 }, @@ -908,21 +908,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.966\n" + "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.864\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.720\n", + "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.806\n", "Computing feature embeddings ...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d608bddcd7a54636a4b3dd9aeef5fcb2", + "model_id": "4929ccdcba92446cae04c897cf77041f", "version_major": 2, "version_minor": 0 }, @@ -943,7 +943,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1dd9aa845b104521b299bd515cdbc543", + "model_id": "16a24cc498124a6baa7035a049b39720", "version_major": 2, "version_minor": 0 }, @@ -1022,10 +1022,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:11.762922Z", - "iopub.status.busy": "2024-06-19T19:16:11.762584Z", - "iopub.status.idle": "2024-06-19T19:16:11.776866Z", - "shell.execute_reply": "2024-06-19T19:16:11.776374Z" + "iopub.execute_input": "2024-06-25T15:04:08.790655Z", + "iopub.status.busy": "2024-06-25T15:04:08.790140Z", + "iopub.status.idle": "2024-06-25T15:04:08.804356Z", + "shell.execute_reply": "2024-06-25T15:04:08.803915Z" } }, "outputs": [], @@ -1050,10 +1050,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:11.779207Z", - "iopub.status.busy": "2024-06-19T19:16:11.778886Z", - "iopub.status.idle": "2024-06-19T19:16:12.249354Z", - "shell.execute_reply": "2024-06-19T19:16:12.248816Z" + "iopub.execute_input": "2024-06-25T15:04:08.806655Z", + "iopub.status.busy": "2024-06-25T15:04:08.806256Z", + "iopub.status.idle": "2024-06-25T15:04:09.295047Z", + "shell.execute_reply": "2024-06-25T15:04:09.294402Z" } }, "outputs": [], @@ -1073,10 +1073,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:16:12.251845Z", - "iopub.status.busy": "2024-06-19T19:16:12.251517Z", - "iopub.status.idle": "2024-06-19T19:19:39.980925Z", - "shell.execute_reply": "2024-06-19T19:19:39.980256Z" + "iopub.execute_input": "2024-06-25T15:04:09.297623Z", + "iopub.status.busy": "2024-06-25T15:04:09.297428Z", + "iopub.status.idle": "2024-06-25T15:05:47.679934Z", + "shell.execute_reply": "2024-06-25T15:05:47.679254Z" } }, "outputs": [ @@ -1092,8 +1092,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding outlier issues ...\n", - "Fitting OOD estimator based on provided features ...\n" + "Finding outlier issues ...\n" ] }, { @@ -1124,7 +1123,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2308418aed62421c9233f4e2fa36fb9f", + "model_id": "b5a738d901b14847af173bf44a11a398", "version_major": 2, "version_minor": 0 }, @@ -1163,10 +1162,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:39.983734Z", - "iopub.status.busy": "2024-06-19T19:19:39.983195Z", - "iopub.status.idle": "2024-06-19T19:19:40.447714Z", - "shell.execute_reply": "2024-06-19T19:19:40.447171Z" + "iopub.execute_input": "2024-06-25T15:05:47.682449Z", + "iopub.status.busy": "2024-06-25T15:05:47.681911Z", + "iopub.status.idle": "2024-06-25T15:05:48.146309Z", + "shell.execute_reply": "2024-06-25T15:05:48.145731Z" } }, "outputs": [ @@ -1312,10 +1311,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.450117Z", - "iopub.status.busy": "2024-06-19T19:19:40.449723Z", - "iopub.status.idle": "2024-06-19T19:19:40.512143Z", - "shell.execute_reply": "2024-06-19T19:19:40.511605Z" + "iopub.execute_input": "2024-06-25T15:05:48.149215Z", + "iopub.status.busy": "2024-06-25T15:05:48.148861Z", + "iopub.status.idle": "2024-06-25T15:05:48.212187Z", + "shell.execute_reply": "2024-06-25T15:05:48.211626Z" } }, "outputs": [ @@ -1419,10 +1418,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.514406Z", - "iopub.status.busy": "2024-06-19T19:19:40.514068Z", - "iopub.status.idle": "2024-06-19T19:19:40.523189Z", - "shell.execute_reply": "2024-06-19T19:19:40.522735Z" + "iopub.execute_input": "2024-06-25T15:05:48.214345Z", + "iopub.status.busy": "2024-06-25T15:05:48.214064Z", + "iopub.status.idle": "2024-06-25T15:05:48.223417Z", + "shell.execute_reply": "2024-06-25T15:05:48.222893Z" } }, "outputs": [ @@ -1552,10 +1551,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.525362Z", - "iopub.status.busy": "2024-06-19T19:19:40.525040Z", - "iopub.status.idle": "2024-06-19T19:19:40.529621Z", - "shell.execute_reply": "2024-06-19T19:19:40.529206Z" + "iopub.execute_input": "2024-06-25T15:05:48.225605Z", + "iopub.status.busy": "2024-06-25T15:05:48.225254Z", + "iopub.status.idle": "2024-06-25T15:05:48.229948Z", + "shell.execute_reply": "2024-06-25T15:05:48.229505Z" }, "nbsphinx": "hidden" }, @@ -1601,10 +1600,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:40.531669Z", - "iopub.status.busy": "2024-06-19T19:19:40.531264Z", - "iopub.status.idle": "2024-06-19T19:19:41.063093Z", - "shell.execute_reply": "2024-06-19T19:19:41.062479Z" + "iopub.execute_input": "2024-06-25T15:05:48.232009Z", + "iopub.status.busy": "2024-06-25T15:05:48.231676Z", + "iopub.status.idle": "2024-06-25T15:05:48.744254Z", + "shell.execute_reply": "2024-06-25T15:05:48.743663Z" } }, "outputs": [ @@ -1639,10 +1638,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.065685Z", - "iopub.status.busy": "2024-06-19T19:19:41.065259Z", - "iopub.status.idle": "2024-06-19T19:19:41.074202Z", - "shell.execute_reply": "2024-06-19T19:19:41.073628Z" + "iopub.execute_input": "2024-06-25T15:05:48.746722Z", + "iopub.status.busy": "2024-06-25T15:05:48.746346Z", + "iopub.status.idle": "2024-06-25T15:05:48.754911Z", + "shell.execute_reply": "2024-06-25T15:05:48.754430Z" } }, "outputs": [ @@ -1809,10 +1808,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:41.076872Z", - "iopub.status.busy": "2024-06-19T19:19:41.076293Z", - "iopub.status.idle": "2024-06-19T19:19:41.372691Z", - "shell.execute_reply": "2024-06-19T19:19:41.372060Z" + "iopub.execute_input": "2024-06-25T15:05:48.757038Z", + "iopub.status.busy": "2024-06-25T15:05:48.756726Z", + "iopub.status.idle": "2024-06-25T15:05:49.064663Z", + "shell.execute_reply": "2024-06-25T15:05:49.064032Z" }, "nbsphinx": "hidden" }, @@ -1888,10 +1887,10 @@ "execution_count": 22, "metadata": { "execution": { - 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    5. Use cleanlab to find label issues diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index 6b4af65a3..e8a4df96f 100644 --- a/master/tutorials/datalab/tabular.ipynb +++ b/master/tutorials/datalab/tabular.ipynb @@ -73,10 +73,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:46.667346Z", - "iopub.status.busy": "2024-06-19T19:19:46.667169Z", - "iopub.status.idle": "2024-06-19T19:19:47.816479Z", - "shell.execute_reply": "2024-06-19T19:19:47.815913Z" + "iopub.execute_input": "2024-06-25T15:05:54.306922Z", + "iopub.status.busy": "2024-06-25T15:05:54.306745Z", + "iopub.status.idle": "2024-06-25T15:05:55.467976Z", + "shell.execute_reply": "2024-06-25T15:05:55.467320Z" }, "nbsphinx": "hidden" }, @@ -86,7 +86,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -111,10 +111,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.819102Z", - "iopub.status.busy": "2024-06-19T19:19:47.818587Z", - "iopub.status.idle": "2024-06-19T19:19:47.837002Z", - "shell.execute_reply": "2024-06-19T19:19:47.836447Z" + "iopub.execute_input": "2024-06-25T15:05:55.471079Z", + "iopub.status.busy": "2024-06-25T15:05:55.470348Z", + "iopub.status.idle": "2024-06-25T15:05:55.490834Z", + "shell.execute_reply": "2024-06-25T15:05:55.490219Z" } }, "outputs": [], @@ -154,10 +154,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.839550Z", - "iopub.status.busy": "2024-06-19T19:19:47.839058Z", - "iopub.status.idle": "2024-06-19T19:19:47.863152Z", - "shell.execute_reply": "2024-06-19T19:19:47.862654Z" + "iopub.execute_input": "2024-06-25T15:05:55.493612Z", + "iopub.status.busy": "2024-06-25T15:05:55.493311Z", + "iopub.status.idle": "2024-06-25T15:05:55.517738Z", + "shell.execute_reply": "2024-06-25T15:05:55.517157Z" } }, "outputs": [ @@ -264,10 +264,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.865268Z", - "iopub.status.busy": "2024-06-19T19:19:47.865045Z", - "iopub.status.idle": "2024-06-19T19:19:47.868720Z", - "shell.execute_reply": "2024-06-19T19:19:47.868230Z" + "iopub.execute_input": "2024-06-25T15:05:55.520011Z", + "iopub.status.busy": "2024-06-25T15:05:55.519777Z", + "iopub.status.idle": "2024-06-25T15:05:55.523257Z", + "shell.execute_reply": "2024-06-25T15:05:55.522815Z" } }, "outputs": [], @@ -288,10 +288,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.870817Z", - "iopub.status.busy": "2024-06-19T19:19:47.870478Z", - "iopub.status.idle": "2024-06-19T19:19:47.878207Z", - "shell.execute_reply": "2024-06-19T19:19:47.877752Z" + "iopub.execute_input": "2024-06-25T15:05:55.525644Z", + "iopub.status.busy": "2024-06-25T15:05:55.525218Z", + "iopub.status.idle": "2024-06-25T15:05:55.533618Z", + "shell.execute_reply": "2024-06-25T15:05:55.533007Z" } }, "outputs": [], @@ -336,10 +336,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.880333Z", - "iopub.status.busy": "2024-06-19T19:19:47.879984Z", - "iopub.status.idle": "2024-06-19T19:19:47.882488Z", - "shell.execute_reply": "2024-06-19T19:19:47.882076Z" + "iopub.execute_input": "2024-06-25T15:05:55.536190Z", + "iopub.status.busy": "2024-06-25T15:05:55.535771Z", + "iopub.status.idle": "2024-06-25T15:05:55.538695Z", + "shell.execute_reply": "2024-06-25T15:05:55.538108Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:47.884365Z", - "iopub.status.busy": "2024-06-19T19:19:47.884103Z", - "iopub.status.idle": "2024-06-19T19:19:50.909780Z", - "shell.execute_reply": "2024-06-19T19:19:50.909234Z" + "iopub.execute_input": "2024-06-25T15:05:55.541004Z", + "iopub.status.busy": "2024-06-25T15:05:55.540659Z", + "iopub.status.idle": "2024-06-25T15:05:58.495881Z", + "shell.execute_reply": "2024-06-25T15:05:58.495234Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:50.912867Z", - "iopub.status.busy": "2024-06-19T19:19:50.912330Z", - "iopub.status.idle": "2024-06-19T19:19:50.922196Z", - "shell.execute_reply": "2024-06-19T19:19:50.921748Z" + "iopub.execute_input": "2024-06-25T15:05:58.498548Z", + "iopub.status.busy": "2024-06-25T15:05:58.498203Z", + "iopub.status.idle": "2024-06-25T15:05:58.507784Z", + "shell.execute_reply": "2024-06-25T15:05:58.507216Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:50.924645Z", - "iopub.status.busy": "2024-06-19T19:19:50.924292Z", - "iopub.status.idle": "2024-06-19T19:19:52.940110Z", - "shell.execute_reply": "2024-06-19T19:19:52.939416Z" + "iopub.execute_input": "2024-06-25T15:05:58.510041Z", + "iopub.status.busy": "2024-06-25T15:05:58.509728Z", + "iopub.status.idle": "2024-06-25T15:06:00.491912Z", + "shell.execute_reply": "2024-06-25T15:06:00.491223Z" } }, "outputs": [ @@ -484,10 +484,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.944415Z", - "iopub.status.busy": "2024-06-19T19:19:52.943217Z", - "iopub.status.idle": "2024-06-19T19:19:52.969078Z", - "shell.execute_reply": "2024-06-19T19:19:52.968546Z" + "iopub.execute_input": "2024-06-25T15:06:00.494590Z", + "iopub.status.busy": "2024-06-25T15:06:00.494034Z", + "iopub.status.idle": "2024-06-25T15:06:00.513034Z", + "shell.execute_reply": "2024-06-25T15:06:00.512539Z" }, "scrolled": true }, @@ -584,18 +584,18 @@ " \n", "\n", "Number of examples with this issue: 1\n", - "Overall dataset quality in terms of this issue: 0.0014\n", + "Overall dataset quality in terms of this issue: 0.0000\n", "\n", "Examples representing most severe instances of this issue:\n", " is_non_iid_issue non_iid_score\n", - "595 True 0.702427\n", - "147 False 0.711186\n", - "157 False 0.721394\n", - "771 False 0.731979\n", - "898 False 0.740335\n", + "865 True 0.515002\n", + "837 False 0.556480\n", + "622 False 0.593068\n", + "329 False 0.593207\n", + "920 False 0.618041\n", "\n", "Additional Information: \n", - "p-value: 0.0014153602099278074\n" + "p-value: 1.4386345844794593e-05\n" ] } ], @@ -617,10 +617,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.972783Z", - "iopub.status.busy": "2024-06-19T19:19:52.971838Z", - "iopub.status.idle": "2024-06-19T19:19:52.983218Z", - "shell.execute_reply": "2024-06-19T19:19:52.982732Z" + "iopub.execute_input": "2024-06-25T15:06:00.515386Z", + "iopub.status.busy": "2024-06-25T15:06:00.515022Z", + "iopub.status.idle": "2024-06-25T15:06:00.523252Z", + "shell.execute_reply": "2024-06-25T15:06:00.522727Z" } }, "outputs": [ @@ -724,10 +724,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.986726Z", - "iopub.status.busy": "2024-06-19T19:19:52.985784Z", - "iopub.status.idle": "2024-06-19T19:19:52.997408Z", - "shell.execute_reply": "2024-06-19T19:19:52.996969Z" + "iopub.execute_input": "2024-06-25T15:06:00.525561Z", + "iopub.status.busy": "2024-06-25T15:06:00.525221Z", + "iopub.status.idle": "2024-06-25T15:06:00.534686Z", + "shell.execute_reply": "2024-06-25T15:06:00.534222Z" } }, "outputs": [ @@ -856,10 +856,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:52.999597Z", - "iopub.status.busy": "2024-06-19T19:19:52.999222Z", - "iopub.status.idle": "2024-06-19T19:19:53.007248Z", - "shell.execute_reply": "2024-06-19T19:19:53.006767Z" + "iopub.execute_input": "2024-06-25T15:06:00.536849Z", + "iopub.status.busy": "2024-06-25T15:06:00.536513Z", + "iopub.status.idle": "2024-06-25T15:06:00.544451Z", + "shell.execute_reply": "2024-06-25T15:06:00.543983Z" } }, "outputs": [ @@ -973,10 +973,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.009311Z", - "iopub.status.busy": "2024-06-19T19:19:53.009014Z", - "iopub.status.idle": "2024-06-19T19:19:53.017621Z", - "shell.execute_reply": "2024-06-19T19:19:53.017179Z" + "iopub.execute_input": "2024-06-25T15:06:00.546708Z", + "iopub.status.busy": "2024-06-25T15:06:00.546375Z", + "iopub.status.idle": "2024-06-25T15:06:00.555743Z", + "shell.execute_reply": "2024-06-25T15:06:00.555283Z" } }, "outputs": [ @@ -1087,10 +1087,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.019530Z", - "iopub.status.busy": "2024-06-19T19:19:53.019357Z", - "iopub.status.idle": "2024-06-19T19:19:53.026882Z", - "shell.execute_reply": "2024-06-19T19:19:53.026349Z" + "iopub.execute_input": "2024-06-25T15:06:00.558037Z", + "iopub.status.busy": "2024-06-25T15:06:00.557741Z", + "iopub.status.idle": "2024-06-25T15:06:00.565082Z", + "shell.execute_reply": "2024-06-25T15:06:00.564551Z" } }, "outputs": [ @@ -1205,10 +1205,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.028966Z", - "iopub.status.busy": "2024-06-19T19:19:53.028783Z", - "iopub.status.idle": "2024-06-19T19:19:53.037252Z", - "shell.execute_reply": "2024-06-19T19:19:53.036822Z" + "iopub.execute_input": "2024-06-25T15:06:00.567302Z", + "iopub.status.busy": "2024-06-25T15:06:00.566989Z", + "iopub.status.idle": "2024-06-25T15:06:00.574328Z", + "shell.execute_reply": "2024-06-25T15:06:00.573785Z" } }, "outputs": [ @@ -1308,10 +1308,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:19:53.039425Z", - "iopub.status.busy": "2024-06-19T19:19:53.039101Z", - "iopub.status.idle": "2024-06-19T19:19:53.047347Z", - "shell.execute_reply": "2024-06-19T19:19:53.046924Z" + "iopub.execute_input": "2024-06-25T15:06:00.576415Z", + "iopub.status.busy": "2024-06-25T15:06:00.576086Z", + "iopub.status.idle": "2024-06-25T15:06:00.584022Z", + "shell.execute_reply": "2024-06-25T15:06:00.583560Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index ba72d8e31..6e0e074dd 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -782,7 +782,7 @@

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

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

    @@ -883,7 +883,6 @@

    4. Use cleanlab to find issues in your dataset2. Compute kNN Graph 
    -<5000x5000 sparse matrix of type '<class 'numpy.float32'>'
-        with 50000 stored elements in Compressed Sparse Row format>
+<Compressed Sparse Row sparse matrix of dtype 'float32'
+        with 50000 stored elements and shape (5000, 5000)>
    @@ -833,7 +833,7 @@

    4. Identify Data Issues Using Datalab @@ -888,13 +888,13 @@

    4. Identify Data Issues Using Datalab -

    • OutlierIssueManager(datalab[, threshold])

    OutlierIssueManager(datalab[, k, t, metric, ...])

    Manages issues related to out-of-distribution examples.

    find_issues([features, pred_probs])

    Finds occurrences of this particular issue in the dataset.

    collect_info(*, issue_threshold[, knn_graph])

    collect_info(*, issue_threshold, knn_graph)

    Collects data for the info attribute of the Datalab.

    make_summary(score)

    find_issues(pred_probs[, features, cluster_ids])

    Finds occurrences of this particular issue in the dataset.

    set_knn_graph(features, find_issues_kwargs)

    -
    rtype:
    -

    csr_matrix

    -
    -
    -

    perform_clustering(knn_graph)

    perform_clustering(knn_graph)

    Perform clustering of datapoints using a knn graph as distance matrix.

    filter_cluster_ids(cluster_ids)

    filter_cluster_ids(cluster_ids)

    Remove outlier clusters and return IDs of clusters with at least self.min_cluster_samples number of datapoints.

    get_worst_cluster(cluster_ids, ...)

    get_worst_cluster(cluster_ids, ...)

    Get ID and quality score of underperforming cluster.

    collect_info(knn_graph, n_clusters, ...)

    collect_info(knn_graph, n_clusters, ...)

    Collects data for the info attribute of the Datalab.

    make_summary(score)

    make_summary(score)

    Construct a summary dataframe.

    report(issues, summary, info[, ...])

    report(issues, summary, info[, ...])

    Compose a report of the issues found by this IssueManager.
    +
    - - - - - - - - - + + + + + + + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
     AgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_scoreAgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_score
    8nannannannannanNaTTrue0.000000
    1nanFemaleRural6421.1600005.000000NaTFalse0.666667
    9nanMaleRural4655.8200001.000000NaTFalse0.666667
    14nanMaleRural6790.4600003.000000NaTFalse0.666667
    13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
    15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
    056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
    246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
    332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
    460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
    525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
    638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
    756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
    1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
    1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
    1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
    1nanFemaleRural6421.1600005.000000NaTFalse0.666667
    9nanMaleRural4655.8200001.000000NaTFalse0.666667
    14nanMaleRural6790.4600003.000000NaTFalse0.666667
    13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
    15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
    056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
    246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
    332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
    460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
    525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
    638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
    756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
    1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
    1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
    1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.000000
    diff --git a/master/tutorials/datalab/workflows.ipynb b/master/tutorials/datalab/workflows.ipynb index e9f634a5d..59a8b0306 100644 --- a/master/tutorials/datalab/workflows.ipynb +++ b/master/tutorials/datalab/workflows.ipynb @@ -38,10 +38,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.228939Z", - "iopub.status.busy": "2024-06-19T19:20:09.228470Z", - "iopub.status.idle": "2024-06-19T19:20:09.669818Z", - "shell.execute_reply": "2024-06-19T19:20:09.669215Z" + "iopub.execute_input": "2024-06-25T15:06:16.357511Z", + "iopub.status.busy": "2024-06-25T15:06:16.357338Z", + "iopub.status.idle": "2024-06-25T15:06:16.782125Z", + "shell.execute_reply": "2024-06-25T15:06:16.781616Z" } }, "outputs": [], @@ -87,18 +87,18 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.672744Z", - "iopub.status.busy": "2024-06-19T19:20:09.672210Z", - "iopub.status.idle": "2024-06-19T19:20:09.809087Z", - "shell.execute_reply": "2024-06-19T19:20:09.808481Z" + "iopub.execute_input": "2024-06-25T15:06:16.784661Z", + "iopub.status.busy": "2024-06-25T15:06:16.784422Z", + "iopub.status.idle": "2024-06-25T15:06:16.913303Z", + "shell.execute_reply": "2024-06-25T15:06:16.912723Z" } }, "outputs": [ { "data": { "text/plain": [ - "<5000x5000 sparse matrix of type ''\n", - "\twith 50000 stored elements in Compressed Sparse Row format>" + "" ] }, "execution_count": 2, @@ -181,10 +181,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.811391Z", - "iopub.status.busy": "2024-06-19T19:20:09.810983Z", - "iopub.status.idle": "2024-06-19T19:20:09.832181Z", - "shell.execute_reply": "2024-06-19T19:20:09.831496Z" + "iopub.execute_input": "2024-06-25T15:06:16.915807Z", + "iopub.status.busy": "2024-06-25T15:06:16.915394Z", + "iopub.status.idle": "2024-06-25T15:06:16.935663Z", + "shell.execute_reply": "2024-06-25T15:06:16.935129Z" } }, "outputs": [], @@ -210,10 +210,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:09.835601Z", - "iopub.status.busy": "2024-06-19T19:20:09.835034Z", - "iopub.status.idle": "2024-06-19T19:20:12.770224Z", - "shell.execute_reply": "2024-06-19T19:20:12.769670Z" + "iopub.execute_input": "2024-06-25T15:06:16.938219Z", + "iopub.status.busy": "2024-06-25T15:06:16.937909Z", + "iopub.status.idle": "2024-06-25T15:06:19.826408Z", + "shell.execute_reply": "2024-06-25T15:06:19.825870Z" } }, "outputs": [ @@ -243,7 +243,7 @@ "Finding class_imbalance issues ...\n", "Finding underperforming_group issues ...\n", "\n", - "Audit complete. 523 issues found in the dataset.\n" + "Audit complete. 524 issues found in the dataset.\n" ] }, { @@ -296,13 +296,13 @@ " \n", " 2\n", " outlier\n", - " 0.356958\n", - " 362\n", + " 0.356924\n", + " 363\n", " \n", " \n", " 3\n", " near_duplicate\n", - " 0.619565\n", + " 0.619581\n", " 108\n", " \n", " \n", @@ -331,8 +331,8 @@ " issue_type score num_issues\n", "0 null 1.000000 0\n", "1 label 0.991400 52\n", - "2 outlier 0.356958 362\n", - "3 near_duplicate 0.619565 108\n", + "2 outlier 0.356924 363\n", + "3 near_duplicate 0.619581 108\n", "4 non_iid 0.000000 1\n", "5 class_imbalance 0.500000 0\n", "6 underperforming_group 0.651929 0" @@ -716,10 +716,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:12.772861Z", - "iopub.status.busy": "2024-06-19T19:20:12.772291Z", - "iopub.status.idle": "2024-06-19T19:20:20.893235Z", - "shell.execute_reply": "2024-06-19T19:20:20.892612Z" + "iopub.execute_input": "2024-06-25T15:06:19.829102Z", + "iopub.status.busy": "2024-06-25T15:06:19.828547Z", + "iopub.status.idle": "2024-06-25T15:06:27.884424Z", + "shell.execute_reply": "2024-06-25T15:06:27.883802Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:20.895454Z", - "iopub.status.busy": "2024-06-19T19:20:20.895085Z", - "iopub.status.idle": "2024-06-19T19:20:21.080578Z", - "shell.execute_reply": "2024-06-19T19:20:21.079989Z" + "iopub.execute_input": "2024-06-25T15:06:27.886797Z", + "iopub.status.busy": "2024-06-25T15:06:27.886448Z", + "iopub.status.idle": "2024-06-25T15:06:28.036685Z", + "shell.execute_reply": "2024-06-25T15:06:28.036171Z" } }, "outputs": [], @@ -854,10 +854,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:21.083140Z", - "iopub.status.busy": "2024-06-19T19:20:21.082757Z", - "iopub.status.idle": "2024-06-19T19:20:22.443060Z", - "shell.execute_reply": "2024-06-19T19:20:22.442549Z" + "iopub.execute_input": "2024-06-25T15:06:28.039086Z", + "iopub.status.busy": "2024-06-25T15:06:28.038885Z", + "iopub.status.idle": "2024-06-25T15:06:29.411474Z", + "shell.execute_reply": "2024-06-25T15:06:29.410868Z" } }, "outputs": [ @@ -1016,10 +1016,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.445433Z", - "iopub.status.busy": "2024-06-19T19:20:22.445039Z", - "iopub.status.idle": "2024-06-19T19:20:22.912135Z", - "shell.execute_reply": "2024-06-19T19:20:22.911505Z" + "iopub.execute_input": "2024-06-25T15:06:29.414021Z", + "iopub.status.busy": "2024-06-25T15:06:29.413520Z", + "iopub.status.idle": "2024-06-25T15:06:29.844054Z", + "shell.execute_reply": "2024-06-25T15:06:29.843434Z" } }, "outputs": [ @@ -1098,10 +1098,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.914513Z", - "iopub.status.busy": "2024-06-19T19:20:22.914016Z", - "iopub.status.idle": "2024-06-19T19:20:22.923076Z", - "shell.execute_reply": "2024-06-19T19:20:22.922641Z" + "iopub.execute_input": "2024-06-25T15:06:29.846611Z", + "iopub.status.busy": "2024-06-25T15:06:29.846082Z", + "iopub.status.idle": "2024-06-25T15:06:29.855501Z", + "shell.execute_reply": "2024-06-25T15:06:29.855053Z" } }, "outputs": [], @@ -1131,10 +1131,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.925387Z", - "iopub.status.busy": "2024-06-19T19:20:22.924938Z", - "iopub.status.idle": "2024-06-19T19:20:22.950519Z", - "shell.execute_reply": "2024-06-19T19:20:22.949866Z" + "iopub.execute_input": "2024-06-25T15:06:29.857684Z", + "iopub.status.busy": "2024-06-25T15:06:29.857342Z", + "iopub.status.idle": "2024-06-25T15:06:29.876701Z", + "shell.execute_reply": "2024-06-25T15:06:29.876240Z" } }, "outputs": [], @@ -1162,10 +1162,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:22.953417Z", - "iopub.status.busy": "2024-06-19T19:20:22.952958Z", - "iopub.status.idle": "2024-06-19T19:20:23.171694Z", - "shell.execute_reply": "2024-06-19T19:20:23.171151Z" + "iopub.execute_input": "2024-06-25T15:06:29.878886Z", + "iopub.status.busy": "2024-06-25T15:06:29.878539Z", + "iopub.status.idle": "2024-06-25T15:06:30.106388Z", + "shell.execute_reply": "2024-06-25T15:06:30.105851Z" } }, "outputs": [], @@ -1205,10 +1205,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.174445Z", - "iopub.status.busy": "2024-06-19T19:20:23.174034Z", - "iopub.status.idle": "2024-06-19T19:20:23.193976Z", - "shell.execute_reply": "2024-06-19T19:20:23.193453Z" + "iopub.execute_input": "2024-06-25T15:06:30.109063Z", + "iopub.status.busy": "2024-06-25T15:06:30.108673Z", + "iopub.status.idle": "2024-06-25T15:06:30.128840Z", + "shell.execute_reply": "2024-06-25T15:06:30.128348Z" } }, "outputs": [ @@ -1406,10 +1406,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.196426Z", - "iopub.status.busy": "2024-06-19T19:20:23.195868Z", - "iopub.status.idle": "2024-06-19T19:20:23.365274Z", - "shell.execute_reply": "2024-06-19T19:20:23.364696Z" + "iopub.execute_input": "2024-06-25T15:06:30.131036Z", + "iopub.status.busy": "2024-06-25T15:06:30.130679Z", + "iopub.status.idle": "2024-06-25T15:06:30.299607Z", + "shell.execute_reply": "2024-06-25T15:06:30.299018Z" } }, "outputs": [ @@ -1476,10 +1476,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.367857Z", - "iopub.status.busy": "2024-06-19T19:20:23.367490Z", - "iopub.status.idle": "2024-06-19T19:20:23.378001Z", - "shell.execute_reply": "2024-06-19T19:20:23.377517Z" + "iopub.execute_input": "2024-06-25T15:06:30.302247Z", + "iopub.status.busy": "2024-06-25T15:06:30.301878Z", + "iopub.status.idle": "2024-06-25T15:06:30.312262Z", + "shell.execute_reply": "2024-06-25T15:06:30.311779Z" } }, "outputs": [ @@ -1745,10 +1745,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.380131Z", - "iopub.status.busy": "2024-06-19T19:20:23.379763Z", - "iopub.status.idle": "2024-06-19T19:20:23.389467Z", - "shell.execute_reply": "2024-06-19T19:20:23.388989Z" + "iopub.execute_input": "2024-06-25T15:06:30.314328Z", + "iopub.status.busy": "2024-06-25T15:06:30.314138Z", + "iopub.status.idle": "2024-06-25T15:06:30.324056Z", + "shell.execute_reply": "2024-06-25T15:06:30.323583Z" } }, "outputs": [ @@ -1935,10 +1935,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.391686Z", - "iopub.status.busy": "2024-06-19T19:20:23.391320Z", - "iopub.status.idle": "2024-06-19T19:20:23.422362Z", - "shell.execute_reply": "2024-06-19T19:20:23.421838Z" + "iopub.execute_input": "2024-06-25T15:06:30.326026Z", + "iopub.status.busy": "2024-06-25T15:06:30.325841Z", + "iopub.status.idle": "2024-06-25T15:06:30.369881Z", + "shell.execute_reply": "2024-06-25T15:06:30.369243Z" } }, "outputs": [], @@ -1972,10 +1972,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.424816Z", - "iopub.status.busy": "2024-06-19T19:20:23.424440Z", - "iopub.status.idle": "2024-06-19T19:20:23.427346Z", - "shell.execute_reply": "2024-06-19T19:20:23.426883Z" + "iopub.execute_input": "2024-06-25T15:06:30.372404Z", + "iopub.status.busy": "2024-06-25T15:06:30.372025Z", + "iopub.status.idle": "2024-06-25T15:06:30.375453Z", + "shell.execute_reply": "2024-06-25T15:06:30.375013Z" } }, "outputs": [], @@ -1997,10 +1997,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.429536Z", - "iopub.status.busy": "2024-06-19T19:20:23.429099Z", - "iopub.status.idle": "2024-06-19T19:20:23.449596Z", - "shell.execute_reply": "2024-06-19T19:20:23.449011Z" + "iopub.execute_input": "2024-06-25T15:06:30.377426Z", + "iopub.status.busy": "2024-06-25T15:06:30.377231Z", + "iopub.status.idle": "2024-06-25T15:06:30.399073Z", + "shell.execute_reply": "2024-06-25T15:06:30.398517Z" } }, "outputs": [ @@ -2158,10 +2158,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.452107Z", - "iopub.status.busy": "2024-06-19T19:20:23.451668Z", - "iopub.status.idle": "2024-06-19T19:20:23.456230Z", - "shell.execute_reply": "2024-06-19T19:20:23.455738Z" + "iopub.execute_input": "2024-06-25T15:06:30.401795Z", + "iopub.status.busy": "2024-06-25T15:06:30.401389Z", + "iopub.status.idle": "2024-06-25T15:06:30.406701Z", + "shell.execute_reply": "2024-06-25T15:06:30.406177Z" } }, "outputs": [], @@ -2194,10 +2194,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.458405Z", - "iopub.status.busy": "2024-06-19T19:20:23.458046Z", - "iopub.status.idle": "2024-06-19T19:20:23.486463Z", - "shell.execute_reply": "2024-06-19T19:20:23.485941Z" + "iopub.execute_input": "2024-06-25T15:06:30.409221Z", + "iopub.status.busy": "2024-06-25T15:06:30.408832Z", + "iopub.status.idle": "2024-06-25T15:06:30.439954Z", + "shell.execute_reply": "2024-06-25T15:06:30.439347Z" } }, "outputs": [ @@ -2343,10 +2343,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.488681Z", - "iopub.status.busy": "2024-06-19T19:20:23.488318Z", - "iopub.status.idle": "2024-06-19T19:20:23.869947Z", - "shell.execute_reply": "2024-06-19T19:20:23.869318Z" + "iopub.execute_input": "2024-06-25T15:06:30.442144Z", + "iopub.status.busy": "2024-06-25T15:06:30.441952Z", + "iopub.status.idle": "2024-06-25T15:06:30.815142Z", + "shell.execute_reply": "2024-06-25T15:06:30.814539Z" } }, "outputs": [ @@ -2413,10 +2413,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.872612Z", - "iopub.status.busy": "2024-06-19T19:20:23.872141Z", - "iopub.status.idle": "2024-06-19T19:20:23.875777Z", - "shell.execute_reply": "2024-06-19T19:20:23.875191Z" + "iopub.execute_input": "2024-06-25T15:06:30.817449Z", + "iopub.status.busy": "2024-06-25T15:06:30.817032Z", + "iopub.status.idle": "2024-06-25T15:06:30.820380Z", + "shell.execute_reply": "2024-06-25T15:06:30.819817Z" } }, "outputs": [ @@ -2467,10 +2467,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.878097Z", - "iopub.status.busy": "2024-06-19T19:20:23.877890Z", - "iopub.status.idle": "2024-06-19T19:20:23.891740Z", - "shell.execute_reply": "2024-06-19T19:20:23.891169Z" + "iopub.execute_input": "2024-06-25T15:06:30.822583Z", + "iopub.status.busy": "2024-06-25T15:06:30.822235Z", + "iopub.status.idle": "2024-06-25T15:06:30.835457Z", + "shell.execute_reply": "2024-06-25T15:06:30.835004Z" } }, "outputs": [ @@ -2749,10 +2749,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.893864Z", - "iopub.status.busy": "2024-06-19T19:20:23.893673Z", - "iopub.status.idle": "2024-06-19T19:20:23.907800Z", - "shell.execute_reply": "2024-06-19T19:20:23.907313Z" + "iopub.execute_input": "2024-06-25T15:06:30.837603Z", + "iopub.status.busy": "2024-06-25T15:06:30.837185Z", + "iopub.status.idle": "2024-06-25T15:06:30.850826Z", + "shell.execute_reply": "2024-06-25T15:06:30.850267Z" } }, "outputs": [ @@ -3019,10 +3019,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.910005Z", - "iopub.status.busy": "2024-06-19T19:20:23.909657Z", - "iopub.status.idle": "2024-06-19T19:20:23.920159Z", - "shell.execute_reply": "2024-06-19T19:20:23.919682Z" + "iopub.execute_input": "2024-06-25T15:06:30.852964Z", + "iopub.status.busy": "2024-06-25T15:06:30.852527Z", + "iopub.status.idle": "2024-06-25T15:06:30.862344Z", + "shell.execute_reply": "2024-06-25T15:06:30.861912Z" } }, "outputs": [], @@ -3047,10 +3047,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.922419Z", - "iopub.status.busy": "2024-06-19T19:20:23.922093Z", - "iopub.status.idle": "2024-06-19T19:20:23.931857Z", - "shell.execute_reply": "2024-06-19T19:20:23.931334Z" + "iopub.execute_input": "2024-06-25T15:06:30.864398Z", + "iopub.status.busy": "2024-06-25T15:06:30.864010Z", + "iopub.status.idle": "2024-06-25T15:06:30.873707Z", + "shell.execute_reply": "2024-06-25T15:06:30.873163Z" } }, "outputs": [ @@ -3222,10 +3222,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.934010Z", - "iopub.status.busy": "2024-06-19T19:20:23.933660Z", - "iopub.status.idle": "2024-06-19T19:20:23.937719Z", - "shell.execute_reply": "2024-06-19T19:20:23.937199Z" + "iopub.execute_input": "2024-06-25T15:06:30.875692Z", + "iopub.status.busy": "2024-06-25T15:06:30.875500Z", + "iopub.status.idle": "2024-06-25T15:06:30.879148Z", + "shell.execute_reply": "2024-06-25T15:06:30.878702Z" } }, "outputs": [], @@ -3257,10 +3257,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.940084Z", - "iopub.status.busy": "2024-06-19T19:20:23.939696Z", - "iopub.status.idle": "2024-06-19T19:20:23.992835Z", - "shell.execute_reply": "2024-06-19T19:20:23.992215Z" + "iopub.execute_input": "2024-06-25T15:06:30.881201Z", + "iopub.status.busy": "2024-06-25T15:06:30.880889Z", + "iopub.status.idle": "2024-06-25T15:06:30.933604Z", + "shell.execute_reply": "2024-06-25T15:06:30.933024Z" } }, "outputs": [ @@ -3268,230 +3268,230 @@ "data": { "text/html": [ "\n", - "\n", + "
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     AgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_scoreAgeGenderLocationAnnual_SpendingNumber_of_TransactionsLast_Purchase_Date|is_null_issuenull_score
    8nannannannannanNaTTrue0.000000
    1nanFemaleRural6421.1600005.000000NaTFalse0.666667
    9nanMaleRural4655.8200001.000000NaTFalse0.666667
    14nanMaleRural6790.4600003.000000NaTFalse0.666667
    13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
    15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
    056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
    246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
    332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
    460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
    525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
    638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
    756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
    1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
    1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
    1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.0000008nannannannannanNaTTrue0.000000
    1nanFemaleRural6421.1600005.000000NaTFalse0.666667
    9nanMaleRural4655.8200001.000000NaTFalse0.666667
    14nanMaleRural6790.4600003.000000NaTFalse0.666667
    13nanMaleUrban9167.4700004.0000002024-01-02 00:00:00False0.833333
    15nanOtherRural5327.9600008.0000002024-01-03 00:00:00False0.833333
    056.000000OtherRural4099.6200003.0000002024-01-03 00:00:00False1.000000
    246.000000MaleSuburban5436.5500003.0000002024-02-26 00:00:00False1.000000
    332.000000FemaleRural4046.6600003.0000002024-03-23 00:00:00False1.000000
    460.000000FemaleSuburban3467.6700006.0000002024-03-01 00:00:00False1.000000
    525.000000FemaleSuburban4757.3700004.0000002024-01-03 00:00:00False1.000000
    638.000000FemaleRural4199.5300006.0000002024-01-03 00:00:00False1.000000
    756.000000MaleSuburban4991.7100006.0000002024-04-03 00:00:00False1.000000
    1040.000000FemaleRural5584.0200007.0000002024-03-29 00:00:00False1.000000
    1128.000000FemaleUrban3102.3200002.0000002024-04-07 00:00:00False1.000000
    1228.000000MaleRural6637.99000011.0000002024-04-08 00:00:00False1.000000
    \n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3567,10 +3567,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:23.995486Z", - "iopub.status.busy": "2024-06-19T19:20:23.994935Z", - "iopub.status.idle": "2024-06-19T19:20:24.001075Z", - "shell.execute_reply": "2024-06-19T19:20:24.000509Z" + "iopub.execute_input": "2024-06-25T15:06:30.936004Z", + "iopub.status.busy": "2024-06-25T15:06:30.935597Z", + "iopub.status.idle": "2024-06-25T15:06:30.941530Z", + "shell.execute_reply": "2024-06-25T15:06:30.940983Z" } }, "outputs": [], @@ -3609,10 +3609,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.003425Z", - "iopub.status.busy": "2024-06-19T19:20:24.003027Z", - "iopub.status.idle": "2024-06-19T19:20:24.015572Z", - "shell.execute_reply": "2024-06-19T19:20:24.014974Z" + "iopub.execute_input": "2024-06-25T15:06:30.943525Z", + "iopub.status.busy": "2024-06-25T15:06:30.943342Z", + "iopub.status.idle": "2024-06-25T15:06:30.955301Z", + "shell.execute_reply": "2024-06-25T15:06:30.954811Z" } }, "outputs": [ @@ -3648,10 +3648,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.017952Z", - "iopub.status.busy": "2024-06-19T19:20:24.017605Z", - "iopub.status.idle": "2024-06-19T19:20:24.237620Z", - "shell.execute_reply": "2024-06-19T19:20:24.237034Z" + "iopub.execute_input": "2024-06-25T15:06:30.957425Z", + "iopub.status.busy": "2024-06-25T15:06:30.957237Z", + "iopub.status.idle": "2024-06-25T15:06:31.141088Z", + "shell.execute_reply": "2024-06-25T15:06:31.140485Z" } }, "outputs": [ @@ -3703,10 +3703,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:24.239799Z", - "iopub.status.busy": "2024-06-19T19:20:24.239603Z", - "iopub.status.idle": "2024-06-19T19:20:24.247776Z", - "shell.execute_reply": "2024-06-19T19:20:24.247209Z" + "iopub.execute_input": "2024-06-25T15:06:31.143349Z", + "iopub.status.busy": "2024-06-25T15:06:31.143165Z", + "iopub.status.idle": "2024-06-25T15:06:31.151178Z", + "shell.execute_reply": "2024-06-25T15:06:31.150714Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index 227b3b27f..0961ceb6a 100644 --- a/master/tutorials/dataset_health.ipynb +++ b/master/tutorials/dataset_health.ipynb @@ -70,10 +70,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:27.778079Z", - "iopub.status.busy": "2024-06-19T19:20:27.777878Z", - "iopub.status.idle": "2024-06-19T19:20:28.926307Z", - "shell.execute_reply": "2024-06-19T19:20:28.925749Z" + "iopub.execute_input": "2024-06-25T15:06:34.657906Z", + "iopub.status.busy": "2024-06-25T15:06:34.657727Z", + "iopub.status.idle": "2024-06-25T15:06:35.814256Z", + "shell.execute_reply": "2024-06-25T15:06:35.813750Z" }, "nbsphinx": "hidden" }, @@ -85,7 +85,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -110,10 +110,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.929078Z", - "iopub.status.busy": "2024-06-19T19:20:28.928525Z", - "iopub.status.idle": "2024-06-19T19:20:28.931516Z", - "shell.execute_reply": "2024-06-19T19:20:28.930965Z" + "iopub.execute_input": "2024-06-25T15:06:35.816783Z", + "iopub.status.busy": "2024-06-25T15:06:35.816461Z", + "iopub.status.idle": "2024-06-25T15:06:35.819405Z", + "shell.execute_reply": "2024-06-25T15:06:35.818866Z" }, "id": "_UvI80l42iyi" }, @@ -203,10 +203,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.933864Z", - "iopub.status.busy": "2024-06-19T19:20:28.933647Z", - "iopub.status.idle": "2024-06-19T19:20:28.945880Z", - "shell.execute_reply": "2024-06-19T19:20:28.945418Z" + "iopub.execute_input": "2024-06-25T15:06:35.821594Z", + "iopub.status.busy": "2024-06-25T15:06:35.821369Z", + "iopub.status.idle": "2024-06-25T15:06:35.833892Z", + "shell.execute_reply": "2024-06-25T15:06:35.833341Z" }, "nbsphinx": "hidden" }, @@ -285,10 +285,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:28.948011Z", - "iopub.status.busy": "2024-06-19T19:20:28.947713Z", - "iopub.status.idle": "2024-06-19T19:20:33.050909Z", - "shell.execute_reply": "2024-06-19T19:20:33.050438Z" + "iopub.execute_input": "2024-06-25T15:06:35.836172Z", + "iopub.status.busy": "2024-06-25T15:06:35.835850Z", + "iopub.status.idle": "2024-06-25T15:06:41.594468Z", + "shell.execute_reply": "2024-06-25T15:06:41.593884Z" }, "id": "dhTHOg8Pyv5G" }, @@ -694,7 +694,13 @@ "\n", "\n", "🎯 Mnist_test_set 🎯\n", - "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\n", "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n", "\n", diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 7ccb5f992..293277928 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -822,13 +822,13 @@

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

    -
    +
    -
    +
    @@ -1660,7 +1660,7 @@

    How to handle near-duplicate data identified by Datalab? 
    -/tmp/ipykernel_8136/1995098996.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_7631/1995098996.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

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

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

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

    diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index e3433290e..95950f3ed 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:35.348749Z", - "iopub.status.busy": "2024-06-19T19:20:35.348229Z", - "iopub.status.idle": "2024-06-19T19:20:36.499838Z", - "shell.execute_reply": "2024-06-19T19:20:36.499274Z" + "iopub.execute_input": "2024-06-25T15:06:43.789570Z", + "iopub.status.busy": "2024-06-25T15:06:43.789391Z", + "iopub.status.idle": "2024-06-25T15:06:44.946295Z", + "shell.execute_reply": "2024-06-25T15:06:44.945642Z" }, "nbsphinx": "hidden" }, @@ -137,10 +137,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:36.502640Z", - "iopub.status.busy": "2024-06-19T19:20:36.502173Z", - "iopub.status.idle": "2024-06-19T19:20:36.505598Z", - "shell.execute_reply": "2024-06-19T19:20:36.505129Z" + "iopub.execute_input": "2024-06-25T15:06:44.949199Z", + "iopub.status.busy": "2024-06-25T15:06:44.948725Z", + "iopub.status.idle": "2024-06-25T15:06:44.952300Z", + "shell.execute_reply": "2024-06-25T15:06:44.951754Z" } }, "outputs": [], @@ -176,10 +176,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:36.507500Z", - "iopub.status.busy": "2024-06-19T19:20:36.507231Z", - "iopub.status.idle": "2024-06-19T19:20:39.749988Z", - "shell.execute_reply": "2024-06-19T19:20:39.749377Z" + "iopub.execute_input": "2024-06-25T15:06:44.955089Z", + "iopub.status.busy": "2024-06-25T15:06:44.954818Z", + "iopub.status.idle": "2024-06-25T15:06:48.262608Z", + "shell.execute_reply": "2024-06-25T15:06:48.261846Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.753092Z", - "iopub.status.busy": "2024-06-19T19:20:39.752345Z", - "iopub.status.idle": "2024-06-19T19:20:39.790210Z", - "shell.execute_reply": "2024-06-19T19:20:39.789626Z" + "iopub.execute_input": "2024-06-25T15:06:48.265713Z", + "iopub.status.busy": "2024-06-25T15:06:48.265081Z", + "iopub.status.idle": "2024-06-25T15:06:48.307221Z", + "shell.execute_reply": "2024-06-25T15:06:48.306620Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.792710Z", - "iopub.status.busy": "2024-06-19T19:20:39.792407Z", - "iopub.status.idle": "2024-06-19T19:20:39.824707Z", - "shell.execute_reply": "2024-06-19T19:20:39.824092Z" + "iopub.execute_input": "2024-06-25T15:06:48.309865Z", + "iopub.status.busy": "2024-06-25T15:06:48.309483Z", + "iopub.status.idle": "2024-06-25T15:06:48.345475Z", + "shell.execute_reply": "2024-06-25T15:06:48.344853Z" } }, "outputs": [], @@ -253,10 +253,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.827297Z", - "iopub.status.busy": "2024-06-19T19:20:39.826994Z", - "iopub.status.idle": "2024-06-19T19:20:39.829929Z", - "shell.execute_reply": "2024-06-19T19:20:39.829489Z" + "iopub.execute_input": "2024-06-25T15:06:48.348514Z", + "iopub.status.busy": "2024-06-25T15:06:48.347972Z", + "iopub.status.idle": "2024-06-25T15:06:48.351300Z", + "shell.execute_reply": "2024-06-25T15:06:48.350810Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.831929Z", - "iopub.status.busy": "2024-06-19T19:20:39.831606Z", - "iopub.status.idle": "2024-06-19T19:20:39.834113Z", - "shell.execute_reply": "2024-06-19T19:20:39.833687Z" + "iopub.execute_input": "2024-06-25T15:06:48.353576Z", + "iopub.status.busy": "2024-06-25T15:06:48.353144Z", + "iopub.status.idle": "2024-06-25T15:06:48.356009Z", + "shell.execute_reply": "2024-06-25T15:06:48.355516Z" } }, "outputs": [], @@ -363,10 +363,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.836224Z", - "iopub.status.busy": "2024-06-19T19:20:39.835895Z", - "iopub.status.idle": "2024-06-19T19:20:39.861835Z", - "shell.execute_reply": "2024-06-19T19:20:39.861261Z" + "iopub.execute_input": "2024-06-25T15:06:48.358153Z", + "iopub.status.busy": "2024-06-25T15:06:48.357768Z", + "iopub.status.idle": "2024-06-25T15:06:48.384527Z", + "shell.execute_reply": "2024-06-25T15:06:48.383935Z" } }, "outputs": [ @@ -380,7 +380,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "065286a74e154e239323d7d6e8bd5aa1", + "model_id": "5e032993778040f9ad18b79b64feb24b", "version_major": 2, "version_minor": 0 }, @@ -394,7 +394,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "38a86ba6b1f545fda4e24ffabf187487", + "model_id": "9218cc3eea7a4d8b904a7cd4bd943053", "version_major": 2, "version_minor": 0 }, @@ -452,10 +452,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.866602Z", - "iopub.status.busy": "2024-06-19T19:20:39.866304Z", - "iopub.status.idle": "2024-06-19T19:20:39.872843Z", - "shell.execute_reply": "2024-06-19T19:20:39.872361Z" + "iopub.execute_input": "2024-06-25T15:06:48.388922Z", + "iopub.status.busy": "2024-06-25T15:06:48.388562Z", + "iopub.status.idle": "2024-06-25T15:06:48.395503Z", + "shell.execute_reply": "2024-06-25T15:06:48.395071Z" }, "nbsphinx": "hidden" }, @@ -486,10 +486,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.874911Z", - "iopub.status.busy": "2024-06-19T19:20:39.874583Z", - "iopub.status.idle": "2024-06-19T19:20:39.878063Z", - "shell.execute_reply": "2024-06-19T19:20:39.877529Z" + "iopub.execute_input": "2024-06-25T15:06:48.397514Z", + "iopub.status.busy": "2024-06-25T15:06:48.397197Z", + "iopub.status.idle": "2024-06-25T15:06:48.400710Z", + "shell.execute_reply": "2024-06-25T15:06:48.400164Z" }, "nbsphinx": "hidden" }, @@ -512,10 +512,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.880046Z", - "iopub.status.busy": "2024-06-19T19:20:39.879744Z", - "iopub.status.idle": "2024-06-19T19:20:39.886042Z", - "shell.execute_reply": "2024-06-19T19:20:39.885587Z" + "iopub.execute_input": "2024-06-25T15:06:48.402718Z", + "iopub.status.busy": "2024-06-25T15:06:48.402392Z", + "iopub.status.idle": "2024-06-25T15:06:48.408634Z", + "shell.execute_reply": "2024-06-25T15:06:48.408184Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.887853Z", - "iopub.status.busy": "2024-06-19T19:20:39.887649Z", - "iopub.status.idle": "2024-06-19T19:20:39.925739Z", - "shell.execute_reply": "2024-06-19T19:20:39.925134Z" + "iopub.execute_input": "2024-06-25T15:06:48.410673Z", + "iopub.status.busy": "2024-06-25T15:06:48.410242Z", + "iopub.status.idle": "2024-06-25T15:06:48.452692Z", + "shell.execute_reply": "2024-06-25T15:06:48.452072Z" } }, "outputs": [], @@ -585,10 +585,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.928431Z", - "iopub.status.busy": "2024-06-19T19:20:39.927979Z", - "iopub.status.idle": "2024-06-19T19:20:39.963990Z", - "shell.execute_reply": "2024-06-19T19:20:39.963389Z" + "iopub.execute_input": "2024-06-25T15:06:48.455295Z", + "iopub.status.busy": "2024-06-25T15:06:48.454984Z", + "iopub.status.idle": "2024-06-25T15:06:48.496629Z", + "shell.execute_reply": "2024-06-25T15:06:48.495955Z" }, "nbsphinx": "hidden" }, @@ -667,10 +667,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:39.966921Z", - "iopub.status.busy": "2024-06-19T19:20:39.966463Z", - "iopub.status.idle": "2024-06-19T19:20:40.093718Z", - "shell.execute_reply": "2024-06-19T19:20:40.093116Z" + "iopub.execute_input": "2024-06-25T15:06:48.499666Z", + "iopub.status.busy": "2024-06-25T15:06:48.499200Z", + "iopub.status.idle": "2024-06-25T15:06:48.626995Z", + "shell.execute_reply": "2024-06-25T15:06:48.626413Z" } }, "outputs": [ @@ -737,10 +737,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:40.096444Z", - "iopub.status.busy": "2024-06-19T19:20:40.095877Z", - "iopub.status.idle": "2024-06-19T19:20:43.198768Z", - "shell.execute_reply": "2024-06-19T19:20:43.198152Z" + "iopub.execute_input": "2024-06-25T15:06:48.629793Z", + "iopub.status.busy": "2024-06-25T15:06:48.629137Z", + "iopub.status.idle": "2024-06-25T15:06:51.676502Z", + "shell.execute_reply": "2024-06-25T15:06:51.675817Z" } }, "outputs": [ @@ -826,10 +826,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.201399Z", - "iopub.status.busy": "2024-06-19T19:20:43.200946Z", - "iopub.status.idle": "2024-06-19T19:20:43.265651Z", - "shell.execute_reply": "2024-06-19T19:20:43.265091Z" + "iopub.execute_input": "2024-06-25T15:06:51.679482Z", + "iopub.status.busy": "2024-06-25T15:06:51.678959Z", + "iopub.status.idle": "2024-06-25T15:06:51.739238Z", + "shell.execute_reply": "2024-06-25T15:06:51.738647Z" } }, "outputs": [ @@ -1285,10 +1285,10 @@ "id": "af3052ac", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.267919Z", - "iopub.status.busy": "2024-06-19T19:20:43.267572Z", - "iopub.status.idle": "2024-06-19T19:20:43.309659Z", - "shell.execute_reply": "2024-06-19T19:20:43.309121Z" + "iopub.execute_input": "2024-06-25T15:06:51.741437Z", + "iopub.status.busy": "2024-06-25T15:06:51.741240Z", + "iopub.status.idle": "2024-06-25T15:06:51.782843Z", + "shell.execute_reply": "2024-06-25T15:06:51.782290Z" } }, "outputs": [ @@ -1319,7 +1319,7 @@ }, { "cell_type": "markdown", - "id": "fbacef5a", + "id": "d52f5db0", "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": "f6481b70", + "id": "6bf6b75a", "metadata": {}, "source": [ "The instructions for specifying pre-computed data slices/clusters when detecting underperforming groups in a dataset are now covered in detail in the Datalab workflows tutorial.\n", @@ -1338,7 +1338,7 @@ }, { "cell_type": "markdown", - "id": "9735d2e7", + "id": "c3402fd6", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by Datalab?\n", @@ -1349,13 +1349,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "a68e9114", + "id": "311ad9c3", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.312214Z", - "iopub.status.busy": "2024-06-19T19:20:43.311753Z", - "iopub.status.idle": "2024-06-19T19:20:43.319623Z", - "shell.execute_reply": "2024-06-19T19:20:43.319049Z" + "iopub.execute_input": "2024-06-25T15:06:51.785201Z", + "iopub.status.busy": "2024-06-25T15:06:51.785000Z", + "iopub.status.idle": "2024-06-25T15:06:51.793009Z", + "shell.execute_reply": "2024-06-25T15:06:51.792520Z" } }, "outputs": [], @@ -1457,7 +1457,7 @@ }, { "cell_type": "markdown", - "id": "cfc6c771", + "id": "4b7ae88d", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1472,13 +1472,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "eef8ea41", + "id": "214c1a87", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.321962Z", - "iopub.status.busy": "2024-06-19T19:20:43.321591Z", - "iopub.status.idle": "2024-06-19T19:20:43.341421Z", - "shell.execute_reply": "2024-06-19T19:20:43.340818Z" + "iopub.execute_input": "2024-06-25T15:06:51.794999Z", + "iopub.status.busy": "2024-06-25T15:06:51.794816Z", + "iopub.status.idle": "2024-06-25T15:06:51.815495Z", + "shell.execute_reply": "2024-06-25T15:06:51.814899Z" } }, "outputs": [ @@ -1495,7 +1495,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_8136/1995098996.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_7631/1995098996.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" ] } @@ -1529,13 +1529,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "7aa927b6", + "id": "a552d436", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:20:43.343688Z", - "iopub.status.busy": "2024-06-19T19:20:43.343287Z", - "iopub.status.idle": "2024-06-19T19:20:43.346791Z", - "shell.execute_reply": "2024-06-19T19:20:43.346258Z" + "iopub.execute_input": "2024-06-25T15:06:51.817589Z", + "iopub.status.busy": "2024-06-25T15:06:51.817394Z", + "iopub.status.idle": "2024-06-25T15:06:51.820759Z", + "shell.execute_reply": "2024-06-25T15:06:51.820237Z" } }, "outputs": [ @@ -1630,7 +1630,25 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0379a9a769b74f918f3cb1e7535b74c2": { + "021d7d409a774a92955e7e4fbdd2f000": { + "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 + } + }, + "0bcbd8793ddd4cdeb051f08ed04b9385": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1683,31 +1701,7 @@ "width": null } }, - 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    Workflow 1: Use Datalab to detect many types of issues2. Pre-process the Cifar10 dataset 
    -100%|██████████| 170498071/170498071 [00:01<00:00, 91550653.75it/s]
+100%|██████████| 170498071/170498071 [00:01<00:00, 88744795.96it/s]

    @@ -901,7 +901,7 @@

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

    -
    +
    @@ -1115,7 +1115,7 @@

    4. Use cleanlab and here.

    diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb index c3f7f1e62..628e37325 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:29.120493Z", - "iopub.status.busy": "2024-06-19T19:21:29.119912Z", - "iopub.status.idle": "2024-06-19T19:21:31.933775Z", - "shell.execute_reply": "2024-06-19T19:21:31.933128Z" + "iopub.execute_input": "2024-06-25T15:07:39.206096Z", + "iopub.status.busy": "2024-06-25T15:07:39.205590Z", + "iopub.status.idle": "2024-06-25T15:07:42.210777Z", + "shell.execute_reply": "2024-06-25T15:07:42.210255Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:21:31.936732Z", - "iopub.status.busy": "2024-06-19T19:21:31.936246Z", - "iopub.status.idle": "2024-06-19T19:21:32.274001Z", - "shell.execute_reply": "2024-06-19T19:21:32.273500Z" + "iopub.execute_input": "2024-06-25T15:07:42.213460Z", + "iopub.status.busy": "2024-06-25T15:07:42.213004Z", + "iopub.status.idle": "2024-06-25T15:07:42.560062Z", + "shell.execute_reply": "2024-06-25T15:07:42.559409Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:32.276508Z", - "iopub.status.busy": "2024-06-19T19:21:32.276105Z", - "iopub.status.idle": "2024-06-19T19:21:32.280247Z", - "shell.execute_reply": "2024-06-19T19:21:32.279783Z" + "iopub.execute_input": "2024-06-25T15:07:42.562840Z", + "iopub.status.busy": "2024-06-25T15:07:42.562287Z", + "iopub.status.idle": "2024-06-25T15:07:42.566702Z", + "shell.execute_reply": "2024-06-25T15:07:42.566159Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - 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" 18%|█▊ | 30113792/170498071 [00:00<00:01, 83516379.16it/s]" + " 18%|█▊ | 30932992/170498071 [00:00<00:01, 88273292.38it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 39419904/170498071 [00:00<00:01, 86703889.29it/s]" + " 24%|██▍ | 41320448/170498071 [00:00<00:01, 93828843.91it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 48726016/170498071 [00:00<00:01, 88771798.18it/s]" + " 30%|███ | 51904512/170498071 [00:00<00:01, 97766525.28it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 59015168/170498071 [00:00<00:01, 93366717.63it/s]" + " 36%|███▋ | 62095360/170498071 [00:00<00:01, 99063313.45it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 68354048/170498071 [00:00<00:01, 90460697.58it/s]" + " 42%|████▏ | 72450048/170498071 [00:00<00:00, 100483151.75it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▋ | 79069184/170498071 [00:00<00:00, 95349758.18it/s]" + " 48%|████▊ | 82608128/170498071 [00:00<00:00, 100537532.88it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████▏ | 88637440/170498071 [00:01<00:00, 92585510.28it/s]" + " 54%|█████▍ | 92667904/170498071 [00:01<00:00, 97249164.32it/s] " ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▊ | 99778560/170498071 [00:01<00:00, 98045186.44it/s]" + " 60%|██████ | 102432768/170498071 [00:01<00:00, 95386720.52it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▍ | 109641728/170498071 [00:01<00:00, 94260473.23it/s]" + " 66%|██████▌ | 112001024/170498071 [00:01<00:00, 93763598.44it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████ | 120717312/170498071 [00:01<00:00, 99011912.12it/s]" + " 71%|███████ | 121405440/170498071 [00:01<00:00, 90762304.11it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 130678784/170498071 [00:01<00:00, 94682120.53it/s]" + " 77%|███████▋ | 130514944/170498071 [00:01<00:00, 88997803.93it/s]" ] }, { @@ -364,7 +364,7 @@ "output_type": "stream", "text": [ "\r", - " 83%|████████▎ | 141754368/170498071 [00:01<00:00, 99100549.00it/s]" + " 82%|████████▏ | 139460608/170498071 [00:01<00:00, 85560327.60it/s]" ] }, { @@ -372,7 +372,7 @@ "output_type": "stream", "text": [ "\r", - " 89%|████████▉ | 151748608/170498071 [00:01<00:00, 95388325.55it/s]" + " 87%|████████▋ | 148045824/170498071 [00:01<00:00, 85139512.24it/s]" ] }, { @@ -380,7 +380,7 @@ "output_type": "stream", "text": [ "\r", - " 96%|█████████▌| 162889728/170498071 [00:01<00:00, 99924151.59it/s]" + " 92%|█████████▏| 156991488/170498071 [00:01<00:00, 86219496.23it/s]" ] }, { @@ -388,7 +388,15 @@ "output_type": "stream", "text": [ "\r", - "100%|██████████| 170498071/170498071 [00:01<00:00, 91550653.75it/s]" + " 97%|█████████▋| 165969920/170498071 [00:01<00:00, 87041053.11it/s]" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r", + "100%|██████████| 170498071/170498071 [00:01<00:00, 88744795.96it/s]" ] }, { @@ -506,10 +514,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:36.712936Z", - "iopub.status.busy": "2024-06-19T19:21:36.712655Z", - "iopub.status.idle": "2024-06-19T19:21:36.717328Z", - "shell.execute_reply": "2024-06-19T19:21:36.716904Z" + "iopub.execute_input": "2024-06-25T15:07:47.164941Z", + "iopub.status.busy": "2024-06-25T15:07:47.164716Z", + "iopub.status.idle": "2024-06-25T15:07:47.169619Z", + "shell.execute_reply": "2024-06-25T15:07:47.169146Z" }, "nbsphinx": "hidden" }, @@ -560,10 +568,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:36.719368Z", - "iopub.status.busy": "2024-06-19T19:21:36.719054Z", - "iopub.status.idle": "2024-06-19T19:21:37.267753Z", - "shell.execute_reply": "2024-06-19T19:21:37.267211Z" + "iopub.execute_input": "2024-06-25T15:07:47.171722Z", + "iopub.status.busy": "2024-06-25T15:07:47.171382Z", + "iopub.status.idle": "2024-06-25T15:07:47.738760Z", + "shell.execute_reply": "2024-06-25T15:07:47.738088Z" } }, "outputs": [ @@ -596,10 +604,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.270008Z", - "iopub.status.busy": "2024-06-19T19:21:37.269658Z", - "iopub.status.idle": "2024-06-19T19:21:37.771584Z", - "shell.execute_reply": "2024-06-19T19:21:37.771009Z" + "iopub.execute_input": "2024-06-25T15:07:47.741125Z", + "iopub.status.busy": "2024-06-25T15:07:47.740746Z", + "iopub.status.idle": "2024-06-25T15:07:48.261248Z", + "shell.execute_reply": "2024-06-25T15:07:48.260672Z" } }, "outputs": [ @@ -637,10 +645,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.773694Z", - "iopub.status.busy": "2024-06-19T19:21:37.773502Z", - "iopub.status.idle": "2024-06-19T19:21:37.777253Z", - "shell.execute_reply": "2024-06-19T19:21:37.776701Z" + "iopub.execute_input": "2024-06-25T15:07:48.263378Z", + "iopub.status.busy": "2024-06-25T15:07:48.263183Z", + "iopub.status.idle": "2024-06-25T15:07:48.267023Z", + "shell.execute_reply": "2024-06-25T15:07:48.266572Z" } }, "outputs": [], @@ -663,17 +671,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:37.779279Z", - "iopub.status.busy": "2024-06-19T19:21:37.778976Z", - "iopub.status.idle": "2024-06-19T19:21:50.625364Z", - "shell.execute_reply": "2024-06-19T19:21:50.624781Z" + "iopub.execute_input": "2024-06-25T15:07:48.268899Z", + "iopub.status.busy": "2024-06-25T15:07:48.268728Z", + "iopub.status.idle": "2024-06-25T15:08:00.626265Z", + "shell.execute_reply": "2024-06-25T15:08:00.625732Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5a3224df4122414dbc965e4870dbbda1", + "model_id": "b21e9d68df194288ae90e0c8135c4ae7", "version_major": 2, "version_minor": 0 }, @@ -732,10 +740,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:50.628005Z", - "iopub.status.busy": "2024-06-19T19:21:50.627513Z", - "iopub.status.idle": "2024-06-19T19:21:52.712045Z", - "shell.execute_reply": "2024-06-19T19:21:52.711492Z" + "iopub.execute_input": "2024-06-25T15:08:00.628642Z", + "iopub.status.busy": "2024-06-25T15:08:00.628254Z", + "iopub.status.idle": "2024-06-25T15:08:02.761210Z", + "shell.execute_reply": "2024-06-25T15:08:02.760608Z" } }, "outputs": [ @@ -779,10 +787,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:52.714529Z", - "iopub.status.busy": "2024-06-19T19:21:52.713991Z", - "iopub.status.idle": "2024-06-19T19:21:52.962218Z", - "shell.execute_reply": "2024-06-19T19:21:52.961618Z" + "iopub.execute_input": "2024-06-25T15:08:02.763626Z", + "iopub.status.busy": "2024-06-25T15:08:02.763245Z", + "iopub.status.idle": "2024-06-25T15:08:03.022141Z", + "shell.execute_reply": "2024-06-25T15:08:03.021575Z" } }, "outputs": [ @@ -818,10 +826,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:52.964783Z", - "iopub.status.busy": "2024-06-19T19:21:52.964455Z", - "iopub.status.idle": "2024-06-19T19:21:53.652657Z", - "shell.execute_reply": "2024-06-19T19:21:53.652090Z" + "iopub.execute_input": "2024-06-25T15:08:03.025107Z", + "iopub.status.busy": "2024-06-25T15:08:03.024724Z", + "iopub.status.idle": "2024-06-25T15:08:03.686604Z", + "shell.execute_reply": "2024-06-25T15:08:03.686062Z" } }, "outputs": [ @@ -871,10 +879,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:53.655637Z", - "iopub.status.busy": "2024-06-19T19:21:53.655191Z", - "iopub.status.idle": "2024-06-19T19:21:53.997788Z", - "shell.execute_reply": "2024-06-19T19:21:53.997182Z" + "iopub.execute_input": "2024-06-25T15:08:03.689638Z", + "iopub.status.busy": "2024-06-25T15:08:03.689263Z", + "iopub.status.idle": "2024-06-25T15:08:04.028975Z", + "shell.execute_reply": "2024-06-25T15:08:04.028446Z" } }, "outputs": [ @@ -922,10 +930,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:53.999907Z", - "iopub.status.busy": "2024-06-19T19:21:53.999721Z", - "iopub.status.idle": "2024-06-19T19:21:54.237511Z", - "shell.execute_reply": "2024-06-19T19:21:54.236817Z" + "iopub.execute_input": "2024-06-25T15:08:04.031274Z", + "iopub.status.busy": "2024-06-25T15:08:04.030954Z", + "iopub.status.idle": "2024-06-25T15:08:04.277500Z", + "shell.execute_reply": "2024-06-25T15:08:04.276887Z" } }, "outputs": [ @@ -981,10 +989,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:54.239898Z", - "iopub.status.busy": "2024-06-19T19:21:54.239706Z", - "iopub.status.idle": "2024-06-19T19:21:54.320356Z", - "shell.execute_reply": "2024-06-19T19:21:54.319739Z" + "iopub.execute_input": "2024-06-25T15:08:04.280546Z", + "iopub.status.busy": "2024-06-25T15:08:04.280101Z", + "iopub.status.idle": "2024-06-25T15:08:04.364340Z", + "shell.execute_reply": "2024-06-25T15:08:04.363675Z" } }, "outputs": [], @@ -1005,10 +1013,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:21:54.323090Z", - "iopub.status.busy": "2024-06-19T19:21:54.322572Z", - "iopub.status.idle": "2024-06-19T19:22:04.687477Z", - "shell.execute_reply": "2024-06-19T19:22:04.686893Z" + "iopub.execute_input": "2024-06-25T15:08:04.366792Z", + "iopub.status.busy": "2024-06-25T15:08:04.366374Z", + "iopub.status.idle": "2024-06-25T15:08:14.914279Z", + "shell.execute_reply": "2024-06-25T15:08:14.913604Z" } }, "outputs": [ @@ -1045,10 +1053,10 @@ "id": "874c885a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:04.689967Z", - "iopub.status.busy": "2024-06-19T19:22:04.689573Z", - "iopub.status.idle": "2024-06-19T19:22:06.934115Z", - "shell.execute_reply": "2024-06-19T19:22:06.933562Z" + "iopub.execute_input": "2024-06-25T15:08:14.916776Z", + "iopub.status.busy": "2024-06-25T15:08:14.916511Z", + "iopub.status.idle": "2024-06-25T15:08:17.293821Z", + "shell.execute_reply": "2024-06-25T15:08:17.293306Z" } }, "outputs": [ @@ -1079,10 +1087,10 @@ "id": "e110fc4b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:06.936708Z", - "iopub.status.busy": "2024-06-19T19:22:06.936252Z", - "iopub.status.idle": "2024-06-19T19:22:07.138884Z", - "shell.execute_reply": "2024-06-19T19:22:07.138371Z" + "iopub.execute_input": "2024-06-25T15:08:17.296752Z", + "iopub.status.busy": "2024-06-25T15:08:17.296141Z", + "iopub.status.idle": "2024-06-25T15:08:17.508879Z", + "shell.execute_reply": "2024-06-25T15:08:17.508351Z" } }, "outputs": [], @@ -1096,10 +1104,10 @@ "id": "85b60cbf", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:07.141191Z", - "iopub.status.busy": "2024-06-19T19:22:07.141008Z", - "iopub.status.idle": "2024-06-19T19:22:07.144139Z", - "shell.execute_reply": "2024-06-19T19:22:07.143685Z" + "iopub.execute_input": "2024-06-25T15:08:17.511428Z", + "iopub.status.busy": "2024-06-25T15:08:17.511052Z", + "iopub.status.idle": "2024-06-25T15:08:17.514355Z", + "shell.execute_reply": "2024-06-25T15:08:17.513890Z" } }, "outputs": [], @@ -1121,10 +1129,10 @@ "id": "17f96fa6", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:07.146103Z", - "iopub.status.busy": "2024-06-19T19:22:07.145788Z", - "iopub.status.idle": "2024-06-19T19:22:07.153730Z", - "shell.execute_reply": "2024-06-19T19:22:07.153317Z" + "iopub.execute_input": "2024-06-25T15:08:17.516595Z", + "iopub.status.busy": "2024-06-25T15:08:17.516250Z", + "iopub.status.idle": "2024-06-25T15:08:17.525161Z", + "shell.execute_reply": "2024-06-25T15:08:17.524636Z" }, "nbsphinx": "hidden" }, @@ -1169,7 +1177,30 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "301fd8815bef49a3bc22dadd797c8328": { + "029ab5bdf8b94b57bc553b34f4933dae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_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_10d41885d1794e74b48d2f5349e9c4a0", + "placeholder": "​", + "style": "IPY_MODEL_208a128034214ed29c17b113189b0786", + "tabbable": null, + "tooltip": null, + "value": " 102M/102M [00:00<00:00, 321MB/s]" + } + }, + "10d41885d1794e74b48d2f5349e9c4a0": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1222,7 +1253,7 @@ "width": null } }, - "36f34a2fa98e421fbce75cf94d0f00a3": { + "1ec747a023f5460b9e03ca0529a36abd": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1275,7 +1306,25 @@ "width": null } }, - 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"4f798f621fd1463497fa70b6bbe93712": { + "3a260ba4de9b430daed701ad5f4221a7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1316,7 +1365,49 @@ "text_color": null } }, - "5860d43662fe4e0c94deadd06df5a37c": { + "6812d796b1474a84a2fe7749359cf057": { + "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": "" + } + }, + "a2a7e1b541584749aa693e1422171551": { + "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_c29375cc4b9541b3be4c914b39a169f7", + "max": 102469840.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_6812d796b1474a84a2fe7749359cf057", + "tabbable": null, + "tooltip": null, + "value": 102469840.0 + } + }, + "a31e8cb85d144a88b82782a73f756e42": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1369,7 +1460,7 @@ "width": null } }, - 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"_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "a0e445a93efa475b9bbe14f70502c89c": { - "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_f2d744a291ba4b818d1bbb561fa9c9de", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_6d96f96c2e2e4ad7bd81f250b1896acc", - "tabbable": null, - "tooltip": null, - "value": 102469840.0 - } - }, - "a61bb392daf6435985434d24e28023bd": { - "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 - } - }, - "bbb7509c489f48e2b72aef01319c01ab": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_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_5860d43662fe4e0c94deadd06df5a37c", - "placeholder": "​", - "style": "IPY_MODEL_4f798f621fd1463497fa70b6bbe93712", - "tabbable": null, - "tooltip": null, - "value": " 102M/102M [00:00<00:00, 226MB/s]" - } - }, - "f2d744a291ba4b818d1bbb561fa9c9de": { + "c29375cc4b9541b3be4c914b39a169f7": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index 8e0b24218..05b280ee8 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -102,10 +102,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:11.368000Z", - "iopub.status.busy": "2024-06-19T19:22:11.367563Z", - "iopub.status.idle": "2024-06-19T19:22:12.556140Z", - "shell.execute_reply": "2024-06-19T19:22:12.555541Z" + "iopub.execute_input": "2024-06-25T15:08:21.910070Z", + "iopub.status.busy": "2024-06-25T15:08:21.909651Z", + "iopub.status.idle": "2024-06-25T15:08:23.187736Z", + "shell.execute_reply": "2024-06-25T15:08:23.187169Z" }, "nbsphinx": "hidden" }, @@ -116,7 +116,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -142,10 +142,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.558871Z", - "iopub.status.busy": "2024-06-19T19:22:12.558417Z", - "iopub.status.idle": "2024-06-19T19:22:12.576339Z", - "shell.execute_reply": "2024-06-19T19:22:12.575860Z" + "iopub.execute_input": "2024-06-25T15:08:23.190350Z", + "iopub.status.busy": "2024-06-25T15:08:23.189889Z", + "iopub.status.idle": "2024-06-25T15:08:23.207895Z", + "shell.execute_reply": "2024-06-25T15:08:23.207262Z" } }, "outputs": [], @@ -164,10 +164,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.578755Z", - "iopub.status.busy": "2024-06-19T19:22:12.578312Z", - "iopub.status.idle": "2024-06-19T19:22:12.581293Z", - "shell.execute_reply": "2024-06-19T19:22:12.580876Z" + "iopub.execute_input": "2024-06-25T15:08:23.210550Z", + "iopub.status.busy": "2024-06-25T15:08:23.210049Z", + "iopub.status.idle": "2024-06-25T15:08:23.213182Z", + "shell.execute_reply": "2024-06-25T15:08:23.212753Z" }, "nbsphinx": "hidden" }, @@ -198,10 +198,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.583418Z", - "iopub.status.busy": "2024-06-19T19:22:12.583095Z", - "iopub.status.idle": "2024-06-19T19:22:12.639379Z", - "shell.execute_reply": "2024-06-19T19:22:12.638871Z" + "iopub.execute_input": "2024-06-25T15:08:23.215212Z", + "iopub.status.busy": "2024-06-25T15:08:23.214881Z", + "iopub.status.idle": "2024-06-25T15:08:23.265186Z", + "shell.execute_reply": "2024-06-25T15:08:23.264656Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.641740Z", - "iopub.status.busy": "2024-06-19T19:22:12.641362Z", - "iopub.status.idle": "2024-06-19T19:22:12.827521Z", - "shell.execute_reply": "2024-06-19T19:22:12.826903Z" + "iopub.execute_input": "2024-06-25T15:08:23.267602Z", + "iopub.status.busy": "2024-06-25T15:08:23.267302Z", + "iopub.status.idle": "2024-06-25T15:08:23.451923Z", + "shell.execute_reply": "2024-06-25T15:08:23.451390Z" }, "nbsphinx": "hidden" }, @@ -417,10 +417,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:12.830369Z", - "iopub.status.busy": "2024-06-19T19:22:12.830016Z", - "iopub.status.idle": "2024-06-19T19:22:13.074224Z", - "shell.execute_reply": "2024-06-19T19:22:13.073596Z" + "iopub.execute_input": "2024-06-25T15:08:23.454459Z", + "iopub.status.busy": "2024-06-25T15:08:23.453993Z", + "iopub.status.idle": "2024-06-25T15:08:23.699181Z", + "shell.execute_reply": "2024-06-25T15:08:23.698584Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.076680Z", - "iopub.status.busy": "2024-06-19T19:22:13.076327Z", - "iopub.status.idle": "2024-06-19T19:22:13.080626Z", - "shell.execute_reply": "2024-06-19T19:22:13.080195Z" + "iopub.execute_input": "2024-06-25T15:08:23.701383Z", + "iopub.status.busy": "2024-06-25T15:08:23.701192Z", + "iopub.status.idle": "2024-06-25T15:08:23.705748Z", + "shell.execute_reply": "2024-06-25T15:08:23.705281Z" } }, "outputs": [], @@ -477,10 +477,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.082759Z", - "iopub.status.busy": "2024-06-19T19:22:13.082433Z", - "iopub.status.idle": "2024-06-19T19:22:13.089315Z", - "shell.execute_reply": "2024-06-19T19:22:13.088864Z" + "iopub.execute_input": "2024-06-25T15:08:23.707589Z", + "iopub.status.busy": "2024-06-25T15:08:23.707408Z", + "iopub.status.idle": "2024-06-25T15:08:23.714463Z", + "shell.execute_reply": "2024-06-25T15:08:23.714035Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.091654Z", - "iopub.status.busy": "2024-06-19T19:22:13.091228Z", - "iopub.status.idle": "2024-06-19T19:22:13.094109Z", - "shell.execute_reply": "2024-06-19T19:22:13.093535Z" + "iopub.execute_input": "2024-06-25T15:08:23.716435Z", + "iopub.status.busy": "2024-06-25T15:08:23.716265Z", + "iopub.status.idle": "2024-06-25T15:08:23.718977Z", + "shell.execute_reply": "2024-06-25T15:08:23.718528Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:13.096306Z", - "iopub.status.busy": "2024-06-19T19:22:13.095966Z", - "iopub.status.idle": "2024-06-19T19:22:21.895748Z", - "shell.execute_reply": "2024-06-19T19:22:21.895130Z" + "iopub.execute_input": "2024-06-25T15:08:23.720735Z", + "iopub.status.busy": "2024-06-25T15:08:23.720567Z", + "iopub.status.idle": "2024-06-25T15:08:32.515041Z", + "shell.execute_reply": "2024-06-25T15:08:32.514475Z" } }, "outputs": [], @@ -572,10 +572,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.899003Z", - "iopub.status.busy": "2024-06-19T19:22:21.898445Z", - "iopub.status.idle": "2024-06-19T19:22:21.906807Z", - "shell.execute_reply": "2024-06-19T19:22:21.906261Z" + "iopub.execute_input": "2024-06-25T15:08:32.517892Z", + "iopub.status.busy": "2024-06-25T15:08:32.517520Z", + "iopub.status.idle": "2024-06-25T15:08:32.524602Z", + "shell.execute_reply": "2024-06-25T15:08:32.524143Z" } }, "outputs": [ @@ -678,10 +678,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.909145Z", - "iopub.status.busy": "2024-06-19T19:22:21.908763Z", - "iopub.status.idle": "2024-06-19T19:22:21.913043Z", - "shell.execute_reply": "2024-06-19T19:22:21.912526Z" + "iopub.execute_input": "2024-06-25T15:08:32.526466Z", + "iopub.status.busy": "2024-06-25T15:08:32.526292Z", + "iopub.status.idle": "2024-06-25T15:08:32.529994Z", + "shell.execute_reply": "2024-06-25T15:08:32.529547Z" } }, "outputs": [], @@ -696,10 +696,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.915123Z", - "iopub.status.busy": "2024-06-19T19:22:21.914799Z", - "iopub.status.idle": "2024-06-19T19:22:21.917957Z", - "shell.execute_reply": "2024-06-19T19:22:21.917446Z" + "iopub.execute_input": "2024-06-25T15:08:32.531872Z", + "iopub.status.busy": "2024-06-25T15:08:32.531697Z", + "iopub.status.idle": "2024-06-25T15:08:32.534822Z", + "shell.execute_reply": "2024-06-25T15:08:32.534343Z" } }, "outputs": [ @@ -734,10 +734,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.919978Z", - "iopub.status.busy": "2024-06-19T19:22:21.919659Z", - "iopub.status.idle": "2024-06-19T19:22:21.922593Z", - "shell.execute_reply": "2024-06-19T19:22:21.922161Z" + "iopub.execute_input": "2024-06-25T15:08:32.536822Z", + "iopub.status.busy": "2024-06-25T15:08:32.536509Z", + "iopub.status.idle": "2024-06-25T15:08:32.539371Z", + "shell.execute_reply": "2024-06-25T15:08:32.538939Z" } }, "outputs": [], @@ -756,10 +756,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.924610Z", - "iopub.status.busy": "2024-06-19T19:22:21.924299Z", - "iopub.status.idle": "2024-06-19T19:22:21.932480Z", - "shell.execute_reply": "2024-06-19T19:22:21.931974Z" + "iopub.execute_input": "2024-06-25T15:08:32.541374Z", + "iopub.status.busy": "2024-06-25T15:08:32.541053Z", + "iopub.status.idle": "2024-06-25T15:08:32.549080Z", + "shell.execute_reply": "2024-06-25T15:08:32.548529Z" } }, "outputs": [ @@ -883,10 +883,10 @@ "id": "9131d82d", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:21.934561Z", - "iopub.status.busy": "2024-06-19T19:22:21.934233Z", - "iopub.status.idle": "2024-06-19T19:22:21.936737Z", - "shell.execute_reply": "2024-06-19T19:22:21.936319Z" + "iopub.execute_input": "2024-06-25T15:08:32.551190Z", + "iopub.status.busy": "2024-06-25T15:08:32.550875Z", + "iopub.status.idle": "2024-06-25T15:08:32.553349Z", + "shell.execute_reply": "2024-06-25T15:08:32.552920Z" }, "nbsphinx": "hidden" }, @@ -921,10 +921,10 @@ "id": "31c704e7", "metadata": { "execution": { - 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    3. Use cleanlab to find label issues

    -
    +
    -
    +
    @@ -882,7 +882,7 @@

    Classes which are commonly mislabeled overall

    -
    +
    @@ -1131,7 +1131,7 @@

    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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"2024-06-25T15:08:42.880799Z", + "iopub.status.busy": "2024-06-25T15:08:42.880586Z", + "iopub.status.idle": "2024-06-25T15:08:44.512863Z", + "shell.execute_reply": "2024-06-25T15:08:44.512159Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:22:32.660212Z", - "iopub.status.busy": "2024-06-19T19:22:32.659832Z", - "iopub.status.idle": "2024-06-19T19:23:28.505248Z", - "shell.execute_reply": "2024-06-19T19:23:28.504612Z" + "iopub.execute_input": "2024-06-25T15:08:44.515546Z", + "iopub.status.busy": "2024-06-25T15:08:44.515142Z", + "iopub.status.idle": "2024-06-25T15:09:30.026971Z", + "shell.execute_reply": "2024-06-25T15:09:30.026285Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:28.507912Z", - "iopub.status.busy": "2024-06-19T19:23:28.507529Z", - "iopub.status.idle": "2024-06-19T19:23:29.657502Z", - "shell.execute_reply": "2024-06-19T19:23:29.656999Z" + "iopub.execute_input": "2024-06-25T15:09:30.030165Z", + "iopub.status.busy": "2024-06-25T15:09:30.029717Z", + "iopub.status.idle": "2024-06-25T15:09:31.216800Z", + "shell.execute_reply": "2024-06-25T15:09:31.216232Z" }, "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\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": "2024-06-19T19:23:29.659836Z", - "iopub.status.busy": "2024-06-19T19:23:29.659557Z", - "iopub.status.idle": "2024-06-19T19:23:29.662860Z", - "shell.execute_reply": "2024-06-19T19:23:29.662401Z" + "iopub.execute_input": "2024-06-25T15:09:31.219451Z", + "iopub.status.busy": "2024-06-25T15:09:31.218947Z", + "iopub.status.idle": "2024-06-25T15:09:31.222257Z", + "shell.execute_reply": "2024-06-25T15:09:31.221814Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.664918Z", - "iopub.status.busy": "2024-06-19T19:23:29.664596Z", - "iopub.status.idle": "2024-06-19T19:23:29.668370Z", - "shell.execute_reply": "2024-06-19T19:23:29.667881Z" + "iopub.execute_input": "2024-06-25T15:09:31.224354Z", + "iopub.status.busy": "2024-06-25T15:09:31.224015Z", + "iopub.status.idle": "2024-06-25T15:09:31.227897Z", + "shell.execute_reply": "2024-06-25T15:09:31.227400Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:23:29.670605Z", - "iopub.status.busy": "2024-06-19T19:23:29.670205Z", - 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+ } + }, + "e8f4528787a3401c8ea684eb606bd17b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } } }, diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html index 3c394754f..c53b99e42 100644 --- a/master/tutorials/token_classification.html +++ b/master/tutorials/token_classification.html @@ -701,16 +701,16 @@

    1. Install required dependencies and download data 
    ---2024-06-19 19:25:09--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 169.150.236.99, 2400:52e0:1a00::718:1
-Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... connected.
+--2024-06-25 15:11:11--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 169.150.236.97, 2400:52e0:1a00::845:1
+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  --.-KB/s    in 0.1s
+conll2003.zip       100%[===================>] 959.94K  4.97MB/s    in 0.2s
 
-2024-06-19 19:25:10 (7.77 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2024-06-25 15:11:11 (4.97 MB/s) - ‘conll2003.zip’ saved [982975/982975]
 
 mkdir: cannot create directory ‘data’: File exists
 Archive:  conll2003.zip
@@ -718,16 +718,16 @@ 
    1. Install required dependencies and download data

    diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb index 2d42f5e88..f016ba70f 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:09.578962Z", - "iopub.status.busy": "2024-06-19T19:25:09.578560Z", - "iopub.status.idle": "2024-06-19T19:25:10.928643Z", - "shell.execute_reply": "2024-06-19T19:25:10.928022Z" + "iopub.execute_input": "2024-06-25T15:11:11.232355Z", + "iopub.status.busy": "2024-06-25T15:11:11.231865Z", + "iopub.status.idle": "2024-06-25T15:11:12.478175Z", + "shell.execute_reply": "2024-06-25T15:11:12.477547Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-06-19 19:25:09-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-06-25 15:11:11-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,8 +94,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "169.150.236.99, 2400:52e0:1a00::718:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... " + "169.150.236.97, 2400:52e0:1a00::845:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.97|:443... " ] }, { @@ -123,9 +123,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", + "conll2003.zip 100%[===================>] 959.94K 4.97MB/s in 0.2s \r\n", "\r\n", - "2024-06-19 19:25:10 (7.77 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-06-25 15:11:11 (4.97 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -145,9 +145,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-06-19 19:25:10-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.206.91, 52.217.206.81, 52.216.77.4, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.206.91|:443... connected.\r\n", + "--2024-06-25 15:11:12-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.184.163, 3.5.21.123, 52.217.91.12, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.184.163|:443... connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -168,17 +168,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 53%[=========> ] 8.71M 43.3MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 100%[===================>] 16.26M 64.2MB/s in 0.3s \r\n", + "pred_probs.npz 100%[===================>] 16.26M --.-KB/s in 0.08s \r\n", "\r\n", - "2024-06-19 19:25:10 (64.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-06-25 15:11:12 (198 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -195,10 +187,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:10.931072Z", - "iopub.status.busy": "2024-06-19T19:25:10.930882Z", - "iopub.status.idle": "2024-06-19T19:25:12.255881Z", - "shell.execute_reply": "2024-06-19T19:25:12.255242Z" + "iopub.execute_input": "2024-06-25T15:11:12.480956Z", + "iopub.status.busy": "2024-06-25T15:11:12.480566Z", + "iopub.status.idle": "2024-06-25T15:11:13.767885Z", + "shell.execute_reply": "2024-06-25T15:11:13.767217Z" }, "nbsphinx": "hidden" }, @@ -209,7 +201,7 @@ "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@18dfb0db7c17aa398779ce653a9dc9d7f7b7df62\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@f447bf2cf039124aaf1dd4454dae74d297316c7c\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -235,10 +227,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.258491Z", - "iopub.status.busy": "2024-06-19T19:25:12.258068Z", - "iopub.status.idle": "2024-06-19T19:25:12.261536Z", - "shell.execute_reply": "2024-06-19T19:25:12.260999Z" + "iopub.execute_input": "2024-06-25T15:11:13.770729Z", + "iopub.status.busy": "2024-06-25T15:11:13.770175Z", + "iopub.status.idle": "2024-06-25T15:11:13.773709Z", + "shell.execute_reply": "2024-06-25T15:11:13.773187Z" } }, "outputs": [], @@ -288,10 +280,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.263644Z", - "iopub.status.busy": "2024-06-19T19:25:12.263314Z", - "iopub.status.idle": "2024-06-19T19:25:12.266277Z", - "shell.execute_reply": "2024-06-19T19:25:12.265838Z" + "iopub.execute_input": "2024-06-25T15:11:13.775785Z", + "iopub.status.busy": "2024-06-25T15:11:13.775587Z", + "iopub.status.idle": "2024-06-25T15:11:13.778748Z", + "shell.execute_reply": "2024-06-25T15:11:13.778221Z" }, "nbsphinx": "hidden" }, @@ -309,10 +301,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:12.268426Z", - "iopub.status.busy": "2024-06-19T19:25:12.268094Z", - "iopub.status.idle": "2024-06-19T19:25:21.221848Z", - "shell.execute_reply": "2024-06-19T19:25:21.221207Z" + "iopub.execute_input": "2024-06-25T15:11:13.780778Z", + "iopub.status.busy": "2024-06-25T15:11:13.780480Z", + "iopub.status.idle": "2024-06-25T15:11:22.781293Z", + "shell.execute_reply": "2024-06-25T15:11:22.780651Z" } }, "outputs": [], @@ -386,10 +378,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.224443Z", - "iopub.status.busy": "2024-06-19T19:25:21.224239Z", - "iopub.status.idle": "2024-06-19T19:25:21.229958Z", - "shell.execute_reply": "2024-06-19T19:25:21.229399Z" + "iopub.execute_input": "2024-06-25T15:11:22.784081Z", + "iopub.status.busy": "2024-06-25T15:11:22.783689Z", + "iopub.status.idle": "2024-06-25T15:11:22.789584Z", + "shell.execute_reply": "2024-06-25T15:11:22.789006Z" }, "nbsphinx": "hidden" }, @@ -429,10 +421,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.232073Z", - "iopub.status.busy": "2024-06-19T19:25:21.231743Z", - "iopub.status.idle": "2024-06-19T19:25:21.588833Z", - "shell.execute_reply": "2024-06-19T19:25:21.588318Z" + "iopub.execute_input": "2024-06-25T15:11:22.791718Z", + "iopub.status.busy": "2024-06-25T15:11:22.791435Z", + "iopub.status.idle": "2024-06-25T15:11:23.158255Z", + "shell.execute_reply": "2024-06-25T15:11:23.157611Z" } }, "outputs": [], @@ -469,10 +461,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.591367Z", - "iopub.status.busy": "2024-06-19T19:25:21.591001Z", - "iopub.status.idle": "2024-06-19T19:25:21.595636Z", - "shell.execute_reply": "2024-06-19T19:25:21.595165Z" + "iopub.execute_input": "2024-06-25T15:11:23.160978Z", + "iopub.status.busy": "2024-06-25T15:11:23.160622Z", + "iopub.status.idle": "2024-06-25T15:11:23.165103Z", + "shell.execute_reply": "2024-06-25T15:11:23.164546Z" } }, "outputs": [ @@ -544,10 +536,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:21.597855Z", - "iopub.status.busy": "2024-06-19T19:25:21.597528Z", - "iopub.status.idle": "2024-06-19T19:25:24.308109Z", - "shell.execute_reply": "2024-06-19T19:25:24.307365Z" + "iopub.execute_input": "2024-06-25T15:11:23.167082Z", + "iopub.status.busy": "2024-06-25T15:11:23.166903Z", + "iopub.status.idle": "2024-06-25T15:11:25.807866Z", + "shell.execute_reply": "2024-06-25T15:11:25.807169Z" } }, "outputs": [], @@ -569,10 +561,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.311307Z", - "iopub.status.busy": "2024-06-19T19:25:24.310534Z", - "iopub.status.idle": "2024-06-19T19:25:24.314791Z", - "shell.execute_reply": "2024-06-19T19:25:24.314231Z" + "iopub.execute_input": "2024-06-25T15:11:25.810816Z", + "iopub.status.busy": "2024-06-25T15:11:25.810265Z", + "iopub.status.idle": "2024-06-25T15:11:25.814390Z", + "shell.execute_reply": "2024-06-25T15:11:25.813844Z" } }, "outputs": [ @@ -608,10 +600,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.317102Z", - "iopub.status.busy": "2024-06-19T19:25:24.316721Z", - "iopub.status.idle": "2024-06-19T19:25:24.322157Z", - "shell.execute_reply": "2024-06-19T19:25:24.321609Z" + "iopub.execute_input": "2024-06-25T15:11:25.816460Z", + "iopub.status.busy": "2024-06-25T15:11:25.816134Z", + "iopub.status.idle": "2024-06-25T15:11:25.825923Z", + "shell.execute_reply": "2024-06-25T15:11:25.825448Z" } }, "outputs": [ @@ -789,10 +781,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.324400Z", - "iopub.status.busy": "2024-06-19T19:25:24.324051Z", - "iopub.status.idle": "2024-06-19T19:25:24.350801Z", - "shell.execute_reply": "2024-06-19T19:25:24.350207Z" + "iopub.execute_input": "2024-06-25T15:11:25.828061Z", + "iopub.status.busy": "2024-06-25T15:11:25.827881Z", + "iopub.status.idle": "2024-06-25T15:11:25.855389Z", + "shell.execute_reply": "2024-06-25T15:11:25.854872Z" } }, "outputs": [ @@ -894,10 +886,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.353082Z", - "iopub.status.busy": "2024-06-19T19:25:24.352886Z", - "iopub.status.idle": "2024-06-19T19:25:24.358648Z", - "shell.execute_reply": "2024-06-19T19:25:24.358046Z" + "iopub.execute_input": "2024-06-25T15:11:25.857590Z", + "iopub.status.busy": "2024-06-25T15:11:25.857393Z", + "iopub.status.idle": "2024-06-25T15:11:25.862898Z", + "shell.execute_reply": "2024-06-25T15:11:25.862402Z" } }, "outputs": [ @@ -971,10 +963,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:24.361008Z", - "iopub.status.busy": "2024-06-19T19:25:24.360612Z", - "iopub.status.idle": "2024-06-19T19:25:25.829277Z", - "shell.execute_reply": "2024-06-19T19:25:25.828716Z" + "iopub.execute_input": "2024-06-25T15:11:25.864896Z", + "iopub.status.busy": "2024-06-25T15:11:25.864699Z", + "iopub.status.idle": "2024-06-25T15:11:27.322386Z", + "shell.execute_reply": "2024-06-25T15:11:27.321860Z" } }, "outputs": [ @@ -1146,10 +1138,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-06-19T19:25:25.831678Z", - "iopub.status.busy": "2024-06-19T19:25:25.831298Z", - "iopub.status.idle": "2024-06-19T19:25:25.835492Z", - "shell.execute_reply": "2024-06-19T19:25:25.835011Z" + "iopub.execute_input": "2024-06-25T15:11:27.324657Z", + "iopub.status.busy": "2024-06-25T15:11:27.324344Z", + "iopub.status.idle": "2024-06-25T15:11:27.328757Z", + "shell.execute_reply": "2024-06-25T15:11:27.328193Z" }, "nbsphinx": "hidden" }, diff --git a/versioning.js b/versioning.js index c8464f9ba..0f26d140b 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.6.5", - commit_hash: "18dfb0db7c17aa398779ce653a9dc9d7f7b7df62", + commit_hash: "f447bf2cf039124aaf1dd4454dae74d297316c7c", }; \ No newline at end of file