├── .github └── workflows │ └── test.yaml ├── .gitignore ├── LICENSE ├── README.md ├── data ├── README.md ├── agaricus.txt.test ├── agaricus.txt.train ├── featmap.txt ├── gen_autoclaims.R └── veterans_lung_cancer.csv ├── env.yml ├── flows ├── cloud │ ├── rf_flow_cloud.py │ ├── taxi_modules │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-38.pyc │ │ │ └── __init__.cpython-39.pyc │ │ ├── dnn_data.py │ │ ├── dnn_model.py │ │ ├── encoders.py │ │ ├── feat_baseline.py │ │ ├── feat_euclidean.py │ │ ├── feat_gridtensor.py │ │ ├── keras_model.py │ │ ├── model_baseline.py │ │ ├── model_euclidean.py │ │ ├── model_grid.py │ │ ├── numpy_encoder.py │ │ ├── regression.py │ │ └── table_utils.py │ └── tree_branch_flow_cloud.py ├── ecosystem │ ├── RF-deploy.py │ ├── __pycache__ │ │ └── utils.cpython-38.pyc │ ├── iris_validate.py │ ├── rf_flow_monitor.py │ ├── rf_flow_monitor_validate.py │ ├── sm_entry_point.py │ ├── test-endpoint.ipynb │ └── utils.py └── local │ ├── NN_flow.py │ ├── boosted_flow.py │ ├── flow_template.py │ ├── rf_flow.py │ ├── taxi_modules │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-38.pyc │ │ └── __init__.cpython-39.pyc │ ├── dnn_data.py │ ├── dnn_model.py │ ├── encoders.py │ ├── feat_baseline.py │ ├── feat_euclidean.py │ ├── feat_gridtensor.py │ ├── keras_model.py │ ├── model_baseline.py │ ├── model_euclidean.py │ ├── model_grid.py │ ├── numpy_encoder.py │ ├── regression.py │ └── table_utils.py │ └── tree_branch_flow.py ├── great_expectations ├── checkpoints │ └── flowers-test-flow-checkpoint.yml ├── expectations │ └── flowers-testing-suite.json ├── great_expectations.yml ├── plugins │ └── custom_data_docs │ │ └── styles │ │ └── data_docs_custom_styles.css └── uncommitted │ ├── config_variables.yml │ ├── data_docs │ └── local_site │ │ ├── expectations │ │ └── flowers-testing-suite.html │ │ ├── index.html │ │ ├── static │ │ ├── fonts │ │ │ └── HKGrotesk │ │ │ │ ├── HKGrotesk-Bold.otf │ │ │ │ ├── HKGrotesk-BoldItalic.otf │ │ │ │ ├── HKGrotesk-Italic.otf │ │ │ │ ├── HKGrotesk-Light.otf │ │ │ │ ├── HKGrotesk-LightItalic.otf │ │ │ │ ├── HKGrotesk-Medium.otf │ │ │ │ ├── HKGrotesk-MediumItalic.otf │ │ │ │ ├── HKGrotesk-Regular.otf │ │ │ │ ├── HKGrotesk-SemiBold.otf │ │ │ │ └── HKGrotesk-SemiBoldItalic.otf │ │ ├── images │ │ │ ├── favicon.ico │ │ │ ├── glossary_scroller.gif │ │ │ ├── iterative-dev-loop.png │ │ │ ├── logo-long-vector.svg │ │ │ ├── logo-long.png │ │ │ ├── short-logo-vector.svg │ │ │ ├── short-logo.png │ │ │ └── validation_failed_unexpected_values.gif │ │ └── styles │ │ │ ├── data_docs_custom_styles_template.css │ │ │ └── data_docs_default_styles.css │ │ └── validations │ │ └── flowers-testing-suite │ │ ├── 20220323-160616-flower-power │ │ └── 20220323T160616.401004Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-160821-flower-power │ │ └── 20220323T160821.831405Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-160847-flower-power │ │ └── 20220323T160847.623678Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-161204-flower-power │ │ └── 20220323T161204.328926Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-161302-flower-power │ │ └── 20220323T161302.474476Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-173407-flower-power │ │ └── 20220323T173407.184811Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-173915-flower-power │ │ └── 20220323T173915.328410Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-175155-flower-power │ │ └── 20220323T175155.768456Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-175556-flower-power │ │ └── 20220323T175556.734360Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220323-181740-flower-power │ │ └── 20220323T181740.660076Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-110411-flower-power │ │ └── 20220326T110411.802563Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-110434-flower-power │ │ └── 20220326T110434.688209Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-110547-flower-power │ │ └── 20220326T110547.184151Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-111556-flower-power │ │ └── 20220326T111556.777823Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-111749-flower-power │ │ └── 20220326T111749.434671Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220326-112354-flower-power │ │ └── 20220326T112354.123031Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220328-163941-flower-power │ │ └── 20220328T163941.774606Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220328-165332-flower-power │ │ └── 20220328T165332.094401Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220401-082631-flower-power │ │ └── 20220401T082631.122942Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220401-082736-flower-power │ │ └── 20220401T082736.909000Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220401-082853-flower-power │ │ └── 20220401T082853.524245Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220401-092839-flower-power │ │ └── 20220401T092839.442484Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220401-093147-flower-power │ │ └── 20220401T093147.711730Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-140817-flower-power │ │ └── 20220407T140817.005065Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-141032-flower-power │ │ └── 20220407T141032.983314Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-141252-flower-power │ │ └── 20220407T141252.106659Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-142509-flower-power │ │ └── 20220407T142509.048928Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-160331-flower-power │ │ └── 20220407T160331.334187Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-160608-flower-power │ │ └── 20220407T160608.916923Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ ├── 20220407-162639-flower-power │ │ └── 20220407T162639.634203Z │ │ │ └── 59b121deea2a244c85e029fac98a9341.html │ │ └── __none__ │ │ ├── 20220323T154111.399464Z │ │ └── e1fbab5e562b246627f315bba8f2e2c5.html │ │ └── 20220323T160325.915856Z │ │ └── 59b121deea2a244c85e029fac98a9341.html │ ├── datasource_new.ipynb │ ├── edit_flowers-testing-suite.ipynb │ └── validations │ └── flowers-testing-suite │ ├── 20220323-160616-flower-power │ └── 20220323T160616.401004Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-160821-flower-power │ └── 20220323T160821.831405Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-160847-flower-power │ └── 20220323T160847.623678Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-161204-flower-power │ └── 20220323T161204.328926Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-161302-flower-power │ └── 20220323T161302.474476Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-173407-flower-power │ └── 20220323T173407.184811Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-173915-flower-power │ └── 20220323T173915.328410Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-175155-flower-power │ └── 20220323T175155.768456Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-175556-flower-power │ └── 20220323T175556.734360Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220323-181740-flower-power │ └── 20220323T181740.660076Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-110411-flower-power │ └── 20220326T110411.802563Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-110434-flower-power │ └── 20220326T110434.688209Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-110547-flower-power │ └── 20220326T110547.184151Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-111556-flower-power │ └── 20220326T111556.777823Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-111749-flower-power │ └── 20220326T111749.434671Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220326-112354-flower-power │ └── 20220326T112354.123031Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220328-163941-flower-power │ └── 20220328T163941.774606Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220328-165332-flower-power │ └── 20220328T165332.094401Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220401-082631-flower-power │ └── 20220401T082631.122942Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220401-082736-flower-power │ └── 20220401T082736.909000Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220401-082853-flower-power │ └── 20220401T082853.524245Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220401-092839-flower-power │ └── 20220401T092839.442484Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220401-093147-flower-power │ └── 20220401T093147.711730Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-140817-flower-power │ └── 20220407T140817.005065Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-141032-flower-power │ └── 20220407T141032.983314Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-141252-flower-power │ └── 20220407T141252.106659Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-142509-flower-power │ └── 20220407T142509.048928Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-160331-flower-power │ └── 20220407T160331.334187Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-160608-flower-power │ └── 20220407T160608.916923Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ ├── 20220407-162639-flower-power │ └── 20220407T162639.634203Z │ │ └── 59b121deea2a244c85e029fac98a9341.json │ └── __none__ │ ├── 20220323T154111.399464Z │ └── e1fbab5e562b246627f315bba8f2e2c5.json │ └── 20220323T160325.915856Z │ └── 59b121deea2a244c85e029fac98a9341.json ├── img ├── cv.png ├── data-science-iteration.jpg ├── data-triangle.jpg ├── ds-workflow.jpg ├── flow_ex_0.png ├── flow_ex_1.png ├── george.jpg ├── mf_output.png ├── modern-ML-stack.jpg └── recsys_flow.jpg ├── notebooks ├── 1-Laptop-ML.ipynb ├── 2-ML-workflows-DAGs.ipynb ├── 3-ML-in-the-cloud.ipynb ├── 4-MF-MLOps-ecosystem.ipynb ├── metaflow_card_cache │ ├── BSTFlow │ │ └── runs │ │ │ ├── 7241 │ │ │ └── tasks │ │ │ │ └── 135791 │ │ │ │ └── cards │ │ │ │ └── default-391836476f40a3e1b7119ef40a2a9f4df47df566.html │ │ │ └── 7247 │ │ │ └── tasks │ │ │ └── 135831 │ │ │ └── cards │ │ │ └── default-3e711fddf3f2a09671ffe269cce1f87575e7e584.html │ ├── ClassificationFlow │ │ └── runs │ │ │ ├── 7237 │ │ │ └── tasks │ │ │ │ └── 135772 │ │ │ │ └── cards │ │ │ │ └── default-ecb984a6e4c1a9b4327bed862afe54718f0d9970.html │ │ │ ├── 7238 │ │ │ └── tasks │ │ │ │ └── 135778 │ │ │ │ └── cards │ │ │ │ └── default-31e294d11e571a473396377d15ed4727022467ef.html │ │ │ ├── 7240 │ │ │ └── tasks │ │ │ │ └── 135789 │ │ │ │ └── cards │ │ │ │ └── default-279d7b059cb4a79266d96fe6cee365ca7c3c3691.html │ │ │ ├── 7245 │ │ │ └── tasks │ │ │ │ └── 135816 │ │ │ │ └── cards │ │ │ │ └── default-d07fc183e8ffe8766d5716c5958c64bf7c37ff00.html │ │ │ ├── 7246 │ │ │ └── tasks │ │ │ │ └── 135822 │ │ │ │ └── cards │ │ │ │ └── default-f0fa0cb1e7cb036d8f6b3dbd962186f0352404d6.html │ │ │ └── 7248 │ │ │ └── tasks │ │ │ └── 135835 │ │ │ └── cards │ │ │ └── default-10bf4368daa628fb70bfa6b3829eab1b049b2a1a.html │ ├── NNFlow │ │ └── runs │ │ │ ├── 7242 │ │ │ └── tasks │ │ │ │ └── 135795 │ │ │ │ └── cards │ │ │ │ └── default-5f1fe3cf1b900ad67cc6689f509e79ac8a38eae7.html │ │ │ └── 7249 │ │ │ └── tasks │ │ │ └── 135837 │ │ │ └── cards │ │ │ └── default-2db0b70cabd5722dab6db2509b5afe89895caabd.html │ └── Template_Flow │ │ └── runs │ │ ├── 7235 │ │ └── tasks │ │ │ └── 135762 │ │ │ └── cards │ │ │ └── default-e0cf0714ead7ac7b26008f4d9bbb39efaa744a02.html │ │ └── 7243 │ │ └── tasks │ │ └── 135806 │ │ └── cards │ │ └── default-575bef75cedf64fe2e308c400aa287e41a6333a8.html └── model.json ├── scipy-full-stack-ml ├── .obs-metadata.json ├── README.md ├── data │ ├── Womens Clothing E-Commerce Reviews.csv │ ├── agaricus.txt.test │ ├── agaricus.txt.train │ └── titanic.csv ├── env.yml ├── explainers │ ├── analyze-training-results.html │ ├── baseline.html │ ├── baseline_flow.html │ ├── branch.html │ ├── break-1.html │ ├── break-2.html │ ├── break-3.html │ ├── broken-flow.html │ ├── catch.html │ ├── challenger-champion.html │ ├── challenger_flow.html │ ├── cloud-branch.html │ ├── cloud.html │ ├── compare-models.html │ ├── concepts.html │ ├── data-prep-ml-workflow.html │ ├── dl.html │ ├── eda-2.html │ ├── first-df-flow.html │ ├── fixed-flow.html │ ├── flow-deps.html │ ├── flow-template.html │ ├── full-nb.html │ ├── getting_started_with_argo.html │ ├── hpo.html │ ├── intro.html │ ├── iterative-ml.html │ ├── next.html │ ├── parallel.html │ ├── project.html │ ├── retry.html │ ├── rf-cloud-intro.html │ ├── rf.html │ ├── rule-based-model.html │ ├── serve-ab.html │ ├── serve-champ.html │ ├── timeout.html │ ├── titanic-1.html │ ├── tree-branch.html │ └── xgb.html ├── flows │ ├── cloud │ │ ├── event_triggered_linear_regression.py │ │ ├── event_triggered_linear_regression_solo.py │ │ ├── rf_flow_cloud.py │ │ ├── titanic_flow_5_cloud.py │ │ ├── tree_branch_cloud_flow.py │ │ ├── tree_branch_cloud_flow_deploy.py │ │ ├── tree_branch_cloud_step.py │ │ ├── tree_branch_cloud_step_student.py │ │ ├── tree_branch_flow_cloud.py │ │ └── tree_branch_flow_cloud_student.py │ └── local │ │ ├── NN_flow.py │ │ ├── NN_flow_student.py │ │ ├── boosted_flow.py │ │ ├── catch.py │ │ ├── div1.py │ │ ├── div2.py │ │ ├── flow_template.py │ │ ├── retry.py │ │ ├── retry_student.py │ │ ├── rf_flow.py │ │ ├── taxi_modules │ │ ├── __init__.py │ │ ├── dnn_data.py │ │ ├── dnn_model.py │ │ ├── encoders.py │ │ ├── feat_baseline.py │ │ ├── feat_euclidean.py │ │ ├── feat_gridtensor.py │ │ ├── keras_model.py │ │ ├── model_baseline.py │ │ ├── model_euclidean.py │ │ ├── model_grid.py │ │ ├── numpy_encoder.py │ │ ├── regression.py │ │ └── table_utils.py │ │ ├── timeout.py │ │ ├── titanic_baseline.py │ │ ├── titanic_flow_1.py │ │ ├── titanic_flow_2.py │ │ ├── titanic_flow_3.py │ │ ├── titanic_flow_3_student.py │ │ ├── titanic_flow_4.py │ │ ├── titanic_flow_5.py │ │ ├── titanic_flow_5_student.py │ │ ├── titanic_survival_predictor.py │ │ ├── titanic_survival_predictor_xgb.py │ │ ├── tree_branch_flow.py │ │ └── tree_branch_flow_student.py ├── img │ ├── argo-workflow-template.png │ ├── argo-workflow.png │ ├── biz-value-1.png │ ├── biz-value-2.png │ ├── biz-value-3.png │ ├── cv.png │ ├── data-science-iteration.jpg │ ├── data-triangle.jpg │ ├── ds-workflow.jpg │ ├── flow_ex_0.png │ ├── flow_ex_1.png │ ├── george.jpg │ ├── mf_output.png │ ├── modern-ML-stack.jpg │ ├── ob_front_exp.png │ ├── recsys_flow.jpg │ └── zombies.jpg ├── model-server.py ├── notebooks │ ├── break-1.ipynb │ ├── break-2.ipynb │ ├── break-3.ipynb │ ├── challenger-champion.ipynb │ ├── concepts.ipynb │ ├── endpoint-ab.ipynb │ ├── endpoint-champ-only.ipynb │ ├── images │ │ ├── step-1-env.png │ │ ├── step-2-env.png │ │ └── step-3-env.png │ ├── intro.ipynb │ ├── next.ipynb │ ├── week-1-eda.ipynb │ ├── week-2-branch.ipynb │ ├── week-2-compare-models.ipynb │ ├── week-2-final-analysis.ipynb │ ├── week-2-iterate.ipynb │ ├── week-2.ipynb │ └── workflow.ipynb └── workspace.code-workspace └── slides └── MLOps-vs-DevOps.pdf /.github/workflows/test.yaml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/outerbounds/full-stack-ML-metaflow-tutorial/HEAD/.github/workflows/test.yaml -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/outerbounds/full-stack-ML-metaflow-tutorial/HEAD/.gitignore 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