├── models └── preprocessor.b ├── mlruns └── 1 │ ├── 0719ae913ca94ee986dbfbe18a64c48d │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── 0c7c0b88f57849d7995b7fdb241a2634 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── 2a101369824944db8806a5bdacddebb8 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── 2cc9b213ea904942b6be7d167189faad │ └── artifacts │ │ └── preprocessor │ │ └── preprocessor.b │ ├── 2d052f3c81d94f668ff692d30de4dde6 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── 2f2fd05a2d9246d5a453f348101a2d22 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── 38b13c6b960246ee994964d13890fc40 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── 4437363503c94a9b9b402bb284044757 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── metric_info.json │ ├── 6d8a26be2cbf4d128ea91108bb64c092 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── 81e214022ef240ffafc56bed521e6d5b │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── 966a643b019f401f9cbd8c62e0e8a03d │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── 99367fb3dbb74bed8bf4328aa5531cd0 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ └── training_precision_recall_curve.png │ ├── aa423bc000fa4a02a9e469ae0a12d923 │ └── artifacts │ │ └── preprocessor │ │ └── preprocessor.b │ ├── ad2151c2cdab4df9ae1224c29ec1d880 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── metric_info.json │ ├── b2a3372b25fd41caa5f9fa7c50eb4d7c │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── bb2a4762e3774abe8d8567fedac0a3e4 │ └── artifacts │ │ └── preprocessor │ │ └── preprocessor.b │ ├── bee8a901435a4169b0877ac7ab9e6a01 │ └── artifacts │ │ └── preprocessor │ │ └── preprocessor.b │ ├── c4a7979eebc246c999d54f180160d38d │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── c6fa72d991b64ebbb17fd651b189f736 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ └── estimator.html │ ├── e9c4e688abcb4711aeddf999ff538a82 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── ed239b0651ff4c40a247cbfe6d1a9278 │ └── artifacts │ │ ├── preprocessor │ │ └── preprocessor.b │ │ ├── model │ │ ├── requirements.txt │ │ ├── python_env.yaml │ │ ├── model.pkl │ │ ├── conda.yaml │ │ └── MLmodel │ │ ├── training_roc_curve.png │ │ ├── training_confusion_matrix.png │ │ ├── training_precision_recall_curve.png │ │ ├── metric_info.json │ │ └── estimator.html │ ├── edc9e03cde804d0e978398c5bb1fee3a │ └── artifacts │ │ └── preprocessor │ │ └── preprocessor.b │ └── fb9a0f17fbf247f6805780cecc9e7383 │ └── artifacts │ ├── preprocessor │ └── preprocessor.b │ ├── model │ ├── requirements.txt │ ├── python_env.yaml │ ├── model.pkl │ ├── conda.yaml │ └── MLmodel │ ├── training_roc_curve.png │ ├── training_confusion_matrix.png │ ├── training_precision_recall_curve.png │ └── estimator.html ├── requirements.txt ├── mlflow.db ├── broucher.pdf ├── Images ├── Program.png └── Session.png ├── MLOps using MLFlow.pptx ├── README.md └── Command_File.txt /models/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/2cc9b213ea904942b6be7d167189faad/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/aa423bc000fa4a02a9e469ae0a12d923/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/bb2a4762e3774abe8d8567fedac0a3e4/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/bee8a901435a4169b0877ac7ab9e6a01/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/edc9e03cde804d0e978398c5bb1fee3a/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/preprocessor/preprocessor.b: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | catboost 2 | xgboost 3 | scikit-learn 4 | pandas 5 | numpy 6 | optuna -------------------------------------------------------------------------------- /mlflow.db: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlflow.db -------------------------------------------------------------------------------- /broucher.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/broucher.pdf -------------------------------------------------------------------------------- /Images/Program.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/Images/Program.png -------------------------------------------------------------------------------- /Images/Session.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/Images/Session.png -------------------------------------------------------------------------------- /MLOps using MLFlow.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/MLOps using MLFlow.pptx -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 6 | xgboost==1.7.3 -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/requirements.txt: -------------------------------------------------------------------------------- 1 | mlflow<3,>=2.1 2 | cloudpickle==2.2.1 3 | psutil==5.9.0 4 | scikit-learn==1.2.1 5 | typing-extensions==4.4.0 6 | xgboost==1.7.3 -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/python_env.yaml: -------------------------------------------------------------------------------- 1 | python: 3.10.9 2 | build_dependencies: 3 | - pip==22.3.1 4 | - setuptools==65.6.3 5 | - wheel==0.37.1 6 | dependencies: 7 | - -r requirements.txt 8 | -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/model.pkl -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_roc_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_roc_curve.png -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_confusion_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_confusion_matrix.png -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_precision_recall_curve.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/HEAD/mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/training_precision_recall_curve.png -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | name: mlflow-env 13 | -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | - xgboost==1.7.3 13 | name: mlflow-env 14 | -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/conda.yaml: -------------------------------------------------------------------------------- 1 | channels: 2 | - conda-forge 3 | dependencies: 4 | - python=3.10.9 5 | - pip<=22.3.1 6 | - pip: 7 | - mlflow<3,>=2.1 8 | - cloudpickle==2.2.1 9 | - psutil==5.9.0 10 | - scikit-learn==1.2.1 11 | - typing-extensions==4.4.0 12 | - xgboost==1.7.3 13 | name: mlflow-env 14 | -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/metric_info.json: -------------------------------------------------------------------------------- 1 | { 2 | "accuracy_score_X_test": "accuracy_score(y_true=y_test, y_pred=y_pred)", 3 | "cohen_kappa_score_X_test": "cohen_kappa_score(y1=y_test, y2=y_pred)", 4 | "precision_score_X_test": "precision_score(y_true=y_test, y_pred=y_pred)", 5 | "recall_score_X_test": "recall_score(y_true=y_test, y_pred=y_pred)", 6 | "roc_auc_score_X_test": "roc_auc_score(y_true=y_test, y_score=y_pred)" 7 | } -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # MLFlow End-to-End Workshop at Chandigarh University 2 | **ML End-to-End End Workshop at Chandigarh University** 3 | 4 | | ![](https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/main/Images/Session.png) | ![](https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/main/Images/Program.png) | 5 | | ------------------------------------------------------------ | ------------------------------------------------------------ | 6 | 7 | **Command file to follow this MLFlow Session :** [🗃️](https://raw.githubusercontent.com/ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University/main/Command_File.txt) 8 | 9 | --- 10 | 11 | ***Thanks for Reading...🙏🙏🙏*** 12 | -------------------------------------------------------------------------------- /Command_File.txt: -------------------------------------------------------------------------------- 1 | Step 1: Open the Vscode 2 | 3 | Step 2: Open the folder where your data is there 4 | 5 | Step 3: Install python extension and Jupyter Extension from the Extension tab on vs code 6 | 7 | Step 4: Press the shortcut ==> CTRL + SHIFT + P to select the python terminal 8 | 9 | Step 5: Once you select your python terminal, open the new terminal from ==> terminal/new terminal 10 | 11 | Step 6: So your latest python environment is created. 12 | 13 | Step 7: you have to install the packages type below command to install packages 14 | 15 | => First type this in termnial 16 | 17 | pip install matplotlib 18 | 19 | => Second type this in terminal 20 | 21 | pip install -r requirements.txt 22 | 23 | Step 8: your environment is setup now and check the version of mlflow by typing below command in terminal 24 | 25 | mlflow --version 26 | 27 | Step 9: Time to create the server of mlflow 28 | 29 | For default server 30 | 31 | Command 1: 32 | mlflow server --backend-store-uri sqlite:///mlflow.db 33 | 34 | 35 | For Customizing url 36 | 37 | Command 2: 38 | mlflow server --backend-store-uri sqlite:///mlflow.db --host 0.0.0.0 --port 5050 39 | 40 | Next all will be in doing in jupyter notebook 41 | -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 1898e49eee9843eb8866081398c254b8 18 | run_id: 0719ae913ca94ee986dbfbe18a64c48d 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:33:12.971990' 28 | -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: b6bb8f6be753454cb3c750ad030156e9 18 | run_id: 0c7c0b88f57849d7995b7fdb241a2634 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:41.020122' 28 | -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 630d51a38ae9473b802e708e2218f753 18 | run_id: 2a101369824944db8806a5bdacddebb8 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:23.883331' 28 | -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 931b6c1cea6f408c8e126c474a6b5751 18 | run_id: 2d052f3c81d94f668ff692d30de4dde6 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:33:06.821949' 28 | -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 81f7bbed783d413da014161dbb72c206 18 | run_id: 2f2fd05a2d9246d5a453f348101a2d22 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:29.296091' 28 | -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 2b979d7eb6ff40e0a3d309c8c5082651 18 | run_id: 38b13c6b960246ee994964d13890fc40 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:33:00.747859' 28 | -------------------------------------------------------------------------------- /mlruns/1/4437363503c94a9b9b402bb284044757/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 2a76d88a44be47eeb67b015a8b427dea 18 | run_id: 4437363503c94a9b9b402bb284044757 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:51:40.788270' 28 | -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 5e36cda3fa124d65a8fc04df597bbf92 18 | run_id: 6d8a26be2cbf4d128ea91108bb64c092 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:46.964617' 28 | -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 4e11d9673198418b8251ec9ce4696e0b 18 | run_id: 81e214022ef240ffafc56bed521e6d5b 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:51:46.749682' 28 | -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: ce4e04eb58334234ae95170737802278 18 | run_id: 966a643b019f401f9cbd8c62e0e8a03d 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:16.703312' 28 | -------------------------------------------------------------------------------- /mlruns/1/99367fb3dbb74bed8bf4328aa5531cd0/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 5f5b3a1c4a9543a7a35cd9df6178ebd7 18 | run_id: 99367fb3dbb74bed8bf4328aa5531cd0 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int32", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:58.384149' 28 | -------------------------------------------------------------------------------- /mlruns/1/ad2151c2cdab4df9ae1224c29ec1d880/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 5ef5ac802aa444b9867af820cf3354c2 18 | run_id: ad2151c2cdab4df9ae1224c29ec1d880 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int32", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:33:24.784793' 28 | -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 6bf03a1cb36f41378d177c4afbc21812 18 | run_id: b2a3372b25fd41caa5f9fa7c50eb4d7c 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:32:48.818135' 28 | -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: ec82dfcc58cb4a86b35d7b4dadf9d5a6 18 | run_id: c4a7979eebc246c999d54f180160d38d 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:32:54.761091' 28 | -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 52fca8cb801241c6a8467c18d9631e67 18 | run_id: c6fa72d991b64ebbb17fd651b189f736 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:35.101902' 28 | -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 100cbb89c2474adaacfe369103d9b255 18 | run_id: e9c4e688abcb4711aeddf999ff538a82 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:32:42.983595' 28 | -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: 9bf4cab4ba81414eb0d96eb55b43f671 18 | run_id: ed239b0651ff4c40a247cbfe6d1a9278 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:33:19.270327' 28 | -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/model/MLmodel: -------------------------------------------------------------------------------- 1 | artifact_path: model 2 | flavors: 3 | python_function: 4 | env: 5 | conda: conda.yaml 6 | virtualenv: python_env.yaml 7 | loader_module: mlflow.sklearn 8 | model_path: model.pkl 9 | predict_fn: predict 10 | python_version: 3.10.9 11 | sklearn: 12 | code: null 13 | pickled_model: model.pkl 14 | serialization_format: cloudpickle 15 | sklearn_version: 1.2.1 16 | mlflow_version: 2.1.1 17 | model_uuid: e1d83e72f6b84883bbd01279a7cc15e7 18 | run_id: fb9a0f17fbf247f6805780cecc9e7383 19 | signature: 20 | inputs: '[{"name": "Age", "type": "long"}, {"name": "Sex", "type": "string"}, {"name": 21 | "ChestPainType", "type": "string"}, {"name": "RestingBP", "type": "long"}, {"name": 22 | "Cholesterol", "type": "long"}, {"name": "FastingBS", "type": "long"}, {"name": 23 | "RestingECG", "type": "string"}, {"name": "MaxHR", "type": "long"}, {"name": "ExerciseAngina", 24 | "type": "string"}, {"name": "Oldpeak", "type": "double"}, {"name": "ST_Slope", 25 | "type": "string"}]' 26 | outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]' 27 | utc_time_created: '2023-02-03 09:30:52.728375' 28 | -------------------------------------------------------------------------------- /mlruns/1/2a101369824944db8806a5bdacddebb8/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('svc', SVC())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/b2a3372b25fd41caa5f9fa7c50eb4d7c/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('svc', SVC())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/2f2fd05a2d9246d5a453f348101a2d22/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('kneighborsclassifier', KNeighborsClassifier())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/966a643b019f401f9cbd8c62e0e8a03d/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('lineardiscriminantanalysis', LinearDiscriminantAnalysis())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/c6fa72d991b64ebbb17fd651b189f736/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('adaboostclassifier', AdaBoostClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/c4a7979eebc246c999d54f180160d38d/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('kneighborsclassifier', KNeighborsClassifier())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/e9c4e688abcb4711aeddf999ff538a82/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('lineardiscriminantanalysis', LinearDiscriminantAnalysis())])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/fb9a0f17fbf247f6805780cecc9e7383/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('extratreesclassifier', ExtraTreesClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/38b13c6b960246ee994964d13890fc40/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('adaboostclassifier', AdaBoostClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/81e214022ef240ffafc56bed521e6d5b/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('extratreesclassifier', ExtraTreesClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/ed239b0651ff4c40a247cbfe6d1a9278/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('extratreesclassifier', ExtraTreesClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
28 | 29 | 30 | -------------------------------------------------------------------------------- /mlruns/1/6d8a26be2cbf4d128ea91108bb64c092/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('randomforestclassifier',
17 |                  RandomForestClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
30 | 31 | 32 | -------------------------------------------------------------------------------- /mlruns/1/0c7c0b88f57849d7995b7fdb241a2634/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('gradientboostingclassifier',
17 |                  GradientBoostingClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
30 | 31 | 32 | -------------------------------------------------------------------------------- /mlruns/1/0719ae913ca94ee986dbfbe18a64c48d/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('randomforestclassifier',
17 |                  RandomForestClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
30 | 31 | 32 | -------------------------------------------------------------------------------- /mlruns/1/2d052f3c81d94f668ff692d30de4dde6/artifacts/estimator.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 
Pipeline(steps=[('columntransformer',
 9 |                  ColumnTransformer(remainder='passthrough',
10 |                                    transformers=[('onehotencoder',
11 |                                                   OneHotEncoder(),
12 |                                                   ['Sex', 'ChestPainType',
13 |                                                    'RestingECG',
14 |                                                    'ExerciseAngina',
15 |                                                    'ST_Slope'])])),
16 |                 ('gradientboostingclassifier',
17 |                  GradientBoostingClassifier(random_state=0))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
30 | 31 | 32 | --------------------------------------------------------------------------------