├── .gitignore ├── Chapter01 ├── Dockerfile ├── chapther_01_introducing_ml_flow.ipynb ├── run.sh └── stockpred │ ├── .gitignore │ ├── Dockerfile │ ├── MLproject │ ├── Makefile │ ├── README.md │ ├── test.csv │ └── train.py ├── Chapter03 └── gradflow │ ├── .dockerignore │ ├── .env │ ├── .github │ ├── ISSUE_TEMPLATE │ │ ├── bug-fix-ticket-template.md │ │ ├── epic-ticket-template.md │ │ ├── feature-ticket-template.md │ │ ├── spike-ticket-template.md │ │ └── task-ticket-template.md │ └── pull_request_template.md │ ├── .gitignore │ ├── .pylintrc │ ├── .travis.yml │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── docker-compose.yml │ ├── docker │ ├── jupyter │ │ ├── Dockerfile │ │ ├── requirements.test.txt │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── mlflow │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── postgres │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── init.sql │ └── python-dev │ │ ├── Dockerfile │ │ ├── Dockerfile.dockerignore │ │ └── requirements.txt │ ├── notebooks │ ├── mlflow_sample.ipynb │ ├── randomizer_model │ │ ├── MLmodel │ │ └── conda.yaml │ └── stockpred_randomizer.ipynb │ ├── requirements.txt │ ├── setup.py │ ├── src │ └── workbench │ │ └── __init__.py │ ├── tests │ ├── docker │ │ ├── __init__.py │ │ └── test_mlflow.py │ ├── python │ │ ├── __init__.py │ │ └── test_version.py │ └── run_docker_tests.sh │ └── tox.ini ├── Chapter04 └── gradflow │ ├── .dockerignore │ ├── .env │ ├── .gitignore │ ├── .pylintrc │ ├── .travis.yml │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── docker-compose.yml │ ├── docker │ ├── jupyter │ │ ├── Dockerfile │ │ ├── requirements.test.txt │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── mlflow │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── postgres │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── init.sql │ └── python-dev │ │ ├── Dockerfile │ │ ├── Dockerfile.dockerignore │ │ └── requirements.txt │ ├── notebooks │ ├── hyperopt_optimization_logistic_regression_mlflow.ipynb │ ├── mlflow_run_keras.ipynb │ ├── mlflow_run_logistic_regression.ipynb │ ├── mlflow_run_xgboost.ipynb │ ├── retrieve_training_data.ipynb │ └── training_data.csv │ ├── requirements.txt │ ├── setup.py │ ├── src │ └── workbench │ │ └── __init__.py │ ├── tests │ ├── docker │ │ ├── __init__.py │ │ └── test_mlflow.py │ ├── python │ │ ├── __init__.py │ │ └── test_version.py │ └── run_docker_tests.sh │ └── tox.ini ├── Chapter05 └── gradflow │ ├── .dockerignore │ ├── .env │ ├── .gitignore │ ├── .pylintrc │ ├── .travis.yml │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── docker-compose.yml │ ├── docker │ ├── jupyter │ │ ├── Dockerfile │ │ ├── requirements.test.txt │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── mlflow │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── scripts │ │ │ └── wait-for-it.sh │ ├── postgres │ │ ├── .dockerignore │ │ ├── Dockerfile │ │ └── init.sql │ └── python-dev │ │ ├── Dockerfile │ │ ├── Dockerfile.dockerignore │ │ └── requirements.txt │ ├── notebooks │ ├── hyperopt_optimization_logistic_regression_mlflow.ipynb │ ├── mlflow_run_keras.ipynb │ ├── models_under_the_hood_mlflow.ipynb │ ├── random_custom_logging_model.ipynb │ └── training_data.csv │ ├── requirements.txt │ ├── setup.py │ ├── src │ └── workbench │ │ └── __init__.py │ ├── tests │ ├── docker │ │ ├── __init__.py │ │ └── test_mlflow.py │ ├── python │ │ ├── __init__.py │ │ └── test_version.py │ └── run_docker_tests.sh │ └── tox.ini ├── Chapter07 ├── psystock-data-features-main │ ├── .gitignore │ ├── LICENSE │ ├── MLproject │ ├── README.md │ ├── check_verify_data.py │ ├── conda.yaml │ ├── data │ │ ├── manifest.yaml │ │ ├── original_raw │ │ │ ├── data.csv │ │ │ └── manifest.yaml │ │ ├── raw │ │ │ ├── data.csv │ │ │ └── manifest.yaml │ │ ├── staging │ │ │ ├── data.csv │ │ │ └── manifest.yaml │ │ └── training │ │ │ ├── data.csv │ │ │ └── manifest.yaml │ ├── feature_set_generation.py │ ├── load_raw_data.py │ └── main.py └── psystock_feature_store │ ├── add_features.ipynb │ ├── data │ ├── features.csv │ ├── features.parquet │ ├── online_store.db │ └── registry.db │ ├── driver_stats.parquet │ ├── feature_store.yaml │ └── register_features.py ├── Chapter08 ├── gradflow │ ├── .dockerignore │ ├── .env │ ├── .gitignore │ ├── .pylintrc │ ├── .travis.yml │ ├── LICENSE │ ├── Makefile │ ├── README.md │ ├── docker-compose.yml │ ├── docker │ │ ├── jupyter │ │ │ ├── Dockerfile │ │ │ ├── requirements.test.txt │ │ │ └── scripts │ │ │ │ └── wait-for-it.sh │ │ ├── mlflow │ │ │ ├── .dockerignore │ │ │ ├── Dockerfile │ │ │ └── scripts │ │ │ │ └── wait-for-it.sh │ │ ├── postgres │ │ │ ├── .dockerignore │ │ │ ├── Dockerfile │ │ │ └── init.sql │ │ └── python-dev │ │ │ ├── Dockerfile │ │ │ ├── Dockerfile.dockerignore │ │ │ └── requirements.txt │ ├── requirements.txt │ ├── setup.py │ ├── src │ │ └── workbench │ │ │ └── __init__.py │ ├── tests │ │ ├── docker │ │ │ ├── __init__.py │ │ │ └── test_mlflow.py │ │ ├── python │ │ │ ├── __init__.py │ │ │ └── test_version.py │ │ └── run_docker_tests.sh │ └── tox.ini ├── psystock-training-docker │ ├── .gitignore │ ├── Dockerfile │ ├── MLproject │ ├── mlflow_db │ └── training_project │ │ ├── LICENSE │ │ ├── MLproject │ │ ├── README.md │ │ ├── conda.yaml │ │ ├── data │ │ ├── predictions │ │ │ └── test_predictions.csv │ │ └── training │ │ │ └── data.csv │ │ ├── evaluate_model.py │ │ ├── main.py │ │ ├── register_model.py │ │ └── train_model.py └── psystock-training │ ├── .gitignore │ ├── LICENSE │ ├── MLproject │ ├── README.md │ ├── conda.yaml │ ├── data │ ├── predictions │ │ └── test_predictions.csv │ └── training │ │ └── data.csv │ ├── evaluate_model.py │ ├── main.py │ ├── mlflow_db │ ├── register_model.py │ ├── tmp │ └── 0 │ │ └── ed0a40810bbb44d883b6b7bb54776e12 │ │ └── artifacts │ │ ├── feature_importance_weight.json │ │ ├── feature_importance_weight.png │ │ └── model │ │ ├── MLmodel │ │ ├── conda.yaml │ │ └── model.xgb │ └── train_model.py ├── Chapter09 ├── Makefile ├── gradflow │ ├── Makefile │ ├── mlflow_db │ └── tmp │ │ └── 0 │ │ └── 31fc9974587243d181fdbebfd4d2b6ad │ │ └── artifacts │ │ ├── feature_importance_weight.json │ │ ├── feature_importance_weight.png │ │ └── model │ │ ├── MLmodel │ │ ├── conda.yaml │ │ └── model.xgb ├── mlflow_db ├── psystock-inference-api-aws-sagemaker │ ├── api_predictions_client.py │ └── mlflow_db ├── psystock-inference-api │ ├── .gitignore │ ├── LICENSE │ ├── MLproject │ ├── README.md │ ├── conda.yaml │ ├── data │ │ ├── predictions │ │ │ └── test_predictions.csv │ │ └── training │ │ │ └── data.csv │ ├── evaluate_model.py │ ├── main.py │ ├── register_model.py │ └── train_model.py ├── psystock-inference-batch │ ├── .gitignore │ ├── Dockerfile │ ├── MLproject │ ├── batch_scoring.py │ ├── data │ │ ├── input.csv │ │ └── output.csv │ └── mlflow_db └── tmp │ └── 0 │ └── 31fc9974587243d181fdbebfd4d2b6ad │ └── artifacts │ ├── feature_importance_weight.json │ ├── feature_importance_weight.png │ └── model │ ├── MLmodel │ ├── conda.yaml │ └── model.xgb ├── Chapter10 ├── databricks-notebooks │ ├── bitpred_poc.dbc │ └── input_prediction.csv └── mlflow-ray-serve-integration │ ├── ray_serving.py │ └── tmp │ └── 0 │ └── 31fc9974587243d181fdbebfd4d2b6ad │ └── artifacts │ ├── feature_importance_weight.json │ ├── feature_importance_weight.png │ └── model │ ├── MLmodel │ ├── conda.yaml │ └── model.xgb ├── Chapter11 ├── mlflow_db └── model_performance_drifts │ ├── .reports │ └── reports_model_performance.html │ ├── data_and_target_drift.html │ ├── filename.json │ ├── monitoring_data_drift_performance.ipynb │ ├── monitoring_models_drifts.ipynb │ ├── monitoring_target_drifts.ipynb │ ├── reference_training_data.csv │ ├── reports │ ├── boston_data_drift_no_mapping.html │ ├── classification_performance.html │ ├── data_and_target_drift.html │ ├── my_report.html │ ├── reports_model_performance.html │ └── target_drift.html │ ├── reports_data_drift │ ├── input_data_drift.html │ └── input_data_drift.json │ ├── 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