├── .github └── workflows │ └── release.yaml ├── .gitignore ├── README.md ├── examples ├── README.md ├── diabetes_prediction │ ├── core │ │ ├── base.py │ │ ├── data.py │ │ └── pipeline.py │ ├── inference.py │ ├── online_inference.py │ └── train.py ├── digit_recognition │ ├── confusion_matrix.png │ ├── data.py │ ├── inference.py │ ├── online_inference.py │ ├── train.py │ └── utils.py ├── iris_classifier │ ├── data.py │ ├── inference.py │ ├── inference_results │ │ ├── inference_results.json │ │ └── test_data.json │ ├── online_inference.py │ └── train.py ├── iris_inference_server │ ├── __init__.py │ ├── load_model.py │ ├── routers.py │ └── schemas.py ├── multi_model │ ├── entrypoint.py │ ├── pipeline.py │ └── utils.py ├── student_performance │ ├── data │ │ └── raw_data │ │ │ └── student_performance.csv │ ├── entrypoint.py │ └── src │ │ ├── data_processing.py │ │ └── pipelines.py ├── utils │ ├── decorators.py │ ├── file_utils.py │ └── mlflow_utils.py └── walmart_sales_regression │ ├── base.py │ ├── configs.yaml │ ├── data.py │ ├── inference.py │ ├── online_inference.py │ └── train.py ├── mlflow_for_ml_dev ├── __init__.py ├── notebooks │ ├── experiment_tracking_fundamentals │ │ ├── 1_1_experiments_create_experiments.ipynb │ │ ├── 1_2_experiments_retrieve_experiments.ipynb │ │ ├── 1_3_experiments_update_experiments.ipynb │ │ ├── 1_4_experiments_delete_experiments.ipynb │ │ ├── 2_1_runs_create_run.ipynb │ │ ├── 2_2_runs_retrieve_run.ipynb │ │ ├── 2_3_runs_update_run.ipynb │ │ ├── 2_4_runs_nested_runs.ipynb │ │ ├── 2_5_runs_delete_run.ipynb │ │ ├── 3_1_login_functions.ipynb │ │ ├── 3_2_logging_models.ipynb │ │ ├── 3_3_model_signature.ipynb │ │ ├── 3_4_signature_enforcement.ipynb │ │ ├── 4_1_log_custom_functions.ipynb │ │ ├── 4_2_custom_functions_context.ipynb │ │ ├── 5_1_registering_a_model.ipynb │ │ ├── 5_2_update_registered_model.ipynb │ │ ├── 5_3_update_model_version.ipynb │ │ ├── 5_4_retrieve_model_info.ipynb │ │ ├── 5_5_loading_registered_models.ipynb │ │ ├── 5_6_delete_registered_model_info.ipynb │ │ ├── 6_1_searching_experiments.ipynb │ │ ├── 6_2_searching_runs.ipynb │ │ ├── 6_3_searching_models.ipynb │ │ ├── artifacts_example │ │ │ ├── feature_importance.png │ │ │ ├── predictions.csv │ │ │ └── rf_5trees.png │ │ └── examples │ │ │ ├── 1_1_iris_plants.ipynb │ │ │ ├── 1_2_diabetes.ipynb │ │ │ ├── 1_3_optical_recognition.ipynb │ │ │ ├── 1_4_linnerrud.ipynb │ │ │ ├── 1_5_wine_recognition.ipynb │ │ │ ├── 1_6_breast_cancer_wisconsin.ipynb │ │ │ ├── 1_organizing_experiments.ipynb │ │ │ ├── 2_custom_function_model_drift_usecase.ipynb │ │ │ └── 3_custom_function_wrapping_multiple_models.ipynb │ ├── local_model_serving │ │ ├── deploying_local_diabetes_prediction.ipynb │ │ ├── deploying_local_digit_recognizer.ipynb │ │ ├── deploying_local_iris_model.ipynb │ │ └── deploying_local_sales_regressor.ipynb │ └── traditional_ml_evaluation │ │ ├── 1_1_model_evaluation_with_mlflow.ipynb │ │ ├── 1_2_custom_metrics.ipynb │ │ ├── 1_3_custom_artifacts.ipynb │ │ 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