Low-level usage - Examples ========================== Example for in-a-nutshell overview ---------------------------------- .. toctree:: :maxdepth: 1 examples/01_introduction/01_building_blocks Example explaining the principles --------------------------------- .. toctree:: :maxdepth: 1 examples/01_introduction/02_inheritance_example Examples illustrating the training process ------------------------------------------ .. toctree:: :maxdepth: 1 examples/01_introduction/03_trainer examples/01_introduction/04_more_on_training_models examples/01_introduction/05_what_happens_during_model_creation_and_training Example explaining the available distributions ---------------------------------------------- .. toctree:: :maxdepth: 1 examples/01_introduction/06_distributions Regression examples ------------------- .. toctree:: :maxdepth: 1 examples/01_introduction/07_regression examples/01_introduction/08_gaussian_process_regression examples/01_introduction/09_logistic_regression Efficient structure creation and reuse -------------------------------------- .. toctree:: :maxdepth: 1 examples/01_introduction/10_copying_templates_serialization Examples explaining the objective classes ----------------------------------------- .. toctree:: :maxdepth: 1 examples/02_objectives/01_probability_estimator examples/02_objectives/02_influence_estimator examples/02_objectives/03_predictor examples/02_objectives/04_evaluator examples/02_objectives/05_rank_estimator examples/02_objectives/06_outlier_detector Examples on causal calculus --------------------------- .. toctree:: :maxdepth: 1 examples/05_causal_inference/01-Basics Examples on time-series modeling -------------------------------- .. toctree:: :maxdepth: 1 examples/06_time_series/01-creating-arma-graphs examples/06_time_series/02-fitting-a-sarima-model Examples illustrating the advantages of Halerium ------------------------------------------------ .. _core advantages: These examples illustrate the advantages of Halerium compared to standard machine learning packages: .. toctree:: :maxdepth: 1 examples/03_why_care/01_prediction_uncertainty examples/03_why_care/02_model_uncertainty_propagation examples/03_why_care/03_training_with_missing_data examples/03_why_care/04_encoding_causal_structure examples/03_why_care/05_reusing_old_models