Welcome to ML_classification’s documentation

See Advanced workflows for fairness checks, calibration and report artefact collection. See the Binder badge in notebooks/README.md for a quick start running the demo notebooks online. These Binder sessions do not include the Kaggle dataset and cannot download it without credentials.

For citation instructions see ../CITATION.cff.

Contents:

• Command-line usage
  • Dataset summary
  • Local testing
• Advanced workflows
  • Grid search
  • Calibration
  • Fairness checks
  • SHAP values
  • SHAP plots
  • Report artefacts
• API reference
  • clean()
  • load_raw()
  • FeatureEngineer
  • build_preprocessor()
  • make_preprocessor()
  • safe_transform()
  • validate_prep()
  • build_pipeline()
  • grid_train_from_df()
  • load_data()
  • main()
  • train_from_df()
  • build_pipeline()
  • grid_train_from_df()
  • load_data()
  • main()
  • train_from_df()
  • main()
  • evaluate_models()
  • main()
  • main()
  • calibrate_model()
  • main()
  • dedup_pairs()
  • is_binary_numeric()
  • prefix()
  • set_seeds()
  • zeros_like()
  • dataset_summary()
  • main()