bluecast.tests.test_cast¶
Module Contents¶
Classes¶
Functions¶
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Test that tests the BlueCast class |
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- bluecast.tests.test_cast.synthetic_train_test_data() Tuple[pandas.DataFrame, pandas.DataFrame]¶
- bluecast.tests.test_cast.synthetic_calibration_data() pandas.DataFrame¶
- bluecast.tests.test_cast.synthetic_multiclass_train_test_data() Tuple[pandas.DataFrame, pandas.DataFrame]¶
- bluecast.tests.test_cast.test_blueprint_xgboost(synthetic_train_test_data, synthetic_multiclass_train_test_data, synthetic_calibration_data)¶
Test that tests the BlueCast class
- class bluecast.tests.test_cast.CustomModel¶
Bases:
bluecast.ml_modelling.base_classes.BaseClassMlModel- fit(x_train: pandas.DataFrame, x_test: pandas.DataFrame, y_train: pandas.Series, y_test: pandas.Series) None¶
- predict(df: pandas.DataFrame) Tuple[bluecast.ml_modelling.base_classes.PredictedProbas, bluecast.ml_modelling.base_classes.PredictedClasses]¶
- bluecast.tests.test_cast.test_bluecast_with_custom_model()¶
- bluecast.tests.test_cast.bluecast_instance()¶
- bluecast.tests.test_cast.test_enable_feature_selection_warning(bluecast_instance)¶
- bluecast.tests.test_cast.test_hypertuning_cv_folds_warning(bluecast_instance)¶
- bluecast.tests.test_cast.test_missing_feature_selector_warning()¶
- bluecast.tests.test_cast.test_missing_xgboost_tune_params_config_warning()¶
- bluecast.tests.test_cast.test_shap_values_and_ml_algorithm_warning(bluecast_instance)¶
- bluecast.tests.test_cast.test_cat_encoding_via_ml_algorithm_and_ml_model_warning()¶
- bluecast.tests.test_cast.test_precise_cv_tuning_warnings(bluecast_instance)¶
- bluecast.tests.test_cast.test_class_problem_mismatch_warnings(bluecast_instance)¶
- bluecast.tests.test_cast.test_categorical_encoding_not_supported_by_exact_tree_method(bluecast_instance)¶