logml.feature_importance.extractors.model_interpret

Classes

ModelInterpretImportanceExtractor([config])

Feature importance method based on model explainability.

class logml.feature_importance.extractors.model_interpret.ModelInterpretImportanceExtractor(config=None, **kwargs)

Bases: logml.feature_importance.base.BaseImportanceExtractor

Feature importance method based on model explainability.

LABEL = 'model_interpret'

CONFIG_CLASS = None

EXPLANATIONS_DUMP_FILENAME = 'explanation_result.pickle'

extract_model_feature_importance(model_name: Optional[str] = None, model_cls: Optional[Type[logml.models.base.BaseModel]] = None, params: Optional[dict] = None, dataset: Optional[logml.data.datasets.cv_dataset.ModelingDataset] = None, model=None)

Feature importance extraction for single model.

raw_fis: Dict[str, List]