init_validate_scorers#
- init_validate_scorers(scorers: Union[Mapping[str, Union[str, Callable]], List[str]], model: BasicModel, dataset: Dataset, model_classes: Optional[List], observed_classes: Optional[List]) List[DeepcheckScorer][source]#
Initialize scorers and return all of them as deepchecks scorers.
- Parameters
- scorersMapping[str, Union[str, Callable]]
dict of scorers names to scorer sklearn_name/function or a list without a name
- modelBasicModel
used to validate the scorers, and calculate mode_type if None.
- datasetDataset
used to validate the scorers, and calculate mode_type if None.
- model_classes: t.Optional[t.List]
possible classes output for model. None for regression tasks.
- observed_classes: t.Optional[t.List]
observed classes from labels and predictions. None for regression tasks.
- Returns
- ——–
- scorers: t.List[DeepcheckScorer]
A list of initialized DeepcheckScorers.