estimator_checks_generator#
- sklearn.utils.estimator_checks.estimator_checks_generator(estimator, *, legacy: bool = True, expected_failed_checks: dict[str, str] | None = None, mark: Literal['xfail', 'skip', None] = None)[source]#
Iteratively yield all check callables for an estimator.
Added in version 1.6.
- Parameters:
- estimatorestimator object
Estimator instance for which to generate checks.
- legacybool, default=True
Whether to include legacy checks. Over time we remove checks from this category and move them into their specific category.
- expected_failed_checksdict[str, str], default=None
Dictionary of the form {check_name: reason} for checks that are expected to fail.
- mark{“xfail”, “skip”} or None, default=None
Whether to mark the checks that are expected to fail as xfail(
pytest.mark.xfail) or skip. Marking a test as “skip” is done via wrapping the check in a function that raises aSkipTestexception.
- Returns:
- estimator_checks_generatorgenerator
Generator that yields (estimator, check) tuples.