sklearn.utils.estimator_checks.parametrize_with_checks

sklearn.utils.estimator_checks.parametrize_with_checks(estimators)[source]

Pytest specific decorator for parametrizing estimator checks.

The id of each check is set to be a pprint version of the estimator and the name of the check with its keyword arguments. This allows to use pytest -k to specify which tests to run:

pytest test_check_estimators.py -k check_estimators_fit_returns_self
Parameters
estimatorslist of estimators instances

Estimators to generated checks for.

Changed in version 0.24: Passing a class was deprecated in version 0.23, and support for classes was removed in 0.24. Pass an instance instead.

Returns
decoratorpytest.mark.parametrize

Examples

>>> from sklearn.utils.estimator_checks import parametrize_with_checks
>>> from sklearn.linear_model import LogisticRegression
>>> from sklearn.tree import DecisionTreeRegressor
>>> @parametrize_with_checks([LogisticRegression(),
...                           DecisionTreeRegressor()])
... def test_sklearn_compatible_estimator(estimator, check):
...     check(estimator)

Examples using sklearn.utils.estimator_checks.parametrize_with_checks