Tags#

classsklearn.utils.Tags(estimator_type:str|None,target_tags:~sklearn.utils._tags.TargetTags,transformer_tags:~sklearn.utils._tags.TransformerTags|None=None,classifier_tags:~sklearn.utils._tags.ClassifierTags|None=None,regressor_tags:~sklearn.utils._tags.RegressorTags|None=None,array_api_support:bool=False,no_validation:bool=False,non_deterministic:bool=False,requires_fit:bool=True,_skip_test:bool=False,input_tags:~sklearn.utils._tags.InputTags=<factory>)[source]#

Tags for the estimator.

SeeEstimator Tags for more information.

Parameters:

estimator_typestr or None

The type of the estimator. Can be one of:- “classifier”- “regressor”- “transformer”- “clusterer”- “outlier_detector”- “density_estimator”

target_tagsTargetTags

The target(y) tags.

transformer_tagsTransformerTags or None

The transformer tags.

classifier_tagsClassifierTags or None

The classifier tags.

regressor_tagsRegressorTags or None

The regressor tags.

array_api_supportbool, default=False

Whether the estimator supports Array API compatible inputs.

no_validationbool, default=False

Whether the estimator skips input-validation. This is only meant forstateless and dummy transformers!

non_deterministicbool, default=False

Whether the estimator is not deterministic given a fixedrandom_state.

requires_fitbool, default=True

Whether the estimator requires to be fitted before calling one oftransform,predict,predict_proba, ordecision_function.

_skip_testbool, default=False

Whether to skip common tests entirely. Don’t use this unlessyou have avery good reason.

input_tagsInputTags

The input data(X) tags.

Gallery examples#

Release Highlights for scikit-learn 1.6

Release Highlights for scikit-learn 1.6