get_routing_for_object
- sklearn.utils.metadata_routing.get_routing_for_object(obj=None)[source]
-
Get a
Metadata{Router, Request}instance from the given object.This function returns a
MetadataRouteror aMetadataRequestfrom the given input.This function always returns a copy or a new instance constructed from the input, such that changing the output of this function will not change the original object.
Added in version 1.3.
- Parameters:
-
- objobject
-
-
- If the object provides a
get_metadata_routingmethod, return a copy -
of the output of that method.
- If the object provides a
-
- If the object is already a
-
MetadataRequestor aMetadataRouter, return a copy of that.
-
- Returns an empty
MetadataRequest -
otherwise.
- Returns an empty
-
- Returns:
-
- objMetadataRequest or MetadataRouter
-
A
MetadataRequestor aMetadataRoutertaken or created from the given object.
Examples
>>> from sklearn.datasets import make_classification >>> from sklearn.pipeline import Pipeline >>> from sklearn.preprocessing import StandardScaler >>> from sklearn.linear_model import LogisticRegressionCV >>> from sklearn.utils.metadata_routing import get_routing_for_object >>> X, y = make_classification() >>> pipe = Pipeline( ... [("scaler", StandardScaler()), ("lr_cv", LogisticRegressionCV())] ... ) >>> pipe.fit(X, y) Pipeline(steps=[('scaler', StandardScaler()), ('lr_cv', LogisticRegressionCV())]) >>> type(get_routing_for_object(pipe)) <class 'sklearn.utils._metadata_requests.MetadataRouter'> >>> type(get_routing_for_object(pipe.named_steps.scaler)) <class 'sklearn.utils._metadata_requests.MetadataRequest'> >>> type(get_routing_for_object(pipe.named_steps.lr_cv)) <class 'sklearn.utils._metadata_requests.MetadataRouter'>
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Licensed under the 3-clause BSD License.
https://scikit-learn.org/1.9/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html