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LearningCurveDisplay — scikit-learn 1.6.1 docum...
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
TransformerMixin — scikit-learn 1.6.1 documenta...
fit_transform ( X ) array([1, 1, 1]) fit_transform ( X , y = None...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
MDS — scikit-learn 1.6.1 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
OAS — scikit-learn 1.6.1 documentation
precision_ array([[ 1.7833..., -1.2431... ], [-1.2431..., 3.3889...]])...the estimator. References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
1.10. Decision Trees — scikit-learn 1.6.1 docum...
1 , 2 , 3 ]) . reshape ( - 1 , 1 ) >>> y = [ 0 , 1 , 1 , 1.... nan , - 1 , np . nan , 1 ]) . reshape ( - 1 , 1 ) >>> y = [...scikit-learn.org/stable/modules/tree.html -
Isomap — scikit-learn 1.6.1 documentation
Added in version 1.1. n_components int, default=2...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.Isomap.html -
1.6. Nearest Neighbors — scikit-learn 1.6.1 doc...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...scikit-learn.org/stable/modules/neighbors.html -
TransformedTargetRegressor — scikit-learn 1.6.1...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...all strings. Added in version 1.0. See also sklearn.preproces...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
GraphicalLassoCV — scikit-learn 1.6.1 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>> np...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
BaseEstimator — scikit-learn 1.6.1 documentation
array ([ 1 , 0 , 1 ]) >>> estimator . fit ( X ,...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html