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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 -
MultiOutputRegressor — scikit-learn 1.6.1 docum...
means 1 unless in a joblib.parallel_backend context. -1 means...train or predict, using n_jobs > 1 can result in slower performance...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
MultinomialNB — scikit-learn 1.6.1 documentation
Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
PLSCanonical — scikit-learn 1.6.1 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
PolynomialFeatures — scikit-learn 1.6.1 documen...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html