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SparseCoder — scikit-learn 1.7.1 documentation
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
HistGradientBoostingClassifier — scikit-learn 1...
that categorical values of 1.0 and 1 are treated as the same category....version 1.4: Added "from_dtype" option. Changed in version 1.6: The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
NMF — scikit-learn 1.7.1 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio) * n\_features...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
LabelEncoder — scikit-learn 1.7.1 documentation
classes_ array([1, 2, 6]) >>> le . transform ([ 1 , 1 , 2 , 6 ]) array([0,...array([0, 0, 1, 2]...) >>> le . inverse_transform ([ 0 , 0 , 1 , 2 ])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
SequentialFeatureSelector — scikit-learn 1.7.1 ...
version 1.1: The option "auto" was added in version 1.1. Changed...version 1.3: The default changed from "warn" to "auto" in 1.3. tol...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
ClassifierMixin — scikit-learn 1.7.1 documentation
predict ( X ) array([1, 1, 1]) >>> estimator . score ( X...MyEstimator ( param = 1 ) >>> X = np . array ([[ 1 , 2 ], [ 2 , 3 ],...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
PassiveAggressiveRegressor — scikit-learn 1.7.1...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
KernelPCA — scikit-learn 1.7.1 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
CCA — scikit-learn 1.7.1 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html