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NuSVR — scikit-learn 1.6.1 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32...(0, 1]. By default 0.5 will be taken. C float, default=1.0 Penalty...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
NearestCentroid — scikit-learn 1.6.1 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
KNNImputer — scikit-learn 1.6.1 documentation
1-D arrays) of X and Y , respectively....is always 0 . Added in version 1.2. Attributes : indicator_ MissingIndicator...scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html -
SpectralEmbedding — scikit-learn 1.6.1 document...
means 1 unless in a joblib.parallel_backend context. -1 means...If None, gamma will be set to 1/n_features. random_state int,...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
LogisticRegressionCV — scikit-learn 1.6.1 docum...
means 1 unless in a joblib.parallel_backend context. -1 means...version 1.5: multi_class was deprecated in version 1.5 and will...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
LogisticRegression — scikit-learn 1.6.1 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights..., C = 1.0 , fit_intercept = True , intercept_scaling = 1 , class_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
SequentialFeatureSelector — scikit-learn 1.6.1 ...
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 -
ElasticNet — scikit-learn 1.6.1 documentation
l1_ratio * || w || _1 + 0.5 * alpha * ( 1 - l1_ratio ) * || w...l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
AffinityPropagation — scikit-learn 1.6.1 docume...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2.... labels_ array([0, 0, 0, 1, 1, 1]) >>> clustering . predict...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
PolynomialCountSketch — scikit-learn 1.6.1 docu...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...Array with random entries in {+1, -1}, used to represent the 2-wise...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html