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RidgeCV — scikit-learn 1.5.2 documentation
1, 1.0, 10.0) , * , fit_intercept...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
Isomap — scikit-learn 1.5.2 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 -
BaseEstimator — scikit-learn 1.6.dev0 documenta...
array ([ 1 , 0 , 1 ]) >>> estimator . fit ( X ,...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/dev/modules/generated/sklearn.base.BaseEstimator.html -
Normalizer — scikit-learn 1.5.2 documentation
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
DecisionTreeRegressor — scikit-learn 1.5.2 docu...
1: monotonic increase 0: no constraint -1: monotonic...min_samples_split = 2 , min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
FixedThresholdClassifier — scikit-learn 1.5.2 d...
y_true is in {-1, 1} or {0, 1} , pos_label is set to 1, otherwise...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
SparsePCA — scikit-learn 1.5.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...n_components = None , * , alpha = 1 , ridge_alpha = 0.01 , max_iter...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
MultiOutputRegressor — scikit-learn 1.5.2 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 -
GraphicalLassoCV — scikit-learn 1.5.2 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 -
MultinomialNB — scikit-learn 1.5.2 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