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SimpleImputer — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...all strings. Added in version 1.0. See also IterativeImputer Multivariate...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.8....
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also orthogonal_mp Solves...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
locally_linear_embedding — scikit-learn 1.8.0 d...
reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
mutual_info_classif — scikit-learn 1.8.0 docume...
array([0.589, 0.107, 0.196, 0.0968 , 0., 0. , 0. , 0. , 0. , 0.])...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
ConstantKernel — scikit-learn 1.8.0 documentation
constant_value = 1.0 , constant_value_bounds = (1e-05, 100000.0) ) [source]...version 0.18. Parameters : constant_value float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
IterativeImputer — scikit-learn 1.8.0 documenta...
max_iter = 10 , tol = 0.001 , n_nearest_features =...higher, the more verbose. Can be 0, 1, or 2. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html -
RBFSampler — scikit-learn 1.8.0 documentation
[[ 0 , 0 ], [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0...RBFSampler ( * , gamma = 1.0 , n_components = 100 , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
permutation_importance — scikit-learn 1.8.0 doc...
[ 0 , 9 , 9 ],[ 0 , 9 , 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0...X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [ 0 , 9 ,...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
ClassicalMDS — scikit-learn 1.8.0 documentation
fit_transform ( X [: 100 ]) >>> X_emb . shape (100, 2) fit ( X , y...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 On this...scikit-learn.org/stable/modules/generated/sklearn.manifold.ClassicalMDS.html -
explained_variance_score — scikit-learn 1.8.0 d...
y_pred ) 0.957... >>> y_true = [[ 0.5 , 1 ], [ - 1 , 1 ], [ 7 ,...replaced with 1.0 (perfect predictions) or 0.0 (imperfect predictions)...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html