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Faces dataset decompositions — scikit-learn 1.5...
mean ( axis = 1 ) . reshape ( n_samples , - 1 ) print ( "Dataset...n_components = n_components , alpha = 0.1 , max_iter = 100 , batch_size...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Recursive feature elimination — scikit-learn 1....
n_features_to_select = 1 , step = 1 )), ] ) pipe . fit ( X ,...(( len ( digits . images ), - 1 )) y = digits . target pipe =...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
fetch_kddcup99 — scikit-learn 1.5.2 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the kddcup99...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_kddcup99.html -
check_cv — scikit-learn 1.5.2 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
load_files — scikit-learn 1.5.2 documentation
container_folder/ category_1_folder/ file_1.txt file_2.txt … file_42.txt...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
safe_mask — scikit-learn 1.5.2 documentation
csr_matrix >>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
Nearest Centroid Classification — scikit-learn ...
1 ], c = y , cmap = cmap_bold ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
ValidationCurveDisplay — scikit-learn 1.5.2 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Plotting...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
Release Highlights for scikit-learn 1.5 — sciki...
array([[-1.1, 1.1, 1.1], [ 3.9, -1.2, 1.1], [ 0.1, 1.3, 1.1], [-0.1,...[-0.1, -1.4, -1.4], [-4.9, 1.5, -1.5], [ 0.1, 1.6, 1.6]]) Pairwise...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
Sparsity Example: Fitting only features 1 and 2...
1 , - 0.1 ], [ 0.15 , 0.15 ]]), np . array ([[ - 0.1 , 0.15...0.1 , 0.15 , 0.15 ], [ - 0.1 , 0.15 , - 0.1 , 0.15 ]]) . T )...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_3d.html