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SVM Tie Breaking Example — scikit-learn 1.6.1 d...
1 ] . min (), X [:, 1 ] . max ()] xs = np...xlim [ 1 ], 1000 ) ys = np . linspace ( ylim [ 0 ], ylim [ 1 ], 1000...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Installing scikit-learn — scikit-learn 1.6.1 do...
Scikit-learn 1.0 supported Python 3.7-3.10. Scikit-learn 1.1, 1.2 and...sphinx-gallery 0.17.1 docs numpydoc 1.2.0 docs, tests Pillow 7.1.2 docs pooch...scikit-learn.org/stable/install.html -
Agglomerative clustering with different metrics...
1 , 1 ]) for l , color , n in zip...figure () plt . axes ([ 0 , 0 , 1 , 1 ]) for l , color in zip ( np...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
Plot the decision boundaries of a VotingClassif...
1 ], [ 0 , 1 ]), [ clf1 , clf2 , clf3...[ 0 ], idx [ 1 ]] . scatter ( X [:, 0 ], X [:, 1 ], c = y , s...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
Post-tuning the decision threshold for cost-sen...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Evaluation of outlier detection estimators — sc...
in pandas 1.5.1 were mapped to np.nan in pandas 2.0.1 X [ "Misc_Feature"...n_neighbors_list ) - 1 ), chance_level_kw = { "linestyle" : ( 0 , ( 1 , 10 ))},...scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html -
Understanding the decision tree structure — sci...
node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...the left child of node i or -1 if leaf node children_right[i]...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
t-SNE: The effect of various perplexity values ...
reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
A demo of the Spectral Biclustering algorithm —...
consensus score: 1.0 The score is between 0 and 1, where 1 corresponds...and adds 1 to each to ensure that the labels start from 1 instead...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html -
Illustration of Gaussian process classification...
kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html