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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 -
Principal Component Regression vs Partial Least...
axes [ 1 ] . scatter ( X . dot ( pca . components_ [ 1 ]), y ,.... scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples"...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Inductive Clustering — scikit-learn 1.7.0 docum...
cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
sort_graph_by_row_values — scikit-learn 1.7.0 d...
1. ], ... [ 3. , 0. , 2. ], ... [ 1. , 2. , 0. ]])...>>> X . data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort_graph_by_row_values...scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html -
Receiver Operating Characteristic (ROC) with cr...
axis = 0 ) mean_tpr [ - 1 ] = 1.0 mean_auc = auc ( mean_fpr...“versicolor” class ( class_id=1 ) is regarded as the positive...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
inplace_csr_row_normalize_l1 — scikit-learn 1.7...
1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
Robust linear model estimation using RANSAC — s...
n_features = 1 , n_informative = 1 , noise = 10 , coef...normal ( size = ( n_outliers , 1 )) y [: n_outliers ] = - 3 + 10...scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
get_config — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version get_config # sklearn. get_config ( ) [source] # Retri...scikit-learn.org/stable/modules/generated/sklearn.get_config.html -
Semi Supervised Classification — scikit-learn 1...
Examples concerning the sklearn.semi_supervised module. Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset Effect of varying threshold for self-training Label Propagati...scikit-learn.org/stable/auto_examples/semi_supervised/index.html -
sklearn.neighbors — scikit-learn 1.7.0 document...
The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.scikit-learn.org/stable/api/sklearn.neighbors.html