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Gaussian Mixture Model Selection — scikit-learn...
1 ], [ 1.7 , 0.4 ]]) component_1 = np . dot ( np...scatter ( component_1 [:, 0 ], component_1 [:, 1 ], s = 0.8 ) plt...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
Scaling the regularization parameter for SVCs —...
7 ) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...0.8 ) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
Sparse coding with a precomputed dictionary — s...
subplot ( 1 , 2 , subplot + 1 ) plt . title ( "Sparse...transform ( y . reshape ( 1 , - 1 )) density = len ( np . flatnonzero...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
Lasso, Lasso-LARS, and Elastic Net paths — scik...
legend (( l1 [ - 1 ], l2 [ - 1 ]), ( "Lasso" , "LARS" ),...plt . legend (( l1 [ - 1 ], l2 [ - 1 ]), ( "Lasso" , "Elastic-Net"...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html -
Multi-dimensional scaling — scikit-learn 1.6.0 ...
figure ( 1 ) ax = plt . axes ([ 0.0 , 0.0 , 1.0 , 1.0 ]) s =...random_state = seed , n_jobs = 1 , n_init = 1 , ) npos = nmds . fit_transform...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Neighborhood Components Analysis Illustration —...
n_clusters_per_class = 1 , class_sep = 1.0 , random_state = 0 ,...], pt_j [ 0 ]], [ pt_i [ 1 ], pt_j [ 1 ]]) ax . plot ( * line ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
inplace_csr_row_normalize_l2 — scikit-learn 1.6...
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... -
Java6,7のセクション1切り出し | DBFlute
7のセクション1切り出し 概要 DBFluteクライアントの作成 セクション1 に戻る 概要 DBFluteハンズオン、セクション1の...ンが削除し切れてないだけです) セクション1 に戻る さて、次のセクション1へ戻りましょう ハンズオン セクション 01...dbflute.seasar.org/ja/tutorial/handson/java67/sec1java67.html -
SVM-Anova: SVM with univariate feature selectio...
score_stds = list () percentiles = ( 1 , 3 , 6 , 10 , 15 , 20 , 30 ,...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Nested versus non-nested cross-validation — sci...
= { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html