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Selecting the number of clusters with silhouett...
from -1, 1 but in this example all # lie within [-0.1, 1] ax1...set_xlim ([ - 0.1 , 1 ]) # The (n_clusters+1)*10 is for inserting...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
org.seasar.dbflute.maven.plugin.util (DBFlute M...
概要 パッケージ クラス 使用 階層ツリー 非推奨 索引 ヘルプ 前のパッケージ 次のパッケージ フレーム フレームなし すべてのクラス パッケージ org.seasar.dbflute.maven.plugin.util ...dbflute.seasar.org/maven/plugin/apidocs/org/seasar/dbflute/maven/plugin/util/package-summary.html -
非推奨APIのリスト (DBFlute Maven Plugin 1.0.0 API)
概要 パッケージ クラス 使用 階層ツリー 非推奨 索引 ヘルプ 前 次 フレーム フレームなし すべてのクラス 推奨されていないAPI コンテンツ 概要 パッケージ クラス 使用 階層ツリー 非推奨 索引 ヘルプ 前 次 フレーム ...dbflute.seasar.org/maven/plugin/apidocs/deprecated-list.html -
org.seasar.dbflute.maven.plugin.util (DBFlute M...
org.seasar.dbflute.maven.plugin.util クラス LogUtil ResourceFileUtil SystemUtil TableMetaPropertiesUtildbflute.seasar.org/maven/plugin/apidocs/org/seasar/dbflute/maven/plugin/util/package-frame.html -
Principal Component Analysis (PCA) on Iris Data...
figure ( 1 , figsize = ( 8 , 6 )) ax = fig...X_reduced [:, 0 ], X_reduced [:, 1 ], X_reduced [:, 2 ], c = iris...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
One-class SVM with non-linear kernel (RBF) R...
reshape ( - 1 , 1 ), yy . reshape ( - 1 , 1 )], axis = 1 ) DecisionBoundaryDisp...( nu = 0.1 , kernel = "rbf" , gamma = 0.1 ) clf . fit...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Recursive feature elimination with cross-valida...
n_clusters_per_class = 1 , class_sep = 0.8 , random_state...StratifiedKFold min_features_to_select = 1 # Minimum number of features to...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
Plot Ridge coefficients as a function of the re...
Hilbert matrix X = 1.0 / ( np . arange ( 1 , 11 ) + np . arange..."Feature { i + 1 } " for i in range ( X . shape [ 1 ])], loc =...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html -
Pipelining: chaining a PCA and a logistic regre...
arange ( 1 , pca . n_components_ + 1 ), pca . explained_variance_ratio_...( max_iter = 10000 , tol = 0.1 ) pipe = Pipeline ( steps = [(...scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html -
Outlier detection on a real data set — sc...
EllipticEnvelope ( support_fraction = 1.0 , contamination = 0.25 ), "Robust...load_wine ()[ "data" ][:, [ 1 , 2 ]] # two clusters fig , ax...scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html