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SGD: Maximum margin separating hyperplane — sci...
centers = 2 , random_state = 0 , cluster_std...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
APM Server version 6.2 | APM Server Reference [...
2.3 APM Server version 6.2.2 APM Server version 6.2.1 APM...Server version 6.2 View commits APM Server version 6.2.4 APM Server...www.elastic.co/guide/en/apm/server/current/release-notes-6.2.html -
validation_curve — scikit-learn 1.7.2 documenta...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Plot the decision surfaces of ensembles of tree...
2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html -
SpectralClustering — scikit-learn 1.7.2 documen...
( - dist_matrix ** 2 / ( 2. * delta ** 2 )) where delta is a...normalized graph cuts [1] , [2] . When calling fit , an affinity...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
Various Agglomerative Clustering on a 2D embedd...
SpectralEmbedding ( n_components = 2 ) . fit_transform ( X ) print...scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html -
BayesianGaussianMixture — scikit-learn 1.7.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...) >>> bgm . means_ array([[2.49 , 2.29], [8.45, 4.52 ]]) >>> bgm...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
ARDRegression — scikit-learn 1.7.2 documentation
[ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression() >>>...1e-06 , alpha_2 = 1e-06 , lambda_1 = 1e-06 , lambda_2 = 1e-06 , compute_score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
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2.2 リリース 2017-06-30 Fess 11.2.1 リリース 2017-06-15...2016-11-07 Fess 10.2.2 リリース 2016-10-02 Fess 10.2.1 リリース 2016-08-30...fess.codelibs.org/ja/news.html -
Comparison of LDA and PCA 2D projection of Iris...
the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html