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PolynomialFeatures — scikit-learn 1.6.0 documen...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
ShrunkCovariance — scikit-learn 1.6.0 documenta...
1 ) [source] # Covariance estimator...computation. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
移行 1.0.2 to 1.0.3 | DBFlute
SiteMap | Author's Blog 移行 1.0.2 to 1.0.3 お約束の注意点 環境上の注意点 Inne...dbflute.seasar.org/ja/environment/upgrade/migration/migrate102to103.html -
移行 1.0.5A to 1.0.5B | DBFlute
SiteMap | Author's Blog 移行 1.0.5A to 1.0.5B お約束の注意点 環境上の注意点 実装上の注意点...dbflute.seasar.org/ja/environment/upgrade/migration/migrate105Ato105B.html -
移行 1.0.4H to 1.0.4J | DBFlute
SiteMap | Author's Blog 移行 1.0.4H to 1.0.4J お約束の注意点 環境上の注意点 ソースコードのデフォルト改行コードをLFに...dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Hto104J.html -
移行 1.0.3 to 1.0.4A | DBFlute
SiteMap | Author's Blog 移行 1.0.3 to 1.0.4A お約束の注意点 環境上の注意点 Rep...dbflute.seasar.org/ja/environment/upgrade/migration/migrate103to104A.html -
RepeatedKFold — scikit-learn 1.6.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
1.5. Stochastic Gradient Descent — scikit-learn...
[ 1. , 1. ]] >>> y = [ 0 , 1 ] >>> clf = SGDClassifier...\Vert^2 + b\nu + \frac{1}{n} \sum_{i=1}^n \max(0, 1 - (\langle w, x_i...scikit-learn.org/stable/modules/sgd.html -
移行 1.0.4C to 1.0.4D | DBFlute
SiteMap | Author's Blog 移行 1.0.4C to 1.0.4D お約束の注意点 環境上の注意点 DBコ...dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Cto104D.html -
OneHotEncoder — scikit-learn 1.7.dev0 documenta...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...'Female' , 1 ], [ 'Male' , 4 ]]) . toarray () array([[1., 0., 1., 0.,...scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html