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2.2. Manifold learning — scikit-learn 1.7.2 doc...
as \(L = D^{-\frac{1}{2}} (D - A) D^{-\frac{1}{2}}\) . Partial...is only artificially high. 2.2.1. Introduction # High-dimensional...scikit-learn.org/stable/modules/manifold.html -
DBFlute : Migration : 0.8.1
1 to 0.8.2} 環境上の注意点 Sql2Entityも一緒に...C#ユーザの方へ 最新バージョンのS2Container-1.3.12と一緒にご利用下さい。 実装上の注意点 http:...dbflute.seasar.org/ja/oldmigration/migrate-081to082.html -
Parallel — scikit-learn 1.7.2 documentation
Added in version 1.3. __call__ ( iterable ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
PolynomialFeatures — scikit-learn 1.7.2 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 -
RBFSampler — scikit-learn 1.7.2 documentation
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...in version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
RepeatedKFold — scikit-learn 1.7.2 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 -
chi2 — scikit-learn 1.7.2 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>> chi2_stats , p_values...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
LatentDirichletAllocation — scikit-learn 1.7.2 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...None, defaults to 1 / n_components . In [1] , this is called...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
TfidfVectorizer — scikit-learn 1.7.2 documentation
ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
GaussianNB — scikit-learn 1.7.2 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> Y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html