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adjusted_mutual_info_score — scikit-learn 1.5.2...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) ... 1.0 >>> adjusted_mutual_info_score...e ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) ... 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
class_likelihood_ratios — scikit-learn 1.5.2 do...
1 , 0 , 1 , 0 ], [ 1 , 1 , 0 , 0 , 0 ]) (np.float64(1.5),...probability. LR+ ranges from 1 to infinity. A LR+ of 1 indicates that the...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
これは外せない！と思う2024年10月スタートの深夜アニメランキング！3位「らんま1/2」2位...
らんま1／2 2位 夏目友人帳 漆 1位 ？？？ ⇒ 全てのランキング結果を見たい方はこちら！ 3位は『らんま1／2』！...とみを抑えて1位に選ばれたのは… 1 最も演技力が高いミュージシャンランキング！福山雅治、及川光博を抑えて1位に選ばれたのは…...ranking.goo.ne.jp/column/9899/ -
validation_curve — scikit-learn 1.5.2 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...make_classification ( n_samples = 1_000 , random_state = 0 ) >>> logistic_regression...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
PolynomialFeatures — scikit-learn 1.5.2 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 -
RepeatedKFold — scikit-learn 1.5.2 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 1.5.2 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 -
RBFSampler — scikit-learn 1.5.2 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 -
1.11. Ensembles: Gradient boosting, random fore...
Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...= [[ 1 , 0 ], ... [ 1 , 0 ], ... [ 1 , 0 ], ... [ 0 , 1 ]] >>>...scikit-learn.org/stable/modules/ensemble.html -
LatentDirichletAllocation — scikit-learn 1.5.2 ...
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