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KFold — scikit-learn 1.8.0 documentation
3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
BayesianGaussianMixture — scikit-learn 1....
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
KernelRidge — scikit-learn 1.8.0 document...
KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...= None , degree = 3 , coef0 = 1 , kernel_params = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
auc — scikit-learn 1.8.0 documentation
array ([ 1 , 1 , 2 , 2 ]) >>> y_score...y_score = np . array ([ 0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
dict_learning_online — scikit-learn 1.8.0...
1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...heuristics. Added in version 1.1. return_code bool, default=True...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
dcg_score — scikit-learn 1.8.0 documentation
asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...to have a score between 0 and 1. References Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
移行 1.0.3 to 1.0.4A | DBFlute
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移行 1.0.4H to 1.0.4J | DBFlute
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移行 1.0.2 to 1.0.3 | DBFlute
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cohen_kappa_score — scikit-learn 1.8.0 do...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html