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type_of_target — scikit-learn 1.5.2 documentation
2.0 ]) 'binary' >>> type_of_target ([ 1 , 0 , 2 ]) 'multiclass'...> 1. ‘binary’: y contains <= 2 discrete values and is 1d or a...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
LeaveOneGroupOut — scikit-learn 1.5.2 documenta...
2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1 , 2 , 2 ]) >>>...Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1], group=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
SparsePCA — scikit-learn 1.5.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
移行 0.9.2 to 0.9.3 | DBFlute
dbflute.seasar.org/ja/environment/upgrade/migration/migrate0920to0930.html -
MultiTaskElasticNet — scikit-learn 1.5.2 docume...
[ 2 , 2 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Multi...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
MultiTaskElasticNetCV — scikit-learn 1.5.2 docu...
[ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Mul...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
d2_log_loss_score — scikit-learn 1.5.2 document...
Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Wikipedia principal eigenvector — scikit-learn ...
0 ])] = short_name ( split [ 2 ]) if l % 1000000 == 0 : print...index_map , short_name ( split [ 2 ])) links . append (( i , j ))...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
as_float_array — scikit-learn 1.5.2 documentation
2 , 2 ], dtype = np . int64 ) >>>...array ) array([0., 0., 1., 2., 2.]) On this page Show Source...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
Gaussian Mixture Model Ellipsoids — scikit-lear...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...n_samples , 2 ), C ), 0.7 * np . random . randn ( n_samples , 2 ) + np...scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html