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check_cv — scikit-learn 1.8.0 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
ClassifierMixin — scikit-learn 1.8.0 documentation
predict ( X ) array([1, 1, 1]) >>> estimator . score ( X...MyEstimator ( param = 1 ) >>> X = np . array ([[ 1 , 2 ], [ 2 , 3 ],...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
MLPClassifier — scikit-learn 1.8.0 documentation
:]) array([1, 0, 1, 0, 1]) >>> clf . score ( X_test...sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
TweedieRegressor — scikit-learn 1.8.0 documenta...
float64(1.600) >>> clf . predict ([[ 1 , 1 ], [ 3 , 4 ]])...power < 1 , no distribution exists. alpha float, default=1 Constant...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
d2_tweedie_score — scikit-learn 1.8.0 documenta...
1 , 2.5 , 7 ] >>> y_pred = [ 1 , 1 , 5 , 3.5 ] >>>...explained. Best possible score is 1.0 and it can be negative (because...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
OrdinalEncoder — scikit-learn 1.8.0 documentation
inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
PowerTransformer — scikit-learn 1.8.0 documenta...
data )) [[-1.316 -0.707] [ 0.209 -0.707] [ 1.106 1.414]] fit (...= ( X * lambda_ + 1 ) ** ( 1 / lambda_ ) - 1 elif X < 0 and lambda_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
StratifiedShuffleSplit — scikit-learn 1.8.0 doc...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
make_biclusters — scikit-learn 1.8.0 documentation
shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Dhillon, I. S. (2001, August)....scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
explained_variance_score — scikit-learn 1.8.0 d...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html