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sklearn.compose.TransformedTargetRegressor — sc...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
sklearn.impute.KNNImputer — scikit-learn 1.4.2 ...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html -
sklearn.linear_model.OrthogonalMatchingPursuitC...
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
sklearn.multioutput.MultiOutputRegressor — scik...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
sklearn.decomposition.MiniBatchSparsePCA — scik...
n_features) Test data to be transformed, must...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html -
sklearn.linear_model.LassoLarsIC — scikit-learn...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
sklearn.feature_selection.SelectPercentile — sc...
based on a false positive rate test. SelectFdr Select features based...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
sklearn.ensemble.StackingRegressor — scikit-lea...
train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.3... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
sklearn.covariance.EmpiricalCovariance — scikit...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
sklearn.base.RegressorMixin — scikit-learn 1.4....
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html