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power_transform — scikit-learn 1.8.0 documentation
'box-cox' )) [[-1.332 -0.707] [ 0.256 -0.707] [ 1.076 1.414]] Warning...Available methods are: ‘yeo-johnson’ [1] , works with positive and negative...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
RidgeCV — scikit-learn 1.8.0 documentation
1, 1.0, 10.0) , * , fit_intercept...shape (n_alphas,), default=(0.1, 1.0, 10.0) Array of alpha values...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
calinski_harabasz_score — scikit-learn 1.8.0 do...
References [ 1 ] T. Calinski and J. Harabasz,...scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html -
mean_poisson_deviance — scikit-learn 1.8.0 docu...
with the power parameter power=1 . Read more in the User Guide...mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
LinearSVR — scikit-learn 1.8.0 documentation
1] , where 1 corresponds to the intercept....version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
check_increasing — scikit-learn 1.8.0 documenta...
y = [ 1 , 2 , 3 , 4 , 5 ], [ 2 , 4 , 6...scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.8....
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also orthogonal_mp Solves...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
extract_patches_2d — scikit-learn 1.8.0 documen...
max_patches is a float between 0 and 1, it is taken to be a proportion...patches: >>> print ( patches [ 1 ]) [[[174 201 231] [174 201 231]]...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.extract_patches_2d.html -
Normalizer — scikit-learn 1.8.0 documentation
1 , 2 , 2 ], ... [ 1 , 3 , 9 , 3 ], ... [...0.4, 0.4], [0.1, 0.3, 0.9, 0.3], [0.5, 0.7, 0.5, 0.1]]) fit ( X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
DecisionTreeRegressor — scikit-learn 1.8.0 docu...
1: monotonic increase 0: no constraint -1: monotonic...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 Decision...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html