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robust_scale — scikit-learn 1.8.0 documen...
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> robust_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html -
ridge_regression — scikit-learn 1.8.0 documenta...
0 ] - 1.0 * X [:, 1 ] + 0.1 * rng . standard_normal...random_state = 0 ) >>> coef array([ 1.97, -1., -2.69e-3, -9.27e-4 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html -
RocCurveDisplay — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1 , 0.4 , 0.35...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
Image denoising using dictionary learning — sci...
raccoon_face [ 1 :: 4 , :: 4 ] + raccoon_face [:: 4 , 1 :: 4 ] + raccoon_face...raccoon_face [ 1 :: 4 , 1 :: 4 ] ) raccoon_face /= 4.0 height...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
r_regression — scikit-learn 1.8.0 documentation
Added in version 1.1. Returns : correlation_coefficient...User Guide . Added in version 1.0. Parameters : X {array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html -
learning_curve — scikit-learn 1.8.0 documentation
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
PLSRegression — scikit-learn 1.8.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
SelectFromModel — scikit-learn 1.8.0 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
check_symmetric — scikit-learn 1.8.0 docu...
1 , 2 ], [ 1 , 0 , 1 ], [ 2 , 1 , 0 ]]) >>>...symmetric_array ) array([[0, 1, 2], [1, 0, 1], [2, 1, 0]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_symmetric.html -
AdaBoostRegressor — scikit-learn 1.8.0 document...
the range [1, inf) . learning_rate float, default=1.0 Weight applied...n_estimators = 50 , learning_rate = 1.0 , loss = 'linear' , random_state...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html