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RepeatedKFold — scikit-learn 1.7.2 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
RegressorMixin — scikit-learn 1.7.2 documentation
2 ], [ 2 , 3 ], [ 3 , 4 ]]) >>> y =...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
PolynomialFeatures — scikit-learn 1.7.2 documen...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
MultiTaskLasso — scikit-learn 1.7.2 documentation
2 ], [ 2 , 4 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 3 ]]) ...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
TweedieRegressor — scikit-learn 1.7.2 documenta...
2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3 ]] >>> y = [ 2 , 3.5...determination R^2. R^2 uses squared error and D^2 uses the deviance...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
GammaRegressor — scikit-learn 1.7.2 documentation
determination R^2. R^2 uses squared error and D^2 uses the deviance...GammaRegressor () >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
StratifiedKFold — scikit-learn 1.7.2 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...n_splits = 2 ) >>> skf . get_n_splits ( X , y ) 2 >>> print (...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
HuberRegressor — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...penalty is equal to alpha * ||w||^2 . Must be in the range [0, inf)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
AdaBoostRegressor — scikit-learn 1.7.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...algorithm known as AdaBoost.R2 [2]. Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
PCA — scikit-learn 1.7.2 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> pca = PCA ( n_components = 2 ) >>> pca . fit (...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html