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RidgeCV — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination ( \(R^2\) ) otherwise. cv int, cross-validation...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
Version 1.2 — scikit-learn 1.7.2 documentation
2.2 # March 2023 Changelog # sklearn.base...GitHub Choose version Version 1.2 # For a short description of the...scikit-learn.org/stable/whats_new/v1.2.html -
lars_path — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...copy_X = True , eps = np.float64(2.220446049250313e-16) , copy_Gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
HistGradientBoostingRegressor — scikit-learn 1....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
DecisionTreeRegressor — scikit-learn 1.7.2 docu...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
RobustScaler — scikit-learn 1.7.2 documentation
- 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...transform ( X ) array([[ 0. , -2. , 0. ], [-1. , 0. , 0.4], [ 1....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
FactorAnalysis — scikit-learn 1.7.2 documentation
default=1e-2 Stopping tolerance for log-likelihood...Machine Learning, Chapter 12.2.4. Examples >>> from sklearn.datasets...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html -
MLPRegressor — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 , epsilon = 1e-08 , n_iter_no_change...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
HDBSCAN — scikit-learn 1.7.2 documentation
inf) are given the label -2. Samples with missing data are...clusters. That is to say, the -1, -2, -3 labels for the outlier clusters...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
precision_score — scikit-learn 1.7.2 documentation
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0 , 0...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html