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RationalQuadratic — scikit-learn 1.7.2 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
SelectFromModel — scikit-learn 1.7.2 documentation
[ - 2.79 , - 0.02 , - 0.85 ], ... [ - 1.34 , - 0.48 , - 2.55 ],...the estimator is of dimension 2. max_features int, callable, default=None...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.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 -
mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
validation_curve — scikit-learn 1.7.2 documenta...
str can be an expression like ‘2*n_jobs’. verbose int, default=0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
hamming_loss — scikit-learn 1.7.2 documentation
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...[ 1 , 1 ]]), np . zeros (( 2 , 2 ))) 0.75 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
kmeans_plusplus — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...n_clusters = 2 , random_state = 0 ) >>> centers array([[10, 2], [ 1,...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.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 -
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 -
HalvingGridSearchCV — scikit-learn 1.7.2 docume...
to a small value: n_splits * 2 when resource='n_samples' for...problem n_classes * n_splits * 2 when resource='n_samples' for...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html