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r2_score — scikit-learn 1.5.2 documentation
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
PLSCanonical — scikit-learn 1.5.2 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
FeatureHasher — scikit-learn 1.5.2 documentation
'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run' : 5 }]...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
BaseEstimator — scikit-learn 1.5.2 documentation
predict ( X ) array([2, 2, 2]) >>> estimator . set_params...param = 2 ) >>> estimator . get_params () {'param': 2} >>> X =...scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
check_array — scikit-learn 1.5.2 documentation
ndim > 2. ensure_min_samples int, default=1...the input data has effectively 2 dimensions or is originally 1D...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
IncrementalPCA — scikit-learn 1.5.2 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [ 2 , 1 ], [...O(batch_size * n_features ** 2) , but only 2 * batch_size samples remain...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
LassoCV — scikit-learn 1.5.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html -
MinMaxScaler — scikit-learn 1.5.2 documentation
transform ([[ 2 , 2 ]])) [[1.5 0. ]] fit ( X , y...MinMaxScaler >>> data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
Ridge — scikit-learn 1.5.2 documentation
function: || y - Xw ||^ 2_2 + alpha * || w ||^ 2_2 This model solves...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
BayesianGaussianMixture — scikit-learn 1.5.2 do...
2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...>>> bgm . means_ array([[2.49... , 2.29...], [8.45..., 4.52......scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html