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brier_score_loss — scikit-learn 1.7.2 documenta...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
PowerTransformer — scikit-learn 1.7.2 documenta...
2 ], [ 3 , 2 ], [ 4 , 5 ]] >>> print...0 and lambda_ != 2 : X_original = 1 - ( - ( 2 - lambda_ ) * X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
ElasticNetCV — scikit-learn 1.7.2 documentation
objective is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
mean_pinball_loss — scikit-learn 1.7.2 document...
2 , 3 ] >>> mean_pinball_loss ( y_true , [ 0 , 2 , 3 ],...mean_pinball_loss ( y_true , [ 1 , 2 , 4 ], alpha = 0.1 ) 0.3... >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
CCA — scikit-learn 1.7.2 documentation
[ 2. , 2. , 2. ], [ 3. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
VotingRegressor — scikit-learn 1.7.2 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...X = np . array ([[ 1 , 1 ], [ 2 , 4 ], [ 3 , 9 ], [ 4 , 16 ],...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
ValidationCurveDisplay — scikit-learn 1.7.2 doc...
str can be an expression like ‘2*n_jobs’. verbose int, default=0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
f_classif — scikit-learn 1.7.2 documentation
n_informative = 2 , n_clusters_per_class = 1 , ......, y ) >>> f_statistic array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
NMF — scikit-learn 1.7.2 documentation
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
RBF — scikit-learn 1.7.2 documentation
x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html