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PredictionErrorDisplay — scikit-learn 1.7.dev0 ...
scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Combine...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray...scikit-learn.org/dev/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
mean_poisson_deviance — scikit-learn 1.7.dev0 d...
with the power parameter power=1 . Read more in the User Guide...mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5...scikit-learn.org/dev/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
PLSCanonical — scikit-learn 1.6.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
make_regression — scikit-learn 1.6.0 documentation
scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...n_informative = 10 , n_targets = 1 , bias = 0.0 , effective_rank...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
silhouette_samples — scikit-learn 1.6.0 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
StackingRegressor — scikit-learn 1.7.dev0 docum...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/dev/modules/generated/sklearn.ensemble.StackingRegressor.html -
1.4. Support Vector Machines — scikit-learn 1.6...
“0 vs 1”, “0 vs 2” , … “0 vs n”, “1 vs 2”, “1 vs 3”, “1 vs n”,...vectors \(v^{0}_1, v^{1}_1\) and \(v^{0}_2, v^{1}_2\) respectively....scikit-learn.org/stable/modules/svm.html -
Ridge — scikit-learn 1.6.0 documentation
Ridge ( alpha = 1.0 , * , fit_intercept = True ,...shape (n_targets,)}, default=1.0 Constant that multiplies the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
plot_release_highlights_1_6_0.py
1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...Release Highlights for scikit-learn 1.6 ========== .. currentmodule::...scikit-learn.org/stable/_downloads/a471e25495d24d0086e798aa9ca44a89/plot_release_highlights_1_6_0.py -
make_moons — scikit-learn 1.6.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html