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HistGradientBoostingRegressor — scikit-le...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
GradientBoostingClassifier — scikit-learn...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
make_gaussian_quantiles — scikit-learn 1....
dataset is from Zhu et al [1]. References [ 1 ] Zhu, H. Zou, S. Rosset,...es ( * , mean = None , cov = 1.0 , n_samples = 100 , n_features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
GroupKFold — scikit-learn 1.7.2 documenta...
index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
silhouette_score — scikit-learn 1.7.2 doc...
The best value is 1 and the worst value is -1. Values near 0 indicate...<= n_labels <= n_samples - 1 . This function returns the mean...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html -
MiniBatchDictionaryLearning — scikit-lear...
1 ( U , V ) with || V_k || _2 <= 1 for all 0 <=...heuristics. Added in version 1.1. fit_algorithm {‘lars’, ‘cd’},...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
FeatureUnion — scikit-learn 1.7.2 documen...
svd__n_components = 1 ) . fit_transform ( X ) array([[-1.5 , 3.04], [ 1.5 , 5.72]])...unchanged. Added in version 1.1: Added the option "passthrough"...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
HistGradientBoostingClassifier — scikit-l...
that categorical values of 1.0 and 1 are treated as the same category....integer values: 1: monotonic increase 0: no constraint -1: monotonic...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
PassiveAggressiveClassifier — scikit-lear...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
KernelPCA — scikit-learn 1.7.2 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html