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ledoit_wolf — scikit-learn 1.7.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
load_wine — scikit-learn 1.7.2 documentation
1, 2]) >>> list ( data . target_names...[np.str_('class_0'), np.str_('class_1'), np.str_('class_2')] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
Label Propagation circles: Learning a complex s...
X [ labels == - 1 , 0 ], X [ labels == - 1 , 1 ], color = "darkorange"...circle), 1 (belonging to the inner circle), and -1 (unknown)....scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
5.2. Permutation feature importance — scikit-le...
as: \[i_j = s - \frac{1}{K} \sum_{k=1}^{K} s_{k,j}\] 5.2.2. Relation...degradation of the model’s score [ 1 ] . By breaking the relationship...scikit-learn.org/stable/modules/permutation_importance.html -
8.3. Generated datasets — scikit-learn 1.7.2 do...
1.1. Single label # make_blobs creates..."n_informative" : 1 , "n_clusters_per_class" : 1 , "n_classes" :...scikit-learn.org/stable/datasets/sample_generators.html -
Roadmap — scikit-learn 1.7.2 documentation
cross-version safety from version 1.0. Note: Gael and Olivier think...scikit-learn.org/stable/roadmap.html -
Marvel Reference for 2.x and 1.x | Elastic
x and 1.x: 2.1 Marvel Reference for 2.x and 1.x: 2.0 Marvel...Reference for 2.x and 1.x Marvel Reference for 2.x and 1.x: 2.4 Marvel...www.elastic.co/guide/en/marvel/index.html -
Release History — scikit-learn 1.7.2 documentation
Version 1.2.0 Version 1.1 Version 1.1.3 Version 1.1.2 Version 1.1.1...1.1.1 Version 1.1.0 Version 1.0 Version 1.0.2 Version 1.0.1 Version...scikit-learn.org/stable/whats_new.html -
3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...>>> y = [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/cross_validation.html -
Feature discretization — scikit-learn 1.7.2 doc...
logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html