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MetaEstimatorMixin — scikit-learn 1.7.0 documen...
Changed in version 1.6: The _required_parameters is...scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
d2_log_loss_score — scikit-learn 1.7.0 document...
Best possible score is 1.0 and it can be negative (because...User Guide . Added in version 1.5. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Label Propagation digits: Active learning — sci...
support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 28...support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 27...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
safe_sparse_dot — scikit-learn 1.7.0 documentation
safe_sparse_dot >>> X = csr_matrix ([[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.safe_sparse_dot.html -
estimator_checks_generator — scikit-learn 1.7.0...
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
inplace_swap_column — scikit-learn 1.7.0 docume...
1 ) >>> csr . todense () matrix([[0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
Linear and Quadratic Discriminant Analysis with...
0) and (1, 1) . Each blob is assigned a specific...cov_class_2 + np . array ([ 1 , 1 ]), ] ) y = np . concatenate...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html -
8.3. Generated datasets — scikit-learn 1.7.0 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 -
Robust covariance estimation and Mahalanobis di...
where feature 1 has a standard deviation equal to 1 and feature...np . arange ( 1 , n_features ), np . arange ( 1 , n_features )]...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
Compare the effect of different scalers on data...
cutoffs_X1 [ 1 ]], axis = 1 ) plot_distribution ( axarr [ 1 ], X [ non_outliers_mask...left , width = 0.1 , 0.22 bottom , height = 0.1 , 0.7 bottom_h...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html