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check_consistent_length — scikit-learn 1.7.2 do...
check_consistent_length >>> a = [ 1 , 2 , 3 ] >>> b = [ 2 , 3 , 4...scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.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 -
Post-tuning the decision threshold for cost-sen...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06])}, scoring='neg_log_loss')...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.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 -
safe_sparse_dot — scikit-learn 1.7.2 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 -
Common pitfalls in the interpretation of coeffi...
1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04,...1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04,...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
t-SNE: The effect of various perplexity values ...
reshape ( - 1 , 1 ), yy . ravel () . reshape ( - 1 , 1 ), ] ) color...perplexities ): ax = subplots [ 1 ][ i + 1 ] t0 = time () tsne = manifold...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
estimator_checks_generator — scikit-learn 1.7.2...
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
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 -
Label Propagation digits: Demonstrating perform...
support 0 1.00 1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92...0.92 28 3 1.00 0.80 0.89 35 4 0.92 1.00 0.96 24 5 0.74 0.94 0.83...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html