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2.6. Covariance estimation — scikit-learn 1.8.0...
1. Empirical covariance # The covariance...2.6.2. Shrunk Covariance # 2.6.2.1. Basic shrinkage # Despite being...scikit-learn.org/stable/modules/covariance.html -
Permutation Importance vs Random Forest Feature...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Glossary of Common Terms and API Elements — sci...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}] . The class_weight parameter...scikit-learn.org/stable/glossary.html -
Principal Component Regression vs Partial Least...
axes [ 1 ] . scatter ( X . dot ( pca . components_ [ 1 ]), y ,.... scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples"...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Imputing missing values with variants of Iterat...
1e-1 , 1e-1 , 1e-2 ) for ( name , impute_estimator..."IterativeImputer" ], axis = 1 , ) # plot california housing...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.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 -
Post-hoc tuning the cut-off point of decision f...
deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html -
Density Estimation for a Gaussian mixture — sci...
norm = LogNorm ( vmin = 1.0 , vmax = 1000.0 ), levels =...X_train [:, 0 ], X_train [:, 1 ], 0.8 ) plt . title ( "Negative...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
Comparison of the K-Means and MiniBatchKMeans c...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] n_clusters...ax = fig . add_subplot ( 1 , 3 , 1 ) for k , col in zip ( range...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
Pipelining: chaining a PCA and a logistic regre...
arange ( 1 , pca . n_components_ + 1 ), pca . explained_variance_ratio_...( max_iter = 10000 , tol = 0.1 ) pipe = Pipeline ( steps = [(...scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html