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Adjustment for chance in clustering performance...
mean ( axis = 1 ), scores . std ( axis = 1 ), alpha = 0.8 ,...scores , axis = 1 ), scores . std ( axis = 1 ), alpha = 0.8 ,...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
8.2. Real world datasets — scikit-learn 1.8.0 d...
1, 1, 1, 0, 1, 1, 0, 0, 0]) Converting...target [: 10 ]) [5, 6, 3, 1, 0, 1, 3, 4, 3, 0] The second loader...scikit-learn.org/stable/datasets/real_world.html -
Comparison of LDA and PCA 2D projection of Iris...
1 , 2 ], target_names ): plt . scatter...y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha = 0.8...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Lasso model selection via information criteria ...
lasso_lars_ic [ - 1 ] . criterion_ , n_samples , lasso_lars_ic [ - 1 ] . noise_variance_...lasso_lars_ic [ - 1 ] . alphas_ == lasso_lars_ic [ - 1 ] . alpha_ )[...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html -
Dimensionality Reduction with Neighborhood Comp...
subplot(1, 3, i + 1, aspect=1) # Fit the method's...X_embedded [:, 0 ], X_embedded [:, 1 ], c = y , s = 30 , cmap = "Set1"...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
Comparing Random Forests and Histogram Gradient...
row = 1 , col = 1 ) fig . add_trace ( line_trace , row = 1 , col...row = 1 , col = 2 ) fig . add_trace ( line_trace , row = 1 , col...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
Illustration of Gaussian process classification...
kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
L1 Penalty and Sparsity in Logistic Regression ...
axes_row ) in enumerate ( zip (( 1 , 0.1 , 0.01 ), axes )): # Increase...of the models for varying C. C=1.00 Sparsity with L1 penalty: 4.69%...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
HuberRegressor vs Ridge on dataset with strong ...
) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
Bug triaging and issue curation — scikit-learn ...
issues # The following workflow [ 1 ] is a good way to approach issue...scikit-learn.org/stable/developers/bug_triaging.html