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Comparing different clustering algorithms on to...
cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state..., hspace = 0.01 ) plot_num = 1 default_base = { "quantile"...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
Scaling the regularization parameter for SVCs &...
) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
8.2. Real world datasets — scikit-learn 1...
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 -
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 -
Sparse inverse covariance estimation — sc...
RandomState ( 1 ) prec = make_sparse_spd_matrix...): plt . subplot ( 2 , 4 , i + 1 ) plt . imshow ( this_cov , interpolation...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Neighborhood Components Analysis Illustration &...
n_clusters_per_class = 1 , class_sep = 1.0 , random_state = 0 ,...], pt_j [ 0 ]], [ pt_i [ 1 ], pt_j [ 1 ]]) ax . plot ( * line ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Online learning of a dictionary of parts of fac...
- 1 )) buffer . append ( data ) index += 1 if index %...[MiniBatchKMeans] Reassigning 1 cluster centers. Partial fit of...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.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 -
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 -
7.9. Transforming the prediction target (y) ...
1, 1, 1], [0, 0, 1, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 1,...1, 1], [1, 1, 1, 0, 0]]) For more information about multilabel...scikit-learn.org/stable/modules/preprocessing_targets.html