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Agglomerative clustering with different metrics...
1 , 1 ]) for l , color , n in zip...figure () plt . axes ([ 0 , 0 , 1 , 1 ]) for l , color in zip ( np...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
Plot individual and voting regression predictio...
random_state = 1 ) reg2 = RandomForestRegresso ( random_state = 1 ) reg3...state=1)), ('rf', RandomForestRegresso(random_state=1)), ('lr',...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
Plotting Cross-Validated Predictions — scikit-l...
ax = axs [ 1 ], random_state = 0 , ) axs [ 1 ] . set_title...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
Multi-class AdaBoosted Decision Trees — scikit-...
as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...of trees" : range ( 1 , n_estimators + 1 ), "AdaBoost" : [ m...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
SVM: Separating hyperplane for unbalanced class...
0 ]] clusters_std = [ 1.5 , 0.5 ] X , y = make_blobs (...SVC ( kernel = "linear" , C = 1.0 ) clf . fit ( X , y ) # fit...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
SVM: Maximum margin separating hyperplane — sci...
levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
Evaluation of outlier detection estimators — sc...
in pandas 1.5.1 were mapped to np.nan in pandas 2.0.1 X [ "Misc_Feature"...n_neighbors_list ) - 1 ), chance_level_kw = { "linestyle" : ( 0 , ( 1 , 10 ))},...scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
covariance matrix (AR(1) process) r = 0.1 real_cov = toeplitz (...plot MSE plt . subplot ( 2 , 1 , 1 ) plt . errorbar ( n_samples_range...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
1 , 1 + index ) for i , ( mean , covar...random . normal ( 0 , 0.1 ) X [ i , 1 ] = 3.0 * ( np . sin ( x...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Version 0.16 — scikit-learn 1.8.0 documentation
empty data (less than 1 sample or less than 1 feature for 2D input)....version Version 0.16 # Version 0.16.1 # April 14, 2015 Changelog # Bug...scikit-learn.org/stable/whats_new/v0.16.html