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Custom refit strategy of a grid search with cro...
target == 8 print ( f "The number of images is { X ....filtered_cv_results [ "params" ], ): print ( f "precision: { mean_precision :...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Image denoising using dictionary learning — sci...
axis = 0 ) print ( f " { data . shape [ 0 ] } patches...components_ dt = time () - t0 print ( f " { dico . n_iter_ } iterations...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Gaussian processes on discrete data structures ...
baseline_similarity_bounds ) def _f ( self , s1 , s2 ): """ kernel...return ( np . array ([[ self . _f ( x , y ) for y in Y ] for x in...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Clustering text documents using k-means — sciki...
print ( f "LSA done in { time () - t0 : .3f } s" ) print ( f "Explained...unique_labels . shape [ 0 ] print ( f " { len ( dataset . data ) } documents...scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
Comparing Random Forests and Histogram Gradient...
print ( f "The dataset consists of { n_samples...only_physical_cores = True ) print ( f "Number of physical cores: { N_CORES...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
Prediction Intervals for Gradient Boosting Regr...
f ( xx ), "black" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...xx , f ( xx ), "black" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Plot classification probability — scikit-learn ...
set_title ( f "Class { label } " ) # plot data...0.16 , 0.015 ]) plt . title ( f "Probability class { label } "...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Comparison of kernel ridge regression and SVR —...
time () - t0 print ( f "Best SVR with params: { svr ....= time . time () - t0 print ( f "Best KRR with params: { kr ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
The Johnson-Lindenstrauss bound for embedding w...
legend ([ f "eps = { eps : 0.1f } " for eps...color = color ) plt . legend ([ f "n_samples = { n } " for n in...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Permutation Importance vs Random Forest Feature...
print ( f "RF train accuracy: { rf . score...y_train ) : .3f } " ) print ( f "RF test accuracy: { rf . score...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html