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Illustration of prior and posterior Gaussian pr...
label = f "Sampled function # { idx + 1...plt . tight_layout () print ( f "Kernel parameters before fit:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
sklearn.model_selection.PredefinedSplit — sciki...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Hierarchical clustering: structured vs unstruct...
print ( f "Elapsed time: { elapsed_time : .2f } s" ) print ( f "Number...print ( f "Elapsed time: { elapsed_time : .2f } s" ) print ( f "Number...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
sklearn.model_selection.LeaveOneOut — scikit-le...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
Multiclass Receiver Operating Characteristic (R...
name = f " { class_of_interest } vs the...effect of numpy.ravel : print ( f "y_score: \n { y_score [ 0 : 2...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Scalable learning with polynomial kernel approx...
annotate ( f "n_comp.= { n_components } " , ( results [ f "LSVM +..."score" : lsvm_score } print ( f "Linear SVM score on raw features:...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
sklearn.feature_selection.SelectFwe — scikit-le...
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFwe.html -
Gaussian Processes regression: basic introducto...
generative process is defined as \(f(x) = x \sin(x)\) . import numpy.... plot ( X , y , label = r "$f(x) = x \sin(x)$" , linestyle =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
sklearn.feature_selection.SelectFdr — scikit-le...
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFdr.html -
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