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ermaster-b-eclipse-plugin.zip
ge f,org.eclipse.ui.views,org.ecli...rg.insightech.er.editor.view.f igure.anchor,org.insightech.e...dbflute.seasar.org/download/misc/friends/ermaster-b-eclipse-plugin.zip -
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 -
Prediction Intervals for Gradient Boosting Regr...
f ( xx ), "g:" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...( xx , f ( xx ), "g:" , linewidth = 3 , label = r "$f(x) = x\,\sin(x)$"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Statistical comparison of models using grid sea...
AUC scores across folds print ( f "Correlation of models: \n { model_scores..., n_train , n_test ) print ( f "Corrected t-value: { t_stat :...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
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 -
Post-tuning the decision threshold for cost-sen...
the business metric: print ( f "Business defined metric: { scoring...( X_train , y_train ) print ( f " { tuned_model . best_threshold_...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.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 -
Feature agglomeration vs. univariate selection ...
BayesianRidge f_regression = mem . cache ( feature_selection . f_regression...univariate_selection.f_regression... f_regression(array([[-0.451933,...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Release Highlights for scikit-learn 1.5 — sciki...
5" ) print ( f "Custom score: { custom_score...custom_scorer ) . fit ( X , y ) print ( f "Tuned decision threshold: { tuned_classifier...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.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