* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’ * installing *source* package ‘iai’ ... ** package ‘iai’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘iai’ finding HTML links ... done acquire_license html add_julia_processes html all_treatment_combinations html apply html apply_nodes html as.mixeddata html autoplot.grid_search html autoplot.roc_curve html autoplot.similarity_comparison html autoplot.stability_analysis html categorical_classification_reward_estimator html categorical_regression_reward_estimator html categorical_reward_estimator html categorical_survival_reward_estimator html cleanup_installation html clone html convert_treatments_to_numeric html copy_splits_and_refit_leaves html decision_path html delete_rich_output_param html equal_propensity_estimator html fit html fit.grid_search html fit.imputation_learner html fit.learner html fit.optimal_feature_selection_learner html fit_and_expand html fit_cv html fit_predict html fit_predict.categorical_reward_estimator html fit_predict.numeric_reward_estimator html fit_transform html fit_transform_cv html get_best_params html get_classification_label html get_classification_label.classification_tree_learner html get_classification_label.classification_tree_multi_learner html get_classification_proba html get_classification_proba.classification_tree_learner html get_classification_proba.classification_tree_multi_learner html get_cluster_assignments html get_cluster_details html get_cluster_distances html get_depth html get_estimation_densities html get_features_used html get_grid_result_details html get_grid_result_summary html get_grid_results html get_learner html get_lower_child html get_machine_id html get_num_fits html get_num_fits.glmnetcv_learner html get_num_fits.optimal_feature_selection_learner html get_num_nodes html get_num_samples html get_params html get_parent html get_policy_treatment_outcome html get_policy_treatment_outcome_standard_error html get_policy_treatment_rank html get_prediction_constant html get_prediction_constant.glmnetcv_learner html get_prediction_constant.optimal_feature_selection_learner html get_prediction_weights html get_prediction_weights.glmnetcv_learner html get_prediction_weights.optimal_feature_selection_learner html get_prescription_treatment_rank html get_regression_constant html get_regression_constant.classification_tree_learner html get_regression_constant.classification_tree_multi_learner html get_regression_constant.prescription_tree_learner html get_regression_constant.regression_tree_learner html get_regression_constant.regression_tree_multi_learner html get_regression_constant.survival_tree_learner html get_regression_weights html get_regression_weights.classification_tree_learner html get_regression_weights.classification_tree_multi_learner html get_regression_weights.prescription_tree_learner html get_regression_weights.regression_tree_learner html get_regression_weights.regression_tree_multi_learner html get_regression_weights.survival_tree_learner html get_rich_output_params html get_roc_curve_data html get_split_categories html get_split_feature html get_split_threshold html get_split_weights html get_stability_results html get_survival_curve html get_survival_curve_data html get_survival_expected_time html get_survival_hazard html get_train_errors html get_tree html get_upper_child html glmnetcv_classifier html glmnetcv_regressor html glmnetcv_survival_learner html grid_search html iai_setup html imputation_learner html impute html impute_cv html install_julia html install_system_image html is_categoric_split html is_hyperplane_split html is_leaf html is_mixed_ordinal_split html is_mixed_parallel_split html is_ordinal_split html is_parallel_split html load_graphviz html mean_imputation_learner html missing_goes_lower html multi_questionnaire html multi_questionnaire.default html multi_questionnaire.grid_search html multi_tree_plot html multi_tree_plot.default html multi_tree_plot.grid_search html numeric_classification_reward_estimator html numeric_regression_reward_estimator html numeric_reward_estimator html numeric_survival_reward_estimator html opt_knn_imputation_learner html opt_svm_imputation_learner html opt_tree_imputation_learner html optimal_feature_selection_classifier html optimal_feature_selection_regressor html optimal_tree_classifier html optimal_tree_multi_classifier html optimal_tree_multi_regressor html optimal_tree_policy_maximizer html optimal_tree_policy_minimizer html optimal_tree_prescription_maximizer html optimal_tree_prescription_minimizer html optimal_tree_regressor html optimal_tree_survival_learner html optimal_tree_survivor html plot.grid_search html plot.roc_curve html plot.similarity_comparison html plot.stability_analysis html predict html predict.categorical_reward_estimator html predict.glmnetcv_learner html predict.numeric_reward_estimator html predict.optimal_feature_selection_learner html predict.supervised_learner html predict.supervised_multi_learner html predict.survival_learner html predict_expected_survival_time html predict_expected_survival_time.glmnetcv_survival_learner html predict_expected_survival_time.survival_curve html predict_expected_survival_time.survival_learner html predict_hazard html predict_hazard.glmnetcv_survival_learner html predict_hazard.survival_learner html predict_outcomes html predict_outcomes.policy_learner html predict_outcomes.prescription_learner html predict_proba html predict_proba.classification_learner html predict_proba.classification_multi_learner html predict_proba.glmnetcv_classifier html predict_reward html predict_reward.categorical_reward_estimator html predict_reward.numeric_reward_estimator html predict_shap html predict_treatment_outcome html predict_treatment_outcome_standard_error html predict_treatment_rank html print_path html prune_trees html questionnaire html questionnaire.optimal_feature_selection_learner html questionnaire.tree_learner html rand_imputation_learner html random_forest_classifier html random_forest_regressor html random_forest_survival_learner html read_json html refit_leaves html release_license html reset_display_label html resume_from_checkpoint html reward_estimator html roc_curve html roc_curve.classification_learner html roc_curve.classification_multi_learner html roc_curve.default html roc_curve.glmnetcv_classifier html score html score.categorical_reward_estimator html score.default html score.glmnetcv_learner html score.numeric_reward_estimator html score.optimal_feature_selection_learner html score.supervised_learner html score.supervised_multi_learner html set_display_label html set_julia_seed html set_params html set_reward_kernel_bandwidth html set_rich_output_param html set_threshold html show_in_browser html show_in_browser.abstract_visualization html show_in_browser.roc_curve html show_in_browser.tree_learner html show_questionnaire html show_questionnaire.optimal_feature_selection_learner html show_questionnaire.tree_learner html similarity_comparison html single_knn_imputation_learner html split_data html stability_analysis html transform html transform_and_expand html tree_plot html tune_reward_kernel_bandwidth html variable_importance html variable_importance.learner html variable_importance.optimal_feature_selection_learner html variable_importance.tree_learner html variable_importance_similarity html write_booster html write_dot html write_html html write_html.abstract_visualization html write_html.roc_curve html write_html.tree_learner html write_json html write_pdf html write_png html write_questionnaire html write_questionnaire.optimal_feature_selection_learner html write_questionnaire.tree_learner html write_svg html xgboost_classifier html xgboost_regressor html xgboost_survival_learner html zero_imputation_learner html ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iai)