* 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)