* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘tidylearn’ ...
** this is package ‘tidylearn’ version ‘0.1.0’
** package ‘tidylearn’ 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 ‘tidylearn’
finding HTML links ... done
augment_dbscan html
augment_hclust html
augment_kmeans html
augment_pam html
augment_pca html
calc_validation_metrics html
calc_wss html
compare_clusterings html
compare_distances html
create_cluster_dashboard html
explore_dbscan_params html
filter_rules_by_item html
find_related_items html
get_pca_loadings html
get_pca_variance html
inspect_rules html
optimal_clusters html
optimal_hclust_k html
pipe html
plot.tidylearn_eda html
plot.tidylearn_model html
plot_cluster_comparison html
plot_cluster_sizes html
plot_clusters html
plot_dendrogram html
plot_distance_heatmap html
plot_elbow html
plot_gap_stat html
plot_knn_dist html
plot_mds html
plot_silhouette html
plot_variance_explained html
predict.tidylearn_model html
predict.tidylearn_stratified html
predict.tidylearn_transfer html
print.tidy_apriori html
print.tidy_dbscan html
print.tidy_gap html
print.tidy_hclust html
print.tidy_kmeans html
print.tidy_mds html
print.tidy_pam html
print.tidy_pca html
print.tidy_silhouette html
print.tidylearn_automl html
print.tidylearn_eda html
print.tidylearn_model html
print.tidylearn_pipeline html
recommend_products html
standardize_data html
suggest_eps html
summarize_rules html
summary.tidylearn_model html
summary.tidylearn_pipeline html
tidy_apriori html
tidy_clara html
tidy_cutree html
tidy_dbscan html
tidy_dendrogram html
tidy_dist html
tidy_gap_stat html
tidy_gower html
tidy_hclust html
tidy_kmeans html
tidy_knn_dist html
tidy_mds html
tidy_mds_classical html
tidy_mds_kruskal html
tidy_mds_sammon html
tidy_mds_smacof html
tidy_pam html
tidy_pca html
tidy_pca_biplot html
tidy_pca_screeplot html
tidy_rules html
tidy_silhouette html
tidy_silhouette_analysis html
tidylearn-classification html
tidylearn-core html
tidylearn-deep-learning html
tidylearn-diagnostics html
tidylearn-interactions html
tidylearn-metrics html
tidylearn-model-selection html
tidylearn-neural-networks html
tidylearn-pipeline html
tidylearn-regression html
tidylearn-regularization html
tidylearn-svm html
tidylearn-trees html
tidylearn-tuning html
tidylearn-visualization html
tidylearn-xgboost html
tl_add_cluster_features html
tl_anomaly_aware html
tl_auto_interactions html
tl_auto_ml html
tl_calc_classification_metrics html
tl_calculate_pr_auc html
tl_check_assumptions html
tl_compare_cv html
tl_compare_pipeline_models html
tl_cv html
tl_dashboard html
tl_default_param_grid html
tl_detect_outliers html
tl_diagnostic_dashboard html
tl_evaluate html
tl_evaluate_thresholds html
tl_explore html
tl_extract_importance html
tl_extract_importance_regularized html
tl_fit_boost html
tl_fit_deep html
tl_fit_elastic_net html
tl_fit_forest html
tl_fit_lasso html
tl_fit_linear html
tl_fit_logistic html
tl_fit_nn html
tl_fit_polynomial html
tl_fit_regularized html
tl_fit_ridge html
tl_fit_svm html
tl_fit_tree html
tl_fit_xgboost html
tl_get_best_model html
tl_influence_measures html
tl_interaction_effects html
tl_load_pipeline html
tl_model html
tl_pipeline html
tl_plot_actual_predicted html
tl_plot_calibration html
tl_plot_confusion html
tl_plot_cv_comparison html
tl_plot_cv_results html
tl_plot_deep_architecture html
tl_plot_deep_history html
tl_plot_diagnostics html
tl_plot_gain html
tl_plot_importance html
tl_plot_importance_comparison html
tl_plot_importance_regularized html
tl_plot_influence html
tl_plot_interaction html
tl_plot_intervals html
tl_plot_lift html
tl_plot_model_comparison html
tl_plot_nn_architecture html
tl_plot_nn_tuning html
tl_plot_partial_dependence html
tl_plot_precision_recall html
tl_plot_regularization_cv html
tl_plot_regularization_path html
tl_plot_residuals html
tl_plot_roc html
tl_plot_svm_boundary html
tl_plot_svm_tuning html
tl_plot_tree html
tl_plot_tuning_results html
tl_plot_xgboost_importance html
tl_plot_xgboost_shap_dependence html
tl_plot_xgboost_shap_summary html
tl_plot_xgboost_tree html
tl_predict_boost html
tl_predict_deep html
tl_predict_elastic_net html
tl_predict_forest html
tl_predict_lasso html
tl_predict_linear html
tl_predict_logistic html
tl_predict_nn html
tl_predict_pipeline html
tl_predict_polynomial html
tl_predict_regularized html
tl_predict_ridge html
tl_predict_svm html
tl_predict_tree html
tl_predict_xgboost html
tl_prepare_data html
tl_reduce_dimensions html
tl_run_pipeline html
tl_save_pipeline html
tl_semisupervised html
tl_split html
tl_step_selection html
tl_stratified_models html
tl_test_interactions html
tl_test_model_difference html
tl_transfer_learning html
tl_tune_deep html
tl_tune_grid html
tl_tune_nn html
tl_tune_random html
tl_tune_xgboost html
tl_version html
tl_xgboost_shap html
visualize_rules html
*** copying figures
** building package indices
** installing vignettes
** 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 (tidylearn)