* 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)