* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘cuda.ml’ ...
** this is package ‘cuda.ml’ version ‘0.4.0’
** package ‘cuda.ml’ 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 ‘cuda.ml’
finding HTML links ... done
bundle.cuda_ml_model html
cuda.ml-package html
cuda_ml_agglomerative_clustering html
cuda_ml_backend_info html
cuda_ml_cache_clean html
cuda_ml_dbscan html
cuda_ml_elastic_net html
cuda_ml_install html
cuda_ml_kmeans html
cuda_ml_knn html
cuda_ml_knn_algo html
cuda_ml_lasso html
cuda_ml_linear_reg html
cuda_ml_logistic_reg html
cuda_ml_nvforest_export html
cuda_ml_nvforest_info html
cuda_ml_nvforest_leaf_ids html
cuda_ml_nvforest_load_model html
cuda_ml_nvforest_predict_per_tree html
cuda_ml_ols html
cuda_ml_pca html
cuda_ml_rand_forest html
cuda_ml_ridge html
cuda_ml_runtime_audit html
cuda_ml_serialize html
cuda_ml_sgd html
cuda_ml_svm html
cuda_ml_transform html
cuda_ml_tsne html
cuda_ml_tsvd html
cuda_ml_umap html
predict.cuda_ml_knn html
predict.cuda_ml_linear_model html
predict.cuda_ml_logistic_reg html
predict.cuda_ml_nvforest html
predict.cuda_ml_svm html
** 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 (cuda.ml)