R/RcppExports.R

In outliertree: Explainable Outlier Detection Through Decision Tree Conditioning

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

fit_OutlierTree <- function(arr_num, ncols_numeric, arr_cat, ncols_categ, ncat, arr_ord, ncols_ord, ncat_ord, nrows, cols_ignore_r, nthreads, categ_as_bin, ord_as_bin, cat_bruteforce_subset, categ_from_maj, take_mid, max_depth, max_perc_outliers, min_size_numeric, min_size_categ, min_gain, follow_all, gain_as_pct, z_norm, z_outlier, return_outliers, cat_levels, ord_levels, colnames_num, colnames_cat, colnames_ord, min_date, min_ts) {
    .Call(`_outliertree_fit_OutlierTree`, arr_num, ncols_numeric, arr_cat, ncols_categ, ncat, arr_ord, ncols_ord, ncat_ord, nrows, cols_ignore_r, nthreads, categ_as_bin, ord_as_bin, cat_bruteforce_subset, categ_from_maj, take_mid, max_depth, max_perc_outliers, min_size_numeric, min_size_categ, min_gain, follow_all, gain_as_pct, z_norm, z_outlier, return_outliers, cat_levels, ord_levels, colnames_num, colnames_cat, colnames_ord, min_date, min_ts)
}

predict_OutlierTree <- function(ptr_model, nrows, nthreads, arr_num, arr_cat, arr_ord, cat_levels, ord_levels, colnames_num, colnames_cat, colnames_ord, min_date, min_ts) {
    .Call(`_outliertree_predict_OutlierTree`, ptr_model, nrows, nthreads, arr_num, arr_cat, arr_ord, cat_levels, ord_levels, colnames_num, colnames_cat, colnames_ord, min_date, min_ts)
}

check_few_values <- function(arr_num, nrows, ncols, nthreads) {
    .Call(`_outliertree_check_few_values`, arr_num, nrows, ncols, nthreads)
}

R_has_openmp <- function() {
    .Call(`_outliertree_R_has_openmp`)
}