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Rwrapper.cpp
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Rwrapper.cpp
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#ifdef _FOR_R
#include <Rcpp.h>
#include <Rcpp/unwindProtect.h>
#include <R_ext/Altrep.h>
// [[Rcpp::plugins(cpp11)]]
/* This is to serialize the model objects */
// [[Rcpp::depends(Rcereal)]]
#include <cereal/archives/binary.hpp>
#include <cereal/types/vector.hpp>
#include <sstream>
#include <string>
#include <limits>
/* This is the package's header */
#include "outlier_tree.hpp"
void delete_model_from_R_ptr(SEXP R_ptr)
{
ModelOutputs *model = static_cast<ModelOutputs*>(R_ExternalPtrAddr(R_ptr));
delete model;
R_SetExternalPtrAddr(R_ptr, nullptr);
R_ClearExternalPtr(R_ptr);
}
SEXP alloc_RawVec(void *data)
{
size_t vec_size = *(size_t*)data;
if (vec_size > (size_t)std::numeric_limits<R_xlen_t>::max())
Rcpp::stop("Resulting model is too large for R to handle.");
return Rf_allocVector(RAWSXP, vec_size);
}
/* for model serialization and re-usage in R */
/* https://stackoverflow.com/questions/18474292/how-to-handle-c-internal-data-structure-in-r-in-order-to-allow-save-load */
/* this extra comment below the link is a workaround for Rcpp issue 675 in GitHub, do not remove it */
SEXP serialize_OutlierTree(ModelOutputs *model_outputs)
{
std::stringstream ss;
{
cereal::BinaryOutputArchive oarchive(ss); // Create an output archive
oarchive(*model_outputs);
}
ss.seekg(0, ss.end);
std::stringstream::pos_type vec_size = ss.tellg();
if (vec_size <= 0) {
Rf_error("Error: model is too big to serialize, resulting object will not be usable.\n");
}
size_t vec_size_ = (size_t)vec_size;
SEXP retval = PROTECT(Rcpp::unwindProtect(alloc_RawVec, (void*)&vec_size_));
ss.seekg(0, ss.beg);
ss.read(reinterpret_cast<char*>(RAW(retval)), vec_size_);
UNPROTECT(1);
return retval;
}
SEXP deserialize_OutlierTree(SEXP src, SEXP ptr_obj)
{
std::stringstream ss;
ss.write(reinterpret_cast<char*>(RAW(src)), Rf_xlength(src));
ss.seekg(0, ss.beg);
std::unique_ptr<ModelOutputs> model_outputs = std::unique_ptr<ModelOutputs>(new ModelOutputs());
{
cereal::BinaryInputArchive iarchive(ss);
iarchive(*model_outputs);
}
R_SetExternalPtrAddr(ptr_obj, model_outputs.get());
R_RegisterCFinalizerEx(ptr_obj, delete_model_from_R_ptr, TRUE);
model_outputs.release();
return R_NilValue;
}
static R_altrep_class_t otree_altrepped_pointer_class;
R_xlen_t altrepped_pointer_length(SEXP obj)
{
return 1;
}
SEXP get_element_from_altrepped_ptr(SEXP R_altrepped_obj, R_xlen_t idx)
{
return R_altrep_data1(R_altrepped_obj);
}
Rboolean inspect_altrepped_pointer(SEXP x, int pre, int deep, int pvec, void (*inspect_subtree)(SEXP, int, int, int))
{
Rprintf("Altrepped pointer [address:%p]\n", R_ExternalPtrAddr(R_altrep_data1(x)));
return TRUE;
}
SEXP duplicate_altrepped_pointer(SEXP altrepped_obj, Rboolean deep)
{
SEXP R_ptr_name = PROTECT(Rf_mkString("ptr"));
SEXP R_ptr_class = PROTECT(Rf_mkString("otree_altrepped_handle"));
SEXP out = PROTECT(R_new_altrep(otree_altrepped_pointer_class, R_NilValue, R_NilValue));
if (!deep) {
R_set_altrep_data1(out, R_altrep_data1(altrepped_obj));
}
else {
SEXP R_ptr = PROTECT(R_MakeExternalPtr(nullptr, R_NilValue, R_NilValue));
try {
std::unique_ptr<ModelOutputs> new_obj(new ModelOutputs());
ModelOutputs *cpp_ptr = (ModelOutputs*)R_ExternalPtrAddr(R_altrep_data1(altrepped_obj));
*new_obj = *cpp_ptr;
R_SetExternalPtrAddr(R_ptr, new_obj.get());
R_RegisterCFinalizerEx(R_ptr, delete_model_from_R_ptr, TRUE);
new_obj.release();
}
catch (const std::exception &ex) {
Rf_error("%s\n", ex.what());
}
R_set_altrep_data1(out, R_ptr);
UNPROTECT(1);
}
Rf_setAttrib(out, R_NamesSymbol, R_ptr_name);
Rf_setAttrib(out, R_NamesSymbol, R_ptr_class);
UNPROTECT(3);
return out;
}
SEXP serialize_altrepped_pointer(SEXP altrepped_obj)
{
return serialize_OutlierTree((ModelOutputs*)R_ExternalPtrAddr(R_altrep_data1(altrepped_obj)));
}
SEXP deserialize_altrepped_pointer(SEXP cls, SEXP R_state)
{
SEXP R_ptr_name = PROTECT(Rf_mkString("ptr"));
SEXP R_ptr_class = PROTECT(Rf_mkString("otree_altrepped_handle"));
SEXP R_ptr = PROTECT(R_MakeExternalPtr(nullptr, R_NilValue, R_NilValue));
SEXP out = PROTECT(R_new_altrep(otree_altrepped_pointer_class, R_NilValue, R_NilValue));
try {
deserialize_OutlierTree(R_state, R_ptr);
}
catch (const std::exception &ex) {
Rf_error("%s\n", ex.what());
}
R_set_altrep_data1(out, R_ptr);
Rf_setAttrib(out, R_NamesSymbol, R_ptr_name);
Rf_setAttrib(out, R_ClassSymbol, R_ptr_class);
UNPROTECT(4);
return out;
}
SEXP get_altrepped_pointer(void *void_ptr)
{
SEXP R_ptr_name = PROTECT(Rf_mkString("ptr"));
SEXP R_ptr_class = PROTECT(Rf_mkString("otree_altrepped_handle"));
SEXP R_ptr = PROTECT(R_MakeExternalPtr(nullptr, R_NilValue, R_NilValue));
SEXP out = PROTECT(R_new_altrep(otree_altrepped_pointer_class, R_NilValue, R_NilValue));
std::unique_ptr<ModelOutputs> *ptr = (std::unique_ptr<ModelOutputs>*)void_ptr;
R_SetExternalPtrAddr(R_ptr, ptr->get());
R_RegisterCFinalizerEx(R_ptr, delete_model_from_R_ptr, TRUE);
ptr->release();
R_set_altrep_data1(out, R_ptr);
Rf_setAttrib(out, R_NamesSymbol, R_ptr_name);
Rf_setAttrib(out, R_ClassSymbol, R_ptr_class);
UNPROTECT(4);
return out;
}
// [[Rcpp::init]]
void init_altrepped_class(DllInfo* dll)
{
otree_altrepped_pointer_class = R_make_altlist_class("otree_altrepped_pointer_class", "outliertree", dll);
R_set_altrep_Length_method(otree_altrepped_pointer_class, altrepped_pointer_length);
R_set_altrep_Inspect_method(otree_altrepped_pointer_class, inspect_altrepped_pointer);
R_set_altrep_Serialized_state_method(otree_altrepped_pointer_class, serialize_altrepped_pointer);
R_set_altrep_Unserialize_method(otree_altrepped_pointer_class, deserialize_altrepped_pointer);
R_set_altrep_Duplicate_method(otree_altrepped_pointer_class, duplicate_altrepped_pointer);
R_set_altlist_Elt_method(otree_altrepped_pointer_class, get_element_from_altrepped_ptr);
}
SEXP safe_int(void *x)
{
return Rf_ScalarInteger(*(int*)x);
}
SEXP safe_bool(void *x)
{
return Rf_ScalarLogical(*(bool*)x);
}
double* set_R_nan_as_C_nan(double *restrict x_R, std::vector<double> &x_C, size_t n, int nthreads)
{
x_C.assign(x_R, x_R + n);
#pragma omp parallel for schedule(static) num_threads(nthreads) shared(x_R, x_C, n)
for (size_t_for i = 0; i < n; i++)
if (isnan(x_R[i]) || Rcpp::NumericVector::is_na(x_R[i]) || Rcpp::traits::is_nan<REALSXP>(x_R[i]))
x_C[i] = NAN;
return x_C.data();
}
double* set_R_nan_as_C_nan(double *restrict x_R, Rcpp::NumericVector &x_C, size_t n, int nthreads)
{
x_C = Rcpp::NumericVector(x_R, x_R + n);
#pragma omp parallel for schedule(static) num_threads(nthreads) shared(x_R, x_C, n)
for (size_t_for i = 0; i < n; i++)
if (isnan(x_R[i]) || Rcpp::NumericVector::is_na(x_R[i]) || Rcpp::traits::is_nan<REALSXP>(x_R[i]))
x_C[i] = NAN;
return REAL(x_C);
}
/* for predicting outliers */
Rcpp::List describe_outliers(ModelOutputs &model_outputs,
double *restrict arr_num,
int *restrict arr_cat,
int *restrict arr_ord,
Rcpp::ListOf<Rcpp::StringVector> cat_levels,
Rcpp::ListOf<Rcpp::StringVector> ord_levels,
Rcpp::StringVector colnames_num,
Rcpp::StringVector colnames_cat,
Rcpp::StringVector colnames_ord,
Rcpp::NumericVector min_date,
Rcpp::NumericVector min_ts)
{
size_t nrows = model_outputs.outlier_scores_final.size();
size_t ncols_num = model_outputs.ncols_numeric;
size_t ncols_cat = model_outputs.ncols_categ;
size_t ncols_num_num = model_outputs.ncols_numeric - min_date.size() - min_ts.size();
size_t ncols_date = min_date.size();
size_t ncols_cat_cat = cat_levels.size();
Rcpp::List outp;
Rcpp::LogicalVector has_na_col = Rcpp::LogicalVector(nrows, NA_LOGICAL);
Rcpp::IntegerVector tree_depth = Rcpp::IntegerVector(nrows, NA_INTEGER);
Rcpp::NumericVector outlier_score = Rcpp::NumericVector(nrows, NA_REAL);
Rcpp::ListOf<Rcpp::List> outlier_val = Rcpp::ListOf<Rcpp::List>(nrows);
Rcpp::ListOf<Rcpp::List> lst_stats = Rcpp::ListOf<Rcpp::List>(nrows);
Rcpp::ListOf<Rcpp::List> lst_cond = Rcpp::ListOf<Rcpp::List>(nrows);
size_t outl_col;
size_t outl_clust;
size_t curr_tree;
size_t parent_tree;
Rcpp::LogicalVector tmp_bool;
for (size_t row = 0; row < nrows; row++) {
if (model_outputs.outlier_scores_final[row] < 1) {
outl_col = model_outputs.outlier_columns_final[row];
outl_clust = model_outputs.outlier_clusters_final[row];
/* metrics of outlierness - used to rank when choosing which to print */
outlier_score[row] = model_outputs.outlier_scores_final[row];
tree_depth[row] = (int)model_outputs.outlier_depth_final[row];
has_na_col[row] = model_outputs.all_clusters[outl_col][outl_clust].has_NA_branch;
/* first determine outlier column and suspected value */
if (outl_col < ncols_num) {
if (outl_col < ncols_num_num) {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_num[outl_col]),
Rcpp::_["value"] = Rcpp::wrap(arr_num[row + outl_col * nrows]),
Rcpp::_["decimals"] = Rcpp::wrap(model_outputs.outlier_decimals_distr[row])
);
} else if (outl_col < (ncols_num_num + ncols_date)) {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_num[outl_col]),
Rcpp::_["value"] = Rcpp::Date(arr_num[row + outl_col * nrows] - 1 + min_date[outl_col - ncols_num_num])
);
} else {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_num[outl_col]),
Rcpp::_["value"] = Rcpp::Datetime(arr_num[row + outl_col * nrows] - 1 + min_ts[outl_col - ncols_num_num - ncols_date])
);
}
} else if (outl_col < (ncols_num + ncols_cat)) {
if (outl_col < (ncols_num + ncols_cat_cat)) {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_cat[outl_col - ncols_num]),
Rcpp::_["value"] = Rcpp::CharacterVector(1, cat_levels[outl_col - ncols_num]
[arr_cat[row + (outl_col - ncols_num) * nrows]])
);
} else {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_cat[outl_col - ncols_num]),
Rcpp::_["value"] = Rcpp::wrap((bool)arr_cat[row + (outl_col - ncols_num) * nrows])
);
}
} else {
outlier_val[row] = Rcpp::List::create(
Rcpp::_["column"] = Rcpp::CharacterVector(1, colnames_ord[outl_col - ncols_num - ncols_cat]),
Rcpp::_["value"] = Rcpp::CharacterVector(1, ord_levels[outl_col - ncols_num - ncols_cat]
[arr_ord[row + (outl_col - ncols_num - ncols_cat) * nrows]])
);
}
/* info about the normal observations in the cluster */
if (outl_col < ncols_num) {
if (outl_col < ncols_num_num) {
if (arr_num[row + outl_col * nrows] >= model_outputs.all_clusters[outl_col][outl_clust].upper_lim) {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["upper_thr"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_lim_high),
Rcpp::_["pct_below"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_below),
Rcpp::_["mean"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_mean),
Rcpp::_["sd"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_sd),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["lower_thr"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_lim_low),
Rcpp::_["pct_above"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_above),
Rcpp::_["mean"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_mean),
Rcpp::_["sd"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].display_sd),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else if (outl_col < (ncols_num_num + ncols_date)) {
if (arr_num[row + outl_col * nrows] >= model_outputs.all_clusters[outl_col][outl_clust].upper_lim) {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["upper_thr"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].display_lim_high
- 1 + min_date[outl_col - ncols_num_num]),
Rcpp::_["pct_below"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_below),
Rcpp::_["mean"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].display_mean - 1 + min_date[outl_col - ncols_num_num]),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["lower_thr"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].display_lim_low
- 1 + min_date[outl_col - ncols_num_num]),
Rcpp::_["pct_above"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_above),
Rcpp::_["mean"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].display_mean - 1 + min_date[outl_col - ncols_num_num]),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else {
if (arr_num[row + outl_col * nrows] >= model_outputs.all_clusters[outl_col][outl_clust].upper_lim) {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["upper_thr"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].display_lim_high
- 1 + min_ts[outl_col - ncols_num_num - ncols_date]),
Rcpp::_["pct_below"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_below),
Rcpp::_["mean"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].display_mean
- 1 + min_ts[outl_col - ncols_num_num - ncols_date]),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["lower_thr"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].display_lim_low
- 1 + min_ts[outl_col - ncols_num_num - ncols_date]),
Rcpp::_["pct_above"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_above),
Rcpp::_["mean"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].display_mean
- 1 + min_ts[outl_col - ncols_num_num - ncols_date]),
Rcpp::_["n_obs"] = Rcpp::wrap((int)model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
}
} else if (outl_col < (ncols_num + ncols_cat)) {
if (outl_col < (ncols_num + ncols_cat_cat)) {
tmp_bool = Rcpp::LogicalVector(model_outputs.all_clusters[outl_col][outl_clust].subset_common.size(), false);
for (size_t cat = 0; cat < (size_t)tmp_bool.size(); cat++) {
if (model_outputs.all_clusters[outl_col][outl_clust].subset_common[cat] == 0) {
tmp_bool[cat] = true;
}
}
if (model_outputs.all_clusters[outl_col][outl_clust].split_type != Root) {
if (model_outputs.all_clusters[outl_col][outl_clust].categ_maj < 0) {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categs_common"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[outl_col - ncols_num][tmp_bool]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["pct_next_most_comm"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_next_most_comm),
Rcpp::_["prior_prob"] = Rcpp::wrap(model_outputs.prop_categ[model_outputs.start_ix_cat_counts[outl_col - ncols_num] +
arr_cat[row + (outl_col - ncols_num) * nrows]]),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categ_maj"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[outl_col - ncols_num][
model_outputs.all_clusters[outl_col][outl_clust].categ_maj
]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["prior_prob"] = Rcpp::wrap(model_outputs.prop_categ[model_outputs.start_ix_cat_counts[outl_col - ncols_num] +
arr_cat[row + (outl_col - ncols_num) * nrows]]),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categs_common"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[outl_col - ncols_num][tmp_bool]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["pct_next_most_comm"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_next_most_comm),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["pct_other"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["prior_prob"] = Rcpp::wrap(model_outputs.prop_categ[model_outputs.start_ix_cat_counts[outl_col - ncols_num] +
arr_cat[row + (outl_col - ncols_num) * nrows]]),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else {
tmp_bool = Rcpp::LogicalVector(model_outputs.all_clusters[outl_col][outl_clust].subset_common.size(), false);
for (size_t cat = 0; cat < (size_t)tmp_bool.size(); cat++) {
if (model_outputs.all_clusters[outl_col][outl_clust].subset_common[cat] == 0) {
tmp_bool[cat] = true;
}
}
if (model_outputs.all_clusters[outl_col][outl_clust].split_type != Root) {
if (model_outputs.all_clusters[outl_col][outl_clust].categ_maj < 0) {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categs_common"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[outl_col - ncols_num - ncols_cat][tmp_bool]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["pct_next_most_comm"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_next_most_comm),
Rcpp::_["prior_prob"] = Rcpp::wrap(model_outputs.prop_categ[model_outputs.start_ix_cat_counts[outl_col - ncols_num] +
arr_ord[row + (outl_col - ncols_num - ncols_cat) * nrows]]),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categ_maj"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[outl_col - ncols_num - ncols_cat][
model_outputs.all_clusters[outl_col][outl_clust].categ_maj
]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["prior_prob"] = Rcpp::wrap(model_outputs.prop_categ[model_outputs.start_ix_cat_counts[outl_col - ncols_num] +
arr_ord[row + (outl_col - ncols_num - ncols_cat) * nrows]]),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
} else {
lst_stats[row] = Rcpp::List::create(
Rcpp::_["categs_common"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[outl_col - ncols_num - ncols_cat][tmp_bool]),
Rcpp::_["pct_common"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_in_subset),
Rcpp::_["pct_next_most_comm"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].perc_next_most_comm),
Rcpp::_["n_obs"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].cluster_size)
);
}
}
/* then determine conditions from the cluster */
Rcpp::List cond_clust;
if (model_outputs.all_clusters[outl_col][outl_clust].column_type != NoType) {
/* add the column name and actual value for the row */
switch(model_outputs.all_clusters[outl_col][outl_clust].column_type) {
case Numeric:
{
cond_clust["column"] = Rcpp::CharacterVector(1, colnames_num[model_outputs.all_clusters[outl_col][outl_clust].col_num]);
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_num_num) {
cond_clust["value_this"] = Rcpp::wrap(arr_num[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]);
if (model_outputs.all_clusters[outl_col][outl_clust].split_type != IsNa)
cond_clust["decimals"] = Rcpp::wrap(model_outputs.min_decimals_col[model_outputs.all_clusters[outl_col][outl_clust].col_num]);
} else if (model_outputs.all_clusters[outl_col][outl_clust].col_num < (ncols_num_num + ncols_date)) {
cond_clust["value_this"] = Rcpp::Date(arr_num[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]
- 1 + min_date[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num]);
} else {
cond_clust["value_this"] = Rcpp::Datetime(arr_num[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]
- 1 + min_ts[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num - ncols_date]);
}
break;
}
case Categorical:
{
cond_clust["column"] = Rcpp::CharacterVector(1, colnames_cat[model_outputs.all_clusters[outl_col][outl_clust].col_num]);
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_cat_cat) {
if (arr_cat[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows] >= 0) {
cond_clust["value_this"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[arr_cat[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]]);
} else {
cond_clust["value_this"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
}
} else {
if (arr_cat[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows] >= 0) {
cond_clust["value_this"] = Rcpp::wrap((bool)arr_cat[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]);
} else {
cond_clust["value_this"] = Rcpp::LogicalVector(1, NA_LOGICAL);
}
}
break;
}
case Ordinal:
{
cond_clust["column"] = Rcpp::CharacterVector(1, colnames_ord[model_outputs.all_clusters[outl_col][outl_clust].col_num]);
if (arr_ord[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows] >= 0) {
cond_clust["value_this"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[arr_ord[row + model_outputs.all_clusters[outl_col][outl_clust].col_num * nrows]]);
} else {
cond_clust["value_this"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
}
break;
}
default:
{
assert(0);
break;
}
}
/* add the comparison point */
switch(model_outputs.all_clusters[outl_col][outl_clust].split_type) {
case IsNa:
{
cond_clust["comparison"] = Rcpp::CharacterVector("is NA");
switch(model_outputs.all_clusters[outl_col][outl_clust].column_type) {
case Numeric:
{
/* http://lists.r-forge.r-project.org/pipermail/rcpp-devel/2012-October/004379.html */
/* this comment below will prevent bug with Rcpp comments having forward slashes */
cond_clust["value_comp"] = Rcpp::wrap(NA_REAL);
break;
}
case Categorical:
{
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_cat_cat) {
cond_clust["value_comp"] = Rcpp::wrap(NA_STRING);
} else {
cond_clust["value_comp"] = Rcpp::LogicalVector(1, NA_LOGICAL);
}
break;
}
case Ordinal:
{
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
break;
}
default:
{
unexpected_error();
}
}
break;
}
case LessOrEqual:
{
if (model_outputs.all_clusters[outl_col][outl_clust].column_type == Numeric) {
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_num_num) {
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].split_point);
} else if (model_outputs.all_clusters[outl_col][outl_clust].col_num < (ncols_num_num + ncols_date)) {
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].split_point
- 1 + min_date[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num]);
} else {
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].split_point
- 1 + min_ts[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num - ncols_date]);
}
} else {
tmp_bool = Rcpp::LogicalVector(ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num].size(), false);
for (int cat = 0; cat <= model_outputs.all_clusters[outl_col][outl_clust].split_lev; cat++) tmp_bool[cat] = true;
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num][tmp_bool]);
}
break;
}
case Greater:
{
if (model_outputs.all_clusters[outl_col][outl_clust].column_type == Numeric) {
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_num_num) {
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::wrap(model_outputs.all_clusters[outl_col][outl_clust].split_point);
} else if (model_outputs.all_clusters[outl_col][outl_clust].col_num < (ncols_num_num + ncols_date)) {
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::Date(model_outputs.all_clusters[outl_col][outl_clust].split_point
- 1 + min_date[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num]);
} else {
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::Datetime(model_outputs.all_clusters[outl_col][outl_clust].split_point
- 1 + min_ts[model_outputs.all_clusters[outl_col][outl_clust].col_num - ncols_num_num - ncols_date]);
}
} else {
tmp_bool = Rcpp::LogicalVector(ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num].size(), true);
for (int cat = 0; cat <= model_outputs.all_clusters[outl_col][outl_clust].split_lev; cat++) tmp_bool[cat] = false;
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num][tmp_bool]);
}
break;
}
case InSubset:
{
tmp_bool = Rcpp::LogicalVector(model_outputs.all_clusters[outl_col][outl_clust].split_subset.size(), false);
for (size_t cat = 0; cat < model_outputs.all_clusters[outl_col][outl_clust].split_subset.size(); cat++) {
if (model_outputs.all_clusters[outl_col][outl_clust].split_subset[cat] > 0) {
tmp_bool[cat] = true;
}
}
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num][tmp_bool]);
break;
}
case NotInSubset:
{
tmp_bool = Rcpp::LogicalVector(model_outputs.all_clusters[outl_col][outl_clust].split_subset.size(), false);
for (size_t cat = 0; cat < model_outputs.all_clusters[outl_col][outl_clust].split_subset.size(); cat++) {
if (model_outputs.all_clusters[outl_col][outl_clust].split_subset[cat] == 0) {
tmp_bool[cat] = true;
}
}
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num][tmp_bool]);
break;
}
case Equal:
{
if (model_outputs.all_clusters[outl_col][outl_clust].column_type == Categorical) {
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_cat_cat) {
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[model_outputs.all_clusters[outl_col][outl_clust].split_lev]);
} else {
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::wrap((bool) model_outputs.all_clusters[outl_col][outl_clust].split_lev);
}
} else {
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[model_outputs.all_clusters[outl_col][outl_clust].split_lev]);
}
break;
}
case NotEqual:
{
if (model_outputs.all_clusters[outl_col][outl_clust].column_type == Categorical) {
if (model_outputs.all_clusters[outl_col][outl_clust].col_num < ncols_cat_cat) {
cond_clust["comparison"] = Rcpp::CharacterVector("!=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[model_outputs.all_clusters[outl_col][outl_clust].split_lev]);
} else {
cond_clust["comparison"] = Rcpp::CharacterVector("!=");
cond_clust["value_comp"] = Rcpp::wrap(!((bool)model_outputs.all_clusters[outl_col][outl_clust].split_lev));
}
} else {
cond_clust["comparison"] = Rcpp::CharacterVector("!=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_clusters[outl_col][outl_clust].col_num]
[model_outputs.all_clusters[outl_col][outl_clust].split_lev]);
}
break;
}
default:
{
assert(0);
break;
}
}
lst_cond[row] = Rcpp::List::create(Rcpp::clone(cond_clust));
/* finally, add conditions from branches that lead to the cluster */
curr_tree = model_outputs.outlier_trees_final[row];
Rcpp::List temp_list;
while (true) {
if (curr_tree == 0 || model_outputs.all_trees[outl_col][curr_tree].parent_branch == SubTrees) {
break;
}
parent_tree = model_outputs.all_trees[outl_col][curr_tree].parent;
cond_clust = Rcpp::List();
/* when using 'follow_all' */
if (model_outputs.all_trees[outl_col][parent_tree].all_branches.size() > 0) {
/* add column name and value */
switch(model_outputs.all_trees[outl_col][curr_tree].column_type) {
case Numeric:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_num[model_outputs.all_trees[outl_col][curr_tree].col_num]);
break;
}
case Categorical:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_cat[model_outputs.all_trees[outl_col][curr_tree].col_num]);
break;
}
case Ordinal:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_ord[model_outputs.all_trees[outl_col][curr_tree].col_num]);
break;
}
default:
{
assert(0);
break;
}
}
/* add conditions from tree */
switch(model_outputs.all_trees[outl_col][curr_tree].column_type) {
case Numeric:
{
/* add decimals if appropriate */
if (
model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_num_num &&
model_outputs.all_trees[outl_col][curr_tree].split_this_branch != IsNa
)
{
cond_clust["decimals"] = Rcpp::wrap(model_outputs.min_decimals_col[model_outputs.all_trees[outl_col][curr_tree].col_num]);
}
/* then conditions */
switch(model_outputs.all_trees[outl_col][curr_tree].split_this_branch) {
case IsNa:
{
cond_clust["value_this"] = Rcpp::wrap(NA_REAL);
cond_clust["comparison"] = Rcpp::CharacterVector("is NA");
cond_clust["value_comp"] = Rcpp::wrap(NA_REAL);
break;
}
case LessOrEqual:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_num_num) {
cond_clust["value_this"] = Rcpp::wrap(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::wrap(model_outputs.all_trees[outl_col][curr_tree].split_point);
} else if (model_outputs.all_trees[outl_col][curr_tree].col_num < (ncols_num_num + ncols_date)) {
cond_clust["value_this"] = Rcpp::Date(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]
- 1 + min_date[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num]);
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::Date(model_outputs.all_trees[outl_col][curr_tree].split_point
- 1 + min_date[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num]);
} else {
cond_clust["value_this"] = Rcpp::Datetime(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]
- 1 + min_ts[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num - ncols_date]);
cond_clust["comparison"] = Rcpp::CharacterVector("<=");
cond_clust["value_comp"] = Rcpp::Datetime(model_outputs.all_trees[outl_col][curr_tree].split_point
- 1 + min_ts[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num - ncols_date]);
}
break;
}
case Greater:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_num_num) {
cond_clust["value_this"] = Rcpp::wrap(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::wrap(model_outputs.all_trees[outl_col][curr_tree].split_point);
} else if (model_outputs.all_trees[outl_col][curr_tree].col_num < (ncols_num_num + ncols_date)) {
cond_clust["value_this"] = Rcpp::Date(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]
- 1 + min_date[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num]);
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::Date(model_outputs.all_trees[outl_col][curr_tree].split_point
- 1 + min_date[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num]);
} else {
cond_clust["value_this"] = Rcpp::Datetime(arr_num[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]
- 1 + min_ts[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num - ncols_date]);
cond_clust["comparison"] = Rcpp::CharacterVector(">");
cond_clust["value_comp"] = Rcpp::Datetime(model_outputs.all_trees[outl_col][curr_tree].split_point
- 1 + min_ts[model_outputs.all_trees[outl_col][curr_tree].col_num - ncols_num_num - ncols_date]);
}
break;
}
default: {}
}
break;
}
case Categorical:
{
switch(model_outputs.all_trees[outl_col][curr_tree].split_this_branch) {
case IsNa:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_cat_cat) {
cond_clust["value_this"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
cond_clust["comparison"] = Rcpp::CharacterVector("is NA");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
} else {
cond_clust["value_this"] = Rcpp::LogicalVector(1, NA_LOGICAL);
cond_clust["comparison"] = Rcpp::CharacterVector("is NA");
cond_clust["value_comp"] = Rcpp::LogicalVector(1, NA_LOGICAL);
}
break;
}
case InSubset:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_cat_cat) {
tmp_bool = Rcpp::LogicalVector(model_outputs.all_trees[outl_col][curr_tree].split_subset.size(), false);
for (size_t cat = 0; cat < model_outputs.all_trees[outl_col][curr_tree].split_subset.size(); cat++) {
if (model_outputs.all_trees[outl_col][curr_tree].split_subset[cat] > 0) {
tmp_bool[cat] = true;
}
}
cond_clust["value_this"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num][tmp_bool]);
} else {
cond_clust["value_this"] = Rcpp::wrap((bool) arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::wrap((bool) model_outputs.all_trees[outl_col][curr_tree].split_subset[1]);
}
break;
}
case NotInSubset:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_cat_cat) {
tmp_bool = Rcpp::LogicalVector(model_outputs.all_trees[outl_col][curr_tree].split_subset.size(), true);
for (size_t cat = 0; cat < model_outputs.all_trees[outl_col][curr_tree].split_subset.size(); cat++) {
if (model_outputs.all_trees[outl_col][curr_tree].split_subset[cat] > 0) {
tmp_bool[cat] = false;
}
}
cond_clust["value_this"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num][tmp_bool]);
} else {
cond_clust["value_this"] = Rcpp::wrap((bool) arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::wrap((bool) model_outputs.all_trees[outl_col][curr_tree].split_subset[0]);
}
break;
}
case Equal:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_cat_cat) {
cond_clust["value_this"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[model_outputs.all_trees[outl_col][curr_tree].split_lev]);
} else {
cond_clust["value_this"] = Rcpp::wrap((bool) arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::wrap((bool) model_outputs.all_trees[outl_col][curr_tree].split_lev);
}
break;
}
case NotEqual:
{
if (model_outputs.all_trees[outl_col][curr_tree].col_num < ncols_cat_cat) {
cond_clust["value_this"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("!=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, cat_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[model_outputs.all_trees[outl_col][curr_tree].split_lev]);
} else {
cond_clust["value_this"] = Rcpp::wrap((bool) arr_cat[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::wrap((bool) !model_outputs.all_trees[outl_col][curr_tree].split_lev);
/* note: booleans should always get converted to Equals, this code is redundant */
}
break;
}
default: {}
}
break;
}
case Ordinal:
{
switch(model_outputs.all_trees[outl_col][curr_tree].split_this_branch) {
case IsNa:
{
cond_clust["value_this"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
cond_clust["comparison"] = Rcpp::CharacterVector("is NA");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(NA_STRING);
break;
}
case LessOrEqual:
{
tmp_bool = Rcpp::LogicalVector(ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num].size(), false);
for (int cat = 0; cat <= model_outputs.all_trees[outl_col][curr_tree].split_lev; cat++) {
tmp_bool[cat] = true;
}
cond_clust["value_this"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_ord[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num][tmp_bool]);
break;
}
case Greater:
{
tmp_bool = Rcpp::LogicalVector(ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num].size(), true);
for (int cat = 0; cat <= model_outputs.all_trees[outl_col][curr_tree].split_lev; cat++) {
tmp_bool[cat] = false;
}
cond_clust["value_this"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_ord[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("in");
cond_clust["value_comp"] = Rcpp::as<Rcpp::CharacterVector>(ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num][tmp_bool]);
break;
}
case Equal:
{
cond_clust["value_this"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_ord[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[model_outputs.all_trees[outl_col][curr_tree].split_lev]);
break;
}
case NotEqual:
{
cond_clust["value_this"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[arr_ord[row + model_outputs.all_trees[outl_col][curr_tree].col_num * nrows]]);
cond_clust["comparison"] = Rcpp::CharacterVector("!=");
cond_clust["value_comp"] = Rcpp::CharacterVector(1, ord_levels[model_outputs.all_trees[outl_col][curr_tree].col_num]
[model_outputs.all_trees[outl_col][curr_tree].split_lev]);
break;
}
default: {}
}
break;
}
default:
{
assert(0);
break;
}
}
}
/* regular case (no 'follow_all') */
else
{
/* add column name and value */
switch(model_outputs.all_trees[outl_col][parent_tree].column_type) {
case Numeric:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_num[model_outputs.all_trees[outl_col][parent_tree].col_num]);
/* add decimals if appropriate */
if (
model_outputs.all_trees[outl_col][parent_tree].col_num < ncols_num_num &&
model_outputs.all_trees[outl_col][curr_tree].parent_branch != IsNa
)
{
cond_clust["decimals"] = Rcpp::wrap(model_outputs.min_decimals_col[model_outputs.all_trees[outl_col][parent_tree].col_num]);
}
break;
}
case Categorical:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_cat[model_outputs.all_trees[outl_col][parent_tree].col_num]);
break;
}
case Ordinal:
{
cond_clust["column"] = Rcpp::as<Rcpp::CharacterVector>(colnames_ord[model_outputs.all_trees[outl_col][parent_tree].col_num]);
break;
}
default:
{
assert(0);
break;
}
}
/* add conditions from tree */
switch(model_outputs.all_trees[outl_col][curr_tree].parent_branch) {
case IsNa: