// Flext attribute setters
void dtree::set_training_mode(int training_mode)
{
bool success = grt_dtree.setTrainingMode(training_mode);
if (success == false)
{
error("unable to set training_mode, hint: must be a value between 0 and " + std::to_string(GRT::DecisionTree::NUM_TRAINING_MODES));
}
}
// Flext attribute setters
void dtree::set_training_mode(int training_mode)
{
GRT::Tree::TrainingMode training_mode_ = GRT::Tree::TrainingMode::BEST_ITERATIVE_SPILT;
try
{
training_mode_ = get_grt_training_mode(training_mode);
}
catch (std::exception& e)
{
error("unable to set training_mode, hint: must be a value between 0 and " + std::to_string(GRT::Tree::NUM_TRAINING_MODES));
return;
}
bool success = grt_dtree.setTrainingMode(training_mode_);
if (success == false)
{
error("unable to set training mode");
}
}