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create DefaultEvalMetric only when really necessary

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This commit is contained in:
Vadim Khotilovich 2016-05-31 08:20:25 -05:00
parent 64b9dcf7b5
commit 22ad94d281
1 changed files with 3 additions and 6 deletions
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9
src/learner.cc
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@ -256,9 +256,6 @@ class LearnerImpl : public Learner {
attributes_ = std::map<std::string, std::string>( attributes_ = std::map<std::string, std::string>(
attr.begin(), attr.end()); attr.begin(), attr.end());
} }
if (metrics_.size() == 0) {
metrics_.emplace_back(Metric::Create(obj_->DefaultEvalMetric()));
}
this->base_score_ = mparam.base_score; this->base_score_ = mparam.base_score;
gbm_->ResetPredBuffer(pred_buffer_size_); gbm_->ResetPredBuffer(pred_buffer_size_);
cfg_["num_class"] = common::ToString(mparam.num_class); cfg_["num_class"] = common::ToString(mparam.num_class);
@ -307,6 +304,9 @@ class LearnerImpl : public Learner {
std::ostringstream os; std::ostringstream os;
os << '[' << iter << ']' os << '[' << iter << ']'
<< std::setiosflags(std::ios::fixed); << std::setiosflags(std::ios::fixed);
if (metrics_.size() == 0) {
metrics_.emplace_back(Metric::Create(obj_->DefaultEvalMetric()));
}
for (size_t i = 0; i < data_sets.size(); ++i) { for (size_t i = 0; i < data_sets.size(); ++i) {
this->PredictRaw(data_sets[i], &preds_); this->PredictRaw(data_sets[i], &preds_);
obj_->EvalTransform(&preds_); obj_->EvalTransform(&preds_);
@ -445,9 +445,6 @@ class LearnerImpl : public Learner {
// reset the base score // reset the base score
mparam.base_score = obj_->ProbToMargin(mparam.base_score); mparam.base_score = obj_->ProbToMargin(mparam.base_score);
if (metrics_.size() == 0) {
metrics_.emplace_back(Metric::Create(obj_->DefaultEvalMetric()));
}
this->base_score_ = mparam.base_score; this->base_score_ = mparam.base_score;
gbm_->ResetPredBuffer(pred_buffer_size_); gbm_->ResetPredBuffer(pred_buffer_size_);