Searched refs:loss (Results 1 - 2 of 2) sorted by relevance

/frameworks/ml/bordeaux/learning/multiclass_pa/native/
H A Dmulticlass_pa.cpp116 float loss = 1.0 - target_class_score + other_class_score; local
117 if (loss > 0.0) {
123 float rate = loss / twice_norm_square;
127 // VLOG(1) << "loss = " << loss << " rate = " << rate;
135 return loss;
149 float loss = 1.0 - target_class_score + other_class_score; local
150 if (loss > 0.0) {
156 float rate = loss / twice_norm_square;
160 // VLOG(1) << "loss
[all...]
/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/
H A Dstochastic_linear_ranker.cpp37 const double loss = std::max(0.0, (1 - positive_score + negative_score)); local
45 std::min(lambda_, loss / (gradient_norm * gradient_norm));
48 loss / (gradient_norm * gradient_norm + 1 / (2 * lambda_));
101 ALOGE("Unknown rank loss type: %d", rank_loss_type_);

Completed in 432 milliseconds