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Made the loss calculation more explicit.

This commit is contained in:
Davis King 2014-04-05 18:56:50 -04:00
parent 137b7f80c8
commit 67448f72f7
1 changed files with 10 additions and 3 deletions
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13
dlib/svm/structural_svm_assignment_problem.h
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@ -193,6 +193,8 @@ namespace dlib
}
cost.set_size(size, size);
const double loss_for_false_association = 1;
const double loss_for_missed_association = 1;
typename feature_extractor::feature_vector_type feats;
// now fill out the cost assignment matrix
@ -211,7 +213,7 @@ namespace dlib
// add in the loss since this corresponds to an incorrect prediction.
if (c != labels[idx][r])
{
cost(r,c) += 1;
cost(r,c) += loss_for_false_association;
}
}
else
@ -219,7 +221,7 @@ namespace dlib
if (labels[idx][r] == -1)
cost(r,c) = 0;
else
cost(r,c) = 1; // 1 for the loss
cost(r,c) = loss_for_missed_association;
}
}
@ -250,7 +252,12 @@ namespace dlib
assignment[i] = -1;
if (assignment[i] != labels[idx][i])
loss += 1;
{
if (assignment[i] == -1)
loss += loss_for_missed_association;
else
loss += loss_for_false_association;
}
}
get_joint_feature_vector(samples[idx], assignment, psi);