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| author | Chris Dyer <cdyer@cs.cmu.edu> | 2011-09-14 14:43:03 +0100 |
|---|---|---|
| committer | Chris Dyer <cdyer@cs.cmu.edu> | 2011-09-14 14:43:03 +0100 |
| commit | 1ef494a6ece4852d51a437c4f008500535343021 (patch) | |
| tree | 6d358b210ab1519a1aec5ecfb67eb2e23f732b27 /pro-train | |
| parent | 4c7d79b5aa38514444a45d54697ad93a6bbae539 (diff) | |
fix for potential segv with no weights
Diffstat (limited to 'pro-train')
| -rw-r--r-- | pro-train/mr_pro_reduce.cc | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/pro-train/mr_pro_reduce.cc b/pro-train/mr_pro_reduce.cc index e71347ba..6b491918 100644 --- a/pro-train/mr_pro_reduce.cc +++ b/pro-train/mr_pro_reduce.cc @@ -100,7 +100,7 @@ double TrainingInference(const vector<weight_t>& x, vector<weight_t>* g = NULL) { double cll = 0; for (int i = 0; i < corpus.size(); ++i) { - const double dotprod = corpus[i].second.dot(x) + x[0]; // x[0] is bias + const double dotprod = corpus[i].second.dot(x) + (x.size() ? x[0] : weight_t()); // x[0] is bias double lp_false = dotprod; double lp_true = -dotprod; if (0 < lp_true) { |