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authorPatrick Simianer <p@simianer.de>2011-11-21 12:21:08 +0100
committerPatrick Simianer <p@simianer.de>2011-11-21 12:21:08 +0100
commit574e2336348e5d3960b3232209d01845b40e6ea8 (patch)
tree958921d46db445acf3506a8f5620429682a4362a /dtrain/pairsampling.h
parent868d01c156914faaf85335c86374cc8f47a61b96 (diff)
added pro stuff,clean up
Diffstat (limited to 'dtrain/pairsampling.h')
-rw-r--r--dtrain/pairsampling.h55
1 files changed, 49 insertions, 6 deletions
diff --git a/dtrain/pairsampling.h b/dtrain/pairsampling.h
index 131e90ca..4399dfee 100644
--- a/dtrain/pairsampling.h
+++ b/dtrain/pairsampling.h
@@ -6,7 +6,7 @@ namespace dtrain
inline void
-sample_all_pairs(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training)
+all_pairs(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training)
{
for (unsigned i = 0; i < s->size()-1; i++) {
for (unsigned j = i+1; j < s->size(); j++) {
@@ -19,7 +19,7 @@ sample_all_pairs(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& train
}
inline void
-sample_rand_pairs(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training,
+rand_pairs_5050(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training,
MT19937* prng)
{
for (unsigned i = 0; i < s->size()-1; i++) {
@@ -35,15 +35,14 @@ sample_rand_pairs(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& trai
}
bool
-sort_samples_by_score(ScoredHyp a, ScoredHyp b)
+_multpart_cmp_hyp_by_score(ScoredHyp a, ScoredHyp b)
{
return a.score < b.score;
}
-
inline void
-sample108010(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training)
+multpart108010(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training)
{
- sort(s->begin(), s->end(), sort_samples_by_score);
+ sort(s->begin(), s->end(), _multpart_cmp_hyp_by_score);
pair<ScoredHyp,ScoredHyp> p;
unsigned sz = s->size();
unsigned slice = 10;
@@ -66,6 +65,50 @@ sample108010(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training)
}
+inline bool
+_PRO_accept_pair(pair<ScoredHyp,ScoredHyp> &p)
+{
+ if (fabs(p.first.score - p.second.score) < 0.05) return false;
+ return true;
+}
+bool
+_PRO_cmp_pair_by_diff(pair<ScoredHyp,ScoredHyp> a, pair<ScoredHyp,ScoredHyp> b)
+{
+ // descending order
+ return (fabs(a.first.score - a.second.score)) > (fabs(b.first.score - b.second.score));
+}
+inline void
+PROsampling(vector<ScoredHyp>* s, vector<pair<ScoredHyp,ScoredHyp> >& training) // ugly
+{
+ unsigned max_count = 5000, count = 0;
+ bool b = false;
+ //unsigned max_pairs = (s->size()*(s->size()-1))/2;
+ vector<pair<unsigned,unsigned> > taken;
+ for (unsigned i = 0; i < s->size()-1; i++) {
+ for (unsigned j = i+1; j < s->size(); j++) {
+ pair<ScoredHyp,ScoredHyp> p;
+ p.first = (*s)[i];
+ p.second = (*s)[j];
+ vector<pair<unsigned,unsigned> >::iterator it = find(taken.begin(), taken.end(), make_pair(i, j));
+ if (_PRO_accept_pair(p) && it == taken.end()) {
+ training.push_back(p);
+ count++;
+ taken.push_back(make_pair(i, j));
+ if (count == max_count) {
+ b = true;
+ break;
+ }
+ }
+ }
+ if (b) break;
+ }
+ sort(training.begin(), training.end(), _PRO_cmp_pair_by_diff);
+ if (training.size() > 50)
+ training.erase(training.begin()+50, training.end());
+ return;
+}
+
+
} // namespace
#endif