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authorAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
committerAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
commit5b8253e0e1f1393a509fb9975ba8c1347af758ed (patch)
tree1790470b1d07a0b4973ebce19192e896566ea60b /training/utils/entropy.h
parent2389a5a8a43dda87c355579838559515b0428421 (diff)
parentb203f8c5dc8cff1b9c9c2073832b248fcad0765a (diff)
fixed conflicts
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+#ifndef _CSENTROPY_H_
+#define _CSENTROPY_H_
+
+#include <vector>
+#include "sparse_vector.h"
+
+namespace training {
+ class CandidateSet;
+
+ class CandidateSetEntropy {
+ public:
+ explicit CandidateSetEntropy(const CandidateSet& cs) : cands_(cs) {}
+ // compute the entropy (expected log likelihood) of a CandidateSet
+ // (optional) the gradient of the entropy with respect to params
+ double operator()(const std::vector<double>& params,
+ SparseVector<double>* g = NULL) const;
+ private:
+ const CandidateSet& cands_;
+ };
+};
+
+#endif