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-rw-r--r--training/entropy.h22
1 files changed, 0 insertions, 22 deletions
diff --git a/training/entropy.h b/training/entropy.h
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--- a/training/entropy.h
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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