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author | Chris Dyer <cdyer@cs.cmu.edu> | 2012-06-29 18:45:26 -0700 |
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committer | Chris Dyer <cdyer@cs.cmu.edu> | 2012-06-29 18:45:26 -0700 |
commit | 3044d6d1c6d428e8d06c255e3a2d739bcd187679 (patch) | |
tree | 81baa7315011a57ee363f93f0aa3e1e94affe5d1 /training/entropy.h | |
parent | c84ef9590d11819b7f8441a53b1699a912d949e1 (diff) |
add option for entropy optimization
Diffstat (limited to 'training/entropy.h')
-rw-r--r-- | training/entropy.h | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/training/entropy.h b/training/entropy.h new file mode 100644 index 00000000..796589ca --- /dev/null +++ b/training/entropy.h @@ -0,0 +1,22 @@ +#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 |