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author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
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committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2012-11-18 13:35:42 -0500 |
commit | 8aa29810bb77611cc20b7a384897ff6703783ea1 (patch) | |
tree | 8635daa8fffb3f2cd90e30b41e27f4f9e0909447 /training/utils/risk.h | |
parent | fbdacabc85bea65d735f2cb7f92b98e08ce72d04 (diff) |
major restructure of the training code
Diffstat (limited to 'training/utils/risk.h')
-rw-r--r-- | training/utils/risk.h | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/training/utils/risk.h b/training/utils/risk.h new file mode 100644 index 00000000..2e8db0fb --- /dev/null +++ b/training/utils/risk.h @@ -0,0 +1,26 @@ +#ifndef _RISK_H_ +#define _RISK_H_ + +#include <vector> +#include "sparse_vector.h" +class EvaluationMetric; + +namespace training { + class CandidateSet; + + class CandidateSetRisk { + public: + explicit CandidateSetRisk(const CandidateSet& cs, const EvaluationMetric& metric) : + cands_(cs), + metric_(metric) {} + // compute the risk (expected loss) of a CandidateSet + // (optional) the gradient of the risk with respect to params + double operator()(const std::vector<double>& params, + SparseVector<double>* g = NULL) const; + private: + const CandidateSet& cands_; + const EvaluationMetric& metric_; + }; +}; + +#endif |