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author | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
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committer | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
commit | 5b8253e0e1f1393a509fb9975ba8c1347af758ed (patch) | |
tree | 1790470b1d07a0b4973ebce19192e896566ea60b /training/utils/risk.h | |
parent | 2389a5a8a43dda87c355579838559515b0428421 (diff) | |
parent | b203f8c5dc8cff1b9c9c2073832b248fcad0765a (diff) |
fixed conflicts
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 |