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author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-06-26 14:47:46 +0200 |
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committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2012-06-26 14:47:46 +0200 |
commit | 55cafb1189cac406aa0e5c4fc7d8fd57da69c9a4 (patch) | |
tree | ad24c01bcda6f835432cd08798dbb52e24c71961 /training/risk.h | |
parent | ea2c5fb04f69844fe81101283deaaf69a63ce865 (diff) | |
parent | 9c1dd817177331baeea66441861682fa29cf0262 (diff) |
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'training/risk.h')
-rw-r--r-- | training/risk.h | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/training/risk.h b/training/risk.h new file mode 100644 index 00000000..2e8db0fb --- /dev/null +++ b/training/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 |