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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-06-24 15:52:30 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-06-24 15:52:30 -0400
commit535cfe8da7c6107d8415afd1381d59f2a6b9844f (patch)
tree7c45e2bef640adbe2e9e835d62c6a0d110d7cabf /training/risk.h
parent6a2bbfa9b28f8be2189744beb89a975bc3da128f (diff)
compute risk / gradient of risk
Diffstat (limited to 'training/risk.h')
-rw-r--r--training/risk.h25
1 files changed, 25 insertions, 0 deletions
diff --git a/training/risk.h b/training/risk.h
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+#ifndef _RISK_H_
+#define _RISK_H_
+
+#include <vector>
+#include "sparse_vector.h"
+class EvaluationMetric;
+
+namespace training {
+ class CandidateSet;
+
+ class CandidateSetRisk {
+ 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