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authorAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
committerAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
commit3d8d656fa7911524e0e6885647173474524e0784 (patch)
tree81b1ee2fcb67980376d03f0aa48e42e53abff222 /training/utils/risk.h
parentbe7f57fdd484e063775d7abf083b9fa4c403b610 (diff)
parent96fedabebafe7a38a6d5928be8fff767e411d705 (diff)
fixed conflicts
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diff --git a/training/utils/risk.h b/training/utils/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 {
+ 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