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authorChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2012-11-18 13:35:42 -0500
committerChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2012-11-18 13:35:42 -0500
commit8aa29810bb77611cc20b7a384897ff6703783ea1 (patch)
tree8635daa8fffb3f2cd90e30b41e27f4f9e0909447 /training/risk.h
parentfbdacabc85bea65d735f2cb7f92b98e08ce72d04 (diff)
major restructure of the training code
Diffstat (limited to 'training/risk.h')
-rw-r--r--training/risk.h26
1 files changed, 0 insertions, 26 deletions
diff --git a/training/risk.h b/training/risk.h
deleted file mode 100644
index 2e8db0fb..00000000
--- a/training/risk.h
+++ /dev/null
@@ -1,26 +0,0 @@
-#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