mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-09-11 11:25:40 +03:00
70 lines
1.7 KiB
C++
70 lines
1.7 KiB
C++
/*
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* MiraFeatureVector.h
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* kbmira - k-best Batch MIRA
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*
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* An alternative to the existing SparseVector
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* and FeatureDataItem combo. Should be as memory
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* efficient, and a little more time efficient,
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* and should save me from constantly hacking
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* SparseVector
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*/
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#ifndef MERT_MIRA_FEATURE_VECTOR_H
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#define MERT_MIRA_FEATURE_VECTOR_H
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#include <vector>
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#include <iostream>
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#include "FeatureDataIterator.h"
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namespace MosesTuning
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{
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typedef FeatureStatsType ValType;
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class MiraFeatureVector
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{
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public:
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MiraFeatureVector() {}
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MiraFeatureVector(const FeatureDataItem& vec);
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//Assumes that features in sparse with id < num_dense are dense features
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MiraFeatureVector(const SparseVector& sparse, size_t num_dense);
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MiraFeatureVector(const MiraFeatureVector& other);
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MiraFeatureVector(const std::vector<ValType>& dense,
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const std::vector<std::size_t>& sparseFeats,
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const std::vector<ValType>& sparseVals);
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ValType val(std::size_t index) const;
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std::size_t feat(std::size_t index) const;
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std::size_t size() const;
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ValType sqrNorm() const;
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friend MiraFeatureVector operator-(const MiraFeatureVector& a,
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const MiraFeatureVector& b);
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friend std::ostream& operator<<(std::ostream& o, const MiraFeatureVector& e);
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friend bool operator==(const MiraFeatureVector& a,const MiraFeatureVector& b);
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private:
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//Ignore any sparse features with id < ignoreLimit
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void InitSparse(const SparseVector& sparse, size_t ignoreLimit = 0);
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std::vector<ValType> m_dense;
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std::vector<std::size_t> m_sparseFeats;
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std::vector<ValType> m_sparseVals;
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};
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} // namespace
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#endif // MERT_FEATURE_VECTOR_H
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// --Emacs trickery--
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// Local Variables:
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// mode:c++
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// c-basic-offset:2
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// End:
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