I am starting the improvement of Minimum Error Training scritps

git-svn-id: https://mosesdecoder.svn.sourceforge.net/svnroot/mosesdecoder/trunk@1632 1f5c12ca-751b-0410-a591-d2e778427230

1 files changed, 63 insertions, 0 deletions

diff --git a/mert/FeatureArray.h b/mert/FeatureArray.h
new file mode 100644
index 000000000..269ab6eeb
--- /dev/null
+++ b/mert/FeatureArray.h
@@ -0,0 +1,63 @@
+/*
+ *  FeatureArray.h
+ *  met - Minimum Error Training
+ *
+ *  Created by Nicola Bertoldi on 13/05/08.
+ *
+ */
+
+#ifndef FEATURE_ARRAY_H
+#define FEATURE_ARRAY_H
+
+#define FEATURES_BEGIN "FEATURES_BEGIN_0"
+#define FEATURES_END "FEATURES_END_0"
+
+using namespace std;
+
+#include <limits>
+#include <vector>
+#include <iostream>
+#include <fstream>
+
+#include "Util.h"
+#include "FeatureStats.h"
+
+class FeatureArray
+{
+protected:
+	vector<FeatureStats> array_;
+	
+private:
+	char databuf_[BUFSIZ];
+	size_t bufLen_;
+	size_t idx; // idx to identify the utterance 
+	
+public:
+	FeatureArray();
+	
+	~FeatureArray(){};
+		
+	inline void clear() { array_.clear(); }
+	
+	inline size_t getIndex(){ return idx; }
+	inline void setIndex(size_t value){ idx=value; }
+
+	inline FeatureStats get(int i){ return array_.at(i); }
+	void add(FeatureStats e){ array_.push_back(e); }
+	
+	inline size_t size(){ return array_.size(); }
+	
+	inline size_t memsize(){ return bufLen_; }
+	
+
+	void savetxt(const std::string &file);
+	void savetxt(ofstream& outFile);
+	inline void savetxt(){ savetxt("/dev/stdout"); }
+
+	void loadtxt(ifstream& inFile);
+	void loadtxt(const std::string &file);
+
+};
+
+
+#endif
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