Java TObjectDoubleHashMap.size方法代码示例

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public LRIdentificationModelSingleNode(TObjectDoubleHashMap<String> paramList, ArrayList<String> frameLines, ArrayList<String> parseLines, String reg, double l, String initParamFile, WordNetRelations mWNR,THashMap<String,THashSet<String>> frameMap, String modelFile, String trainOrTest)
{
	mParamList = paramList;
	initializeParameterIndexes();
	this.mFrameLines = frameLines;
	mNumExamples = mFrameLines.size();
	mFrameMap = frameMap;
	initializeParameters();
	totalNumberOfParams=paramList.size();
	this.mParseLines = parseLines;
	mReg=reg;
	mLambda=l/mNumExamples;
	mInitParamFile=initParamFile;
	this.mWNR=mWNR;
	resetAllGradients();
	mFeatureCache = new THashMap<String,THashMap<String,Double>>();
	mModelFile=modelFile;
	mLookupChart = new TIntObjectHashMap<LogFormula>();
	mTrainOrTest = ""+trainOrTest;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public FrameIdentificationDecoder(TObjectDoubleHashMap<String> paramList, 
								  String reg, 
								  double l, 
								  WordNetRelations mwnr, 
								  THashMap<String, THashSet<String>> frameMap, 
								  THashMap<String, THashSet<String>> wnRelationCache)
{
	super(paramList,reg,l,mwnr,frameMap);
	initializeParameterIndexes();
	this.mParamList=paramList;
	mReg=reg;
	mLambda=l;
	mWNR=mwnr;
	mFrameMap=frameMap;
	totalNumberOfParams=paramList.size();
	initializeParameters();
	mLookupChart = new TIntObjectHashMap<LogFormula>();
	mWnRelationsCache = wnRelationCache;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public static TObjectDoubleHashMap<String> add(TObjectDoubleHashMap<String> vector, 
		TObjectDoubleHashMap<String> oldVector, int count) {
	TObjectDoubleHashMap<String> res = new TObjectDoubleHashMap<String>();
	if (oldVector == null) {
		oldVector = new TObjectDoubleHashMap<String>();
	}
	String[] vKeys = new String[vector.size()];
	vector.keys(vKeys);
	for (int i = 0; i < vKeys.length; i++) {
		double value = vector.get(vKeys[i]) / (double)count;
		if (oldVector.contains(vKeys[i])) {
			res.put(vKeys[i], value + oldVector.get(vKeys[i]));
			oldVector.remove(vKeys[i]);
		} else {
			res.put(vKeys[i], value);
		}
	}			
	String[] oldKeys = new String[oldVector.size()];
	oldVector.keys(oldKeys);
	for (int i = 0; i < oldKeys.length; i++) {
		res.put(oldKeys[i], oldVector.get(oldKeys[i]));
	}
	return res;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public FastFrameIdentifier(TObjectDoubleHashMap<String> paramList, 
								  String reg, 
								  double l, 
								  THashMap<String, THashSet<String>> frameMap, 
								  THashMap<String, THashSet<String>> wnRelationCache,
								  THashMap<String,THashSet<String>> hvCorrespondenceMap,
								  Map<String, Set<String>> relatedWordsForWord,
								  Map<String, Map<String, Set<String>>> revisedRelationsMap,
								  Map<String, String> hvLemmas)
{
	super(paramList,reg,l,null,frameMap);
	initializeParameterIndexes();
	this.mParamList=paramList;
	mReg=reg;
	mLambda=l;
	mFrameMap=frameMap;
	totalNumberOfParams=paramList.size();
	initializeParameters();
	mLookupChart = new TIntObjectHashMap<LogFormula>();
	mHvCorrespondenceMap = hvCorrespondenceMap;
	mRelatedWordsForWord = relatedWordsForWord;
	mRevisedRelationsMap = revisedRelationsMap;
	mHVLemmas = hvLemmas;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public THashMap<String,LDouble> getAllGradients(TObjectDoubleHashMap<String> paramMap)
{	
	THashMap<String,LDouble> gradientMap = new THashMap<String,LDouble>();
	String[] keys = new String[paramMap.size()];
	paramMap.keys(keys);
	int len = keys.length;
	for(int i = 0; i < len; i ++)
	{
		int paramIndex = localA.get(keys[i]);
		LDouble gradient = G[paramIndex];
		gradientMap.put(keys[i], gradient);
	}		
	return gradientMap;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public LRIdentificationModelHadoop(TObjectDoubleHashMap<String> paramList, String reg, double l, WordNetRelations mwnr, THashMap<String, THashSet<String>> frameMap, String trainOrTest, THashMap<String, THashSet<String>> wnRelationCache)
{
	super(paramList,reg,l,mwnr,frameMap);
	initializeParameterIndexes();
	this.mParamList=paramList;
	mReg=reg;
	mLambda=l;
	mWNR=mwnr;
	mFrameMap=frameMap;
	totalNumberOfParams=paramList.size();
	initializeParameters();
	mLookupChart = new TIntObjectHashMap<LogFormula>();
	mTrainOrTest=""+trainOrTest;
	mWnRelationsCache = wnRelationCache;
}
 

import gnu.trove.TObjectDoubleHashMap; //导入方法依赖的package包/类
public static void printFinalMap(THashMap<String, TObjectDoubleHashMap<String>> finalMap, String outFile) {
	Set<String> keySet = finalMap.keySet();
	String[] arr = new String[keySet.size()];
	keySet.toArray(arr);
	Arrays.sort(arr);
	ArrayList<String> finalLines = new ArrayList<String>();
	Comparator<Pair<String, Double>> c = new Comparator<Pair<String, Double>> () {
		public int compare(Pair<String, Double> o1, Pair<String, Double> o2) {
			if (o1.getSecond() > o2.getSecond()) 
				return -1;
			else if (o1.getSecond() == o2.getSecond()) {
				return 0;
			} else 
				return 1;
		}			
	};
	for (String unit: arr) {
		String line = unit + "\t";
		TObjectDoubleHashMap<String> map = finalMap.get(unit);
		String[] keys = new String[map.size()];
		map.keys(keys);
		Pair<String, Double>[] pArray = new Pair[map.size()];
		for (int i = 0; i < keys.length; i++) {
			pArray[i]  = new Pair<String, Double>(keys[i], map.get(keys[i]));
		}
		Arrays.sort(pArray, c);
		for (int i = 0; i < keys.length; i++) {
			line += pArray[i].getFirst() + "\t" + pArray[i].getSecond() + "\t";
		}
		line = line.trim();
		finalLines.add(line);
	}
	ParsePreparation.writeSentencesToTempFile(outFile, finalLines);
}