我有两个特征和权重元素的矩阵。我正在实现一个学习算法。我想更新arraylist的元素(用于表示一个特征样本的向量)。以下是代码。但我的矩阵元素(矢量元素没有)更新。我也把样品溶液也放了。不期望在更新之前和之后的相同值。你能告诉我代码中的缺陷在哪里吗?
for(int i =0 ; i< N ; i++){ //N is a large real number
ArrayList<Double> featureVector = new ArrayList<Double>();
featureVector = FeatureMatrix.get(i);
System.out.println("Before::"+ featureVector);
if(testList.contains(i)){
for(int j=0 ; j< testList.size(); j++){
if(i == testList.get(j)){
int indexInTestList= j;
List<Double> subListNextCandidate ;
subListNextCandidate = weightVectorNextCandidate.subList((10*indexIntTestList),((10)*(indexInTestList+1))); //clips a portion of member from long list of members
List<Double> approxWeight = new ArrayList<Double>();
approxWeight = getApproxWeight(FeatureVector, indexInTestList, FeatureMatrix,WeightMatrix, bias); //approxWeight is a vector of same dimension as of featureVector
for(int l=0 ; l< 10;l++){
double Update = featureVector.get(l)+ Rate*((subListCandidate.get(l)-approxWeight.get(l))-(lambda*featureVector.get(l)*(1/M)));//M is large real number
featureVector.set(l,Update);
}
}
}
}
else{
for(int l=0 ; l< 10;l++){
double Update = featureVector.get(l) -Rate*(lambda*featureVector.get(l)*(1/M));
featureVector.set(l, Update);
}
}
System.out.println("After:::"+ FeatureMatrix.get(i) );
}
示例输出为::
Before::[0.04539928251182193, -0.16233604402485394, 0.905018369795912, -1.2817141994528614, 0.7065420460225843, -0.8946090188977665, -1.74892020689701, -2.1539901172158187, 1.8229765478806985, -1.8109945435256574]
After:::[0.04539928251182193, -0.16233604402485394, 0.905018369795912, -1.2817141994528614, 0.7065420460225843, -0.8946090188977665, -1.74892020689701, -2.1539901172158187, 1.8229765478806985, -1.8109945435256574]
答案 0 :(得分:2)
我只能想到为什么会发生这种情况的几个合理原因:
我强烈建议使用断点来调试它。至少,将System.out.println放在其中调用featureVector.set()以确保它被调用。我猜它从未被调用过,因为条件永远不会成真。
使用断点,它将是一个救生员......
答案 1 :(得分:0)
testList.get(j)
的返回类型是什么?你将整数与我怀疑是一个整数进行比较。这不太可能顺利......