本文整理了Java中edu.illinois.cs.cogcomp.sl.util.WeightVector.addSparseFeatureVector()方法的一些代码示例，展示了WeightVector.addSparseFeatureVector()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。WeightVector.addSparseFeatureVector()方法的具体详情如下：
包路径：edu.illinois.cs.cogcomp.sl.util.WeightVector
类名称：WeightVector
方法名：addSparseFeatureVector

WeightVector.addSparseFeatureVector介绍

暂无

代码示例

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl

@Deprecated
protected void fillWeightVector(WeightVector w) {
  for(AlphaStruct as: candidateAlphas){			
    w.addSparseFeatureVector(as.alphaFeactureVector, as.alpha);
  }
}
@Deprecated

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl-core

@Deprecated
protected void fillWeightVector(WeightVector w) {
  for(AlphaStruct as: candidateAlphas){			
    w.addSparseFeatureVector(as.alphaFeactureVector, as.alpha);
  }
}
@Deprecated

代码示例来源：origin: edu.illinois.cs.cogcomp/IllinoisSL-core

@Deprecated
protected void fillWeightVector(WeightVector w) {
  for (Pair<float[], FeatureVector> p : alphaFeatureVectorList) {
    float alpha = p.getFirst()[0];
    FeatureVector fv = p.getSecond();            
    w.addSparseFeatureVector(fv, alpha);
  }
}
@Deprecated

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl-core

float new_alpha = Math.max(alpha + step, 0);
alphaSum += (new_alpha - alpha);
wv.addSparseFeatureVector(fv, (new_alpha - alpha));
as.alpha = new_alpha;

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl

float new_alpha = Math.max(alpha + step, 0);
alphaSum += (new_alpha - alpha);
wv.addSparseFeatureVector(fv, (new_alpha - alpha));
as.alpha = new_alpha;

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl-core

/**
 * Performs the update of the weight vector
 * @param gold
 * @param prediction
 * @param w
 * @param avg
 * @param epoch
 * @param count
 */
protected void update(IInstance ins, IStructure gold, IStructure prediction,
    WeightVector w, WeightVector avg, int epoch, int count) {
  IFeatureVector goldFeatures = featureGenerator.getFeatureVector(ins, gold); 
  IFeatureVector predictedFeatures = featureGenerator.getFeatureVector(ins, prediction);
  IFeatureVector update = goldFeatures.difference(predictedFeatures);
  double learningRate = getLearningRate(epoch, count);
  w.addSparseFeatureVector(update, learningRate);
  avg.addSparseFeatureVector(update, count * learningRate);
}
/**

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl

/**
 * Performs the update of the weight vector
 * @param gold
 * @param prediction
 * @param w
 * @param avg
 * @param epoch
 * @param count
 */
protected void update(IInstance ins, IStructure gold, IStructure prediction,
    WeightVector w, WeightVector avg, int epoch, int count) {
  IFeatureVector goldFeatures = featureGenerator.getFeatureVector(ins, gold); 
  IFeatureVector predictedFeatures = featureGenerator.getFeatureVector(ins, prediction);
  IFeatureVector update = goldFeatures.difference(predictedFeatures);
  double learningRate = getLearningRate(epoch, count);
  w.addSparseFeatureVector(update, learningRate);
  avg.addSparseFeatureVector(update, count * learningRate);
}
/**

代码示例来源：origin: edu.illinois.cs.cogcomp/IllinoisSL-core

/**
 * Performs the update of the weight vector
 * @param gold
 * @param prediction
 * @param w
 * @param avg
 * @param epoch
 * @param count
 */
protected void update(IStructure gold, IStructure prediction,
    WeightVector w, WeightVector avg, int epoch, int count) {
  FeatureVector goldFeatures = gold.getFeatureVector();
  FeatureVector predictedFeatures = prediction.getFeatureVector();
  FeatureVector update = FeatureVector.differenceBetweenFeatureVectors(
      goldFeatures, predictedFeatures);
  double learningRate = getLearningRate(epoch, count);
  w.addSparseFeatureVector(update, learningRate);
  avg.addSparseFeatureVector(update, count * learningRate);
}
/**

代码示例来源：origin: edu.illinois.cs.cogcomp/IllinoisSL-core

sum_alpha += (new_alpha - alpha);
long timeStart = System.currentTimeMillis();
wv.addSparseFeatureVector(fv, (new_alpha - alpha));
accumulateTime += System.currentTimeMillis()-timeStart;

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl-core

w.addSparseFeatureVector(update, 2*learningRate*params.C_FOR_STRUCTURE);

代码示例来源：origin: edu.illinois.cs.cogcomp/illinois-sl-core

w.addSparseFeatureVector(update, 2*learningRate*params.C_FOR_STRUCTURE*loss_term);