本文整理汇总了Java中cc.mallet.types.AugmentableFeatureVector.getIndices方法的典型用法代码示例。如果您正苦于以下问题：Java AugmentableFeatureVector.getIndices方法的具体用法？Java AugmentableFeatureVector.getIndices怎么用？Java AugmentableFeatureVector.getIndices使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cc.mallet.types.AugmentableFeatureVector的用法示例。
在下文中一共展示了AugmentableFeatureVector.getIndices方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: pipe
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
/**
* Add the token classifier's predictions as features to the instance.
* This method assumes the input instance contains FeatureVectorSequence as data
*/
public Instance pipe(Instance carrier)
{
FeatureVectorSequence fvs = (FeatureVectorSequence) carrier.getData();
InstanceList ilist = convert(carrier, (Noop) m_tokenClassifiers.getInstancePipe());
assert (fvs.size() == ilist.size());
// For passing instances to the token classifier, each instance's data alphabet needs to
// match that used by the token classifier at training time. For the resulting piped
// instance, each instance's data alphabet needs to contain token classifier's prediction
// as features
FeatureVector[] fva = new FeatureVector[fvs.size()];
for (int i = 0; i < ilist.size(); i++) {
Instance inst = ilist.get(i);
Classification c = m_tokenClassifiers.classify(inst, ! m_inProduction);
LabelVector lv = c.getLabelVector();
AugmentableFeatureVector afv1 = (AugmentableFeatureVector) inst.getData();
int[] indices = afv1.getIndices();
AugmentableFeatureVector afv2 = new AugmentableFeatureVector(m_dataAlphabet,
indices, afv1.getValues(), indices.length + m_predRanks2add.length);
for (int j = 0; j < m_predRanks2add.length; j++) {
Label label = lv.getLabelAtRank(m_predRanks2add[j]);
int idx = m_dataAlphabet.lookupIndex("TOK_PRED=" + label.toString() + "[email protected]_RANK_" + m_predRanks2add[j]);
assert(idx >= 0);
afv2.add(idx, 1);
}
fva[i] = afv2;
}
carrier.setData(new FeatureVectorSequence(fva));
return carrier;
}