本文整理汇总了Java中cc.mallet.types.FeatureSelection.nextSelectedIndex方法的典型用法代码示例。如果您正苦于以下问题：Java FeatureSelection.nextSelectedIndex方法的具体用法？Java FeatureSelection.nextSelectedIndex怎么用？Java FeatureSelection.nextSelectedIndex使用的例子？那么恭喜您, 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.FeatureSelection的用法示例。
在下文中一共展示了FeatureSelection.nextSelectedIndex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: setWeightsDimensionDensely
import cc.mallet.types.FeatureSelection; //导入方法依赖的package包/类
public void setWeightsDimensionDensely ()
{
weightsStructureChanged();
SparseVector[] newWeights = new SparseVector [parameters.weights.length];
int max = inputAlphabet.size();
int numWeights = 0;
logger.info ("CRF using dense weights, num input features = "+max);
for (int i = 0; i < parameters.weights.length; i++) {
int nfeatures;
if (featureSelections[i] == null) {
nfeatures = max;
newWeights [i] = new SparseVector (null, new double [max],
max, max, false, false, false);
} else {
// Respect the featureSelection
FeatureSelection fs = featureSelections[i];
nfeatures = fs.getBitSet ().cardinality ();
int[] idxs = new int [nfeatures];
int j = 0, thisIdx = -1;
while ((thisIdx = fs.nextSelectedIndex (thisIdx + 1)) >= 0) {
idxs[j++] = thisIdx;
}
newWeights[i] = new IndexedSparseVector (idxs, new double [nfeatures], nfeatures, nfeatures, false, false, false);
}
newWeights [i].plusEqualsSparse (parameters.weights [i]);
numWeights += (nfeatures + 1);
}
logger.info("Number of weights = "+numWeights);
parameters.weights = newWeights;
}