本文整理汇总了Java中edu.berkeley.nlp.classify.IndexLinearizer类的典型用法代码示例。如果您正苦于以下问题：Java IndexLinearizer类的具体用法？Java IndexLinearizer怎么用？Java IndexLinearizer使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
IndexLinearizer类属于edu.berkeley.nlp.classify包，在下文中一共展示了IndexLinearizer类的2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: ScoreCalculator
import edu.berkeley.nlp.classify.IndexLinearizer; //导入依赖的package包/类
public ScoreCalculator(Encoding<F, L> encoding,
FeatureExtractor<V, F> vertexExtractor,
FeatureExtractor<E, F> edgeExtractor) {
this.encoding = encoding;
this.vertexExtractor = vertexExtractor;
this.edgeExtractor = edgeExtractor;
this.il = new IndexLinearizer(encoding.getNumFeatures(),
encoding.getNumLabels());
}
示例2: CRFObjectiveFunction
import edu.berkeley.nlp.classify.IndexLinearizer; //导入依赖的package包/类
public CRFObjectiveFunction(
List<? extends LabeledInstanceSequence<V, E, L>> trainingData,
Encoding<F, L> encoding, FeatureExtractor<V, F> vertexExtractor,
FeatureExtractor<E, F> edgeExtractor, double sigma) {
this.trainingData = trainingData;
this.encoding = encoding;
this.counts = new Counts<V, E, F, L>(encoding, vertexExtractor,
edgeExtractor);
this.il = new IndexLinearizer(encoding.getNumFeatures(),
encoding.getNumLabels());
this.sigma = sigma;
}