本文整理匯總了Java中edu.berkeley.nlp.classify.IndexLinearizer類的典型用法代碼示例。如果您正苦於以下問題：Java IndexLinearizer類的具體用法？Java IndexLinearizer怎麽用？Java IndexLinearizer使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
IndexLinearizer類屬於edu.berkeley.nlp.classify包，在下文中一共展示了IndexLinearizer類的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: ScoreCalculator
import edu.berkeley.nlp.classify.IndexLinearizer; //導入依賴的package包/類
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; //導入依賴的package包/類
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;
}