本文整理汇总了Java中edu.berkeley.nlp.discPCFG.Linearizer类的典型用法代码示例。如果您正苦于以下问题：Java Linearizer类的具体用法？Java Linearizer怎么用？Java Linearizer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。
Linearizer类属于edu.berkeley.nlp.discPCFG包，在下文中一共展示了Linearizer类的3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: incrementExpectedGoldCounts
import edu.berkeley.nlp.discPCFG.Linearizer; //导入依赖的package包/类
public void incrementExpectedGoldCounts(Linearizer linearizer,
double[] probs, Tree<StateSet> tree) {
double tree_score = tree.getLabel().getIScore(0);
int tree_scale = tree.getLabel().getIScale();
incrementExpectedGoldCounts(linearizer, probs, tree, tree_score,
tree_scale);
}
示例2: newParsingObjectiveFunction
import edu.berkeley.nlp.discPCFG.Linearizer; //导入依赖的package包/类
public ParsingObjectiveFunction newParsingObjectiveFunction(
Options opts, String outFileName, Linearizer linearizer,
StateSetTreeList trainStateSetTrees, int regularize,
double newSigma) {
return ConditionalTrainer.newParsingObjectiveFunction(opts,
outFileName, linearizer, trainStateSetTrees, regularize,
newSigma);
}
示例3: incrementExpectedGoldCounts
import edu.berkeley.nlp.discPCFG.Linearizer; //导入依赖的package包/类
@Override
public void incrementExpectedGoldCounts(Linearizer linearizer,
double[] probs, Tree<StateSet> tree) {
if (ConditionalTrainer.Options.lockGrammar)
return;
incrementExpectedGoldCounts(linearizer, probs, tree, tree.getLabel()
.getIScore(0), tree.getLabel().getIScale());
}