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Java AugmentableFeatureVector.value方法代码示例

本文整理汇总了Java中cc.mallet.types.AugmentableFeatureVector.value方法的典型用法代码示例。如果您正苦于以下问题:Java AugmentableFeatureVector.value方法的具体用法?Java AugmentableFeatureVector.value怎么用?Java AugmentableFeatureVector.value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cc.mallet.types.AugmentableFeatureVector的用法示例。


在下文中一共展示了AugmentableFeatureVector.value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: induceFeatures

import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public void induceFeatures (AugmentableFeatureVector afv, 
														FeatureSelection featuresAlreadyThere,
														FeatureSelection[] perClassFeaturesAlreadyThere,
														FeatureSelection newFeatureSelection,
														FeatureSelection[] perClassNewFeatureSelection,
														boolean withInteriorNodes,
														boolean addPerClassFeatures,
														double classEntropyThreshold)
{
	if (!isRoot() && (isLeaf() || withInteriorNodes) && labelEntropy < classEntropyThreshold) {
		String name = getName();
		logger.info("Trying to add feature "+name);
		//int conjunctionIndex = afv.getAlphabet().lookupIndex (name, false);
		if (addPerClassFeatures) {
			int classIndex = labeling.getBestIndex();
			if (!perClassFeaturesAlreadyThere[classIndex].contains (name)) {
				afv.add (name, 1.0);
				perClassNewFeatureSelection[classIndex].add (name);
			}
		} else {
			throw new UnsupportedOperationException ("Not yet implemented.");
		}
	}
	boolean featurePresent = afv.value (featureIndex) != 0;
	if (child0 != null && !featurePresent)
		child0.induceFeatures (afv, featuresAlreadyThere, perClassFeaturesAlreadyThere,
													 newFeatureSelection, perClassNewFeatureSelection,
													 withInteriorNodes, addPerClassFeatures, classEntropyThreshold);
	if (child1 != null && featurePresent)
		child1.induceFeatures (afv, featuresAlreadyThere, perClassFeaturesAlreadyThere,
													 newFeatureSelection, perClassNewFeatureSelection,
													 withInteriorNodes, addPerClassFeatures, classEntropyThreshold);
}
 
开发者ID:kostagiolasn,项目名称:NucleosomePatternClassifier,代码行数:34,代码来源:DecisionTree.java


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