本文整理汇总了Java中cc.mallet.types.Instance.setProperty方法的典型用法代码示例。如果您正苦于以下问题：Java Instance.setProperty方法的具体用法？Java Instance.setProperty怎么用？Java Instance.setProperty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类cc.mallet.types.Instance的用法示例。
在下文中一共展示了Instance.setProperty方法的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: add
import cc.mallet.types.Instance; //导入方法依赖的package包/类
/**
* Add instances. The exact way of how the target is created to the instances depends on which
* parameters are given and which are null. The parameter sequenceAS must always be null for this
* corpus representation since this corpus representation is not usable for sequence tagging
* algorithms If the parameter classAS is non-null then instances for a sequence tagging task are
* created, in that case targetFeatureName must be null. If targetFeatureName is non-null then
* instances for a regression or classification problem are created (depending on targetType) and
* classAS must be null. if the parameter nameFeatureName is non-null, then a Mallet instance name
* is added from the source document and annotation.
*
* @param instancesAS
* @param inputAS
* @param nameFeatureName
*/
@Override
public void add(AnnotationSet instancesAS, AnnotationSet sequenceAS, AnnotationSet inputAS, AnnotationSet classAS, String targetFeatureName, TargetType targetType, String instanceWeightFeature, String nameFeatureName, SeqEncoder seqEncoder) {
if(sequenceAS != null) {
throw new GateRuntimeException("LF invalid call to CorpusRepresentationMallet.add: sequenceAS must be null "+
" for document "+inputAS.getDocument().getName());
}
List<Annotation> instanceAnnotations = instancesAS.inDocumentOrder();
for (Annotation instanceAnnotation : instanceAnnotations) {
Instance inst = extractIndependentFeaturesHelper(instanceAnnotation, inputAS, featureInfo, pipe);
if (classAS != null) {
// extract the target as required for sequence tagging
FeatureExtraction.extractClassForSeqTagging(inst, pipe.getTargetAlphabet(), classAS, instanceAnnotation, seqEncoder);
} else {
if(targetType == TargetType.NOMINAL) {
FeatureExtraction.extractClassTarget(inst, pipe.getTargetAlphabet(), targetFeatureName, instanceAnnotation, inputAS);
} else if(targetType == TargetType.NUMERIC) {
FeatureExtraction.extractNumericTarget(inst, targetFeatureName, instanceAnnotation, inputAS);
}
}
// if a nameFeature is specified, add the name informatin to the instance
if(nameFeatureName != null) {
FeatureExtraction.extractName(inst, instanceAnnotation, inputAS.getDocument());
}
if(instanceWeightFeature != null && !instanceWeightFeature.isEmpty()) {
// If the instanceWeightFeature is not specified we do not set any weight, but if it is
// specified then we either try to convert the value to double or use 1.0.
double score = LFUtils.anyToDoubleOrElse(instanceAnnotation.getFeatures().get(instanceWeightFeature), 1.0);
inst.setProperty("instanceWeight", score);
}
if(!FeatureExtraction.ignoreInstanceWithMV(inst)) {
instances.add(inst);
}
}
}
示例2: pipe
import cc.mallet.types.Instance; //导入方法依赖的package包/类
public Instance pipe (Instance carrier)
{
Tokenization tok = (Tokenization) carrier.getData ();
carrier.setProperty ("TOKENIZATION", tok);
return carrier;
}