本文整理汇总了Java中cc.mallet.types.InstanceList.getInstanceWeight方法的典型用法代码示例。如果您正苦于以下问题：Java InstanceList.getInstanceWeight方法的具体用法？Java InstanceList.getInstanceWeight怎么用？Java InstanceList.getInstanceWeight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.InstanceList的用法示例。
在下文中一共展示了InstanceList.getInstanceWeight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: gatherConstraints
import cc.mallet.types.InstanceList; //导入方法依赖的package包/类
/**
* Set the constraints by running forward-backward with the <i>output label
* sequence provided</i>, thus restricting it to only those paths that agree with
* the label sequence.
*/
protected void gatherConstraints(InstanceList ilist) {
logger.info("Gathering constraints...");
assert (constraints.structureMatches(crf.parameters));
constraints.zero();
for (Instance instance : ilist) {
FeatureVectorSequence input = (FeatureVectorSequence) instance.getData();
FeatureSequence output = (FeatureSequence) instance.getTarget();
double instanceWeight = ilist.getInstanceWeight(instance);
Transducer.Incrementor incrementor =
instanceWeight == 1.0 ? constraints.new Incrementor()
: constraints.new WeightedIncrementor(instanceWeight);
new SumLatticeDefault (this.crf, input, output, incrementor);
}
constraints.assertNotNaNOrInfinite();
}
开发者ID:kostagiolasn，项目名称:NucleosomePatternClassifier，代码行数:22，代码来源:CRFOptimizableByBatchLabelLikelihood.java
示例2: gatherConstraints
import cc.mallet.types.InstanceList; //导入方法依赖的package包/类
protected void gatherConstraints (InstanceList ilist)
{
// Set the constraints by running forward-backward with the *output
// label sequence provided*, thus restricting it to only those
// paths that agree with the label sequence.
// Zero the constraints[]
// Reset constraints[] to zero before we fill them again
assert (constraints.structureMatches(crf.parameters));
constraints.zero();
for (Instance instance : ilist) {
FeatureVectorSequence input = (FeatureVectorSequence) instance.getData();
FeatureSequence output = (FeatureSequence) instance.getTarget();
double instanceWeight = ilist.getInstanceWeight(instance);
//System.out.println ("Constraint-gathering on instance "+i+" of "+ilist.size());
Transducer.Incrementor incrementor = instanceWeight == 1.0 ? constraints.new Incrementor() : constraints.new WeightedIncrementor(instanceWeight);
new SumLatticeDefault (this.crf, input, output, incrementor);
}
// System.out.println ("testing Value and Gradient");
// TestOptimizable.testValueAndGradientCurrentParameters (this);
}
开发者ID:kostagiolasn，项目名称:NucleosomePatternClassifier，代码行数:22，代码来源:CRFOptimizableByLabelLikelihood.java