本文整理汇总了Java中cc.mallet.types.FeatureInducer.induceFeaturesFor方法的典型用法代码示例。如果您正苦于以下问题：Java FeatureInducer.induceFeaturesFor方法的具体用法？Java FeatureInducer.induceFeaturesFor怎么用？Java FeatureInducer.induceFeaturesFor使用的例子？那么恭喜您, 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.FeatureInducer的用法示例。
在下文中一共展示了FeatureInducer.induceFeaturesFor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: predict
import cc.mallet.types.FeatureInducer; //导入方法依赖的package包/类
/** This method is deprecated. */
// But it is here as a reminder to do something about induceFeaturesFor(). */
@Deprecated
public Sequence[] predict (InstanceList testing) {
testing.setFeatureSelection(this.globalFeatureSelection);
for (int i = 0; i < featureInducers.size(); i++) {
FeatureInducer klfi = (FeatureInducer)featureInducers.get(i);
klfi.induceFeaturesFor (testing, false, false);
}
Sequence[] ret = new Sequence[testing.size()];
for (int i = 0; i < testing.size(); i++) {
Instance instance = testing.get(i);
Sequence input = (Sequence) instance.getData();
Sequence trueOutput = (Sequence) instance.getTarget();
assert (input.size() == trueOutput.size());
Sequence predOutput = new MaxLatticeDefault(this, input).bestOutputSequence();
assert (predOutput.size() == trueOutput.size());
ret[i] = predOutput;
}
return ret;
}
示例2: induceFeaturesFor
import cc.mallet.types.FeatureInducer; //导入方法依赖的package包/类
/** When the CRF has done feature induction, these new feature conjunctions must be
* created in the test or validation data in order for them to take effect. */
public void induceFeaturesFor (InstanceList instances) {
instances.setFeatureSelection(this.globalFeatureSelection);
for (int i = 0; i < featureInducers.size(); i++) {
FeatureInducer klfi = featureInducers.get(i);
klfi.induceFeaturesFor (instances, false, false);
}
}