本文整理汇总了Java中cc.mallet.types.FeatureInducer类的典型用法代码示例。如果您正苦于以下问题：Java FeatureInducer类的具体用法？Java FeatureInducer怎么用？Java FeatureInducer使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
FeatureInducer类属于cc.mallet.types包，在下文中一共展示了FeatureInducer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: predict
import cc.mallet.types.FeatureInducer; //导入依赖的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: readObject
import cc.mallet.types.FeatureInducer; //导入依赖的package包/类
@SuppressWarnings("unchecked")
private void readObject (ObjectInputStream in) throws IOException, ClassNotFoundException {
in.readInt ();
inputAlphabet = (Alphabet) in.readObject ();
outputAlphabet = (Alphabet) in.readObject ();
states = (ArrayList<State>) in.readObject ();
initialStates = (ArrayList<State>) in.readObject ();
name2state = (HashMap) in.readObject ();
parameters = (Factors) in.readObject ();
globalFeatureSelection = (FeatureSelection) in.readObject ();
featureSelections = (FeatureSelection[]) in.readObject ();
featureInducers = (ArrayList<FeatureInducer>) in.readObject ();
weightsValueChangeStamp = in.readInt ();
weightsStructureChangeStamp = in.readInt ();
cachedNumParametersStamp = in.readInt ();
numParameters = in.readInt ();
}
示例3: induceFeaturesFor
import cc.mallet.types.FeatureInducer; //导入依赖的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);
}
}