List of induceFeaturesFor() Examples

Examples of induceFeaturesFor()

cc.mallet.types.FeatureInducer.induceFeaturesFor()

Examples of cc.mallet.types.FeatureInducer.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();

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Examples of cc.mallet.types.FeatureInducer.induceFeaturesFor()

   * 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);
    }
  }


  // TODO Put support to Optimizable here, including getValue(InstanceList)??

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Examples of cc.mallet.types.FeatureInducer.induceFeaturesFor()

              numFeaturesPerFeatureInduction,
              2*numFeaturesPerFeatureInduction,
              2*numFeaturesPerFeatureInduction);
        crf.featureInducers.add(klfi);
        // Note that this adds features globally, but not on a per-transition basis
        klfi.induceFeaturesFor (trainingData, false, false);
        if (testingData != null) klfi.induceFeaturesFor (testingData, false, false);
        logger.info ("CRF4 FeatureSelection now includes "+crf.globalFeatureSelection.cardinality()+" features");
        klfi = null;
      }
      // This is done in CRF4.train() anyway

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Examples of cc.mallet.types.FeatureInducer.induceFeaturesFor()

              2*numFeaturesPerFeatureInduction,
              2*numFeaturesPerFeatureInduction);
        crf.featureInducers.add(klfi);
        // Note that this adds features globally, but not on a per-transition basis
        klfi.induceFeaturesFor (trainingData, false, false);
        if (testingData != null) klfi.induceFeaturesFor (testingData, false, false);
        logger.info ("CRF4 FeatureSelection now includes "+crf.globalFeatureSelection.cardinality()+" features");
        klfi = null;
      }
      // This is done in CRF4.train() anyway
      //this.setWeightsDimensionAsIn (trainingData);

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Examples of cc.mallet.types.FeatureInducer.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();

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Examples of cc.mallet.types.FeatureInducer.induceFeaturesFor()

   * 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);
    }
  }


  // TODO Put support to Optimizable here, including getValue(InstanceList)??

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