Examples of FeatureVector

cc.mallet.types.FeatureVector

A subset of an {@link cc.mallet.types.Alphabet} in which each element of the subset has an associated value.The subset is represented as a {@link cc.mallet.types.SparseVector}

A SparseVector represents only the non-zero locations of a vector. In the case of a FeatureVector, a location represents the index of an entry in the Alphabet that is contained in the FeatureVector.

To loop over the elements of a feature vector, one loops over the consecutive integers between 0 and the number of locations in the feature vector. From these locations one can cheaply obtain the index of the entry in the underlying Alphabet, the entry itself, and the value in this feature vector associated the entry.

A SparseVector (or FeatureVector) can be sparse or dense depending on whether or not an array if indices is specified at construction time. If the FeatureVector is dense, the mapping from location to index is the identity mapping.

The associated value of an element in a SparseVector (or FeatureVector) can be a double or binary (0.0 or 1.0), depending on whether an array of doubles is specified at contruction time. @see SparseVector @see Alphabet @author Andrew McCallum mccallum@cs.umass.edu

edu.gslis.textrepresentation.FeatureVector

edu.illinois.lis.document.FeatureVector

Simple container mapping term->count pairs grabbed from an input text. @author Miles Efron

edu.stanford.nlp.sempre.FeatureVector

A FeatureVector represents a mapping from feature (string) to value (double). We enforce the convention that each feature is (domain, name), so that the key space isn't a free-for-all. @author Percy Liang

org.maltparserx.core.feature.FeatureVector

@author Johan Hall

    featureModel.update();
    final SingleDecision singleDecision = ((MultipleDecision)decision).getSingleDecision(decisionIndex);
    if (instanceModel == null) {
      initInstanceModel(singleDecision.getTableContainer().getTableContainerName());
    }
    FeatureVector fv = instanceModel.predictExtract(singleDecision);
    if (decisionIndex+1 < decision.numberOfDecisions()) {
      if (singleDecision.continueWithNextDecision()) {
        if (children == null) {
          children = new HashMap<Integer,DecisionModel>();
        }

      throw new GuideException("The decision model class '"+decisionModelClass.getName()+"' cannot be initialized. ", e);
    }
  }
  
  private void initInstanceModel(String subModelName) throws MaltChainedException {
    FeatureVector fv = featureModel.getFeatureVector(branchedDecisionSymbols+"."+subModelName);
    if (fv == null) {
      fv = featureModel.getFeatureVector(subModelName);
    }
    if (fv == null) {
      fv = featureModel.getMainFeatureVector();

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Examples of FeatureVector

Examples of org.maltparserx.core.feature.FeatureVector

Examples of org.maltparserx.core.feature.FeatureVector