Examples of cc.mallet.classify.MaxEnt

cc.mallet.classify.MaxEnt
Maximum Entropy (AKA Multivariate Logistic Regression) classifier. @author Andrew McCallum mccallum@cs.umass.edu

        }


        InstanceList parameterInstances = new InstanceList(parameterPipe);


        if (dmrParameters == null) {
            dmrParameters = new MaxEnt(parameterPipe, new double[numFeatures * numTopics]);
        }
        
        for (int doc=0; doc < data.size(); doc++) {
            
            if (data.get(doc).instance.getTarget() == null) {

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      this.defaultFeatureIndex = classifier.getDefaultFeatureIndex();
      assert (initialClassifier.getInstancePipe() == instances.getPipe());
    }
    else if (this.classifier == null) {
      this.classifier =
        new MaxEnt (instances.getPipe(), parameters);
    }


    formatter = new DecimalFormat("0.###E0");


    cachedValueStale = true;

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    int numFeatures = unlabeled.getDataAlphabet().size();
    
    // setup model
    int numParameters = (numFeatures + 1) * unlabeled.getTargetAlphabet().size();
    if (p == null) {
      p = new MaxEnt(unlabeled.getPipe(),new double[numParameters]);
    }


    // setup aux model
    q = new PRAuxClassifier(unlabeled.getPipe(),constraints);

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        }


        InstanceList parameterInstances = new InstanceList(parameterPipe);


        if (dmrParameters == null) {
            dmrParameters = new MaxEnt(parameterPipe, new double[numFeatures * numTopics]);
        }
        
        for (int doc=0; doc < data.size(); doc++) {
            
            if (data.get(doc).instance.getTarget() == null) {

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cc.mallet.topics.DMROptimizable

cc.mallet.topics.DMRTopicModel

cc.mallet.types.Alphabet

cc.mallet.types.FeatureVector

cc.mallet.types.LabelAlphabet

cc.mallet.types.LabelVector

cc.mallet.types.RankedFeatureVector

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