Package cc.mallet.types

Examples of cc.mallet.types.FeatureVector.indexAtLocation()

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            int index = ti.getIndex();
            int nwi = source.weightsIndices[index].length;
            for (int wi = 0; wi < nwi; wi++) {
              int weightsIndex = source.weightsIndices[index][wi];
              for (int i = 0; i < input.numLocations(); i++) {
                int featureIndex = input.indexAtLocation(i);
                if ((globalFeatureSelection == null || globalFeatureSelection.contains(featureIndex))
                    && (featureSelections == null
                        || featureSelections[weightsIndex] == null
                        || featureSelections[weightsIndex].contains(featureIndex)))
                  weightsPresent[weightsIndex].set (featureIndex);
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            int index = ti.getIndex();
            int nwi = source.weightsIndices[index].length;
            for (int wi = 0; wi < nwi; wi++) {
              int weightsIndex = source.weightsIndices[index][wi];
              for (int i = 0; i < input.numLocations(); i++) {
                int featureIndex = input.indexAtLocation(i);
                if ((globalFeatureSelection == null || globalFeatureSelection.contains(featureIndex))
                    && (featureSelections == null
                        || featureSelections[weightsIndex] == null
                        || featureSelections[weightsIndex].contains(featureIndex)))
                  weightsPresent[weightsIndex].set (featureIndex);
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      FeatureVector fv = (FeatureVector) instance.getData();
      classifier.getClassificationScoresWithTemperature(instance, temperature, scores[ii]);
     
      for (int loc = 0; loc < fv.numLocations(); loc++) {
        int featureIndex = fv.indexAtLocation(loc);
        if (constraints.containsKey(featureIndex)) {
          int cIndex = mapping.get(featureIndex);           
          double val;
          if (!useValues) {
            val = 1.;
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        int featureIndex;
        if (loc == fv.numLocations()) {
          featureIndex = defaultFeatureIndex;
        }
        else {
          featureIndex = fv.indexAtLocation(loc);
        }
       
        if (constraints.containsKey(featureIndex)) {
          int cIndex = mapping.get(featureIndex);
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      // this handles distributions over labels
      for (int li = 0; li < numLabels; li++) {
        double py = instance.getLabeling().value(li);
        for (int loc = 0; loc < featureVector.numLocations(); loc++) {
          int fi = featureVector.indexAtLocation(loc);
          double val = featureVector.valueAtLocation(loc);
          featureLabelCounts[fi][li] += py * val;
        }
      }
    }
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      assert(!Double.isNaN(instanceWeight)) : "instanceWeight is NaN";

      boolean hasNaN = false;
      for (int i = 0; i < fv.numLocations(); i++) {
        if (Double.isNaN(fv.valueAtLocation(i))) {
          logger.info("NaN for feature " + fdict.lookupObject(fv.indexAtLocation(i)).toString());
          hasNaN = true;
        }
      }
      if (hasNaN)
        logger.info("NaN in instance: " + inst.getName());
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