Package cc.mallet.types

Examples of cc.mallet.types.AugmentableFeatureVector

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      FeatureSelection[] pcfs = new FeatureSelection[numClasses];
      for (int j = 0; j < numClasses; j++)
        pcfs[j] = (FeatureSelection) ilist.getPerLabelFeatureSelection()[j].clone();
      for (int i = 0; i < ilist.size(); i++) {
        Object data = ilist.get(i).getData();
        AugmentableFeatureVector afv = (AugmentableFeatureVector) data;
        root.induceFeatures (afv, null, pcfs, ilist.getFeatureSelection(), ilist.getPerLabelFeatureSelection(),
                             withFeatureShrinkage, inducePerClassFeatures, addFeaturesClassEntropyThreshold);
      }
    } else {
      throw new UnsupportedOperationException ("Not yet implemented");
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        }
        int[] featureIndicesArr = new int[featureIndices.size()];
        for (int index = 0; index < featureIndices.size(); index++) {
          featureIndicesArr[index] = featureIndices.get(index);
        }
         fvs[l] = featureInductionOption.value ? new AugmentableFeatureVector(features, featureIndicesArr, null, featureIndicesArr.length) :
          new FeatureVector(features, featureIndicesArr);
      }
      carrier.setData(new FeatureVectorSequence(fvs));
      if (isTargetProcessing())
        carrier.setTarget(target);
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        }
        int[] featureIndicesArr = new int[featureIndices.size()];
        for (int index = 0; index < featureIndices.size(); index++) {
          featureIndicesArr[index] = featureIndices.get(index);
        }
         fvs[l] = featureInductionOption.value ? new AugmentableFeatureVector(features, featureIndicesArr, null, featureIndicesArr.length) :
          new FeatureVector(features, featureIndicesArr);
      }
      carrier.setData(new FeatureVectorSequence(fvs));
      if (isTargetProcessing())
        carrier.setTarget(target);
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        }
        int[] featureIndicesArr = new int[featureIndices.size()];
        for (int index = 0; index < featureIndices.size(); index++) {
          featureIndicesArr[index] = featureIndices.get(index);
        }
         fvs[l] = featureInductionOption.value ? new AugmentableFeatureVector(features, featureIndicesArr, null, featureIndicesArr.length) :
          new FeatureVector(features, featureIndicesArr);
      }
      carrier.setData(new FeatureVectorSequence(fvs));
      if (isTargetProcessing())
        carrier.setTarget(target);
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Related Classes of cc.mallet.types.AugmentableFeatureVector

  • cc.mallet.classify.DecisionTree
  • cc.mallet.cluster.Record
  • cc.mallet.fst.SimpleTagger$SimpleTaggerSentence2FeatureVectorSequence
  • cc.mallet.fst.SimpleTaggerStdin$SimpleTaggerSentence2FeatureVectorSequence
  • cc.mallet.pipe.AddClassifierTokenPredictions
  • cc.mallet.pipe.AugmentableFeatureVectorLogScale
  • cc.mallet.pipe.FeatureSequence2AugmentableFeatureVector
  • cc.mallet.types.tests.TestAugmentableFeatureVector
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