Examples of SparseTrainSpace


Examples of com.clearnlp.classification.train.SparseTrainSpace

    boolean hasWeight = AbstractTrainSpace.hasWeight(vectorType, trainFile);
   
    switch (vectorType)
    {
    case AbstractTrainSpace.VECTOR_SPARSE:
      space = new SparseTrainSpace(hasWeight); break;
    case AbstractTrainSpace.VECTOR_STRING:
      space = new StringTrainSpace(hasWeight, labelCutoff, featureCutoff); break;
    }
   
    space.readInstances(UTInput.createBufferedFileReader(trainFile));
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Examples of com.clearnlp.classification.train.SparseTrainSpace

    boolean hasWeight = AbstractTrainSpace.hasWeight(vectorType, trainFile);
   
    switch (vectorType)
    {
    case AbstractTrainSpace.VECTOR_SPARSE:
      space = new SparseTrainSpace(hasWeight); break;
    case AbstractTrainSpace.VECTOR_STRING:
      space = new StringTrainSpace(hasWeight, labelCutoff, featureCutoff); break;
    }
   
    space.readInstances(UTInput.createBufferedFileReader(trainFile));
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Examples of com.clearnlp.classification.train.SparseTrainSpace

    boolean hasWeight = AbstractTrainSpace.hasWeight(vectorType, trainFile);
   
    switch (vectorType)
    {
    case AbstractTrainSpace.VECTOR_SPARSE:
      space = new SparseTrainSpace(hasWeight); break;
    case AbstractTrainSpace.VECTOR_STRING:
      space = new StringTrainSpace(hasWeight, labelCutoff, featureCutoff); break;
    }
   
    space.readInstances(UTInput.createBufferedFileReader(trainFile));
View Full Code Here

Examples of com.clearnlp.classification.train.SparseTrainSpace

    boolean hasWeight = AbstractTrainSpace.hasWeight(vectorType, trainFile);
   
    switch (vectorType)
    {
    case AbstractTrainSpace.VECTOR_SPARSE:
      space = new SparseTrainSpace(hasWeight); break;
    case AbstractTrainSpace.VECTOR_STRING:
      space = new StringTrainSpace(hasWeight, labelCutoff, featureCutoff); break;
    }
   
    space.readInstances(UTInput.createBufferedFileReader(trainFile));
View Full Code Here

Examples of com.clearnlp.classification.train.SparseTrainSpace

    boolean hasWeight = AbstractTrainSpace.hasWeight(vectorType, trainFile);
   
    switch (vectorType)
    {
    case AbstractTrainSpace.VECTOR_SPARSE:
      space = new SparseTrainSpace(hasWeight); break;
    case AbstractTrainSpace.VECTOR_STRING:
      space = new StringTrainSpace(hasWeight, labelCutoff, featureCutoff); break;
    }
   
    space.readInstances(UTInput.createBufferedFileReader(trainFile));
View Full Code Here
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