Examples of weka.filters.unsupervised.attribute.Remove.input()

Package weka.filters.unsupervised.attribute

Class weka.filters.unsupervised.attribute.Remove

Examples of weka.filters.unsupervised.attribute.Remove.input()

weka.filters.unsupervised.attribute.Remove.input()
Input an instance for filtering. Ordinarily the instance is processed and made available for output immediately. Some filters require all instances be read before producing output. @param instance the input instance @return true if the filtered instance may now becollected with output(). @throws IllegalStateException if no input structure has been defined.

    Instances clusterTrain = Filter.useFilter(train, removeClass);
    clusterer.buildClusterer(clusterTrain);
          trainHeader = clusterTrain;
    while (source.hasMoreElements(train)) {
      inst = source.nextElement(train);
      removeClass.input(inst);
      removeClass.batchFinished();
      Instance clusterTrainInst = removeClass.output();
      ((UpdateableClusterer) clusterer).updateClusterer(clusterTrainInst);
    }
    ((UpdateableClusterer) clusterer).updateFinished();

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      trainCopy = Filter.useFilter(trainCopy, delTransform);
      // build the classifier
      m_Classifier.buildClassifier(trainCopy);
    }


    delTransform.input(testCopy);
    testCopy = delTransform.output();


    double pred;
    double [] distrib;
    distrib = m_Classifier.distributionForInstance(testCopy);

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      trainCopy = Filter.useFilter(trainCopy, delTransform);
      // build the classifier
      m_Classifier.buildClassifier(trainCopy);
    }


    delTransform.input(testCopy);
    testCopy = delTransform.output();


    double pred;
    double [] distrib;
    distrib = m_Classifier.distributionForInstance(testCopy);

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    Instances clusterTrain = Filter.useFilter(train, removeClass);
    clusterer.buildClusterer(clusterTrain);
          trainHeader = clusterTrain;
    while (source.hasMoreElements(train)) {
      inst = source.nextElement(train);
      removeClass.input(inst);
      removeClass.batchFinished();
      Instance clusterTrainInst = removeClass.output();
      ((UpdateableClusterer) clusterer).updateClusterer(clusterTrainInst);
    }
    ((UpdateableClusterer) clusterer).updateFinished();

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    Instances clusterTrain = Filter.useFilter(train, removeClass);
    clusterer.buildClusterer(clusterTrain);
          trainHeader = clusterTrain;
    while (source.hasMoreElements(train)) {
      inst = source.nextElement(train);
      removeClass.input(inst);
      removeClass.batchFinished();
      Instance clusterTrainInst = removeClass.output();
      ((UpdateableClusterer) clusterer).updateClusterer(clusterTrainInst);
    }
    ((UpdateableClusterer) clusterer).updateFinished();

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