List of numInstances() Examples

Examples of numInstances()

net.kuujo.vertigo.component.ModuleContext.numInstances()
net.kuujo.vertigo.component.VerticleContext.numInstances()
weka.classifiers.Evaluation.numInstances()
Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value). @return the number of test instances with known class
weka.core.Instances.numInstances()
Returns the number of instances in the dataset. @return the number of instances in the dataset as an integer

Examples of weka.core.Instances.numInstances()

    }


    if (m_adjustForTrends) {
      int timeStampIndex = result.attribute(m_timeStampName).index();


      m_lastTimeValue = result.instance(result.numInstances() - 1).value(
          timeStampIndex);
      Instance last = result.instance(result.numInstances() - 1);
      Instance secondToLast = result.instance(result.numInstances() - 2);
      /*
       * m_deltaTime = last.value(timeStampIndex) -

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Examples of weka.core.Instances.numInstances()

    if (m_adjustForTrends) {
      int timeStampIndex = result.attribute(m_timeStampName).index();


      m_lastTimeValue = result.instance(result.numInstances() - 1).value(
          timeStampIndex);
      Instance last = result.instance(result.numInstances() - 1);
      Instance secondToLast = result.instance(result.numInstances() - 2);
      /*
       * m_deltaTime = last.value(timeStampIndex) -
       * secondToLast.value(timeStampIndex);
       */

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Examples of weka.core.Instances.numInstances()

      int timeStampIndex = result.attribute(m_timeStampName).index();


      m_lastTimeValue = result.instance(result.numInstances() - 1).value(
          timeStampIndex);
      Instance last = result.instance(result.numInstances() - 1);
      Instance secondToLast = result.instance(result.numInstances() - 2);
      /*
       * m_deltaTime = last.value(timeStampIndex) -
       * secondToLast.value(timeStampIndex);
       */

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Examples of weka.core.Instances.numInstances()

        }
      }


      System.err.println("******** Discarding " + start
          + " instances from the start.");
      result = new Instances(result, start, result.numInstances() - start);
    }
    // System.err.println(result);
    return result;
  }

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Examples of weka.core.Instances.numInstances()

      Instances trainMod = new Instances(m_trainingData);
      trainMod = weka.classifiers.timeseries.core.Utils.replaceMissing(
          trainMod, lagMaker.getFieldsToLag(), lagMaker.getTimeStampField(),
          false, lagMaker.getPeriodicity(), lagMaker.getSkipEntries());


      if (trainMod.numInstances() != m_trainingData.numInstances()) {
        m_trainingData = trainMod;
      }


      if (m_evaluateTestData) {
        m_missingTimeStampTestSetRows = new ArrayList<String>();

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Examples of weka.core.Instances.numInstances()

            testMod, lagMaker.getFieldsToLag(), lagMaker.getTimeStampField(),
            false, lagMaker.getPeriodicity(), lagMaker.getSkipEntries(),
            m_missingTargetListTestSet, m_missingTimeStampListTestSet,
            m_missingTimeStampTestSetRows);


        if (testMod.numInstances() != m_testData.numInstances()) {
          m_testData = testMod;
        }
      }


    }

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Examples of weka.core.Instances.numInstances()

          notifyBatchClassifierListeners(ce);          
        } else {
          // if headers do not match check to see if it's
          // just the class that is different and that
          // all class values are missing
          if (testSet.numInstances() > 0) {
            if (testSet.classIndex() == m_trainingSet.classIndex() && 
                testSet.attributeStats(testSet.classIndex()).missingCount ==
                testSet.numInstances()) {
              // now check the other attributes against the training
              // structure

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Examples of weka.core.Instances.numInstances()

          // just the class that is different and that
          // all class values are missing
          if (testSet.numInstances() > 0) {
            if (testSet.classIndex() == m_trainingSet.classIndex() && 
                testSet.attributeStats(testSet.classIndex()).missingCount ==
                testSet.numInstances()) {
              // now check the other attributes against the training
              // structure
              boolean ok = true;
              for (int i = 0; i < testSet.numAttributes(); i++) {
                if (i != testSet.classIndex()) {

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Examples of weka.core.Instances.numInstances()

          outBuff.append("Lagged and derived variable options:\n\t").
          append(lagOptions + "\n\n");
        }


        outBuff.append("Relation:     " + inst.relationName() + '\n');
        outBuff.append("Instances:    " + inst.numInstances() + '\n');
        outBuff.append("Attributes:   " + inst.numAttributes() + '\n');
        if (inst.numAttributes() < 100) {
          for (int i = 0; i < inst.numAttributes(); i++) {
            outBuff.append("              " + inst.attribute(i).name()
                + '\n');

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Examples of weka.core.Instances.numInstances()


      /*
       * // don't push the first instance into the filters because this one //
       * has already been pushed in earlier.
       */
      for (int i = 0; i < missingReplaced.numInstances(); i++) {
        applyFilters(missingReplaced.instance(i), false, false);
      }
      m_missingBuffer = new Instances(m_primedInput, 0);
      // m_previousPrimeInstance = inst;
    } else if (!wasBuffered) {

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