Examples of weka.gui.explorer.ClassifierErrorsPlotInstances.process()

weka.gui.explorer.ClassifierErrorsPlotInstances.process()

Process a classifier's prediction for an instance and update a set of plotting instances and additional plotting info. m_PlotShape for nominal class datasets holds shape types (actual data points have automatic shape type assignment; classifier error data points have box shape type). For numeric class datasets, the actual data points are stored in m_PlotInstances and m_PlotSize stores the error (which is later converted to shape size values). @param toPredict the actual data point @param classifier the classifier @param eval the evaluation object to use for evaluating the classifier onthe instance to predict @see #m_PlotShapes @see #m_PlotSizes @see #m_PlotInstances

        for (int i = 0; i < m_testData.numInstances(); i++) {
          if (m_stopped) {
            break;
          }
          Instance temp = m_testData.instance(i);
          plotInstances.process(temp, m_classifier, eval);
        }
        
        if (m_stopped) {
          return;
        }

        for (int i = 0; i < m_testData.numInstances(); i++) {
          if (m_stopped) {
            break;
          }
          Instance temp = m_testData.instance(i);
          plotInstances.process(temp, m_classifier, eval);
        }
        
        if (m_stopped) {
          return;
        }

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