m_PlotInstances.setEvaluation(eval);
eval = adjustForInputMappedClassifier(eval, ce.getClassifier(),
ce.getTestSet().getDataSet(), m_PlotInstances);
eval.useNoPriors();
m_eval = new AggregateableEvaluation(eval);
} else {
// we can set up with the training set here
Evaluation eval = new Evaluation(ce.getTrainSet().getDataSet());
m_PlotInstances = ExplorerDefaults.getClassifierErrorsPlotInstances();
m_PlotInstances.setInstances(ce.getTrainSet().getDataSet());
m_PlotInstances.setClassifier(ce.getClassifier());
m_PlotInstances.setClassIndex(ce.getTestSet().getDataSet().classIndex());
m_PlotInstances.setEvaluation(eval);
eval = adjustForInputMappedClassifier(eval, ce.getClassifier(),
ce.getTrainSet().getDataSet(), m_PlotInstances);
m_eval = new AggregateableEvaluation(eval);
}
m_PlotInstances.setUp();
m_currentBatchIdentifier = ce.getGroupIdentifier();