/** Perform the sub task */
public void execute() {
m_random = new Random(m_rowNumber * 11);
m_dataGenerator.setSeed(m_rowNumber * 11);
m_result = new RemoteResult(m_rowNumber, m_panelWidth);
m_status.setTaskResult(m_result);
m_status.setExecutionStatus(TaskStatusInfo.PROCESSING);
try {
m_numOfSamplesPerGenerator =
(int) Math.pow(m_samplesBase, m_trainingData.numAttributes() - 3);
if (m_trainingData == null) {
throw new Exception("No training data set (BoundaryPanel)");
}
if (m_classifier == null) {
throw new Exception("No classifier set (BoundaryPanel)");
}
if (m_dataGenerator == null) {
throw new Exception("No data generator set (BoundaryPanel)");
}
if (m_trainingData.attribute(m_xAttribute).isNominal()
|| m_trainingData.attribute(m_yAttribute).isNominal()) {
throw new Exception(
"Visualization dimensions must be numeric " + "(RemoteBoundaryVisualizerSubTask)");
}
m_attsToWeightOn = new boolean[m_trainingData.numAttributes()];
m_attsToWeightOn[m_xAttribute] = true;
m_attsToWeightOn[m_yAttribute] = true;
// generate samples
m_weightingAttsValues = new double[m_attsToWeightOn.length];
m_vals = new double[m_trainingData.numAttributes()];
m_predInst = new Instance(1.0, m_vals);
m_predInst.setDataset(m_trainingData);
System.err.println("Executing row number " + m_rowNumber);
for (int j = 0; j < m_panelWidth; j++) {
double[] preds = calculateRegionProbs(j, m_rowNumber);
m_result.setLocationProbs(j, preds);
m_result.setPercentCompleted((int) (100 * ((double) j / (double) m_panelWidth)));
}
} catch (Exception ex) {
m_status.setExecutionStatus(TaskStatusInfo.FAILED);
m_status.setStatusMessage("Row " + m_rowNumber + " failed.");
System.err.print(ex);
return;
}
// finished
m_status.setExecutionStatus(TaskStatusInfo.FINISHED);
m_status.setStatusMessage("Row " + m_rowNumber + " completed successfully.");
}
