protected void setupMetrics() {
int lastIndex = n - 1;
// metrics=
// (MutableTableImpl)DefaultTableFactory.getInstance().createTable(tts[lastIndex].getNumOutputFeatures());
metrics = new MutableTableImpl(tts[lastIndex].getNumOutputFeatures());
for (int i = 0; i < metrics.getNumColumns(); i++) {
metrics.setColumn(new DoubleColumn(n), i);
metrics.setColumnLabel(
tts[lastIndex].getColumnLabel(tts[lastIndex].getOutputFeatures()[i]), i);
}
}
public void computeError(PredictionTable tt, int m) {
int rows = tt.getNumRows();
int columns = tt.getNumOutputFeatures();
// store an rms error for each output feature, make sure to initialize to zero
double[] rmse = new double[columns];
for (int i = 0; i < rmse.length; i++) {
rmse[i] = 0;
}
int[] ttOuts = tt.getOutputFeatures();
int[] ttPreds = tt.getPredictionSet();
for (int j = 0; j < columns; j++) {
for (int i = 0; i < rows; i++) {
double row_error;
double prediction = tt.getDouble(i, ttPreds[j]);
double target = tt.getDouble(i, ttOuts[j]);
if (printResults) {
System.out.println("T,P,: " + target + "," + prediction);
}
row_error = Math.abs(target - prediction);
row_error *= row_error;
rmse[j] += row_error;
}
}
for (int j = 0; j < rmse.length; j++) {
rmse[j] = rmse[j] / rows;
rmse[j] = Math.sqrt(rmse[j]);
// put the error in the verticalTable
metrics.setDouble(rmse[j], m, j);
}
}
