/**
* Save the normalization data.
*
* @param out The output file.
*/
private void saveNormalize(final EncogWriteHelper out) {
saveSubSection(out, "NORMALIZE", "CONFIG");
out.addSubSection("RANGE");
out.addColumn("name");
out.addColumn("io");
out.addColumn("timeSlice");
out.addColumn("action");
out.addColumn("high");
out.addColumn("low");
out.writeLine();
for (final AnalystField field : this.script.getNormalize().getNormalizedFields()) {
out.addColumn(field.getName());
if (field.isInput()) {
out.addColumn("input");
} else {
out.addColumn("output");
}
out.addColumn(field.getTimeSlice());
switch (field.getAction()) {
case Ignore:
out.addColumn("ignore");
break;
case Normalize:
out.addColumn("range");
break;
case PassThrough:
out.addColumn("pass");
break;
case OneOf:
out.addColumn("oneof");
break;
case Equilateral:
out.addColumn("equilateral");
break;
case SingleField:
out.addColumn("single");
break;
default:
throw new AnalystError("Unknown action: " + field.getAction());
}
out.addColumn(field.getNormalizedHigh());
out.addColumn(field.getNormalizedLow());
out.writeLine();
}
}
/**
* Determine the input fields.
*
* @param headerList The headers.
* @return The indexes of the input fields.
*/
private int[] determineInputFields(final CSVHeaders headerList) {
final List<Integer> fields = new ArrayList<Integer>();
for (int currentIndex = 0; currentIndex < headerList.size(); currentIndex++) {
final String baseName = headerList.getBaseHeader(currentIndex);
final int slice = headerList.getSlice(currentIndex);
final AnalystField field = getAnalyst().getScript().findNormalizedField(baseName, slice);
if (field != null && field.isInput()) {
fields.add(currentIndex);
}
}
// allocate result array
final int[] result = new int[fields.size()];
for (int i = 0; i < result.length; i++) {
result[i] = fields.get(i);
}
return result;
}