/**
* Main Function
*
* @param args the Command line arguments. Only one is processed: the name of the file containing
* the
* <p>parameters
*/
public static void main(String[] args) throws IOException {
double[][] X;
double[][] Y;
int nInpt, nOutpl, ndata, i, j;
Rbfn net;
try {
// Help required
if (args.length > 0) {
if (args[0].equals("--help")
|| args[0].equals("-help")
|| args[0].equals("-h")
|| args[0].equals("-?")) {
doHelp();
return;
}
}
System.out.println("- Executing doRbfnDec " + args.length);
// Reading parameters
String paramFile = (args.length > 0) ? args[0] : "parameters.txt";
setParameters(paramFile);
System.out.println(" - Parameters file: " + paramFile);
// Random generator setup
if (reallySeed) {
Randomize.setSeed((long) seed);
}
// Reading Training dataset
ProcDataset Dtrn = new ProcDataset(trnFile, true);
// Training
System.out.println("Modeling Dataset");
Dtrn.processModelDataset();
nInpt = Dtrn.getninputs();
nOutpl = 1; // PD.getnvariables()-nInpt;
ndata = Dtrn.getndata();
Y = new double[ndata][1];
X = Dtrn.getX();
double[] auxY;
auxY = Dtrn.getY();
for (i = 0; i < ndata; i++) Y[i][0] = auxY[i];
// Building and training the net
net = new Rbfn(nNeuronsIni, X, ndata, nInpt, nOutpl);
net.decremental(X, Y, ndata, percent, alfa);
double[] obtained = new double[ndata];
net.testModeling(X, ndata, obtained);
Dtrn.generateResultsModeling(outTrnFile, auxY, obtained);
// TEST
ProcDataset Dtst = new ProcDataset(tstFile, false);
Dtst.processModelDataset();
nInpt = Dtst.getninputs();
nOutpl = 1; // PD.getnvariables()-nInpt;
ndata = Dtst.getndata();
X = Dtst.getX();
auxY = Dtst.getY();
Y = new double[ndata][1];
for (i = 0; i < ndata; i++) Y[i][0] = auxY[i];
obtained = new double[ndata];
net.testModeling(X, ndata, obtained);
Dtst.generateResultsModeling(outTstFile, auxY, obtained);
RBFUtils.createOutputFile(trnFile, outRbfFile);
net.printRbfn(outRbfFile);
if (Dtrn.datasetType() == 2) System.out.println("This is not a clustering algorithm");
System.out.println(
"- End of doRbfnDec. See results in output files named according to "
+ paramFile
+ " parameters file.");
} catch (Exception e) {
throw new InternalError(e.toString());
}
}
