public static void main(String[] argv) throws Exception {
RSmo rsmo;
Data data = null;
double C = 100.0;
double tau = 1E-8;
double eps = 0.001;
int type = Kernel.POL;
int degree = 3;
double factor = 0.01;
double bias = 0.0;
int size = 40;
String filename = null;
int i;
try {
for (i = 0; i < argv.length; i++) {
if (argv[i].charAt(0) != '-') {
break;
}
++i;
switch (argv[i - 1].charAt(1)) {
case 'k':
type = atoi(argv[i]);
break;
case 'd':
degree = atoi(argv[i]);
break;
case 'f':
factor = atof(argv[i]);
break;
case 'g':
factor = atof(argv[i]);
break;
case 'b':
bias = atof(argv[i]);
break;
case 'c':
C = atof(argv[i]);
break;
case 't':
tau = atof(argv[i]);
break;
case 'e':
eps = atof(argv[i]);
break;
case 'i':
filename = argv[i];
break;
case 'o':
break;
case 'O':
break;
case 's':
size = atoi(argv[i]);
break;
case 'v':
IO.setVerbosity(atoi(argv[i]));
break;
default:
System.err.print("unknown option: " + argv[i - 1].charAt(1) + "");
System.exit(1);
}
}
} catch (Exception e) {
// System.err.print(e.toString());
// System.exit(1);
}
try {
data = SparseVector.readData(filename);
} catch (RuntimeException e) {
data = StepFunction.readData(filename);
}
Kernel kernel = new Kernel(data.point, type, degree, factor, bias, size);
double t[];
t = new double[data.l];
for (i = 0; i < data.l; i++) {
t[i] = Double.parseDouble(data.label[i]);
}
rsmo = new RSmo(kernel, t, C, tau, eps);
rsmo.train();
}
