/**
* obtain the names of the output files from the parameter file
*
* @param s is the StringTokenizer
*/
private void getOutputFiles(StringTokenizer s) {
String val = s.nextToken();
trainFileNameOutput = s.nextToken().replace('"', ' ').trim();
testFileNameOutput = s.nextToken().replace('"', ' ').trim();
extraFileNameOutput = s.nextToken().replace('"', ' ').trim();
}
/**
* obtain a string value from the parameter file
*
* @param s is the StringTokenizer
*/
private String getParamString(StringTokenizer s) {
String contenido = "";
String val = s.nextToken();
while (s.hasMoreTokens()) contenido += s.nextToken() + " ";
return contenido.trim();
}
/**
* Constructor of the Class Parametros
*
* @param nombreFileParametros is the pathname of input parameter file
*/
Parametros(String nombreFileParametros) {
try {
int i;
String fichero, linea, tok;
StringTokenizer lineasFile, tokens;
/* read the parameter file using Files class */
fichero = Files.readFile(nombreFileParametros);
fichero += "\n";
/* remove all \r characters. it is neccesary for a correst use in Windows and UNIX */
fichero = fichero.replace('\r', ' ');
/* extracts the differents tokens of the file */
lineasFile = new StringTokenizer(fichero, "\n");
i = 0;
while (lineasFile.hasMoreTokens()) {
linea = lineasFile.nextToken();
i++;
tokens = new StringTokenizer(linea, " ,\t");
if (tokens.hasMoreTokens()) {
tok = tokens.nextToken();
if (tok.equalsIgnoreCase("algorithm")) nameAlgorithm = getParamString(tokens);
else if (tok.equalsIgnoreCase("inputdata")) getInputFiles(tokens);
else if (tok.equalsIgnoreCase("outputdata")) getOutputFiles(tokens);
else if (tok.equalsIgnoreCase("seed")) seed = getParamLong(tokens);
else throw new java.io.IOException("Syntax error on line " + i + ": [" + tok + "]\n");
}
}
} catch (java.io.FileNotFoundException e) {
System.err.println(e + "Parameter file");
} catch (java.io.IOException e) {
System.err.println(e + "Aborting program");
System.exit(-1);
}
/** show the read parameter in the standard output */
String contents = "-- Parameters echo --- \n";
contents += "Algorithm name: " + nameAlgorithm + "\n";
contents += "Input Train File: " + trainFileNameInput + "\n";
contents += "Input Test File: " + testFileNameInput + "\n";
contents += "Output Train File: " + trainFileNameOutput + "\n";
contents += "Output Test File: " + testFileNameOutput + "\n";
System.out.println(contents);
}
/** Reads the data of the configuration file */
public void leer_conf() {
int i, j;
String cadenaEntrada, valor;
double cruce, mutacion, a, b, tau;
int long_poblacion, tipo_fitness;
// we read the file in a String
cadenaEntrada = Fichero.leeFichero(fichero_conf);
StringTokenizer sT = new StringTokenizer(cadenaEntrada, "\n\r=", false);
// we read the algorithm's name
sT.nextToken();
sT.nextToken();
// we read the name of the training and test files
sT.nextToken();
valor = sT.nextToken();
StringTokenizer ficheros = new StringTokenizer(valor, "\t ", false);
ficheros.nextToken();
fich_datos_chequeo = ((ficheros.nextToken()).replace('\"', ' ')).trim();
fich_datos_tst = ((ficheros.nextToken()).replace('\"', ' ')).trim();
fichero_br = ((ficheros.nextToken()).replace('\"', ' ')).trim();
// we read the name of the output files
sT.nextToken();
valor = sT.nextToken();
ficheros = new StringTokenizer(valor, "\t ", false);
fich_tra_obli = ((ficheros.nextToken()).replace('\"', ' ')).trim();
fich_tst_obli = ((ficheros.nextToken()).replace('\"', ' ')).trim();
fichero_reglas = ((ficheros.nextToken()).replace('\"', ' ')).trim();
ruta_salida = fich_tst_obli.substring(0, fich_tst_obli.lastIndexOf('/') + 1);
// we read the seed of the random generator
sT.nextToken();
valor = sT.nextToken();
semilla = Double.parseDouble(Quita_blancos(valor));
Randomize.setSeed((long) semilla);
;
// we read the Number of Iterations
sT.nextToken();
valor = sT.nextToken();
n_generaciones = Long.parseLong(Quita_blancos(valor));
// we read the Population Size
sT.nextToken();
valor = sT.nextToken();
long_poblacion = Integer.parseInt(Quita_blancos(valor));
// we read the Tau parameter for the minimun maching degree required to the KB
sT.nextToken();
valor = sT.nextToken();
tau = Double.parseDouble(Quita_blancos(valor));
// we read the Parameter a
sT.nextToken();
valor = sT.nextToken();
a = Double.parseDouble(Quita_blancos(valor));
// we read the Parameter b
sT.nextToken();
valor = sT.nextToken();
b = Double.parseDouble(Quita_blancos(valor));
// we read the Type of Fitness Function
sT.nextToken();
valor = sT.nextToken();
tipo_fitness = Integer.parseInt(Quita_blancos(valor));
// we read the Cross Probability
sT.nextToken();
valor = sT.nextToken();
cruce = Double.parseDouble(Quita_blancos(valor));
// we read the Mutation Probability
sT.nextToken();
valor = sT.nextToken();
mutacion = Double.parseDouble(Quita_blancos(valor));
// we create all the objects
tipoc = 1;
tabla = new MiDataset(fich_datos_chequeo, true);
if (tabla.salir == false) {
base_reglas = new BaseR(fichero_br, tabla);
fun_adap = new Adap(tabla, base_reglas, tau, tipo_fitness);
alg_gen = new AG(long_poblacion, base_reglas.n_reglas, cruce, mutacion, a, b, fun_adap);
}
}
private String Quita_blancos(String cadena) {
StringTokenizer sT = new StringTokenizer(cadena, "\t ", false);
return (sT.nextToken());
}
/**
* obtain a long value from the parameter file
*
* @param s is the StringTokenizer
*/
private long getParamLong(StringTokenizer s) {
String val = s.nextToken();
val = s.nextToken();
return Long.parseLong(val);
}
/**
* obtain an integer value from the parameter file
*
* @param s is the StringTokenizer
*/
private int getParamInt(StringTokenizer s) {
String val = s.nextToken();
val = s.nextToken();
return Integer.parseInt(val);
}
/**
* obtain a float value from the parameter file
*
* @param s is the StringTokenizer
*/
private double getParamFloat(StringTokenizer s) {
String val = s.nextToken();
val = s.nextToken();
return Float.parseFloat(val);
}
