/**
* Process a old format dataset file for a modelling problem.
*
* @param nfejemplos Name of the dataset file
*/
public void oldClassificationProcess(String nfejemplos) {
// Dataset reading for modelling problems
try {
String line;
BufferedReader in = new BufferedReader(new FileReader(nfejemplos));
line = in.readLine();
nData = Integer.parseInt(line);
line = in.readLine();
nVariables = Integer.parseInt(line);
nInputs = nVariables - 1;
X = new double[nData][nInputs];
Y = new double[nData];
iMaximum = new double[nInputs];
iMinimum = new double[nInputs];
oMaximum = 0; // Maximum and minimum for output data
oMinimum = 0;
for (int i = 0; i < nData; i++) {
line = in.readLine();
StringTokenizer tokens = new StringTokenizer(line, " ,\t");
for (int j = 0; j < nInputs; j++) {
String tmp = tokens.nextToken();
X[i][j] = Double.parseDouble(tmp);
if (X[i][j] > iMaximum[j] || i == 0) {
iMaximum[j] = X[i][j];
}
if (X[i][j] < iMinimum[j] || i == 0) {
iMinimum[j] = X[i][j];
}
}
Y[i] = Double.parseDouble(tokens.nextToken());
if (Y[i] > oMaximum || i == 0) {
oMaximum = Y[i];
}
if (Y[i] < oMinimum || i == 0) {
oMinimum = Y[i];
}
}
} catch (FileNotFoundException e) {
System.err.println(e + " Fichero de ejemplos no encontrado");
} catch (IOException e) {
System.err.println(e + " Error lectura");
}
}
// Read the patron file, and parse data into strings
private void config_read(String fileParam) {
File inputFile = new File(fileParam);
if (inputFile == null || !inputFile.exists()) {
System.out.println("parameter " + fileParam + " file doesn't exists!");
System.exit(-1);
}
// begin the configuration read from file
try {
FileReader file_reader = new FileReader(inputFile);
BufferedReader buf_reader = new BufferedReader(file_reader);
// FileWriter file_write = new FileWriter(outputFile);
String line;
do {
line = buf_reader.readLine();
} while (line.length() == 0); // avoid empty lines for processing -> produce exec failure
String out[] = line.split("algorithm = ");
// alg_name = new String(out[1]); //catch the algorithm name
// input & output filenames
do {
line = buf_reader.readLine();
} while (line.length() == 0);
out = line.split("inputData = ");
out = out[1].split("\\s\"");
input_train_name = new String(out[0].substring(1, out[0].length() - 1));
input_test_name = new String(out[1].substring(0, out[1].length() - 1));
if (input_test_name.charAt(input_test_name.length() - 1) == '"')
input_test_name = input_test_name.substring(0, input_test_name.length() - 1);
do {
line = buf_reader.readLine();
} while (line.length() == 0);
out = line.split("outputData = ");
out = out[1].split("\\s\"");
output_train_name = new String(out[0].substring(1, out[0].length() - 1));
output_test_name = new String(out[1].substring(0, out[1].length() - 1));
if (output_test_name.charAt(output_test_name.length() - 1) == '"')
output_test_name = output_test_name.substring(0, output_test_name.length() - 1);
file_reader.close();
} catch (IOException e) {
System.out.println("IO exception = " + e);
e.printStackTrace();
System.exit(-1);
}
}
/**
* Process an old format dataset file for a clustering problem.
*
* @param nfejemplos Name of the dataset file.
*/
public void procesa_clustering_old(String nfejemplos) {
// Dataset reading for clustering problems
try {
String line;
BufferedReader in = new BufferedReader(new FileReader(nfejemplos));
line = in.readLine();
nData = Integer.parseInt(line);
line = in.readLine();
nVariables = Integer.parseInt(line);
nInputs = nVariables;
X = new double[nData][nInputs];
iMaximum = new double[nInputs];
iMinimum = new double[nInputs];
for (int i = 0; i < nData; i++) {
line = in.readLine();
StringTokenizer tokens = new StringTokenizer(line, " ,\t");
for (int j = 0; j < nInputs; j++) {
String tmp = tokens.nextToken();
X[i][j] = Double.parseDouble(tmp);
if (X[i][j] > iMaximum[j] || i == 0) {
iMaximum[j] = X[i][j];
}
if (X[i][j] < iMinimum[j] || i == 0) {
iMinimum[j] = X[i][j];
}
}
}
} catch (FileNotFoundException e) {
System.err.println(e + " Fichero de ejemplos no encontrado");
} catch (IOException e) {
System.err.println(e + " Error lectura");
}
}
/**
* Process an old format dataset file for a classification problem.
*
* @param nfejemplos Name of the dataset file.
*/
public void oldClusteringProcess(String nfejemplos) {
// Dataset reading for modelling problems
try {
String line;
BufferedReader in = new BufferedReader(new FileReader(nfejemplos));
line = in.readLine();
nData = Integer.parseInt(line);
line = in.readLine();
nVariables = Integer.parseInt(line);
nInputs = nVariables - 1;
X = new double[nData][nInputs];
C = new int[nData];
iMaximum = new double[nInputs];
iMinimum = new double[nInputs];
int cMaximum = 0; // Maximum and minimum for output data
int cMinimum = 0;
for (int i = 0; i < nData; i++) {
line = in.readLine();
StringTokenizer tokens = new StringTokenizer(line, " ,\t");
for (int j = 0; j < nInputs; j++) {
String tmp = tokens.nextToken();
X[i][j] = Double.parseDouble(tmp);
if (X[i][j] > iMaximum[j] || i == 0) {
iMaximum[j] = X[i][j];
}
if (X[i][j] < iMinimum[j] || i == 0) {
iMinimum[j] = X[i][j];
}
}
C[i] = Integer.parseInt(tokens.nextToken());
if (C[i] > cMaximum || i == 0) {
cMaximum = C[i];
}
if (C[i] < cMinimum || i == 0) {
cMinimum = C[i];
}
}
if (cMaximum == cMinimum) {
throw new IOException("0 clases");
}
nClasses = cMaximum - cMinimum + 1;
// It enumerates classes from 0
for (int i = 0; i < nData; i++) {
C[i] = (C[i] - cMinimum) / (cMaximum - cMinimum);
}
} catch (FileNotFoundException e) {
System.err.println(e + " Fichero de ejemplos no encontrado");
} catch (IOException e) {
System.err.println(e + " Error lectura");
}
}
