/**
* Adds new row element to this data set
*
* @param row data set row to add
*/
public void addRow(DataSetRow row) throws VectorSizeMismatchException {
if (row == null) {
throw new NeurophException("Training dta row cannot be null!");
}
// check input vector size if it is predefined
if ((this.inputSize != 0) && (row.getInput().length != this.inputSize)) {
throw new VectorSizeMismatchException(
"Input vector size does not match data set input size!");
}
if ((this.outputSize != 0) && (row.getDesiredOutput().length != this.outputSize)) {
throw new VectorSizeMismatchException(
"Output vector size does not match data set output size!");
}
// if everything went ok add training element
this.rows.add(row);
}
public void saveAsTxt(String filePath, String delimiter) {
if ((delimiter == null) || delimiter.equals("")) {
delimiter = " ";
}
PrintWriter out = null;
try {
out = new PrintWriter(new FileWriter(new File(filePath)));
for (DataSetRow element : this.rows) {
double[] input = element.getInput();
for (int i = 0; i < input.length; i++) {
out.print(input[i] + delimiter);
}
if (element instanceof DataSetRow) {
double[] output = ((DataSetRow) element).getDesiredOutput();
for (int j = 0; j < output.length; j++) {
out.print(output[j] + delimiter);
}
}
out.println();
}
out.flush();
} catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
} finally {
if (out != null) {
out.close();
}
}
}