private boolean einlesen() {
int eingabefaktor;
// Faktor
try {
eingabefaktor = Integer.parseInt(feldFaktor.getText());
if (eingabefaktor < 0) {
System.out.println("Faktor < 0");
feldFaktor.selectAll();
return false;
}
} catch (NumberFormatException e) {
System.out.println(e.toString());
feldFaktor.selectAll();
return false;
}
faktor = eingabefaktor;
// Ist die Checkbox angekreuzt?
NUREINSCHRITT = checkbox_nureinSchritt.isSelected();
AUCHSTRAGEGIE2 = checkbox_auchStrategie2.isSelected();
return true;
}
private void feldFaktorActionPerformed(
java.awt.event.ActionEvent evt) { // GEN-FIRST:event_feldFaktorActionPerformed
try {
int eingabefaktor = Integer.parseInt(feldFaktor.getText());
if (eingabefaktor < 0) {
System.out.println("Faktor < 0");
feldFaktor.setSelectionStart(0);
feldFaktor.setSelectionEnd(feldFaktor.getText().length());
}
} catch (NumberFormatException e) {
System.out.println(e.toString());
feldFaktor.setSelectionStart(0);
feldFaktor.setSelectionEnd(feldFaktor.getText().length());
}
} // GEN-LAST:event_feldFaktorActionPerformed
public void message(String s) {
if (firstLine == null) firstLine = s;
else {
StringTokenizer st = new StringTokenizer(s, " ");
try {
st.nextToken();
st.nextToken();
st.nextToken();
size = (new Integer(st.nextToken().trim())).longValue();
} catch (NoSuchElementException e) {
exception = new RunnerException(e.toString());
} catch (NumberFormatException e) {
exception = new RunnerException(e.toString());
}
}
}
/**
* If we know in advance that the table is numeric, can optimize a lot... For example, on 9803 x
* 294 table, TableFileLoader.readNumeric takes 6s compared to 12s for WekaMine readFromTable.
*/
public static Instances readNumeric(String fileName, String relationName, String delimiter)
throws Exception {
int numAttributes = FileUtils.fastCountLines(fileName) - 1; // -1 exclude heading.
String[] attrNames = new String[numAttributes];
// Read the col headings and figure out the number of columns in the table..
BufferedReader reader = new BufferedReader(new FileReader(fileName), 4194304);
String line = reader.readLine();
String[] instanceNames = parseColNames(line, delimiter);
int numInstances = instanceNames.length;
System.err.print("reading " + numAttributes + " x " + numInstances + " table..");
// Create an array to hold the data as we read it in...
double dataArray[][] = new double[numAttributes][numInstances];
// Populate the matrix with values...
String valToken = "";
try {
int rowIdx = 0;
while ((line = reader.readLine()) != null) {
String[] tokens = line.split(delimiter, -1);
attrNames[rowIdx] = tokens[0].trim();
for (int colIdx = 0; colIdx < (tokens.length - 1); colIdx++) {
valToken = tokens[colIdx + 1];
double value;
if (valToken.equals("null")) {
value = Instance.missingValue();
} else if (valToken.equals("?")) {
value = Instance.missingValue();
} else if (valToken.equals("NA")) {
value = Instance.missingValue();
} else if (valToken.equals("")) {
value = Instance.missingValue();
// }else value = DoubleParser.lightningParse(valToken); // faster double parser with
// MANY assumptions
} else value = Double.parseDouble(valToken);
dataArray[rowIdx][colIdx] = value;
}
rowIdx++;
}
} catch (NumberFormatException e) {
System.err.println(e.toString());
System.err.println("Parsing line: " + line);
System.err.println("Parsing token: " + valToken);
}
// Set up attributes, which for colInstances will be the rowNames...
FastVector atts = new FastVector();
for (int a = 0; a < numAttributes; a++) {
atts.addElement(new Attribute(attrNames[a]));
}
// Create Instances object..
Instances data = new Instances(relationName, atts, 0);
data.setRelationName(relationName);
System.err.print("creating instances..");
// System.err.println("DEBUG: numAttributes "+numAttributes);
/** ***** CREATE INSTANCES ************* */
// Fill the instances with data...
// For each instance...
for (int c = 0; c < numInstances; c++) {
double[] vals =
new double[data.numAttributes()]; // Even nominal values are stored as double pointers.
for (int r = 0; r < numAttributes; r++) {
double val = dataArray[r][c];
vals[r] = val;
}
// Add the a newly minted instance with those attribute values...
data.add(new Instance(1.0, vals));
}
// System.err.println("DEBUG: data.numInstances: "+data.numInstances());
// System.err.println("DEBUG: data.numAttributes: "+data.numAttributes());
// System.err.println("DEBUG: data.relationNAme"+data.relationName());
System.err.print("add feature names..");
/** ***** ADD FEATURE NAMES ************* */
// takes basically zero time... all time is in previous 2 chunks.
Instances newData = new Instances(data);
newData.insertAttributeAt(new Attribute("ID", (FastVector) null), 0);
int attrIdx = newData.attribute("ID").index(); // Paranoid... should be 0
for (int c = 0; c < numInstances; c++) {
newData.instance(c).setValue(attrIdx, instanceNames[c]);
}
data = newData;
// System.err.println("DEBUG: data.numInstances: "+data.numInstances());
// System.err.println("DEBUG: data.numAttributes: "+data.numAttributes());
return (data);
}