public void doTrain(TrainingDataSet dataSet, TrainingDataSet testSet) {
try {
checkDataSet(dataSet);
} catch (DataExampleFormatExcpetion | DataSetException e) {
e.printStackTrace();
}
this.session = new GuessSession();
for (int i = 0; dataSet.errorCount != 0; i++) {
dataSet.errorCount = 0;
for (DataExample ex : dataSet.dataset) {
Hashtable<String, String> results = session.submit(ex.getValues());
String classification = results.get("class");
double rate = Double.valueOf(results.get("rate"));
System.out.println(
"the output is " + classification + " and the expected is " + ex.getTarget());
if (!classification.equals(ex.getTarget())
|| (classification == ex.getTarget()) && (rate < 0.7)) {
dataSet.errorCount++;
session.train(ex.getTarget());
}
}
System.out.println("SESSION NB: " + i + ", ERROR COUNTER : " + dataSet.errorCount);
System.out.println();
}
doTest(testSet);
session.getNet().WriteNet("C:/Users/f.chaillat/Documents/JANN/JavaANN/network.json");
}
private void doTest(TrainingDataSet testSet) {
System.out.println("TEST BEGUIN");
testSet.errorCount = 0;
for (DataExample ex : testSet.dataset) {
Hashtable<String, String> results = session.submit(ex.getValues());
String classification = results.get("class");
double rate = Double.valueOf(results.get("rate"));
System.out.println(
"the output is " + classification + " and the expected is " + ex.getTarget());
if (!classification.equals(ex.getTarget())) {
testSet.errorCount++;
}
}
System.out.println(testSet.errorCount + " erreur(s) trouvée(s) sur l'ensemble de test");
}
