public void classify() {
if (nb.isTrained()) {
Features features = new Features(drawView.getPoints(), drawView.getStrokes());
double predicted = nb.classifyInstance(features);
resultText.setText(Integer.toString((int) predicted));
} else {
showAlertDialog("Bład", "Klasyfikator nie został wyuczony");
}
}
@Override
public double[] getClassVotes(Instance inst, HoeffdingTree ht) {
if (getWeightSeen() >= ((HoeffdingTreeNB) ht).nbThresholdOption.getValue()) {
return NaiveBayes.doNaiveBayesPrediction(
inst, this.observedClassDistribution, this.attributeObservers);
}
return super.getClassVotes(inst, ht);
}
public void train() {
try {
File file = this.getFileStreamPath(dataTrainName);
if (file.exists()) {
InputStream inputStream = openFileInput(dataTrainName);
DataCollection data = new DataCollection();
data.build(inputStream);
if (data.numberOfClasses() > 1) {
nb.buildClassifier(data);
showAlertDialog("Sukces", "Model został poprawnie wyuczony");
} else {
showAlertDialog("Bład", "Narysuj co najmniej dwie różne cyfry aby wyuczyć model");
}
inputStream.close();
} else {
showAlertDialog("Bład", "Brak pliku z danymi uczącymi");
}
} catch (Exception e) {
Log.e("login activity", "Can not read file: " + e.toString());
}
}
