if(featureSelector != null) {
featureSelector.transform(newData);
}
AbstractModeler modeler = (AbstractModeler) bundle.get(ML_KEY);
modeler.predict(newData);
<BUG>if(dataTransformer != null) {
dataTransformer.denormalize(newData);
}</BUG>
}
@Override

if(featureSelector != null) {
featureSelector.transform(newData);
}
AbstractModeler modeler = (AbstractModeler) bundle.get(ML_KEY);
modeler.predict(newData);
}
@Override
