dataTransformer = MLBuilder.load(dtParams.getTClass(), dbName, conf);
}
setParallelized(dataTransformer);</BUG>
dataTransformer.transform(newData);
<BUG>}
AbstractTrainer.AbstractTrainingParameters fsParams = trainingParameters.getFeatureSelectorTrainingParameters();
boolean selectFeatures = fsParams!=null;
if(selectFeatures) {
if(featureSelector==null) {

featureSelector = MLBuilder.load(fsParams.getTClass(), dbName, conf);
}
setParallelized(featureSelector);</BUG>
featureSelector.transform(newData);

dataTransformer = MLBuilder.load(dtParams.getTClass(), dbName, conf);
}
bundle.put("dataTransformer", dataTransformer);
}
if(!bundle.containsKey("featureSelector")) {
AbstractFeatureSelector.AbstractTrainingParameters fsParams = trainingParameters.getFeatureSelectorTrainingParameters();
AbstractFeatureSelector featureSelector = null;
if(fsParams != null) {
