trainingParameters.setModelerTrainingParameters(modelTrainingParameters);
DummyXMinMaxNormalizer.TrainingParameters dtParams = new DummyXMinMaxNormalizer.TrainingParameters();
trainingParameters.setDataTransformerTrainingParameters(dtParams);
trainingParameters.setFeatureSelectorTrainingParameters(null);
Modeler instance = MLBuilder.create(trainingParameters, dbName, conf);
<BUG>instance.fit(trainingData);
instance.close();</BUG>
instance = MLBuilder.load(Modeler.class, dbName, conf);
instance.predict(trainingData);
ClassificationMetrics vm = new ClassificationMetrics(trainingData);

trainingParameters.setModelerTrainingParameters(modelTrainingParameters);
DummyXMinMaxNormalizer.TrainingParameters dtParams = new DummyXMinMaxNormalizer.TrainingParameters();
trainingParameters.setDataTransformerTrainingParameters(dtParams);
trainingParameters.setFeatureSelectorTrainingParameters(null);
Modeler instance = MLBuilder.create(trainingParameters, dbName, conf);
instance.fit(trainingData);
instance.save();
instance.close();
instance = MLBuilder.load(Modeler.class, dbName, conf);
instance.predict(trainingData);
ClassificationMetrics vm = new ClassificationMetrics(trainingData);
