@Override protected ML.ModelResult resultWithInfo(ML.ModelResult result) { return result.withInfo( "trainingError", EncogUtility.calculateRegressionError(method, model.getTrainingDataset()), "validationError",EncogUtility.calculateRegressionError(method, model.getValidationDataset()), "selectedMethod",method.toString(), "normalization",model.getDataset().getNormHelper().toString() ); } }