PCA.TrainingParameters featureSelectionParameters = new PCA.TrainingParameters();
<BUG>featureSelectionParameters.setMaxDimensions(trainingDataset.getVariableNumber()-1); //remove one dimension
</BUG>
featureSelectionParameters.setWhitened(false);
featureSelectionParameters.setVariancePercentageThreshold(0.99999995);
<BUG>featureSelection.fit_transform(trainingDataset, featureSelectionParameters);
</BUG>
SoftMaxRegression classifier = new SoftMaxRegression("Diabetes", dbConf);
SoftMaxRegression.TrainingParameters param = new SoftMaxRegression.TrainingParameters();
param.setTotalIterations(200);

PCA.TrainingParameters featureSelectionParameters = new PCA.TrainingParameters();
featureSelectionParameters.setMaxDimensions(trainingDataframe.xColumnSize()-1); //remove one dimension
featureSelectionParameters.setWhitened(false);
featureSelectionParameters.setVariancePercentageThreshold(0.99999995);
featureSelection.fit_transform(trainingDataframe, featureSelectionParameters);
SoftMaxRegression classifier = new SoftMaxRegression("Diabetes", dbConf);
SoftMaxRegression.TrainingParameters param = new SoftMaxRegression.TrainingParameters();
param.setTotalIterations(200);
