I have a dataset where each row is a data sample, and there is a a column indicating a group this sample came from. So, each group has several data points, and each one is a row in the dataframe. I would like to run the cross-validation so that at each fold, the data points from one group are used as the validation set, and the data points from other groups as the training test. Is this currently somehow possible in Azure AutoML ?