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Group K-fold partitioning a dataset

Asked by Ivan Abraham on 31 Jul 2018
The scikit-learn package in Python has a Group K-Fold function that allows you to split the data-set into test/train folds while ensuring the same "group" is not present in different folds. This is useful for example in studies where the same subject/person generates multiple data-points and we want to make sure the samples/data-points belonging to the same subject don't appear in both the training and testing folds.
I was wondering if MATLAB has a way to do this or enable this option in cvpartition function or in some other way. The default options only seem to preserve relative class-sizes.

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