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Fixes #232 by:
cluster.py
preventing passing both subsample and features.I wonder if it's also worth looking at file handling for features files? I noticed the loader is expecting a h5 file if only one set of features is passed, but a series of numpy files if multiple are passed. @justinrporter do you know why this was preferred? I could try and add some file extension logic as it might be nice to pass multiple h5 files (e.g. multiple ragged datasets), or a single numpy file (single homogenous dataset). Happy to do this as the same or a separate PR.