- Added functionality to split an experiment into sets. - Automatically omit small sets when they are too short. - Subsets are now created from the sets. - The RAM usage per feature is estimated using the specified window parameters and np.nbytes(). - preparation_main.py showcases the use of the preparation functions. - A documentation of the data preparation is available in the Jupyter-Notebook. - Added some hdf5 functionality for slicing and reading/writing dictionaries (partially from https://gitext.gfz-potsdam.de/analab-code/rst-stick-slipy).
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