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When at this, it would be great to give more structure to the predictions (at least when using a high-level abstraction for predicting): E.g. use the file structure convention of the input and output an xarray (holds information about lat/lon etc).
Since the file standard will most likely be a two-group nc file (see #4) where each group can be loaded into an xarray, making the output match the xarray you would get from reading the label group of an input seems reasonable.
When predicting, we are just loading all the predictions into memory. This will run OOM fast on smaller machines.
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