Optimize time and space consumption.

[thequicksort]

Brain storming ideas for optimizations post-release. Please add them as you think of them.

• (Katie mentioned): Removing Random Forest classifier

• Use Python slots in dataclasses without defaults (will reduce time and space).

[thequicksort]

It turns out that ONT released some documentation around many of its data types. Currently we store things as INt64s which could be Int16s: https://github.com/nanoporetech/minknow_api/blob/6f2dfb66bf0ff03edd0a57d758913110f08c7f07/proto/minknow_api/data.proto#L302

Maybe there's an optimization there? But their wording seems "shifty" enough that I don't know that I would bet the bank on it. We could try the optimization, and if the data compression is above some threshold and we feel safe with ONT being consistent, keep it.

[thequicksort]

Cool info on optimizing H5py :
https://www.nersc.gov/assets/Uploads/H5py-2017-Feb23.pdf