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License: MIT License
Project repository for battery dev
License: MIT License
This looks like a good guide to start from:
https://blog.floydhub.com/a-beginners-guide-on-recurrent-neural-networks-with-pytorch/
Trying out pytorch b/c I've not used it it and I'm a bit tired of mucking around in tensorflow
start a simple pipeline, run it with dvc.
Add an environment_template.sh
that lists the required environment variables for linking up to the cloud. Access Keys and URL to the data lake for use as a shared DVC backend. Something like:
export DATA_LAKE_URL=s3://battery-dev/data
export DATA_LAKE_KEY=seofijseofijsfoijesfoisjefeosifj
export DATA_LAKE_SECRET_KEY=soifjsoeifjseoifjsofijsefoijs
Normalize it somehow?
Begin by setting up a very simple dvc pipeline that is run in the jupyter container, or runs inside another container that mounts the same directory (so you can work with the code from jupyter lab).
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