Package for building abstract ML models that can then be compiled using popular ML platforms.
BOAR (Build Once And Run) ML is a library that allows you to build abstract machine learning models and then compile them with popular ML platforms.
The library also implements additional modules for applying mutations to an architecture, support for writing
architectures to a file and reading architectures from a file in a user readable format.
pip install boarml
- Building the package:
python setup.py sdist bdist_wheel
- Uploading to PyPi:
python -m twine upload dist/*
- Uploading new versions:
twine upload --skip-existing dist/*
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