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Package for building abstract ML models that can then be compiled using popular ML platforms.

Project description

Boar ML

Build Status

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.

https://pypi.org/project/boarml/

Installation

pip install boarml

Building instructions

  1. Building the package: python setup.py sdist bdist_wheel
  2. Uploading to PyPi: python -m twine upload dist/*
  3. Uploading new versions: twine upload --skip-existing dist/*

Project details


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Files for boarml, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size boarml-0.0.6-py3-none-any.whl (21.5 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size boarml-0.0.6.tar.gz (8.8 kB) File type Source Python version None Upload date Hashes View

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