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CLI for MLOps code generator

Project description

mlops-generator

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CLI for MLOps generator

Install

`python pip install -r ./requirements.txt `

`python python3 setup.py install `

Features

  • Initialize project `mlops_generator init`

  • Add configurations `mlops_generator add`
    • –setup add setup.py entry point

    • –tests add pytests suite for unit tests

    • –docker add dockerfile and .dockerignore

    • –deploy add Google Cloud Build CI Pipeline

  • Add components `mlops_generator component`
    • Pandas extension

    • Sklearn base classes (TransformerMixin, RegressorMixin, ClassifierMixin, etc)

    • kubeflow-component or Kubeflow Container Op

    • kubeflow-pipeline

    • Jupyter-notebook

    • Temporal and Visualization artifacts for kubeflow

  • Help `mlops_generator --help`

Credits

This documentation was generated from Cookiecutter and the audreyr/cookiecutter-pypackage project template. Thanks cookiecutter!

History

0.1.0 (2020-07-28)

  • First release on PyPI.

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