CLI for MLOps generator

• Free software: MIT license
• Documentation: https://mlops-generator.readthedocs.io.

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

`python python3 setup.py install `

• 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`

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