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A scikit-learn based AutoML tool

Project description

skplumber

Development Guide:

  1. For initial 1.0.0 release, this will be a python package that can take a pandas DF, a target column, and a problem type (i.e. classification, regression), and will build and try out ML pipelines on the data, delivering or storing the best pipeline as a useable model. It will use a common data preprocessing preamble, and try out different feature preprocessors and extractors, and different models as well.

Releasing

  1. Bump the version in setup.py
  2. Run:
    python setup.py sdist bdist_wheel
    twine check dist/*
    twine upload dist/*
    
  3. Pip install the package to make sure the version was bumped:
    pip install skplumber
    pip freeze | grep skplumber
    

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