A scikit-learn based AutoML tool
Project description
skplumber
Development Guide:
- 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
- Bump the version in
setup.py - Run:
python setup.py sdist bdist_wheel twine check dist/* twine upload dist/*
- Pip install the package to make sure the version was bumped:
pip install skplumber pip freeze | grep skplumber
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