Metadata-Version: 2.1
Name: skplumber
Version: 0.1.dev0
Summary: A scikit-learn based AutoML tool
Home-page: https://github.com/epeters3/skplumber
Author: Evan Peterson
Author-email: evanpeterson17@gmail.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn (>=0.21.3)
Requires-Dist: pandas (>=0.25.3)

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


