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Dynamic Pipeline is a high-level API to help data scientists building models in ensemble way, and automating Machine Learning workflow with simple coding.

Project description

Dynamic Pipeline

PyPI Latest Release Github Issues License Last Commit Python Version

Author: Tony Dong

Dynamic Pipeline is a high-level API to help data scientists building models in ensemble way, and automating Machine Learning workflow with simple code.

Documentation: https://dynamic-pipeline.readthedocs.io/

Installation

pip install dynapipe

Current available modules:

  • autoPP for feature preprocessing
  • autoFS for classification/regression features selection
  • autoCV for classification/regression model selection and evaluation
  • autoPipe for modules automatic pipeline connection & generate model's performance reports

License:

MIT

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