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
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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