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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/

Current available modules:

  • autoPP for data preprocessing
  • autoFS for classification/regression features selection
  • autoCV for classification/regression model selection with cross-validation
  • autoPipe for modules automatic pipeline connection & generate model's performance reports

Modules in development:

  • autoVIZ for pipeline visualization
  • autoFlow for tracking and deployment
  • autoTM for text mining
  • Unsupervised models specific modules

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