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tracta_ml's Introduction

TractaML - taking subjectivity out of ML


This package aims at solving some of the most important problems that machine learning (ML) practitioners face on a daily basis, but still use sub-optimal methods to tackle them. Having this broad vision in mind, the first version of this package solves one such problem โ€“ Combined hyper-parameter tuning and feature selection.

Installation

To install the package using pip:

pip install tracta-ml

Documentation

Please refer to documentation.md for more details on package functionality.

Sample code

The example.py code presents a working example on the Wisconsin Breast Cancer (Diagnostic) dataset.

Authors

License

This project is licensed under the 3-Clause BSD License - see the LICENSE.md file for details

To cite

Please use the following format to cite this package:

N. Sanketh, "TractaML - taking subjectivity out of ML", (2018), GitHub, https://github.com/SankethNagarajan/tracta_ml

Keywords

  • Combined hyper-parameter tuning and feature selection
  • Micro GA
  • Optimizing machine learning models
  • Automatic model tuning

tracta_ml's People

Contributors

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Forkers

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