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 – Combined hyper-parameter tuning and feature selection.
To install the package using pip:
pip install tracta-ml
Please refer to documentation.md for more details on package functionality.
The example.py code presents a working example on the Wisconsin Breast Cancer (Diagnostic) dataset.
- Sanketh Nagarajan (sanketh.objml@gmail.com)
This project is licensed under the 3-Clause BSD License - see the LICENSE.md file for details
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
- Combined hyper-parameter tuning and feature selection
- Micro GA
- Optimizing machine learning models
- Automatic model tuning