DACOpt: An Efficient Contesting Procedure for AutoML Optimization
Project description
#DACOpt: An Efficient Contesting Procedure for AutoML Optimization
Contact us
Duc Anh Nguyen
Email:d-dot-a-dot-nguyen-at-liacs-dot-leidenuniv-dot-nl
Website: ecole-itn.eu
Installation
Requirements
As requirements mentioned in requirements.txt
, hyperopt and BO4ML as build dependencies:
pip install hyperopt
pip install BO4ML
Installation
You could either install the stable version on pypi
:
pip install DACOpt
Or, take the lastest version from github:
pip install git+https://github.com/ECOLE-ITN/DACOpt.git
--
git clone https://github.com/ECOLE-ITN/DACOpt.git
cd DACOpt && python setup.py install --user
Example
See our experiments folder
Citation
Paper Reference
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck. An Efficient Contesting Procedure for AutoML Optimization. TBA
Acknowledgment
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 766186 (ECOLE).
Project details
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