Skip to content

Latest commit

 

History

History
27 lines (17 loc) · 669 Bytes

README.md

File metadata and controls

27 lines (17 loc) · 669 Bytes

Bayesian Optimization

Python implementation of Budgeted Batch Bayesian Optimization (B3O) with Gaussian Processes.

Installation

Dependencies

  • Numpy
  • Scipy
  • Scikit-learn
  • keras (to run experiment with deep learning)
  • nlopt (optional)

Usage:

  • Check the ipynb folder for the demo using iPython notebook
  • Run the experiments using our approaches and the baselines in run_batch folder.

Contact:

Dr Vu Nguyen, [email protected]

Reference:

Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh. "Budgeted batch bayesian optimization." In IEEE 16th International Conference on Data Mining (ICDM), pp. 1107-1112, 2016.