Metadata-Version: 1.1
Name: ParallelBayesOpt
Version: 0.9.2
Summary: Bayesian Optimization Library with GPU support
Home-page: https://github.com/wangronin/BayesianOptimization
Author: Hao Wang and Bas van Stein
Author-email: wangronin@gmail.com
License: UNKNOWN
Description: Bayesian Optimization Library
        =======================
        
        The bayesian optimization algorithm is a surrogate-based optimizer that can
        optimize expensive black-box functions. This implementation is specifically
        tuned to optimize deel neural networks. It is able to handle paralell 
        evaluations on multiple GPUs, and can use a Random Forest surrogate model.
        
        For additional details see our paper: <https://coming_soon>`_.
        
        
Keywords: bayesian optimization neuralnetworks
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
