Metadata-Version: 1.1
Name: clientMOE
Version: 0.1
Summary: Metric Optimization Engine
Home-page: https://github.com/Yelp/MOE
Author: Scott Clark and Eric Liu
Author-email: opensource+moe@yelp.com
License: UNKNOWN
Description: Client side code for MOE. 
        
        Install MOE with docker and call it using python REST interface   
        
        See https://github.com/Yelp/MOE/issues/461
        
        [MOE](https://github.com/Yelp/MOE) A global, black box optimization engine for real world metric optimization.
        
        
        ## Install
        `pip install git+https://github.com/mulyoved/clientMOE.git@master`
        
        ## Eaxmples
        * python [start_moe_example.py](https://github.com/mulyoved/clientMOE/blob/master/start_moe_example.py) 
        * jupyter notebook [example.ipynb](https://github.com/mulyoved/clientMOE/blob/master/jupyter-examples/example.ipynb) 
        
        
        
Keywords: bayesian global optimization optimal learning expected improvement experiment design
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
