Metadata-Version: 2.1
Name: microprediction
Version: 0.0.2
Summary: Simple prediction AAS.
Home-page: https://github.com/microprediction/microprediction
Author: microprediction
Author-email: info@3za.org
License: MIT
Description: # microprediction
        
        A minimalist Python client for entering microprediction contests
        
            pip install microprediction 
         
        
        ### Intech Supercollider Challenge
        
        Before using this library: 
        
        - Sign up for an algorithmia account https://algorithmia.com/signup
        - Register at https://algorithmia.com/algorithms/threezaemails/Register to receive a write_key
        
        Then submit or modify your scenarios as follows: 
        
            from microprediction.collider import Collider 
            c = Collider(write_key=<YOUR WRITE KEY HERE>) 
            scenarios = [ i*0.001 for i in range(1000) ] 
            c.submit(name='cop.json',values=scenarios)
            
         Of course those scenarios are unlikely to reflect a probabilistic representation of the future so here
         is an easy way to get lagged values: 
         
            c.get_lagged(cop.json) 
            
         
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
