Metadata-Version: 2.1
Name: polyform
Version: 0.2.9
Summary: Serverless DataOps, for AI/ML purposes (Prototype)
Home-page: https://github.com/srevenant/polyform
Author: Brandon Gillespie
Author-email: bjg-pypi@cold.org
License: None
Description: # Polyform
        
        <i>Proof of Concept</i>
        
        Polyforms are functions-as-a-service which include DataOps, specifically oriented
        for running AI systems:
        
        - are designed for native AI functionality
        - have an explicit expectation of the shape of data sent to them
        - support different sub-forms for variant purposes (such as training, vs intersect)
        - support transformation of data in flight, as well as storing back to the data universe
        - come with the implicit security of the Data Multiverse
        
        Data Expectations describe the shape of the data as needed, and draw it in on
        demand.
        
        This code is a combination of a very rough implementation (prototype)
        to prove the concept, combined with CI/CD automation for ease of use.
        
        It is targeted towards the data science industry, enabling deep learning to be
        more easily managed as production ready services.
        
        ```bash
        pip3 install 'git+ssh://git@github.com/srevenant/polyform.git@master#egg=polyform'
        ```
        
        Run `poly` with no args for a breakdown of options
        
        Tutorial coming soon
        
Keywords: dictlib,pyyaml,pylint,pyjwt,boto3,graphql
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
