Serverless DataOps, for AI/ML purposes (Prototype)
Project description
Polyform
Proof of Concept
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.
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
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