MLRun basics

What is MLRun?
MLOps development flow
Quick-Start Guide
Tutorials
- Getting-Started Tutorial
- Converting Research Notebook to Operational Pipeline With MLRun
Installation and setup guide

Concepts

Working with data

Feature Store: Data ingestion
Feature Store: Data retrieval
Feature Store tutorials
- Feature store example (stocks)
- Feature store end-to-end demo

Develop functions and models

Deploy ML applications

Real-time serving pipelines (graphs)
Model serving pipelines
Model monitoring overview (beta)
- Model monitoring overview (beta)
- Enable model monitoring (beta)
CI/CD, rolling upgrades, git
- Github/Gitlab and CI/CD integration

References

mlrun.frameworks.pytorch¶

By Iguazio
© Copyright 2022, Iguazio.