Installation and setup guide ¶

This guide outlines the steps for installing and running MLRun.

Overview¶

Install the MLRun service locally using Docker or over Kubernetes Cluster. Alternatively, you can use Iguazio’s managed MLRun service.
Set up your client environment to work with the local or remote MLRun service.

Once you have installed and configured MLRun, follow the Quick Start tutorial and Additional Tutorials and Examples to learn how to use MLRun to develop and deploy machine learning applications to production.

For interactive installation and usage tutorials, try the MLRun Katakoda Scenarios.

Installation options:

MLRun client backward compatibility¶

Starting from MLRun 0.10.0, the MLRun client and images are compatible with minor MLRun releases that are released during the following 6 months. When you upgrade to 0.11.0, for example, you can continue to use your 0.10-based images.

Important

Images from 0.9.0 are not compatible with 0.10.0. Backward compatibility starts from 0.10.0.
When you upgrade the MLRun major version, for example 0.10.x to 1.0.x, there is no backward compatibility.
The feature store is not backward compatible.
When you upgrade the platform, for example from 3.2 to 3.3, the clients should be upgraded. There is no guaranteed compatibility with an older MLRun client after a platform upgrade.