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Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

machine-learning-exchange
machine-learning-exchange

machine-learning-exchange/mlx

Build Status CII Best Practices Slack

Machine Learning eXchange (MLX)

Data and AI Assets Catalog and Execution Engine

Allows upload, registration, execution, and deployment of:

  • AI pipelines and pipeline components
  • Models
  • Datasets
  • Notebooks

Additionally it provides:

1. Deployment

For a simple up-and-running MLX with asset catalog only, we created a Quickstart Guide using Docker Compose.

For a full deployment, we use Kubeflow Kfctl tooling.

2. Access the MLX UI

  1. By default the MLX UI is available at :30380/os

To find the public ip of a node of your cluster

kubectl get node -o wide

Look for the ExternalIP column.

  1. If you are on a openshift cluster you can also make use of the IstioIngresGateway Route. You can find it in the OpenShift Console or in the CLI
oc get route -n istio-system

3. Import Data and AI Assets in MLX Catalog

Import data and AI assets using MLX's catalog importer

4. Use MLX

MLX Usage Instructions

5. Troubleshooting

MLX Troubleshooting Instructions

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