Mlmd
- Kubeflow Charmers
- Ai Ml
| Channel | Revision | Published | Runs on |
|---|---|---|---|
| latest/stable | 10 | 20 Jan 2022 | |
| latest/beta | 201 | 09 Jul 2024 | |
| latest/edge | 243 | 27 Sep 2024 | |
| ckf-1.9/stable | 213 | 30 Jul 2024 | |
| ckf-1.9/edge | 245 | 27 Sep 2024 | |
| 1.14/stable | 127 | 21 Nov 2023 | |
| 1.14/edge | 222 | 15 Aug 2024 | |
| 1.0/stable | 14 | 30 Jun 2022 | |
| 1.0/edge | 14 | 27 Jun 2022 |
juju deploy mlmd --channel ckf-1.9/stable
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
Record and retrieve metadata associated with ML workflows
The ML Metadata operator provides means to store runtime information of a pipeline run in a Metadata store. This information includes status of a task, availability of artifacts, custom properties, etc. More info in https://github.com/google/ml-metadata/blob/master/g3doc/get_started.md