Mlflow
- Kubeflow Charmers | bundle
- Ai Ml
Channel | Revision | Published |
---|---|---|
latest/stable | 47 | 09 Aug 2024 |
latest/candidate | 28 | 06 Dec 2021 |
latest/beta | 46 | 09 Aug 2024 |
latest/edge | 45 | 09 Aug 2024 |
2.15/stable | 49 | 09 Aug 2024 |
2.15/edge | 48 | 09 Aug 2024 |
2.1/stable | 36 | 14 Sep 2023 |
2.1/beta | 35 | 14 Sep 2023 |
2.1/edge | 34 | 14 Sep 2023 |
juju deploy mlflow
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:
-
create_default_artifact_root_if_missing | boolean
Default: True
If True, charm will try to create the default_artifact_root bucket in S3 if it does not exist. If False and the bucket does not exist, the charm enter Blocked status
-
default_artifact_root | string
Default: mlflow
The name of the default bucket mlflow uses for artifacts, if not specified by the workflow
-
enable_mlflow_nodeport | boolean
Default: True
Deploy the NodePort service for MLFlow
-
mlflow_nodeport | int
Default: 31380
The nodeport for MLFlow
-
mlflow_port | int
Default: 5000
The port MLFlow will be listening on
-
mlflow_prometheus_exporter_nodeport | int
Default: 31381
The nodeport for MLFlow Prometheus exporter
-
mlflow_prometheus_exporter_port | int
Default: 8000
The port MLFlow Prometheus exporter will be listening on