A Helm chart to install MLflow tracking, a tool to track Machine Learning experiments.
This Helm chart is using Postgresql as backend and S3 as artifact store. Contributions for other backends and artifacts store are welcome.
Homepage: https://www.mlflow.org/
Add Delivery Hero public chart repo:
helm repo add deliveryhero https://charts.deliveryhero.io/
A simple install with default values:
helm install deliveryhero/mlflow
To install the chart with the release name my-release
:
helm install my-release deliveryhero/mlflow
To install with some set values:
helm install my-release deliveryhero/mlflow --set values_key1=value1 --set values_key2=value2
To install with custom values file:
helm install my-release deliveryhero/mlflow -f values.yaml
Key | Type | Default | Description |
---|---|---|---|
extraLabels | object | {} |
|
fullnameOverride | string | "" |
|
image.pullPolicy | string | "IfNotPresent" |
|
image.repository | string | "larribas/mlflow" |
|
image.tag | string | "1.9.1" |
|
imagePullSecrets | list | [] |
|
ingress.enabled | bool | false |
|
ingress.hosts | list | [] |
|
ingress.path | string | "/" |
|
mlflow.affinity | object | {} |
|
mlflow.autoscaling.enabled | bool | false |
|
mlflow.autoscaling.maxReplicas | int | 10 |
|
mlflow.autoscaling.minReplicas | int | 1 |
|
mlflow.autoscaling.targetCPUUtilizationPercentage | int | 80 |
|
mlflow.autoscaling.targetMemoryUtilizationPercentage | int | 80 |
|
mlflow.database.hostname | string | "mlflow" |
|
mlflow.database.name | string | "mlflow" |
|
mlflow.database.password | string | "mlflow" |
|
mlflow.database.port | int | 5432 |
|
mlflow.database.username | string | "mlflow" |
|
mlflow.nodeSelector | object | {} |
|
mlflow.replicas | int | 1 |
|
mlflow.resources | object | {} |
|
mlflow.s3.path | string | "s3://mlflow" |
|
mlflow.tolerations | list | [] |
|
nameOverride | string | "" |
|
service.annotations | object | {} |
|
service.https.enable | bool | false |
|
service.https.port | int | 443 |
|
service.loadBalancerSourceRanges | list | [] |
Specifies source IP ranges which are allowed to access service with LoadBalancer type |
service.port | int | 80 |
|
service.targetPort | int | 5000 |
|
service.type | string | "ClusterIP" |
|
serviceAccount.annotations | object | {} |
|
serviceAccount.create | bool | false |
Specifies whether a service account should be created. If true, mlflow.fullname template is used as name. |
Name | Url | |
---|---|---|
mkuhn | [email protected] | https://github.com/magdalenakuhn17 |