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mlflow

Version: 1.0.9 Type: application AppVersion: 1.9.1

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/

How to install this chart

A simple install with default values, latest chart version and generated name:

helm install --generate-name oci://ghcr.io/deliveryhero/helm-charts/mlflow

To install a specific version of this chart:

helm install --generate-name oci://ghcr.io/deliveryhero/helm-charts/mlflow --version 1.0.9

To install the chart with the release name my-release:

helm install my-release oci://ghcr.io/deliveryhero/helm-charts/mlflow

To install with some set values:

helm install my-release oci://ghcr.io/deliveryhero/helm-charts/mlflow --set values_key1=value1 --set values_key2=value2

To install with custom values file:

helm install my-release oci://ghcr.io/deliveryhero/helm-charts/mlflow -f values.yaml

Source Code

Values

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.

Maintainers

Name Email Url
mkuhn [email protected] https://github.com/magdalenakuhn17