mlflow

mlflow

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

• https://github.com/mlflow

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