seldon-single-model

Chart to deploy a machine learning model in Seldon Core.

Usage

使用本chart，首先要添加 seldonio Helm 仓库：

helm repo add seldonio https://storage.googleapis.com/seldon-charts
helm repo update

一旦完成，你可以按照如下使用预估图模板：

helm template $MY_MODEL_NAME seldonio/seldon-single-model --namespace $MODELS_NAMESPACE

注意你也可以直接部署预估图到集群中： 使用：

helm install $MY_MODEL_NAME seldonio/seldon-single-model --namespace $MODELS_NAMESPACE

Homepage: https://github.com/SeldonIO/seldon-core

源码

• https://github.com/SeldonIO/seldon-core

• https://github.com/SeldonIO/seldon-core/tree/master/helm-charts/seldon-single-model

设置值

键	类型	默认值	描述
annotations	object	{}	Annotations applied to the deployment
apiVersion	string	"machinelearning.seldon.io/v1"	Version of the SeldonDeployment CRD
hpa.enabled	bool	false	Whether to add an HPA spec to the deployment
hpa.maxReplicas	int	5	Maximum number of replicas for HPA
hpa.metrics	list	[{"resource":{"name":"cpu","targetAverageUtilization":10},"type":"Resource"}]	Metrics that autoscaler should check
hpa.minReplicas	int	1	Minimum number of replicas for HPA
labels	object	{}	Labels applied to the deployment
model.env	object	{"LOG_LEVEL":"INFO"}	Environment variables injected into the model’s container
model.envSecretRefName	string	""	The model secret name for enviroment variables
model.image	string	""	Docker image used by the model
model.implementation	string	""	Implementation of Prepackaged Model Server
model.logger.enabled	bool	false
model.logger.url	string	""
model.mlflow.xtype	string	""
model.resources	object	{"requests":{"memory":"1Mi"}}	Resource requests and limits for the model’s container
model.uri	string	""	Model’s URI for prepackaged model server
protocol	string	"seldon"
replicas	int	1	Number of replicas for the predictor