Create Seldon Core Model Deployment
Use this job to deploy a Seldon Core Model into the Fusion cluster.
Product
Use this job to deploy a Seldon Core Model into the Fusion cluster.
Deploys a Seldon Core Model into the Fusion cluster
The ID for this job. Used in the API to reference this job. Allowed characters: a-z, A-Z, dash (-) and underscore (_)
<= 63 characters
Match pattern: [a-zA-Z][_\-a-zA-Z0-9]*[a-zA-Z0-9]?
Provide additional key/value pairs to be injected into the training JSON map at runtime. Values will be inserted as-is, so use " to surround string values
object attributes:{key
required : {
display name: Parameter Name
type: string
}value
: {
display name: Parameter Value
type: string
}}
Options used when writing output to Solr or other sources
object attributes:{key
required : {
display name: Parameter Name
type: string
}value
: {
display name: Parameter Value
type: string
}}
Options used when reading input from Solr or other sources.
object attributes:{key
required : {
display name: Parameter Name
type: string
}value
: {
display name: Parameter Value
type: string
}}
The model name of the Seldon Core deployment to deploy (must be a valid lowercased DNS subdomain with no underscores).
<= 30 characters
Match pattern: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?(\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*$
How many replicas of the model should be deployed by Seldon Core
Default: 1
Defines the Docker repository where the model image is located.
Name of the model's docker image
Defines the Kubernetes secret to be used with the Docker repository
A list of column names that the model generates which the ML Service will return after inference.
Default: [output1, output2]
Path to cloud storage location that contains the saved parameters for this model. Supports S3, GCS, or Azure Blob Storage URIs
Defines the Kubernetes secret that will be used to access cloud storage
Default: argo-deploy-model
Allowed values: argo-deploy-model