Create Seldon Core Model Deployment
Use this job to deploy a Seldon Core Model into the Fusion cluster.
For information to deploy available Fusion Seldon models, see the:
Deploys a Seldon Core Model into the Fusion cluster
columnNames - string
A list of column names that the model generates which the ML Service will return after inference.
Default: [output1, output2]
deployModelName - stringrequired
The model name of the Seldon Core deployment to deploy
<= 30 characters
Match pattern: [a-zA-Z][\-a-zA-Z0-9]*[a-zA-Z0-9]?
id - stringrequired
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]?
modelDockerImage - stringrequired
Name of the model's docker image
modelDockerRepo - stringrequired
Defines the Docker repository where the model image is located.
modelDockerSecret - string
Defines the Kubernetes secret to be used with the Docker repository
modelReplicas - integer
How many replicas of the model should be deployed by Seldon Core
Default: 1
readOptions - array[object]
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
}}
sparkConfig - array[object]
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
}}
type - stringrequired
Default: argo-deploy-model
Allowed values: argo-deploy-model
writeOptions - array[object]
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
}}