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Fusion 5.12
    Fusion 5.12

    Create Seldon Core Model DeploymentJob configuration specifications

    Table of Contents

    Managed Fusion uses Seldon Core to deploy machine learning (ML) models into production.

    This job deploys a Seldon Core deployment into the Managed Fusion cluster.

    To create the job, sign in to Managed Fusion and click Collections > Jobs. Then click Add+ and in the Model Deployment Jobs section, select Create Seldon Core Model Deployment.

    You can enter basic and advanced parameters to configure the job. If the field has a default value, it is populated when you click to add the job. To enter advanced parameters in the UI, click Advanced.

    For detailed information to deploy available Managed Fusion Seldon models, see the:

    Configuration properties

    Deploys a Seldon Core Model into the Fusion cluster

    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]?

    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
    }    }

    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
    }    }

    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
    }    }

    deployModelName - stringrequired

    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])?)*$

    modelReplicas - integer

    How many replicas of the model should be deployed by Seldon Core

    Default: 1

    modelDockerRepo - stringrequired

    Defines the Docker repository where the model image is located.

    modelDockerImage - stringrequired

    Name of the model's docker image

    modelDockerSecret - string

    Defines the Kubernetes secret to be used with the Docker repository

    columnNames - string

    A list of column names that the model generates which the ML Service will return after inference.

    Default: [output1, output2]

    cloudPath - string

    Path to cloud storage location that contains the saved parameters for this model. Supports S3, GCS, or Azure Blob Storage URIs

    cloudSecret - string

    Defines the Kubernetes secret that will be used to access cloud storage

    type - stringrequired

    Default: argo-deploy-model

    Allowed values: argo-deploy-model