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Reviewing a model update

Updated on July 5, 2022

Use this endpoint to approve or reject a candidate model in a prediction by using Machine Learning Operations (MLOps).

POST /predictions/model_update/{referenceID}/review

Method
POST
Endpoint
/predictions/model_update/{referenceID}/review
Sample URL
http://IP:PORT/prweb/api/application/v2/predictions/model_update/M-5104/review

{referenceID} is an identifier of a model update that you want to approve or reject, for example, M-5104. A request that starts a model update returns this reference ID. For more information, see Starting a model update.

Request

For example: 
{
    "action": "Approve",
    "review_note": "Approving model for shadow",
    "shadow_mode": true
}

Review request parameters

NameTypeDescription
actionString (Approve, Reject)This parameter allows you to approve a model for deployment to production or to reject the model.
review_noteStringA comment from the data scientist to indicate the reason for the approval or rejection of the model.
shadow_modeBoolean (True, False)True places the model in shadow mode. False replaces the active model in the prediction with this model.

Response

For example: 
{
    "message": "referenceID M-5104 is Approved. New status Approved"
}

Response parameters

NameTypeDescription
messageStringThe output of the review command.

Tags

Pega Platform 8.7 Decision Management

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