UpdateDeploymentSettings: Updates configuration settings for a deployed model.

In datarobot: 'DataRobot' Predictive Modeling API

Updates configuration settings for a deployed model.

Description

Updates the deployment settings and returns all settings, including those not changed, on success.

Usage

UpdateDeploymentSettings(deployment, newSettings, maxWait)

Arguments

deployment	An S3 object representing a model deployment, or the unique ID of such a deployment.
newSettings	List containing the settings to be modified. Any settings not explicitly defined will be unprocessed.

Details

Marked as internal since we do not yet want to add this to the package index.

Value

List representing the various settings to be configured on a deployment, including:

associationId

object. Information on association ID for tracking deployment accuracy. See GetDeploymentAssociationId()

challengerModels

logical. Whether challenger models are enabled.

featureDrift

logical. Whether feature drift tracking is enabled. See GetDeploymentDriftTrackingSettings()

humility

logical. Whether humility rules are enabled.

predictionIntervals

object. Information on prediction intervals.

predictionWarning

object. Information on prediction warning settings.

predictionsByForecastDate

object. Information on predictions by forecast date.

predictionsDataCollection

logical. Whether predictions data is stored.

targetDrift

logical. Whether target drift tracking is enabled.

segmentAnalysis

object. Information on segment analysis settings.

See Also

Other deployment configuration functions: GetDeploymentSettings()

datarobot documentation built on May 29, 2024, 4:36 a.m.