Method
rerunModelMonitor POST
Copy POST

Re-runs the specified model monitor.

Arguments:

REQUIRED KEY TYPE DESCRIPTION
Yes modelMonitorId str Unique string identifier of the model monitor to re-run.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY TYPE DESCRIPTION
success Boolean true if the call succeeded, false if there was an error
result ModelMonitor
KEY TYPE Description
modelMonitorId str The unique identifier of the model monitor.
name str The user-friendly name for the model monitor.
createdAt str Date and time at which the model was created.
projectId str The project this model belongs to.
trainingFeatureGroupId List[str] Feature group IDs that this model monitor is monitoring.
predictionFeatureGroupId List[str] Feature group IDs that this model monitor is monitoring.
predictionFeatureGroupVersion List[str] Feature group versions that this model monitor is monitoring.
trainingFeatureGroupVersion List[str] Feature group versions that this model monitor is monitoring.
alertConfig dict Alerting configuration for this model monitor.
biasMetricId str The bias metric ID
metricConfigs dict Configurations for model monitor
featureGroupMonitorConfigs dict Configurations for feature group monitor
metricTypes dict List of metric types
modelId str Model ID that this model monitor is monitoring.
starred bool Whether this model monitor is starred.
batchPredictionId str The batch prediction ID this model monitor monitors
monitorType str The type of the monitor, one of MODEL_MONITOR, or FEATURE_GROUP_MONITOR
edaConfigs dict The configs for EDA
trainingForecastConfig dict The tarining config for forecast monitors
predictionForecastConfig dict The prediction config for forecast monitors
forecastFrequency str The frequency of the forecast
trainingFeatureGroupSampling bool Whether or not we sample from training feature group
predictionFeatureGroupSampling bool Whether or not we sample from prediction feature group
monitorDriftConfig dict The monitor drift config for the monitor
predictionDataUseMappings dict The data_use mapping of the prediction features
trainingDataUseMappings dict The data_use mapping of the training features
latestMonitorModelVersion ModelMonitorVersion The latest model monitor version.
refreshSchedules RefreshSchedule List of refresh schedules that indicate when the next model version will be trained.

Exceptions:

TYPE WHEN
DataNotFoundError

modelMonitorId is not found.
ConflictError

The model monitor is currently running.
ConflictError

The project has validation errors.
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