Class ModelDeploymentMonitoringScheduleConfig (1.153.1)

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ModelDeploymentMonitoringScheduleConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for scheduling monitoring job.

Attributes
Name	Description
monitor_interval	google.protobuf.duration_pb2.Duration Required. The model monitoring job scheduling interval. It will be rounded up to next full hour. This defines how often the monitoring jobs are triggered.
monitor_window	google.protobuf.duration_pb2.Duration The time window of the prediction data being included in each prediction dataset. This window specifies how long the data should be collected from historical model results for each run. If not set, ModelDeploymentMonitoringScheduleConfig.monitor_interval will be used. e.g. If currently the cutoff time is 2022-01-08 14:30:00 and the monitor_window is set to be 3600, then data from 2022-01-08 13:30:00 to 2022-01-08 14:30:00 will be retrieved and aggregated to calculate the monitoring statistics.

Methods

ModelDeploymentMonitoringScheduleConfig

ModelDeploymentMonitoringScheduleConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for scheduling monitoring job.