Interface ModelDeploymentMonitoringScheduleConfigOrBuilder (3.5.0)

Version 3.5.0

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public interface ModelDeploymentMonitoringScheduleConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getMonitorInterval()

public abstract Duration getMonitorInterval()

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.

.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
Duration	The monitorInterval.

getMonitorIntervalOrBuilder()

public abstract DurationOrBuilder getMonitorIntervalOrBuilder()

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.

.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
DurationOrBuilder

getMonitorWindow()

public abstract Duration getMonitorWindow()

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.

.google.protobuf.Duration monitor_window = 2;

Returns

Type	Description
Duration	The monitorWindow.

getMonitorWindowOrBuilder()

public abstract DurationOrBuilder getMonitorWindowOrBuilder()

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.

.google.protobuf.Duration monitor_window = 2;

Returns

Type	Description
DurationOrBuilder

hasMonitorInterval()

public abstract boolean hasMonitorInterval()

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.

.google.protobuf.Duration monitor_interval = 1 [(.google.api.field_behavior) = REQUIRED];

Returns

Type	Description
boolean	Whether the monitorInterval field is set.

hasMonitorWindow()

public abstract boolean hasMonitorWindow()

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.

.google.protobuf.Duration monitor_window = 2;

Returns

Type	Description
boolean	Whether the monitorWindow field is set.