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public interface ModelDeploymentMonitoringScheduleConfigOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
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];
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];
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;
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;
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];
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;
Type | Description |
boolean | Whether the monitorWindow field is set. |