com.google.cloud.aiplatform.v1

Interface ModelDeploymentMonitoringScheduleConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelDeploymentMonitoringScheduleConfig, ModelDeploymentMonitoringScheduleConfig.Builder

public interface ModelDeploymentMonitoringScheduleConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
com.google.protobuf.Duration	getMonitorInterval() Required.
com.google.protobuf.DurationOrBuilder	getMonitorIntervalOrBuilder() Required.
com.google.protobuf.Duration	getMonitorWindow() The time window of the prediction data being included in each prediction dataset.
com.google.protobuf.DurationOrBuilder	getMonitorWindowOrBuilder() The time window of the prediction data being included in each prediction dataset.
boolean	hasMonitorInterval() Required.
boolean	hasMonitorWindow() The time window of the prediction data being included in each prediction dataset.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasMonitorInterval

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:

Whether the monitorInterval field is set.

getMonitorInterval

com.google.protobuf.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:

The monitorInterval.

getMonitorIntervalOrBuilder

com.google.protobuf.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];

hasMonitorWindow

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][google.cloud.aiplatform.v1.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:

Whether the monitorWindow field is set.

getMonitorWindow

com.google.protobuf.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][google.cloud.aiplatform.v1.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:

The monitorWindow.

getMonitorWindowOrBuilder

com.google.protobuf.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][google.cloud.aiplatform.v1.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;