feat: add monitor_window to ModelDeploymentMonitoringScheduleConfig proto in aiplatform v1/v1beta1 model_deployment_monitoring_job.proto

Google APIs · copybara-github · commit 239db5e2752a · 2022-06-06T10:15:31.000-07:00
PiperOrigin-RevId: 453226330
diff --git a/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto b/google/cloud/aiplatform/v1/model_deployment_monitoring_job.proto
@@ -266,6 +266,16 @@ message ModelDeploymentMonitoringScheduleConfig {
   // 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];
+
+  // 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;
 }
 
 // Statistics and anomalies generated by Model Monitoring.
diff --git a/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto b/google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto
@@ -266,6 +266,16 @@ message ModelDeploymentMonitoringScheduleConfig {
   // 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];
+
+  // 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;
 }
 
 // Statistics and anomalies generated by Model Monitoring.
