feat: add model_monitoring_stats_anomalies,model_monitoring_status to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto

Google APIs · copybara-github · commit 284389e2bdee · 2022-08-29T16:46:25.000-07:00
PiperOrigin-RevId: 470845818
diff --git a/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -25,6 +25,7 @@ import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
+import "google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto";
 import "google/cloud/aiplatform/v1beta1/model_monitoring.proto";
 import "google/cloud/aiplatform/v1beta1/unmanaged_container_model.proto";
 import "google/protobuf/struct.proto";
@@ -304,4 +305,10 @@ message BatchPredictionJob {
   // the input and output to the batch prediction job, as well as the provided
   // training dataset.
   ModelMonitoringConfig model_monitoring_config = 26;
+
+  // Get batch prediction job monitoring statistics.
+  repeated ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
+
+  // Output only. The running status of the model monitoring pipeline.
+  google.rpc.Status model_monitoring_status = 32 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
