docs: fix typos

PiperOrigin-RevId: 386417992

google/cloud/aiplatform/v1beta1/featurestore_service.proto

@@ -599,7 +599,7 @@ message BatchReadFeatureValuesRequest {
   // Required. Specifies EntityType grouping Features to read values of and settings.
   // Each EntityType referenced in
   // [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
-  // specifying entity IDs in tha EntityType in
+  // specifying entity IDs in the EntityType in
   // [BatchReadFeatureValuesRequest.request][] .
   repeated EntityTypeSpec entity_type_specs = 7 [(google.api.field_behavior) = REQUIRED];
 }

google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto

@@ -111,7 +111,7 @@ message ModelDeploymentMonitoringJob {
   MonitoringScheduleState schedule_state = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. The config for monitoring objectives. This is a per DeployedModel config.
-  // Each DeployedModel needs to be configed separately.
+  // Each DeployedModel needs to be configured separately.
   repeated ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(google.api.field_behavior) = REQUIRED];
 
   // Required. Schedule config for running the monitoring job.

google/cloud/aiplatform/v1beta1/model_monitoring.proto

@@ -72,7 +72,7 @@ message ModelMonitoringObjectiveConfig {
   // training dataset sources and the skew detection parameters.
   message TrainingPredictionSkewDetectionConfig {
     // Key is the feature name and value is the threshold. If a feature needs to
-    // be monitored for skew, a value threshold must be configed for that
+    // be monitored for skew, a value threshold must be configured for that
     // feature. The threshold here is against feature distribution distance
     // between the training and prediction feature.
     map<string, ThresholdConfig> skew_thresholds = 1;
@@ -86,7 +86,7 @@ message ModelMonitoringObjectiveConfig {
   // The config for Prediction data drift detection.
   message PredictionDriftDetectionConfig {
     // Key is the feature name and value is the threshold. If a feature needs to
-    // be monitored for drift, a value threshold must be configed for that
+    // be monitored for drift, a value threshold must be configured for that
     // feature. The threshold here is against feature distribution distance
     // between different time windws.
     map<string, ThresholdConfig> drift_thresholds = 1;