docs: fix typos (#178)

feat: Adds BigQuery output table field to batch prediction job output config
feat: Adds Feature Store features
feat: Adds CustomJob.web_access_uris, CustomJob.enable_web_access fields
feat: Adds Endpoint.network, Endpoint.private_endpoints fields and PrivateEndpoints message
feat: Adds Execution.State constants: CACHED and CANCELLED
feat: Adds IndexEndpoint.private_ip_ranges field
feat: Adds IndexEndpointService.deployed_index_id field
feat: Adds MetadataService.DeleteArtifact and DeleteExecution methods
feat: Adds ModelMonitoringObjectConfig.explanation_config field and ModelMonitoringObjectConfig.ExplanationConfig message
feat: Adds ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attribution_score_skew_thresholds and ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attribution_score_drift_threshold fields
feat: Adds fields to Study message
PiperOrigin-RevId: 386417992
PiperOrigin-RevId: 385903722
feat: Removes breaking change from v1 version of AI Platform protos
PiperOrigin-RevId: 385812643
Source-Link: googleapis/googleapis@3744b86
Source-Link: googleapis/googleapis-gen@a3200c2

Author: gcf-owl-bot[bot]

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/prediction_service.proto

@@ -41,12 +41,8 @@ service PredictionService {
     option (google.api.http) = {
       post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predict"
       body: "*"
-      additional_bindings {
-        post: "/v1/{endpoint=projects/*/locations/*/endpoints/*}:predictInternal"
-        body: "*"
-      }
     };
-    option (google.api.method_signature) = "endpoint,parameters,instances";
+    option (google.api.method_signature) = "endpoint,instances,parameters";
   }
 }
 

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/accelerator_type.proto

@@ -18,10 +18,13 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "AcceleratorTypeProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a hardware accelerator type.
 enum AcceleratorType {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/annotation.proto

@@ -18,16 +18,18 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-
 import "google/cloud/aiplatform/v1beta1/user_action_reference.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "AnnotationProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Used to assign specific AnnotationSpec to a particular area of a DataItem or
 // the whole part of the DataItem.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/annotation_spec.proto

@@ -21,10 +21,13 @@ import "google/api/resource.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "AnnotationSpecProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Identifies a concept with which DataItems may be annotated with.
 message AnnotationSpec {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/artifact.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "ArtifactProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general artifact.
 message Artifact {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto

@@ -31,10 +31,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "BatchPredictionJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions
 // on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
@@ -93,8 +96,7 @@ message BatchPredictionJob {
       // `errors_N.<extension>` files are created (N depends on total number
       // of failed predictions). These files contain the failed instances,
       // as per their schema, followed by an additional `error` field which as
-      // value has
-      // [`google.rpc.Status`](Status)
+      // value has [google.rpc.Status][google.rpc.Status]
       // containing only `code` and `message` fields.
       GcsDestination gcs_destination = 2;
 
@@ -114,7 +116,7 @@ message BatchPredictionJob {
       // prediction schemata. The `errors` table contains rows for which the
       // prediction has failed, it has instance columns, as per the
       // instance schema, followed by a single "errors" column, which as values
-      // has [`google.rpc.Status`](Status)
+      // has [google.rpc.Status][google.rpc.Status]
       // represented as a STRUCT, and containing only `code` and `message`.
       BigQueryDestination bigquery_destination = 3;
     }
@@ -139,6 +141,12 @@ message BatchPredictionJob {
       // format, into which the prediction output is written.
       string bigquery_output_dataset = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
     }
+
+    // Output only. The name of the BigQuery table created, in
+    // `predictions_<timestamp>`
+    // format, into which the prediction output is written.
+    // Can be used by UI to generate the BigQuery output path, for example.
+    string bigquery_output_table = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
   }
 
   // Output only. Resource name of the BatchPredictionJob.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/completion_stats.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/rpc/status.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "CompletionStatsProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Success and error statistics of processing multiple entities
 // (for example, DataItems or structured data rows) in batch.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/context.proto

@@ -23,10 +23,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "ContextProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Instance of a general context.
 message Context {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/custom_job.proto

@@ -28,10 +28,13 @@ import "google/protobuf/timestamp.proto";
 import "google/rpc/status.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "CustomJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a job that runs custom workloads such as a Docker container or a
 // Python package. A CustomJob can have multiple worker pools and each worker
@@ -88,6 +91,11 @@ message CustomJob {
   // then all resources created by the CustomJob will be encrypted with the
   // provided encryption key.
   EncryptionSpec encryption_spec = 12;
+
+  // Output only. The web access URIs for the training job.
+  // The keys are the node names in the training jobs, e.g. workerpool0-0.
+  // The values are the URIs for each node's web portal in the job.
+  map<string, string> web_access_uris = 16 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 // Represents the spec of a CustomJob.
@@ -154,6 +162,10 @@ message CustomJobSpec {
       type: "aiplatform.googleapis.com/Tensorboard"
     }
   ];
+
+  // Optional. Vertex AI will enable web portal access to the containers. The portals
+  // can be accessed on web via the URLs given by [web_access_uris][].
+  bool enable_web_access = 10 [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Represents the spec of a worker pool in a job.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/data_item.proto

@@ -18,15 +18,17 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
-
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DataItemProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A piece of data in a Dataset. Could be an image, a video, a document or plain
 // text.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/data_labeling_job.proto

@@ -28,10 +28,13 @@ import "google/rpc/status.proto";
 import "google/type/money.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DataLabelingJobProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // DataLabelingJob is used to trigger a human labeling job on unlabeled data
 // from the following Dataset:

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/dataset.proto

@@ -24,10 +24,13 @@ import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DatasetProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // A collection of DataItems and Annotations on them.
 message Dataset {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/dataset_service.proto

@@ -29,10 +29,13 @@ import "google/cloud/aiplatform/v1beta1/training_pipeline.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DatasetServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 service DatasetService {
   option (google.api.default_host) = "aiplatform.googleapis.com";

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/deployed_index_ref.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DeployedIndexRefProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Points to a DeployedIndex.
 message DeployedIndexRef {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/deployed_model_ref.proto

@@ -20,10 +20,13 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "DeployedModelNameProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Points to a DeployedModel.
 message DeployedModelRef {

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/encryption_spec.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EncryptionSpecProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents a customer-managed encryption key spec that can be applied to
 // a top-level resource.

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/endpoint.proto

@@ -25,10 +25,13 @@ import "google/cloud/aiplatform/v1beta1/model_deployment_monitoring_job.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EndpointProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Models are deployed into it, and afterwards Endpoint is called to obtain
 // predictions and explanations.
@@ -87,6 +90,21 @@ message Endpoint {
   // Endpoint and all sub-resources of this Endpoint will be secured by
   // this key.
   EncryptionSpec encryption_spec = 10;
+
+  // The full name of the Google Compute Engine
+  // [network](/compute/docs/networks-and-firewalls#networks) to which the
+  // Endpoint should be peered.
+  //
+  // Private services access must already be configured for the network. If left
+  // unspecified, the Endpoint is not peered with any network.
+  //
+  // [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
+  // projects/{project}/global/networks/{network}.
+  // Where {project} is a project number, as in '12345', and {network} is
+  // network name.
+  string network = 13 [(google.api.resource_reference) = {
+                         type: "compute.googleapis.com/Network"
+                       }];
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -158,4 +176,22 @@ message DeployedModel {
   // receives prediction requests at a high queries per second rate (QPS).
   // Estimate your costs before enabling this option.
   bool enable_access_logging = 13;
+
+  // Output only. Provide paths for users to send predict/explain/health requests directly to
+  // the deployed model services running on Cloud via private services access.
+  // This field is populated if [network][google.cloud.aiplatform.v1beta1.Endpoint.network] is configured.
+  PrivateEndpoints private_endpoints = 14 [(google.api.field_behavior) = OUTPUT_ONLY];
+}
+
+// PrivateEndpoints is used to provide paths for users to send
+// requests via private services access.
+message PrivateEndpoints {
+  // Output only. Http(s) path to send prediction requests.
+  string predict_http_uri = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Http(s) path to send explain requests.
+  string explain_http_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Http(s) path to send health check requests.
+  string health_http_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
 }

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/endpoint_service.proto

@@ -25,10 +25,13 @@ import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/field_mask.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EndpointServiceProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 service EndpointService {
   option (google.api.default_host) = "aiplatform.googleapis.com";

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/entity_type.proto

@@ -23,10 +23,13 @@ import "google/cloud/aiplatform/v1beta1/featurestore_monitoring.proto";
 import "google/protobuf/timestamp.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EntityTypeProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // An entity type is a type of object in a system that needs to be modeled and
 // have stored information about. For example, driver is an entity type, and

packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1beta1/env_var.proto

@@ -19,10 +19,13 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/annotations.proto";
 
+option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
 option java_outer_classname = "EnvVarProto";
 option java_package = "com.google.cloud.aiplatform.v1beta1";
+option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1";
+option ruby_package = "Google::Cloud::AIPlatform::V1beta1";
 
 // Represents an environment variable present in a Container or Python Module.
 message EnvVar {