feat: add ImportModelEvaluation in aiplatform v1 model_service.proto

protos/google/cloud/aiplatform/v1/model_evaluation.proto

@@ -38,31 +38,70 @@ message ModelEvaluation {
     pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}"
   };
 
+  message ModelEvaluationExplanationSpec {
+    // Explanation type.
+    //
+    // For AutoML Image Classification models, possible values are:
+    //
+    //   * `image-integrated-gradients`
+    //   * `image-xrai`
+    string explanation_type = 1;
+
+    // Explanation spec details.
+    ExplanationSpec explanation_spec = 2;
+  }
+
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
+  // Points to a YAML file stored on Google Cloud Storage describing the
   // [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
   // defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
-  string metrics_schema_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  string metrics_schema_uri = 2;
 
-  // Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+  // Evaluation metrics of the Model. The schema of the metrics is stored in
   // [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
-  google.protobuf.Value metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Value metrics = 3;
 
   // Output only. Timestamp when this ModelEvaluation was created.
   google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+  // All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
   // ModelEvaluationSlices. The dimensions can be used as the filter of the
   // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices] request, in the form of
   // `slice.dimension = <dimension>`.
-  repeated string slice_dimensions = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string slice_dimensions = 5;
+
+  // Points to a YAML file stored on Google Cloud Storage describing
+  // [EvaluatedDataItemView.data_item_payload][] and
+  // [EvaluatedAnnotation.data_item_payload][]. The schema is defined as an
+  // OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
+  //
+  // This field is not populated if there are neither EvaluatedDataItemViews nor
+  // EvaluatedAnnotations under this ModelEvaluation.
+  string data_item_schema_uri = 6;
 
-  // Output only. Aggregated explanation metrics for the Model's prediction output over the
+  // Points to a YAML file stored on Google Cloud Storage describing
+  // [EvaluatedDataItemView.predictions][],
+  // [EvaluatedDataItemView.ground_truths][],
+  // [EvaluatedAnnotation.predictions][], and
+  // [EvaluatedAnnotation.ground_truths][]. The schema is defined as an
+  // OpenAPI 3.0.2 [Schema
+  // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
+  //
+  // This field is not populated if there are neither EvaluatedDataItemViews nor
+  // EvaluatedAnnotations under this ModelEvaluation.
+  string annotation_schema_uri = 7;
+
+  // Aggregated explanation metrics for the Model's prediction output over the
   // data this ModelEvaluation uses. This field is populated only if the Model
   // is evaluated with explanations, and only for AutoML tabular Models.
   //
-  ModelExplanation model_explanation = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  ModelExplanation model_explanation = 8;
+
+  // Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
+  // the predicted values on the evaluated data.
+  repeated ModelEvaluationExplanationSpec explanation_specs = 9;
 }

protos/google/cloud/aiplatform/v1/model_service.proto

@@ -110,6 +110,15 @@ service ModelService {
     };
   }
 
+  // Imports an externally generated ModelEvaluation.
+  rpc ImportModelEvaluation(ImportModelEvaluationRequest) returns (ModelEvaluation) {
+    option (google.api.http) = {
+      post: "/v1/{parent=projects/*/locations/*/models/*}/evaluations:import"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,model_evaluation";
+  }
+
   // Gets a ModelEvaluation.
   rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
     option (google.api.http) = {
@@ -334,6 +343,21 @@ message ExportModelResponse {
 
 }
 
+// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1.ModelService.ImportModelEvaluation]
+message ImportModelEvaluationRequest {
+  // Required. The name of the parent model resource.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. Model evaluation resource to be imported.
+  ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
 // Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.

protos/google/cloud/aiplatform/v1beta1/model_evaluation.proto

@@ -55,32 +55,32 @@ message ModelEvaluation {
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Points to a YAML file stored on Google Cloud Storage describing the
+  // Points to a YAML file stored on Google Cloud Storage describing the
   // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
   // defined as an OpenAPI 3.0.2 [Schema
   // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
-  string metrics_schema_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
+  string metrics_schema_uri = 2;
 
-  // Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
+  // Evaluation metrics of the Model. The schema of the metrics is stored in
   // [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
-  google.protobuf.Value metrics = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
+  google.protobuf.Value metrics = 3;
 
   // Output only. Timestamp when this ModelEvaluation was created.
   google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
+  // All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
   // ModelEvaluationSlices. The dimensions can be used as the filter of the
   // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
   // `slice.dimension = <dimension>`.
-  repeated string slice_dimensions = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated string slice_dimensions = 5;
 
-  // Output only. Aggregated explanation metrics for the Model's prediction output over the
+  // Aggregated explanation metrics for the Model's prediction output over the
   // data this ModelEvaluation uses. This field is populated only if the Model
   // is evaluated with explanations, and only for AutoML tabular Models.
   //
-  ModelExplanation model_explanation = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+  ModelExplanation model_explanation = 8;
 
-  // Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+  // Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
   // the predicted values on the evaluated data.
-  repeated ModelEvaluationExplanationSpec explanation_specs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated ModelEvaluationExplanationSpec explanation_specs = 9;
 }

protos/google/cloud/aiplatform/v1beta1/model_service.proto

@@ -113,6 +113,15 @@ service ModelService {
     };
   }
 
+  // Imports an externally generated ModelEvaluation.
+  rpc ImportModelEvaluation(ImportModelEvaluationRequest) returns (ModelEvaluation) {
+    option (google.api.http) = {
+      post: "/v1beta1/{parent=projects/*/locations/*/models/*}/evaluations:import"
+      body: "*"
+    };
+    option (google.api.method_signature) = "parent,model_evaluation";
+  }
+
   // Gets a ModelEvaluation.
   rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
     option (google.api.http) = {
@@ -327,6 +336,21 @@ message ExportModelResponse {
 
 }
 
+// Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]
+message ImportModelEvaluationRequest {
+  // Required. The name of the parent model resource.
+  // Format: `projects/{project}/locations/{location}/models/{model}`
+  string parent = 1 [
+    (google.api.field_behavior) = REQUIRED,
+    (google.api.resource_reference) = {
+      type: "aiplatform.googleapis.com/Model"
+    }
+  ];
+
+  // Required. Model evaluation resource to be imported.
+  ModelEvaluation model_evaluation = 2 [(google.api.field_behavior) = REQUIRED];
+}
+
 // Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
 message GetModelEvaluationRequest {
   // Required. The name of the ModelEvaluation resource.