feat: add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto

Google APIs · copybara-github · commit 936ab3594a2a · 2022-05-11T22:13:06.000-07:00
PiperOrigin-RevId: 448160148
diff --git a/google/cloud/aiplatform/v1/model_evaluation.proto b/google/cloud/aiplatform/v1/model_evaluation.proto
@@ -54,6 +54,9 @@ message ModelEvaluation {
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
+  // The display name of the ModelEvaluation.
+  string display_name = 10;
+
   // 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
@@ -104,4 +107,10 @@ message ModelEvaluation {
   // 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;
+
+  // The metadata of the ModelEvaluation.
+  // For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
+  // structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
+  // "evaluation_dataset_path".
+  google.protobuf.Value metadata = 11;
 }
diff --git a/google/cloud/aiplatform/v1beta1/model_evaluation.proto b/google/cloud/aiplatform/v1beta1/model_evaluation.proto
@@ -54,6 +54,9 @@ message ModelEvaluation {
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
+  // The display name of the ModelEvaluation.
+  string display_name = 10;
+
   // 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
@@ -82,4 +85,10 @@ message ModelEvaluation {
   // 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;
+
+  // The metadata of the ModelEvaluation.
+  // For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
+  // structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
+  // "evaluation_dataset_path".
+  google.protobuf.Value metadata = 11;
 }
