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feat: add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (#297)
PiperOrigin-RevId: 447082691 Source-Link: googleapis/googleapis@02b3022 Source-Link: https://github.com/googleapis/googleapis-gen/commit/753e1acf0deda59bc451482e6278c7dab4908b9c Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNzUzZTFhY2YwZGVkYTU5YmM0NTE0ODJlNjI3OGM3ZGFiNDkwOGI5YyJ9 PiperOrigin-RevId: 448116670 Source-Link: googleapis/googleapis@914bc52 Source-Link: https://github.com/googleapis/googleapis-gen/commit/db499206c1ede59f599ca2b05699e86bd4ee152e Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZGI0OTkyMDZjMWVkZTU5ZjU5OWNhMmIwNTY5OWU4NmJkNGVlMTUyZSJ9 See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md PiperOrigin-RevId: 448160148 Source-Link: googleapis/googleapis@936ab35 Source-Link: https://github.com/googleapis/googleapis-gen/commit/f841b8e23d816e998f9e8e6c0e04ba92b7f6b835 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZjg0MWI4ZTIzZDgxNmU5OThmOWU4ZTZjMGUwNGJhOTJiN2Y2YjgzNSJ9
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‎protos/google/cloud/aiplatform/v1/model_evaluation.proto‎

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@@ -54,6 +54,9 @@ message ModelEvaluation {
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// Output only. The resource name of the ModelEvaluation.
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string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
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// The display name of the ModelEvaluation.
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string display_name = 10;
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// Points to a YAML file stored on Google Cloud Storage describing the
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// [metrics][google.cloud.aiplatform.v1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
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// defined as an OpenAPI 3.0.2 [Schema
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// Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used for explaining
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// the predicted values on the evaluated data.
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repeated ModelEvaluationExplanationSpec explanation_specs = 9;
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// The metadata of the ModelEvaluation.
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// For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
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// structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
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// "evaluation_dataset_path".
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google.protobuf.Value metadata = 11;
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}

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

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// Output only. The resource name of the ModelEvaluation.
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string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
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// The display name of the ModelEvaluation.
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string display_name = 10;
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// Points to a YAML file stored on Google Cloud Storage describing the
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// [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
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// defined as an OpenAPI 3.0.2 [Schema
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// Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
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// the predicted values on the evaluated data.
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repeated ModelEvaluationExplanationSpec explanation_specs = 9;
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// The metadata of the ModelEvaluation.
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// For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
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// structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
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// "evaluation_dataset_path".
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google.protobuf.Value metadata = 11;
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}

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

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@@ -150,6 +150,27 @@ message PipelineJob {
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string network = 18 [(google.api.resource_reference) = {
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type: "compute.googleapis.com/Network"
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}];
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// A template uri from where the [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], if empty, will
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// be downloaded.
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string template_uri = 19;
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// Output only. Pipeline template metadata. Will fill up fields if
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// [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.
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PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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// Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported
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// template registry. Currently, the only supported registry is Artifact
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// Registry.
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message PipelineTemplateMetadata {
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// The version_name in artifact registry.
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//
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// Will always be presented in output if the [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is
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// from supported template registry.
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//
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// Format is "sha256:abcdef123456...".
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string version = 3;
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}
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// The runtime detail of PipelineJob.

‎protos/google/cloud/aiplatform/v1beta1/schema/annotation_payload.proto‎

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@@ -21,10 +21,13 @@ import "google/cloud/aiplatform/v1beta1/schema/geometry.proto";
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import "google/protobuf/duration.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
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option java_multiple_files = true;
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option java_outer_classname = "AnnotationPayloadProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema";
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// Annotation details specific to image classification.
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message ImageClassificationAnnotation {

‎protos/google/cloud/aiplatform/v1beta1/schema/annotation_spec_color.proto‎

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import "google/type/color.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
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option java_multiple_files = true;
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option java_outer_classname = "AnnotationSpecColorProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema";
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// An entry of mapping between color and AnnotationSpec. The mapping is used in
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// segmentation mask.

‎protos/google/cloud/aiplatform/v1beta1/schema/data_item_payload.proto‎

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import "google/protobuf/duration.proto";
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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
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option java_multiple_files = true;
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option java_outer_classname = "DataItemPayloadProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema";
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// Payload of Image DataItem.
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message ImageDataItem {

‎protos/google/cloud/aiplatform/v1beta1/schema/dataset_metadata.proto‎

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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
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option java_multiple_files = true;
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option java_outer_classname = "DatasetMetadataProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema";
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// The metadata of Datasets that contain Image DataItems.
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message ImageDatasetMetadata {

‎protos/google/cloud/aiplatform/v1beta1/schema/geometry.proto‎

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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema;schema";
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option java_multiple_files = true;
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option java_outer_classname = "GeometryProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema";
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// A vertex represents a 2D point in the image.
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// NOTE: the normalized vertex coordinates are relative to the original image

‎protos/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_classification.proto‎

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import "google/api/annotations.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema.Predict.Instance";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
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option java_multiple_files = true;
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option java_outer_classname = "ImageClassificationPredictionInstanceProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema\\Predict\\Instance";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema::Predict::Instance";
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// Prediction input format for Image Classification.
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message ImageClassificationPredictionInstance {

‎protos/google/cloud/aiplatform/v1beta1/schema/predict/instance/image_object_detection.proto‎

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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1.Schema.Predict.Instance";
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option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/instance;instance";
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option java_multiple_files = true;
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option java_outer_classname = "ImageObjectDetectionPredictionInstanceProto";
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option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.instance";
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option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1\\Schema\\Predict\\Instance";
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option ruby_package = "Google::Cloud::AIPlatform::V1beta1::Schema::Predict::Instance";
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// Prediction input format for Image Object Detection.
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message ImageObjectDetectionPredictionInstance {

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