// Copyright 2024 Google LLC // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. syntax = "proto3"; package google.cloud.aiplatform.v1; import "google/api/field_behavior.proto"; import "google/api/resource.proto"; import "google/cloud/aiplatform/v1/explanation.proto"; import "google/protobuf/struct.proto"; import "google/protobuf/timestamp.proto"; option csharp_namespace = "Google.Cloud.AIPlatform.V1"; option go_package = "cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb"; option java_multiple_files = true; option java_outer_classname = "ModelEvaluationProto"; option java_package = "com.google.cloud.aiplatform.v1"; option php_namespace = "Google\\Cloud\\AIPlatform\\V1"; option ruby_package = "Google::Cloud::AIPlatform::V1"; // A collection of metrics calculated by comparing Model's predictions on all of // the test data against annotations from the test data. message ModelEvaluation { option (google.api.resource) = { type: "aiplatform.googleapis.com/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]; // 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 // Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject). string metrics_schema_uri = 2; // 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; // Output only. Timestamp when this ModelEvaluation was created. google.protobuf.Timestamp create_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY]; // All possible // [dimensions][google.cloud.aiplatform.v1.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 = `. 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][google.cloud.aiplatform.v1.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; // Points to a YAML file stored on Google Cloud Storage describing // [EvaluatedDataItemView.predictions][], // [EvaluatedDataItemView.ground_truths][], // [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions], // and // [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.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; // 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", "row_based_metrics_path". google.protobuf.Value metadata = 11; }