// Copyright 2020 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.v1beta1;

import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/aiplatform/v1beta1/explanation.proto";
import "google/protobuf/struct.proto";
import "google/protobuf/timestamp.proto";
import "google/api/annotations.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
option java_multiple_files = true;
option java_outer_classname = "ModelEvaluationProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";

// 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}"
  };

  // 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
  // [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
  // defined as an OpenAPI 3.0.2
  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
  string metrics_schema_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

  // Output only. 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];

  // 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
  // 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];

  // Output only. 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];
}