xref: /aosp_15_r20/external/googleapis/google/cloud/automl/v1beta1/model.proto (revision d5c09012810ac0c9f33fe448fb6da8260d444cc9)

// 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.automl.v1beta1;

import "google/api/resource.proto";
import "google/cloud/automl/v1beta1/image.proto";
import "google/cloud/automl/v1beta1/tables.proto";
import "google/cloud/automl/v1beta1/text.proto";
import "google/cloud/automl/v1beta1/translation.proto";
import "google/cloud/automl/v1beta1/video.proto";
import "google/protobuf/timestamp.proto";

option go_package = "cloud.google.com/go/automl/apiv1beta1/automlpb;automlpb";
option java_multiple_files = true;
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
option ruby_package = "Google::Cloud::AutoML::V1beta1";

// API proto representing a trained machine learning model.
message Model {
  option (google.api.resource) = {
    type: "automl.googleapis.com/Model"
    pattern: "projects/{project}/locations/{location}/models/{model}"
  };

  // Deployment state of the model.
  enum DeploymentState {
    // Should not be used, an un-set enum has this value by default.
    DEPLOYMENT_STATE_UNSPECIFIED = 0;

    // Model is deployed.
    DEPLOYED = 1;

    // Model is not deployed.
    UNDEPLOYED = 2;
  }

  // Required.
  // The model metadata that is specific to the problem type.
  // Must match the metadata type of the dataset used to train the model.
  oneof model_metadata {
    // Metadata for translation models.
    TranslationModelMetadata translation_model_metadata = 15;

    // Metadata for image classification models.
    ImageClassificationModelMetadata image_classification_model_metadata = 13;

    // Metadata for text classification models.
    TextClassificationModelMetadata text_classification_model_metadata = 14;

    // Metadata for image object detection models.
    ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

    // Metadata for video classification models.
    VideoClassificationModelMetadata video_classification_model_metadata = 23;

    // Metadata for video object tracking models.
    VideoObjectTrackingModelMetadata video_object_tracking_model_metadata = 21;

    // Metadata for text extraction models.
    TextExtractionModelMetadata text_extraction_model_metadata = 19;

    // Metadata for Tables models.
    TablesModelMetadata tables_model_metadata = 24;

    // Metadata for text sentiment models.
    TextSentimentModelMetadata text_sentiment_model_metadata = 22;
  }

  // Output only. Resource name of the model.
  // Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
  string name = 1;

  // Required. The name of the model to show in the interface. The name can be
  // up to 32 characters long and can consist only of ASCII Latin letters A-Z
  // and a-z, underscores
  // (_), and ASCII digits 0-9. It must start with a letter.
  string display_name = 2;

  // Required. The resource ID of the dataset used to create the model. The dataset must
  // come from the same ancestor project and location.
  string dataset_id = 3;

  // Output only. Timestamp when the model training finished  and can be used for prediction.
  google.protobuf.Timestamp create_time = 7;

  // Output only. Timestamp when this model was last updated.
  google.protobuf.Timestamp update_time = 11;

  // Output only. Deployment state of the model. A model can only serve
  // prediction requests after it gets deployed.
  DeploymentState deployment_state = 8;
}