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104 lines
3.6 KiB
104 lines
3.6 KiB
// Copyright 2018 Google LLC.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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syntax = "proto3";
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package google.cloud.automl.v1beta1;
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import "google/api/annotations.proto";
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import "google/cloud/automl/v1beta1/image.proto";
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import "google/cloud/automl/v1beta1/tables.proto";
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import "google/cloud/automl/v1beta1/text.proto";
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import "google/cloud/automl/v1beta1/translation.proto";
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import "google/cloud/automl/v1beta1/video.proto";
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import "google/protobuf/timestamp.proto";
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option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
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option java_multiple_files = true;
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option java_package = "com.google.cloud.automl.v1beta1";
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option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
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// API proto representing a trained machine learning model.
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message Model {
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// Deployment state of the model.
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enum DeploymentState {
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// Should not be used, an un-set enum has this value by default.
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DEPLOYMENT_STATE_UNSPECIFIED = 0;
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// Model is deployed.
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DEPLOYED = 1;
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// Model is not deployed.
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UNDEPLOYED = 2;
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}
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// Required.
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// The model metadata that is specific to the problem type.
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// Must match the metadata type of the dataset used to train the model.
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oneof model_metadata {
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// Metadata for translation models.
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TranslationModelMetadata translation_model_metadata = 15;
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// Metadata for image classification models.
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ImageClassificationModelMetadata image_classification_model_metadata = 13;
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// Metadata for text classification models.
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TextClassificationModelMetadata text_classification_model_metadata = 14;
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// Metadata for image object detection models.
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ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;
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// Metadata for video classification models.
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VideoClassificationModelMetadata video_classification_model_metadata = 23;
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// Metadata for text extraction models.
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TextExtractionModelMetadata text_extraction_model_metadata = 19;
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// Metadata for Tables models.
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TablesModelMetadata tables_model_metadata = 24;
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// Metadata for text sentiment models.
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TextSentimentModelMetadata text_sentiment_model_metadata = 22;
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}
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// Output only.
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// Resource name of the model.
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// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
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string name = 1;
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// Required. The name of the model to show in the interface. The name can be
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// up to 32 characters long and can consist only of ASCII Latin letters A-Z
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// and a-z, underscores
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// (_), and ASCII digits 0-9. It must start with a letter.
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string display_name = 2;
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// Required.
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// The resource ID of the dataset used to create the model. The dataset must
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// come from the same ancestor project and location.
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string dataset_id = 3;
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// Output only.
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// Timestamp when this model was created.
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google.protobuf.Timestamp create_time = 7;
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// Output only.
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// Timestamp when this model was last updated.
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google.protobuf.Timestamp update_time = 11;
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// Output only. Deployment state of the model. A model can only serve
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// prediction requests after it gets deployed.
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DeploymentState deployment_state = 8;
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}
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