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Add 'Model.encryption_config' (via synth). (#9214)
* Add 'Model.encryption_config' (via synth).
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// Copyright 2019 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.bigquery.v2;
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import "google/api/field_behavior.proto";
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import "google/protobuf/wrappers.proto";
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import "google/api/annotations.proto";
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option go_package = "google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
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option java_outer_classname = "EncryptionConfigProto";
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option java_package = "com.google.cloud.bigquery.v2";
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message EncryptionConfiguration {
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// Optional. Describes the Cloud KMS encryption key that will be used to
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// protect destination BigQuery table. The BigQuery Service Account associated
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// with your project requires access to this encryption key.
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google.protobuf.StringValue kms_key_name = 1 [(google.api.field_behavior) = OPTIONAL];
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}

bigquery/google/cloud/bigquery_v2/proto/encryption_config_pb2.py

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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
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import grpc

bigquery/google/cloud/bigquery_v2/proto/model.proto

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package google.cloud.bigquery.v2;
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import "google/api/client.proto";
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import "google/api/field_behavior.proto";
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import "google/cloud/bigquery/v2/encryption_config.proto";
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import "google/cloud/bigquery/v2/model_reference.proto";
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import "google/cloud/bigquery/v2/standard_sql.proto";
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import "google/protobuf/empty.proto";
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import "google/protobuf/timestamp.proto";
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import "google/protobuf/wrappers.proto";
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import "google/api/annotations.proto";
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import "google/api/client.proto";
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option go_package = "google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
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option java_outer_classname = "ModelProto";
@@ -39,19 +41,23 @@ service ModelService {
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// Gets the specified model resource by model ID.
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rpc GetModel(GetModelRequest) returns (Model) {
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option (google.api.method_signature) = "project_id,dataset_id,model_id";
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}
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// Lists all models in the specified dataset. Requires the READER dataset
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// role.
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rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
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option (google.api.method_signature) = "project_id,dataset_id,max_results";
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}
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// Patch specific fields in the specified model.
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rpc PatchModel(PatchModelRequest) returns (Model) {
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option (google.api.method_signature) = "project_id,dataset_id,model_id,model";
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}
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// Deletes the model specified by modelId from the dataset.
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rpc DeleteModel(DeleteModelRequest) returns (google.protobuf.Empty) {
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option (google.api.method_signature) = "project_id,dataset_id,model_id";
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}
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}
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// Counts of all categories for the categorical feature. If there are
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// more than ten categories, we return top ten (by count) and return
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// one more CategoryCount with category _OTHER_ and count as
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// one more CategoryCount with category "_OTHER_" and count as
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// aggregate counts of remaining categories.
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repeated CategoryCount category_counts = 1;
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}
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}
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// Output only. A hash of this resource.
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string etag = 1;
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string etag = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Required. Unique identifier for this model.
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ModelReference model_reference = 2;
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ModelReference model_reference = 2 [(google.api.field_behavior) = REQUIRED];
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// Output only. The time when this model was created, in millisecs since the
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// epoch.
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int64 creation_time = 5;
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// Output only. The time when this model was created, in millisecs since the epoch.
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int64 creation_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Output only. The time when this model was last modified, in millisecs
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// since the epoch.
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int64 last_modified_time = 6;
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// Output only. The time when this model was last modified, in millisecs since the epoch.
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int64 last_modified_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
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// [Optional] A user-friendly description of this model.
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string description = 12;
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// Optional. A user-friendly description of this model.
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string description = 12 [(google.api.field_behavior) = OPTIONAL];
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// [Optional] A descriptive name for this model.
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string friendly_name = 14;
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// Optional. A descriptive name for this model.
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string friendly_name = 14 [(google.api.field_behavior) = OPTIONAL];
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// [Optional] The labels associated with this model. You can use these to
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// organize and group your models. Label keys and values can be no longer
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// The labels associated with this model. You can use these to organize
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// and group your models. Label keys and values can be no longer
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// than 63 characters, can only contain lowercase letters, numeric
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// characters, underscores and dashes. International characters are allowed.
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// Label values are optional. Label keys must start with a letter and each
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// label in the list must have a different key.
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map<string, string> labels = 15;
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// [Optional] The time when this model expires, in milliseconds since the
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// epoch. If not present, the model will persist indefinitely. Expired models
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// Optional. The time when this model expires, in milliseconds since the epoch.
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// If not present, the model will persist indefinitely. Expired models
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// will be deleted and their storage reclaimed. The defaultTableExpirationMs
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// property of the encapsulating dataset can be used to set a default
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// expirationTime on newly created models.
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int64 expiration_time = 16;
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int64 expiration_time = 16 [(google.api.field_behavior) = OPTIONAL];
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// Output only. The geographic location where the model resides. This value
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// is inherited from the dataset.
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string location = 13;
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string location = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Custom encryption configuration (e.g., Cloud KMS keys). This shows the
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// encryption configuration of the model data while stored in BigQuery
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// storage.
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google.cloud.bigquery.v2.EncryptionConfiguration encryption_configuration = 17;
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// Output only. Type of the model resource.
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ModelType model_type = 7;
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ModelType model_type = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Output only. Information for all training runs in increasing order of
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// start_time.
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repeated TrainingRun training_runs = 9;
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// Output only. Information for all training runs in increasing order of start_time.
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repeated TrainingRun training_runs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Output only. Input feature columns that were used to train this model.
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repeated StandardSqlField feature_columns = 10;
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repeated StandardSqlField feature_columns = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
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// Output only. Label columns that were used to train this model.
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// The output of the model will have a "predicted_" prefix to these columns.
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repeated StandardSqlField label_columns = 11;
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repeated StandardSqlField label_columns = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
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}
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message GetModelRequest {
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// Project ID of the requested model.
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string project_id = 1;
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// Required. Project ID of the requested model.
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string project_id = 1 [(google.api.field_behavior) = REQUIRED];
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// Dataset ID of the requested model.
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string dataset_id = 2;
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// Required. Dataset ID of the requested model.
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string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
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// Model ID of the requested model.
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string model_id = 3;
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// Required. Model ID of the requested model.
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string model_id = 3 [(google.api.field_behavior) = REQUIRED];
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}
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message PatchModelRequest {
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// Project ID of the model to patch.
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string project_id = 1;
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// Required. Project ID of the model to patch.
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string project_id = 1 [(google.api.field_behavior) = REQUIRED];
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// Dataset ID of the model to patch.
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string dataset_id = 2;
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// Required. Dataset ID of the model to patch.
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string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
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// Model ID of the model to patch.
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string model_id = 3;
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// Required. Model ID of the model to patch.
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string model_id = 3 [(google.api.field_behavior) = REQUIRED];
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// Patched model.
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// Required. Patched model.
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// Follows RFC5789 patch semantics. Missing fields are not updated.
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// To clear a field, explicitly set to default value.
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Model model = 4;
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Model model = 4 [(google.api.field_behavior) = REQUIRED];
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}
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message DeleteModelRequest {
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// Project ID of the model to delete.
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string project_id = 1;
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// Required. Project ID of the model to delete.
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string project_id = 1 [(google.api.field_behavior) = REQUIRED];
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// Dataset ID of the model to delete.
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string dataset_id = 2;
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// Required. Dataset ID of the model to delete.
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string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
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// Model ID of the model to delete.
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string model_id = 3;
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// Required. Model ID of the model to delete.
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string model_id = 3 [(google.api.field_behavior) = REQUIRED];
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}
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message ListModelsRequest {
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// Project ID of the models to list.
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string project_id = 1;
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// Required. Project ID of the models to list.
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string project_id = 1 [(google.api.field_behavior) = REQUIRED];
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// Dataset ID of the models to list.
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string dataset_id = 2;
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// Required. Dataset ID of the models to list.
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string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
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// The maximum number of results to return in a single response page.
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// Leverage the page tokens to iterate through the entire collection.

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