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Commit58f6b8f

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tseaveremar-kar
authored andcommitted
Add 'Model.encryption_config' (via synth). (googleapis#9214)
* Add 'Model.encryption_config' (via synth).
1 parent0641e03 commit58f6b8f

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12 files changed

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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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packagegoogle.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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optiongo_package="google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
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optionjava_outer_classname="EncryptionConfigProto";
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optionjava_package="com.google.cloud.bigquery.v2";
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messageEncryptionConfiguration {
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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.StringValuekms_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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importgrpc

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

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@@ -17,13 +17,15 @@ syntax = "proto3";
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packagegoogle.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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optiongo_package="google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
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optionjava_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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rpcGetModel(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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rpcListModels(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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rpcPatchModel(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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rpcDeleteModel(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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@@ -236,7 +242,7 @@ message Model {
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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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repeatedCategoryCountcategory_counts=1;
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}
@@ -514,103 +520,105 @@ message Model {
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}
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// Output only. A hash of this resource.
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stringetag=1;
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stringetag=1 [(google.api.field_behavior) =OUTPUT_ONLY];
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// Required. Unique identifier for this model.
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ModelReferencemodel_reference=2;
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ModelReferencemodel_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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int64creation_time=5;
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// Output only. The time when this model was created, in millisecs since the epoch.
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int64creation_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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int64last_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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int64last_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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stringdescription=12;
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// Optional. A user-friendly description of this model.
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stringdescription=12 [(google.api.field_behavior) =OPTIONAL];
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//[Optional] A descriptive name for this model.
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stringfriendly_name=14;
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// Optional. A descriptive name for this model.
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stringfriendly_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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//organizeand 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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int64expiration_time=16;
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int64expiration_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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stringlocation=13;
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stringlocation=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.EncryptionConfigurationencryption_configuration=17;
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// Output only. Type of the model resource.
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ModelTypemodel_type=7;
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ModelTypemodel_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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repeatedTrainingRuntraining_runs=9;
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// Output only. Information for all training runs in increasing order of start_time.
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repeatedTrainingRuntraining_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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repeatedStandardSqlFieldfeature_columns=10;
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repeatedStandardSqlFieldfeature_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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repeatedStandardSqlFieldlabel_columns=11;
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repeatedStandardSqlFieldlabel_columns=11 [(google.api.field_behavior) =OUTPUT_ONLY];
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}
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messageGetModelRequest {
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// Project ID of the requested model.
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stringproject_id=1;
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//Required.Project ID of the requested model.
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stringproject_id=1 [(google.api.field_behavior) =REQUIRED];
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// Dataset ID of the requested model.
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stringdataset_id=2;
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//Required.Dataset ID of the requested model.
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stringdataset_id=2 [(google.api.field_behavior) =REQUIRED];
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// Model ID of the requested model.
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stringmodel_id=3;
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//Required.Model ID of the requested model.
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stringmodel_id=3 [(google.api.field_behavior) =REQUIRED];
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}
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messagePatchModelRequest {
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// Project ID of the model to patch.
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stringproject_id=1;
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//Required.Project ID of the model to patch.
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stringproject_id=1 [(google.api.field_behavior) =REQUIRED];
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// Dataset ID of the model to patch.
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stringdataset_id=2;
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//Required.Dataset ID of the model to patch.
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stringdataset_id=2 [(google.api.field_behavior) =REQUIRED];
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// Model ID of the model to patch.
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stringmodel_id=3;
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//Required.Model ID of the model to patch.
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stringmodel_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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Modelmodel=4;
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Modelmodel=4 [(google.api.field_behavior) =REQUIRED];
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}
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messageDeleteModelRequest {
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// Project ID of the model to delete.
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stringproject_id=1;
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//Required.Project ID of the model to delete.
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stringproject_id=1 [(google.api.field_behavior) =REQUIRED];
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// Dataset ID of the model to delete.
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stringdataset_id=2;
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//Required.Dataset ID of the model to delete.
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stringdataset_id=2 [(google.api.field_behavior) =REQUIRED];
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// Model ID of the model to delete.
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stringmodel_id=3;
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//Required.Model ID of the model to delete.
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stringmodel_id=3 [(google.api.field_behavior) =REQUIRED];
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}
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messageListModelsRequest {
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// Project ID of the models to list.
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stringproject_id=1;
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//Required.Project ID of the models to list.
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stringproject_id=1 [(google.api.field_behavior) =REQUIRED];
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// Dataset ID of the models to list.
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stringdataset_id=2;
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//Required.Dataset ID of the models to list.
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stringdataset_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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