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clients/google-api-services-aiplatform/v1/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20250825-2.0.0</version>
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<version>v1-rev20250902-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
@@ -35,7 +35,7 @@ repositories {
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250825-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20250902-2.0.0'
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}
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```
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clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/Aiplatform.java

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/*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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* in compliance with the License. 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 distributed under the License
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* is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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* or implied. See the License for the specific language governing permissions and limitations under
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* the License.
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*/
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/*
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* This code was generated by https://github.com/googleapis/google-api-java-client-services/
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* Modify at your own risk.
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*/
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package com.google.api.services.aiplatform.v1.model;
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/**
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* The request set for the evaluation run.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
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* <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
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* </p>
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*
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* @author Google, Inc.
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*/
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@SuppressWarnings("javadoc")
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public final class GoogleCloudAiplatformV1BigQueryRequestSet extends com.google.api.client.json.GenericJson {
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/**
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* Optional. Map of candidate name to candidate response column name. The column will be in
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* evaluation_item.CandidateResponse format.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.util.Map<String, java.lang.String> candidateResponseColumns;
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/**
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* Optional. The name of the column that contains the requests to evaluate. This will be in
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* evaluation_item.EvalPrompt format.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String promptColumn;
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/**
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* Optional. The name of the column that contains the rubrics. This will be in
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* evaluation_rubric.RubricGroup format (cl/762595858).
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String rubricsColumn;
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/**
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* Optional. The sampling config for the bigquery resource.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig samplingConfig;
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/**
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* Required. The URI of a BigQuery table. e.g. bq://projectId.bqDatasetId.bqTableId
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String uri;
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/**
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* Optional. Map of candidate name to candidate response column name. The column will be in
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* evaluation_item.CandidateResponse format.
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* @return value or {@code null} for none
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*/
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public java.util.Map<String, java.lang.String> getCandidateResponseColumns() {
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return candidateResponseColumns;
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}
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/**
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* Optional. Map of candidate name to candidate response column name. The column will be in
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* evaluation_item.CandidateResponse format.
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* @param candidateResponseColumns candidateResponseColumns or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSet setCandidateResponseColumns(java.util.Map<String, java.lang.String> candidateResponseColumns) {
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this.candidateResponseColumns = candidateResponseColumns;
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return this;
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}
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/**
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* Optional. The name of the column that contains the requests to evaluate. This will be in
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* evaluation_item.EvalPrompt format.
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* @return value or {@code null} for none
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*/
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public java.lang.String getPromptColumn() {
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return promptColumn;
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}
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/**
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* Optional. The name of the column that contains the requests to evaluate. This will be in
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* evaluation_item.EvalPrompt format.
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* @param promptColumn promptColumn or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSet setPromptColumn(java.lang.String promptColumn) {
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this.promptColumn = promptColumn;
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return this;
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}
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/**
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* Optional. The name of the column that contains the rubrics. This will be in
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* evaluation_rubric.RubricGroup format (cl/762595858).
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* @return value or {@code null} for none
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*/
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public java.lang.String getRubricsColumn() {
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return rubricsColumn;
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}
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/**
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* Optional. The name of the column that contains the rubrics. This will be in
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* evaluation_rubric.RubricGroup format (cl/762595858).
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* @param rubricsColumn rubricsColumn or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSet setRubricsColumn(java.lang.String rubricsColumn) {
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this.rubricsColumn = rubricsColumn;
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return this;
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}
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/**
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* Optional. The sampling config for the bigquery resource.
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* @return value or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig getSamplingConfig() {
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return samplingConfig;
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}
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/**
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* Optional. The sampling config for the bigquery resource.
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* @param samplingConfig samplingConfig or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSet setSamplingConfig(GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig samplingConfig) {
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this.samplingConfig = samplingConfig;
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return this;
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}
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/**
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* Required. The URI of a BigQuery table. e.g. bq://projectId.bqDatasetId.bqTableId
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* @return value or {@code null} for none
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*/
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public java.lang.String getUri() {
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return uri;
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}
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/**
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* Required. The URI of a BigQuery table. e.g. bq://projectId.bqDatasetId.bqTableId
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* @param uri uri or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSet setUri(java.lang.String uri) {
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this.uri = uri;
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return this;
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}
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@Override
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public GoogleCloudAiplatformV1BigQueryRequestSet set(String fieldName, Object value) {
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return (GoogleCloudAiplatformV1BigQueryRequestSet) super.set(fieldName, value);
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}
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@Override
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public GoogleCloudAiplatformV1BigQueryRequestSet clone() {
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return (GoogleCloudAiplatformV1BigQueryRequestSet) super.clone();
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}
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}
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/*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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* in compliance with the License. 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 distributed under the License
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* is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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* or implied. See the License for the specific language governing permissions and limitations under
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* the License.
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*/
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/*
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* This code was generated by https://github.com/googleapis/google-api-java-client-services/
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* Modify at your own risk.
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*/
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package com.google.api.services.aiplatform.v1.model;
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/**
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* The sampling config.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
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* <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
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* </p>
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*
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* @author Google, Inc.
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*/
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@SuppressWarnings("javadoc")
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public final class GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig extends com.google.api.client.json.GenericJson {
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/**
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* Optional. The total number of logged data to import. If available data is less than the
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* sampling count, all data will be imported. Default is 100.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.Integer samplingCount;
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/**
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* Optional. How long to wait before sampling data from the BigQuery table. If not specified,
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* defaults to 0.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private String samplingDuration;
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/**
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* Optional. The sampling method to use.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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private java.lang.String samplingMethod;
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/**
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* Optional. The total number of logged data to import. If available data is less than the
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* sampling count, all data will be imported. Default is 100.
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* @return value or {@code null} for none
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*/
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public java.lang.Integer getSamplingCount() {
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return samplingCount;
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}
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/**
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* Optional. The total number of logged data to import. If available data is less than the
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* sampling count, all data will be imported. Default is 100.
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* @param samplingCount samplingCount or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig setSamplingCount(java.lang.Integer samplingCount) {
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this.samplingCount = samplingCount;
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return this;
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}
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/**
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* Optional. How long to wait before sampling data from the BigQuery table. If not specified,
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* defaults to 0.
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* @return value or {@code null} for none
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*/
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public String getSamplingDuration() {
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return samplingDuration;
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}
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/**
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* Optional. How long to wait before sampling data from the BigQuery table. If not specified,
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* defaults to 0.
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* @param samplingDuration samplingDuration or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig setSamplingDuration(String samplingDuration) {
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this.samplingDuration = samplingDuration;
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return this;
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}
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/**
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* Optional. The sampling method to use.
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* @return value or {@code null} for none
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*/
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public java.lang.String getSamplingMethod() {
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return samplingMethod;
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}
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/**
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* Optional. The sampling method to use.
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* @param samplingMethod samplingMethod or {@code null} for none
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*/
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig setSamplingMethod(java.lang.String samplingMethod) {
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this.samplingMethod = samplingMethod;
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return this;
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}
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@Override
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig set(String fieldName, Object value) {
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return (GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig) super.set(fieldName, value);
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}
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@Override
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public GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig clone() {
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return (GoogleCloudAiplatformV1BigQueryRequestSetSamplingConfig) super.clone();
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}
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}
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/*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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* in compliance with the License. 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 distributed under the License
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* is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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* or implied. See the License for the specific language governing permissions and limitations under
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* the License.
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*/
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/*
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* This code was generated by https://github.com/googleapis/google-api-java-client-services/
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* Modify at your own risk.
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*/
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package com.google.api.services.aiplatform.v1.model;
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/**
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* Request message for EvaluationManagementService.CancelEvaluationRun.
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*
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* <p> This is the Java data model class that specifies how to parse/serialize into the JSON that is
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* transmitted over HTTP when working with the Vertex AI API. For a detailed explanation see:
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* <a href="https://developers.google.com/api-client-library/java/google-http-java-client/json">https://developers.google.com/api-client-library/java/google-http-java-client/json</a>
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* </p>
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*
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* @author Google, Inc.
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*/
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@SuppressWarnings("javadoc")
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public final class GoogleCloudAiplatformV1CancelEvaluationRunRequest extends com.google.api.client.json.GenericJson {
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@Override
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public GoogleCloudAiplatformV1CancelEvaluationRunRequest set(String fieldName, Object value) {
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return (GoogleCloudAiplatformV1CancelEvaluationRunRequest) super.set(fieldName, value);
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}
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@Override
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public GoogleCloudAiplatformV1CancelEvaluationRunRequest clone() {
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return (GoogleCloudAiplatformV1CancelEvaluationRunRequest) super.clone();
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}
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}

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