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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-rev20251028-2.0.0</version>
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<version>v1-rev20251101-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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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-rev20251028-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20251101-2.0.0'
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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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clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1CustomCodeExecutionSpec.java

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@@ -38,7 +38,9 @@ public final class GoogleCloudAiplatformV1CustomCodeExecutionSpec extends com.go
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* reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` {
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* 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python
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* function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' ==
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* instance'reference': return 1.0 return 0.0 ```
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* instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in
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* Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file
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* will be converted to dict[str, Any] and passed to the evaluation function.
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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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* reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` {
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* 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python
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* function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' ==
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* instance'reference': return 1.0 return 0.0 ```
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* instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in
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* Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file
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* will be converted to dict[str, Any] and passed to the evaluation function.
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* @return value or {@code null} for none
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*/
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public java.lang.String getEvaluationFunction() {
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* reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` {
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* 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python
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* function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' ==
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* instance'reference': return 1.0 return 0.0 ```
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* instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in
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* Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file
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* will be converted to dict[str, Any] and passed to the evaluation function.
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* @param evaluationFunction evaluationFunction or {@code null} for none
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*/
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public GoogleCloudAiplatformV1CustomCodeExecutionSpec setEvaluationFunction(java.lang.String evaluationFunction) {

clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1EvaluationInstanceAgentData.java

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@@ -50,13 +50,6 @@ public final class GoogleCloudAiplatformV1EvaluationInstanceAgentData extends co
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@com.google.api.client.util.Key
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private GoogleCloudAiplatformV1EvaluationInstanceAgentDataEvents events;
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/**
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* A JSON string containing a sequence of events.
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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 eventsText;
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/**
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* List of tools.
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* The value may be {@code null}.
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return this;
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}
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/**
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* A JSON string containing a sequence of events.
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* @return value or {@code null} for none
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*/
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public java.lang.String getEventsText() {
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return eventsText;
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}
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/**
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* A JSON string containing a sequence of events.
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* @param eventsText eventsText or {@code null} for none
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*/
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public GoogleCloudAiplatformV1EvaluationInstanceAgentData setEventsText(java.lang.String eventsText) {
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this.eventsText = eventsText;
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return this;
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}
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/**
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* List of tools.
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* @return value or {@code null} for none

clients/google-api-services-aiplatform/v1/2.0.0/pom.xml

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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-rev20251028-2.0.0</version>
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<name>Vertex AI API v1-rev20251028-2.0.0</name>
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<version>v1-rev20251101-2.0.0</version>
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<name>Vertex AI API v1-rev20251101-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

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

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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-rev20251028-2.0.0</version>
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<version>v1-rev20251101-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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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-rev20251028-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20251101-2.0.0'
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}
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```
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clients/google-api-services-aiplatform/v1beta1/2.0.0/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>v1beta1-rev20251028-2.0.0</version>
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<version>v1beta1-rev20251101-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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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:v1beta1-rev20251028-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1beta1-rev20251101-2.0.0'
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}
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```
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