Package com.google.genai

Class Tunings

java.lang.Object

com.google.genai.Tunings

public final class Tunings
extends Object

Constructor Summary

Constructors

Constructor	Description
Tunings(com.google.genai.ApiClient apiClient)

Method Summary

Modifier and Type	Method	Description
void	cancel(String name, CancelTuningJobConfig config)	Cancels a tuning job resource.
TuningJob	get(String name, GetTuningJobConfig config)	Makes an API request to get a tuning job.
Pager<TuningJob>	list(ListTuningJobsConfig config)	Makes an API request to list the available tuning jobs.
TuningJob	tune(String baseModel, TuningDataset trainingDataset, CreateTuningJobConfig config)	Makes an API request to create a supervised fine-tuning job.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Tunings

public Tunings(com.google.genai.ApiClient apiClient)

Method Details

cancel

public void cancel(String name,
 CancelTuningJobConfig config)

Cancels a tuning job resource.

Parameters:

name - The resource name of the tuning job. For Vertex, this is the full resource name. For Gemini API, this is `tunedModels/{id}`.

config - A CancelTuningJobConfig for configuring the cancel request.

get

public TuningJob get(String name,
 GetTuningJobConfig config)

Makes an API request to get a tuning job.

Parameters:

name - The resource name of the tuning job.

config - A GetTuningJobConfig for configuring the get request.

Returns:

A TuningJob object.

list

public Pager<TuningJob> list(ListTuningJobsConfig config)

Makes an API request to list the available tuning jobs.

Parameters:

config - A ListTuningJobsConfig for configuring the list request.

Returns:

A Pager object that contains the list of tuning jobs. The pager is an iterable and automatically queries the next page once the current page is exhausted.

tune

public TuningJob tune(String baseModel,
 TuningDataset trainingDataset,
 CreateTuningJobConfig config)

Makes an API request to create a supervised fine-tuning job.

This method is experimental.

Parameters:

baseModel - The base model to tune.

trainingDataset - The training dataset to use for tuning.

config - A CreateTuningJobConfig for configuring the create request.

Returns:

A TuningJob object.