Package com.google.genai.types

Class PreferenceOptimizationDataStats

java.lang.Object

com.google.genai.JsonSerializable

com.google.genai.types.PreferenceOptimizationDataStats

public abstract class PreferenceOptimizationDataStats
extends JsonSerializable

Statistics computed for datasets used for preference optimization.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	PreferenceOptimizationDataStats.Builder	Builder for PreferenceOptimizationDataStats.

Constructor Summary

Constructors

Constructor	Description
PreferenceOptimizationDataStats()

Method Summary

Modifier and Type	Method	Description
static PreferenceOptimizationDataStats.Builder	builder()	Instantiates a builder for PreferenceOptimizationDataStats.
static PreferenceOptimizationDataStats	fromJson(String jsonString)	Deserializes a JSON string to a PreferenceOptimizationDataStats object.
abstract Optional<DatasetDistribution>	scoresDistribution()	Output only.
abstract Optional<DatasetDistribution>	scoreVariancePerExampleDistribution()	Output only.
abstract PreferenceOptimizationDataStats.Builder	toBuilder()	Creates a builder with the same values as this instance.
abstract Optional<Long>	totalBillableTokenCount()	Output only.
abstract Optional<Long>	tuningDatasetExampleCount()	Output only.
abstract Optional<Long>	tuningStepCount()	Output only.
abstract Optional<List<GeminiPreferenceExample>>	userDatasetExamples()	Output only.
abstract Optional<DatasetDistribution>	userInputTokenDistribution()	Output only.
abstract Optional<DatasetDistribution>	userOutputTokenDistribution()	Output only.

Methods inherited from class com.google.genai.JsonSerializable

stringToJsonNode, toJson

Methods inherited from class java.lang.Object

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

Constructor Details

PreferenceOptimizationDataStats

public PreferenceOptimizationDataStats()

Method Details

scoreVariancePerExampleDistribution

public abstract Optional<DatasetDistribution> scoreVariancePerExampleDistribution()

Output only. Dataset distributions for scores variance per example.

scoresDistribution

public abstract Optional<DatasetDistribution> scoresDistribution()

Output only. Dataset distributions for scores.

totalBillableTokenCount

public abstract Optional<Long> totalBillableTokenCount()

Output only. Number of billable tokens in the tuning dataset.

tuningDatasetExampleCount

public abstract Optional<Long> tuningDatasetExampleCount()

Output only. Number of examples in the tuning dataset.

tuningStepCount

public abstract Optional<Long> tuningStepCount()

Output only. Number of tuning steps for this Tuning Job.

userDatasetExamples

public abstract Optional<List<GeminiPreferenceExample>> userDatasetExamples()

Output only. Sample user examples in the training dataset.

userInputTokenDistribution

public abstract Optional<DatasetDistribution> userInputTokenDistribution()

Output only. Dataset distributions for the user input tokens.

userOutputTokenDistribution

public abstract Optional<DatasetDistribution> userOutputTokenDistribution()

Output only. Dataset distributions for the user output tokens.

builder

public static PreferenceOptimizationDataStats.Builder builder()

Instantiates a builder for PreferenceOptimizationDataStats.

toBuilder

public abstract PreferenceOptimizationDataStats.Builder toBuilder()

Creates a builder with the same values as this instance.

fromJson

public static PreferenceOptimizationDataStats fromJson(String jsonString)

Deserializes a JSON string to a PreferenceOptimizationDataStats object.