Package com.google.genai.types

Class PreferenceOptimizationDataStats.Builder

java.lang.Object

com.google.genai.types.PreferenceOptimizationDataStats.Builder

Enclosing class:

PreferenceOptimizationDataStats

public abstract static class PreferenceOptimizationDataStats.Builder
extends Object

Builder for PreferenceOptimizationDataStats.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
abstract PreferenceOptimizationDataStats	build()
PreferenceOptimizationDataStats.Builder	clearScoresDistribution()	Clears the value of scoresDistribution field.
PreferenceOptimizationDataStats.Builder	clearScoreVariancePerExampleDistribution()	Clears the value of scoreVariancePerExampleDistribution field.
PreferenceOptimizationDataStats.Builder	clearTotalBillableTokenCount()	Clears the value of totalBillableTokenCount field.
PreferenceOptimizationDataStats.Builder	clearTuningDatasetExampleCount()	Clears the value of tuningDatasetExampleCount field.
PreferenceOptimizationDataStats.Builder	clearTuningStepCount()	Clears the value of tuningStepCount field.
PreferenceOptimizationDataStats.Builder	clearUserDatasetExamples()	Clears the value of userDatasetExamples field.
PreferenceOptimizationDataStats.Builder	clearUserInputTokenDistribution()	Clears the value of userInputTokenDistribution field.
PreferenceOptimizationDataStats.Builder	clearUserOutputTokenDistribution()	Clears the value of userOutputTokenDistribution field.
abstract PreferenceOptimizationDataStats.Builder	scoresDistribution(DatasetDistribution scoresDistribution)	Setter for scoresDistribution.
PreferenceOptimizationDataStats.Builder	scoresDistribution(DatasetDistribution.Builder scoresDistributionBuilder)	Setter for scoresDistribution builder.
abstract PreferenceOptimizationDataStats.Builder	scoreVariancePerExampleDistribution(DatasetDistribution scoreVariancePerExampleDistribution)	Setter for scoreVariancePerExampleDistribution.
PreferenceOptimizationDataStats.Builder	scoreVariancePerExampleDistribution(DatasetDistribution.Builder scoreVariancePerExampleDistributionBuilder)	Setter for scoreVariancePerExampleDistribution builder.
abstract PreferenceOptimizationDataStats.Builder	totalBillableTokenCount(Long totalBillableTokenCount)	Setter for totalBillableTokenCount.
abstract PreferenceOptimizationDataStats.Builder	tuningDatasetExampleCount(Long tuningDatasetExampleCount)	Setter for tuningDatasetExampleCount.
abstract PreferenceOptimizationDataStats.Builder	tuningStepCount(Long tuningStepCount)	Setter for tuningStepCount.
PreferenceOptimizationDataStats.Builder	userDatasetExamples(GeminiPreferenceExample... userDatasetExamples)	Setter for userDatasetExamples.
PreferenceOptimizationDataStats.Builder	userDatasetExamples(GeminiPreferenceExample.Builder... userDatasetExamplesBuilders)	Setter for userDatasetExamples builder.
abstract PreferenceOptimizationDataStats.Builder	userDatasetExamples(List<GeminiPreferenceExample> userDatasetExamples)	Setter for userDatasetExamples.
abstract PreferenceOptimizationDataStats.Builder	userInputTokenDistribution(DatasetDistribution userInputTokenDistribution)	Setter for userInputTokenDistribution.
PreferenceOptimizationDataStats.Builder	userInputTokenDistribution(DatasetDistribution.Builder userInputTokenDistributionBuilder)	Setter for userInputTokenDistribution builder.
abstract PreferenceOptimizationDataStats.Builder	userOutputTokenDistribution(DatasetDistribution userOutputTokenDistribution)	Setter for userOutputTokenDistribution.
PreferenceOptimizationDataStats.Builder	userOutputTokenDistribution(DatasetDistribution.Builder userOutputTokenDistributionBuilder)	Setter for userOutputTokenDistribution builder.

Methods inherited from class java.lang.Object

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

Constructor Details

Builder

public Builder()

Method Details

scoreVariancePerExampleDistribution

public abstract PreferenceOptimizationDataStats.Builder scoreVariancePerExampleDistribution(DatasetDistribution scoreVariancePerExampleDistribution)

Setter for scoreVariancePerExampleDistribution.

scoreVariancePerExampleDistribution: Output only. Dataset distributions for scores variance per example.

scoreVariancePerExampleDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder scoreVariancePerExampleDistribution(DatasetDistribution.Builder scoreVariancePerExampleDistributionBuilder)

Setter for scoreVariancePerExampleDistribution builder.

scoreVariancePerExampleDistribution: Output only. Dataset distributions for scores variance per example.

clearScoreVariancePerExampleDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearScoreVariancePerExampleDistribution()

Clears the value of scoreVariancePerExampleDistribution field.

scoresDistribution

public abstract PreferenceOptimizationDataStats.Builder scoresDistribution(DatasetDistribution scoresDistribution)

Setter for scoresDistribution.

scoresDistribution: Output only. Dataset distributions for scores.

scoresDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder scoresDistribution(DatasetDistribution.Builder scoresDistributionBuilder)

Setter for scoresDistribution builder.

scoresDistribution: Output only. Dataset distributions for scores.

clearScoresDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearScoresDistribution()

Clears the value of scoresDistribution field.

totalBillableTokenCount

public abstract PreferenceOptimizationDataStats.Builder totalBillableTokenCount(Long totalBillableTokenCount)

Setter for totalBillableTokenCount.

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

clearTotalBillableTokenCount

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearTotalBillableTokenCount()

Clears the value of totalBillableTokenCount field.

tuningDatasetExampleCount

public abstract PreferenceOptimizationDataStats.Builder tuningDatasetExampleCount(Long tuningDatasetExampleCount)

Setter for tuningDatasetExampleCount.

tuningDatasetExampleCount: Output only. Number of examples in the tuning dataset.

clearTuningDatasetExampleCount

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearTuningDatasetExampleCount()

Clears the value of tuningDatasetExampleCount field.

tuningStepCount

public abstract PreferenceOptimizationDataStats.Builder tuningStepCount(Long tuningStepCount)

Setter for tuningStepCount.

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

clearTuningStepCount

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearTuningStepCount()

Clears the value of tuningStepCount field.

userDatasetExamples

public abstract PreferenceOptimizationDataStats.Builder userDatasetExamples(List<GeminiPreferenceExample> userDatasetExamples)

Setter for userDatasetExamples.

userDatasetExamples: Output only. Sample user examples in the training dataset.

userDatasetExamples

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder userDatasetExamples(GeminiPreferenceExample... userDatasetExamples)

Setter for userDatasetExamples.

userDatasetExamples: Output only. Sample user examples in the training dataset.

userDatasetExamples

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder userDatasetExamples(GeminiPreferenceExample.Builder... userDatasetExamplesBuilders)

Setter for userDatasetExamples builder.

userDatasetExamples: Output only. Sample user examples in the training dataset.

clearUserDatasetExamples

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearUserDatasetExamples()

Clears the value of userDatasetExamples field.

userInputTokenDistribution

public abstract PreferenceOptimizationDataStats.Builder userInputTokenDistribution(DatasetDistribution userInputTokenDistribution)

Setter for userInputTokenDistribution.

userInputTokenDistribution: Output only. Dataset distributions for the user input tokens.

userInputTokenDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder userInputTokenDistribution(DatasetDistribution.Builder userInputTokenDistributionBuilder)

Setter for userInputTokenDistribution builder.

userInputTokenDistribution: Output only. Dataset distributions for the user input tokens.

clearUserInputTokenDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearUserInputTokenDistribution()

Clears the value of userInputTokenDistribution field.

userOutputTokenDistribution

public abstract PreferenceOptimizationDataStats.Builder userOutputTokenDistribution(DatasetDistribution userOutputTokenDistribution)

Setter for userOutputTokenDistribution.

userOutputTokenDistribution: Output only. Dataset distributions for the user output tokens.

userOutputTokenDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder userOutputTokenDistribution(DatasetDistribution.Builder userOutputTokenDistributionBuilder)

Setter for userOutputTokenDistribution builder.

userOutputTokenDistribution: Output only. Dataset distributions for the user output tokens.

clearUserOutputTokenDistribution

@CanIgnoreReturnValue
public PreferenceOptimizationDataStats.Builder clearUserOutputTokenDistribution()

Clears the value of userOutputTokenDistribution field.

build

public abstract PreferenceOptimizationDataStats build()