All Implemented Interfaces:


public abstract class PreferenceOptimizationDataStats.Builder

Builder for PreferenceOptimizationDataStats.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description
`PreferenceOptimizationDataStats.Builder()`

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

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

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - PreferenceOptimizationDataStats.Builder
```
PreferenceOptimizationDataStats.Builder()
```
- Method Detail
  - droppedExampleIndices
```
 abstract PreferenceOptimizationDataStats.Builder droppedExampleIndices(List<Long> droppedExampleIndices)
```
    Setter for droppedExampleIndices.
    droppedExampleIndices: Output only. A partial sample of the indices (starting from 1) of the dropped examples.
  - droppedExampleIndices
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder droppedExampleIndices(Array<Long> droppedExampleIndices)
```
    Setter for droppedExampleIndices.
    droppedExampleIndices: Output only. A partial sample of the indices (starting from 1) of the dropped examples.
  - clearDroppedExampleIndices
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearDroppedExampleIndices()
```
    Clears the value of droppedExampleIndices field.
  - droppedExampleReasons
```
 abstract PreferenceOptimizationDataStats.Builder droppedExampleReasons(List<String> droppedExampleReasons)
```
    Setter for droppedExampleReasons.
    droppedExampleReasons: Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
  - droppedExampleReasons
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder droppedExampleReasons(Array<String> droppedExampleReasons)
```
    Setter for droppedExampleReasons.
    droppedExampleReasons: Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
  - clearDroppedExampleReasons
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearDroppedExampleReasons()
```
    Clears the value of droppedExampleReasons field.
  - scoreVariancePerExampleDistribution
```
 abstract PreferenceOptimizationDataStats.Builder scoreVariancePerExampleDistribution(DatasetDistribution scoreVariancePerExampleDistribution)
```
    Setter for scoreVariancePerExampleDistribution.
    scoreVariancePerExampleDistribution: Output only. Dataset distributions for scores variance per example.
  - scoreVariancePerExampleDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder scoreVariancePerExampleDistribution(DatasetDistribution.Builder scoreVariancePerExampleDistributionBuilder)
```
    Setter for scoreVariancePerExampleDistribution builder.
    scoreVariancePerExampleDistribution: Output only. Dataset distributions for scores variance per example.
  - clearScoreVariancePerExampleDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearScoreVariancePerExampleDistribution()
```
    Clears the value of scoreVariancePerExampleDistribution field.
  - scoresDistribution
```
 abstract PreferenceOptimizationDataStats.Builder scoresDistribution(DatasetDistribution scoresDistribution)
```
    Setter for scoresDistribution.
    scoresDistribution: Output only. Dataset distributions for scores.
  - scoresDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder scoresDistribution(DatasetDistribution.Builder scoresDistributionBuilder)
```
    Setter for scoresDistribution builder.
    scoresDistribution: Output only. Dataset distributions for scores.
  - clearScoresDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearScoresDistribution()
```
    Clears the value of scoresDistribution field.
  - totalBillableTokenCount
```
 abstract PreferenceOptimizationDataStats.Builder totalBillableTokenCount(Long totalBillableTokenCount)
```
    Setter for totalBillableTokenCount.
    totalBillableTokenCount: Output only. Number of billable tokens in the tuning dataset.
  - clearTotalBillableTokenCount
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearTotalBillableTokenCount()
```
    Clears the value of totalBillableTokenCount field.
  - tuningDatasetExampleCount
```
 abstract PreferenceOptimizationDataStats.Builder tuningDatasetExampleCount(Long tuningDatasetExampleCount)
```
    Setter for tuningDatasetExampleCount.
    tuningDatasetExampleCount: Output only. Number of examples in the tuning dataset.
  - clearTuningDatasetExampleCount
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearTuningDatasetExampleCount()
```
    Clears the value of tuningDatasetExampleCount field.
  - tuningStepCount
```
 abstract PreferenceOptimizationDataStats.Builder tuningStepCount(Long tuningStepCount)
```
    Setter for tuningStepCount.
    tuningStepCount: Output only. Number of tuning steps for this Tuning Job.
  - clearTuningStepCount
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearTuningStepCount()
```
    Clears the value of tuningStepCount field.
  - userDatasetExamples
```
 abstract PreferenceOptimizationDataStats.Builder userDatasetExamples(List<GeminiPreferenceExample> userDatasetExamples)
```
    Setter for userDatasetExamples.
    userDatasetExamples: Output only. Sample user examples in the training dataset.
  - userDatasetExamples
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder userDatasetExamples(Array<GeminiPreferenceExample> userDatasetExamples)
```
    Setter for userDatasetExamples.
    userDatasetExamples: Output only. Sample user examples in the training dataset.
  - userDatasetExamples
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder userDatasetExamples(Array<GeminiPreferenceExample.Builder> userDatasetExamplesBuilders)
```
    Setter for userDatasetExamples builder.
    userDatasetExamples: Output only. Sample user examples in the training dataset.
  - clearUserDatasetExamples
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearUserDatasetExamples()
```
    Clears the value of userDatasetExamples field.
  - userInputTokenDistribution
```
 abstract PreferenceOptimizationDataStats.Builder userInputTokenDistribution(DatasetDistribution userInputTokenDistribution)
```
    Setter for userInputTokenDistribution.
    userInputTokenDistribution: Output only. Dataset distributions for the user input tokens.
  - userInputTokenDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder userInputTokenDistribution(DatasetDistribution.Builder userInputTokenDistributionBuilder)
```
    Setter for userInputTokenDistribution builder.
    userInputTokenDistribution: Output only. Dataset distributions for the user input tokens.
  - clearUserInputTokenDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearUserInputTokenDistribution()
```
    Clears the value of userInputTokenDistribution field.
  - userOutputTokenDistribution
```
 abstract PreferenceOptimizationDataStats.Builder userOutputTokenDistribution(DatasetDistribution userOutputTokenDistribution)
```
    Setter for userOutputTokenDistribution.
    userOutputTokenDistribution: Output only. Dataset distributions for the user output tokens.
  - userOutputTokenDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder userOutputTokenDistribution(DatasetDistribution.Builder userOutputTokenDistributionBuilder)
```
    Setter for userOutputTokenDistribution builder.
    userOutputTokenDistribution: Output only. Dataset distributions for the user output tokens.
  - clearUserOutputTokenDistribution
```
@CanIgnoreReturnValue() PreferenceOptimizationDataStats.Builder clearUserOutputTokenDistribution()
```
    Clears the value of userOutputTokenDistribution field.
  - build
```
 abstract PreferenceOptimizationDataStats build()
```

Class PreferenceOptimizationDataStats.Builder

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

PreferenceOptimizationDataStats.Builder

Method Detail

droppedExampleIndices

droppedExampleIndices

clearDroppedExampleIndices

droppedExampleReasons

droppedExampleReasons

clearDroppedExampleReasons

scoreVariancePerExampleDistribution

scoreVariancePerExampleDistribution

clearScoreVariancePerExampleDistribution

scoresDistribution

scoresDistribution

clearScoresDistribution

totalBillableTokenCount

clearTotalBillableTokenCount

tuningDatasetExampleCount

clearTuningDatasetExampleCount

tuningStepCount

clearTuningStepCount

userDatasetExamples

userDatasetExamples

userDatasetExamples

clearUserDatasetExamples

userInputTokenDistribution

userInputTokenDistribution

clearUserInputTokenDistribution

userOutputTokenDistribution

userOutputTokenDistribution

clearUserOutputTokenDistribution

build