google-genai-kotlin/com.google.genai.kotlin.types/PreferenceOptimizationDataStats

PreferenceOptimizationDataStats

@Serializable
data class PreferenceOptimizationDataStats(val droppedExampleIndices: List<Long>? = null, val droppedExampleReasons: List<String>? = null, val scoreVariancePerExampleDistribution: DatasetDistribution? = null, val scoresDistribution: DatasetDistribution? = null, val totalBillableTokenCount: Long? = null, val tuningDatasetExampleCount: Long? = null, val tuningStepCount: Long? = null, val userDatasetExamples: List<GeminiPreferenceExample>? = null, val userInputTokenDistribution: DatasetDistribution? = null, val userOutputTokenDistribution: DatasetDistribution? = null)

Statistics computed for datasets used for preference optimization. This data type is not supported in Gemini API.

Constructors

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constructor(droppedExampleIndices: List<Long>? = null, droppedExampleReasons: List<String>? = null, scoreVariancePerExampleDistribution: DatasetDistribution? = null, scoresDistribution: DatasetDistribution? = null, totalBillableTokenCount: Long? = null, tuningDatasetExampleCount: Long? = null, tuningStepCount: Long? = null, userDatasetExamples: List<GeminiPreferenceExample>? = null, userInputTokenDistribution: DatasetDistribution? = null, userOutputTokenDistribution: DatasetDistribution? = null)

Properties

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val droppedExampleIndices: List<Long>? = null

Output only. A partial sample of the indices (starting from 1) of the dropped examples.

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val droppedExampleReasons: List<String>? = null

Output only. For each index in dropped_example_indices, the user-facing reason why the example was dropped.

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val scoresDistribution: DatasetDistribution? = null

Output only. Dataset distributions for scores.

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val scoreVariancePerExampleDistribution: DatasetDistribution? = null

Output only. Dataset distributions for scores variance per example.

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val totalBillableTokenCount: Long? = null

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

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val tuningDatasetExampleCount: Long? = null

Output only. Number of examples in the tuning dataset.

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val tuningStepCount: Long? = null

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

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val userDatasetExamples: List<GeminiPreferenceExample>? = null

Output only. Sample user examples in the training dataset.

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val userInputTokenDistribution: DatasetDistribution? = null

Output only. Dataset distributions for the user input tokens.

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val userOutputTokenDistribution: DatasetDistribution? = null

Output only. Dataset distributions for the user output tokens.