Class PreferenceOptimizationDataStats
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public abstract class PreferenceOptimizationDataStats extends JsonSerializable
Statistics computed for datasets used for preference optimization. This data type is not supported in Gemini API.
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Nested Class Summary
Nested Classes Modifier and Type Class Description public abstract classPreferenceOptimizationDataStats.BuilderBuilder for PreferenceOptimizationDataStats.
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Field Summary
Fields Modifier and Type Field Description public final static StringMAX_READ_LENGTH_PROPERTY
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Constructor Summary
Constructors Constructor Description PreferenceOptimizationDataStats()
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Method Summary
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Methods inherited from class com.google.genai.JsonSerializable
fromJsonNode, fromJsonString, objectMapper, setMaxReadLength, stringToJsonNode, toJson, toJsonNode, toJsonString -
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Method Detail
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droppedExampleIndices
abstract Optional<List<Long>> droppedExampleIndices()
Output only. A partial sample of the indices (starting from 1) of the dropped examples.
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droppedExampleReasons
abstract Optional<List<String>> droppedExampleReasons()
Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
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scoreVariancePerExampleDistribution
abstract Optional<DatasetDistribution> scoreVariancePerExampleDistribution()
Output only. Dataset distributions for scores variance per example.
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scoresDistribution
abstract Optional<DatasetDistribution> scoresDistribution()
Output only. Dataset distributions for scores.
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totalBillableTokenCount
abstract Optional<Long> totalBillableTokenCount()
Output only. Number of billable tokens in the tuning dataset.
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tuningDatasetExampleCount
abstract Optional<Long> tuningDatasetExampleCount()
Output only. Number of examples in the tuning dataset.
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tuningStepCount
abstract Optional<Long> tuningStepCount()
Output only. Number of tuning steps for this Tuning Job.
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userDatasetExamples
abstract Optional<List<GeminiPreferenceExample>> userDatasetExamples()
Output only. Sample user examples in the training dataset.
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userInputTokenDistribution
abstract Optional<DatasetDistribution> userInputTokenDistribution()
Output only. Dataset distributions for the user input tokens.
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userOutputTokenDistribution
abstract Optional<DatasetDistribution> userOutputTokenDistribution()
Output only. Dataset distributions for the user output tokens.
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builder
static PreferenceOptimizationDataStats.Builder builder()
Instantiates a builder for PreferenceOptimizationDataStats.
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toBuilder
abstract PreferenceOptimizationDataStats.Builder toBuilder()
Creates a builder with the same values as this instance.
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fromJson
static PreferenceOptimizationDataStats fromJson(String jsonString)
Deserializes a JSON string to a PreferenceOptimizationDataStats object.
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