Package com.google.genai.types
Class CreateTuningJobParametersPrivate
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@InternalApi() public abstract class CreateTuningJobParametersPrivate extends JsonSerializable
Fine-tuning job creation parameters - optional fields.
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Nested Class Summary
Nested Classes Modifier and Type Class Description public abstract classCreateTuningJobParametersPrivate.BuilderBuilder for CreateTuningJobParametersPrivate.
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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 CreateTuningJobParametersPrivate()
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Method Summary
Modifier and Type Method Description abstract Optional<String>baseModel()The base model that is being tuned, e.g., "gemini-2.5-flash". abstract Optional<PreTunedModel>preTunedModel()The PreTunedModel that is being tuned. abstract Optional<TuningDataset>trainingDataset()Cloud Storage path to file containing training dataset for tuning. abstract Optional<CreateTuningJobConfig>config()Configuration for the tuning job. static CreateTuningJobParametersPrivate.Builderbuilder()Instantiates a builder for CreateTuningJobParametersPrivate. abstract CreateTuningJobParametersPrivate.BuildertoBuilder()Creates a builder with the same values as this instance. static CreateTuningJobParametersPrivatefromJson(String jsonString)Deserializes a JSON string to a CreateTuningJobParametersPrivate object. -
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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baseModel
abstract Optional<String> baseModel()
The base model that is being tuned, e.g., "gemini-2.5-flash".
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preTunedModel
abstract Optional<PreTunedModel> preTunedModel()
The PreTunedModel that is being tuned.
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trainingDataset
abstract Optional<TuningDataset> trainingDataset()
Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.
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config
abstract Optional<CreateTuningJobConfig> config()
Configuration for the tuning job.
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builder
static CreateTuningJobParametersPrivate.Builder builder()
Instantiates a builder for CreateTuningJobParametersPrivate.
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toBuilder
abstract CreateTuningJobParametersPrivate.Builder toBuilder()
Creates a builder with the same values as this instance.
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fromJson
static CreateTuningJobParametersPrivate fromJson(String jsonString)
Deserializes a JSON string to a CreateTuningJobParametersPrivate object.
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