Uses of Class
com.amazonaws.services.sagemaker.model.TextGenerationJobConfig

Packages that use TextGenerationJobConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of TextGenerationJobConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return TextGenerationJobConfig

Modifier and Type	Method and Description
TextGenerationJobConfig	TextGenerationJobConfig.addTextGenerationHyperParametersEntry(String key, String value) Add a single TextGenerationHyperParameters entry
TextGenerationJobConfig	TextGenerationJobConfig.clearTextGenerationHyperParametersEntries() Removes all the entries added into TextGenerationHyperParameters.
TextGenerationJobConfig	TextGenerationJobConfig.clone()
TextGenerationJobConfig	AutoMLProblemTypeConfig.getTextGenerationJobConfig() Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
TextGenerationJobConfig	TextGenerationJobConfig.withBaseModelName(String baseModelName) The name of the base model to fine-tune.
TextGenerationJobConfig	TextGenerationJobConfig.withCompletionCriteria(AutoMLJobCompletionCriteria completionCriteria) How long a fine-tuning job is allowed to run.
TextGenerationJobConfig	TextGenerationJobConfig.withModelAccessConfig(ModelAccessConfig modelAccessConfig)
TextGenerationJobConfig	TextGenerationJobConfig.withTextGenerationHyperParameters(Map<String,String> textGenerationHyperParameters) The hyperparameters used to configure and optimize the learning process of the base model.

Methods in com.amazonaws.services.sagemaker.model with parameters of type TextGenerationJobConfig

Modifier and Type	Method and Description
void	AutoMLProblemTypeConfig.setTextGenerationJobConfig(TextGenerationJobConfig textGenerationJobConfig) Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
AutoMLProblemTypeConfig	AutoMLProblemTypeConfig.withTextGenerationJobConfig(TextGenerationJobConfig textGenerationJobConfig) Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.