AutoMLDataSplitConfig
¶
Used by
-
AsyncSageMakerClient Operationscreate_auto_ml_job_v2 -
SageMakerClient Operationscreate_auto_ml_job_v2
Source code in docs_src/capo_sagemaker/types/auto_ml_data_split_config.py
validation_fraction
instance-attribute
¶
validation_fraction: NotRequired[ValidationFraction]
The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.