/AWS1/CL_SGMAUTOMLDATASPLITCFG¶
This structure specifies how to split the data into train and validation datasets.
The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.
CONSTRUCTOR¶
IMPORTING¶
Optional arguments:¶
iv_validationfraction TYPE /AWS1/RT_FLOAT_AS_STRING /AWS1/RT_FLOAT_AS_STRING¶
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.
Queryable Attributes¶
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.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_VALIDATIONFRACTION() |
Getter for VALIDATIONFRACTION, with configurable default |
ASK_VALIDATIONFRACTION() |
Getter for VALIDATIONFRACTION w/ exceptions if field has no |
STR_VALIDATIONFRACTION() |
String format for VALIDATIONFRACTION, with configurable defa |
HAS_VALIDATIONFRACTION() |
Determine if VALIDATIONFRACTION has a value |