Splits data into training, validation, and testing sets and
optionally applies normalization to predictors and response.
Usage
preprocessing_data(
x,
y,
testing_ratio = 0.1,
valid_ratio = 0.1,
normalize = FALSE
)
Arguments
- x
Numeric matrix of covariates.
- y
Numeric vector or matrix of response values.
- testing_ratio
Proportion of data allocated to testing.
- valid_ratio
Proportion of training data allocated to validation.
- normalize
Logical. If TRUE, standardizes predictors and rescales response.
Value
A list containing:
Training, validation, and testing splits
Normalization metadata (if applicable)
Details
When normalization is enabled, predictors are standardized
using training-set statistics, and the response is rescaled
to the unit interval.
