Adds Gaussian noise to samples for data augmentation.
Simpler than SMOTE but maintains sample independence.
Usage
noise_augment(task, n_augment = 1L, noise_sd = 0.1, class = NULL)
Arguments
- task
An mlr3 classification task
- n_augment
Number of augmented samples per original (default: 1)
- noise_sd
Standard deviation of noise as fraction of feature SD (default: 0.1)
- class
Target class to augment (default: NULL = minority)
Value
A new task with augmented data