mlr_pipeops_augment_random_affine {mlr3torch}R Documentation

Random Affine Augmentation

Description

Calls torchvision::transform_random_affine, see there for more information on the parameters. The preprocessing is applied to each element of a batch individually.

Format

R6Class inheriting from PipeOpTaskPreprocTorch.

Parameters

Id Type Default Levels Range
degrees untyped - -
translate untyped NULL -
scale untyped NULL -
resample integer 0 (-\infty, \infty)
fillcolor untyped 0 -
stages character - train, predict, both -
affect_columns untyped selector_all() -

[Package mlr3torch version 0.2.1 Index]