mlr_pipeops_augment_random_affine: Random Affine Augmentation
In mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_augment_random_affine 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.
Construction
po("augment_random_affine"")
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() -
mlr3torch documentation built on Aug. 26, 2025, 5:09 p.m.
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| mlr_pipeops_augment_random_affine | 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.
Construction
po("augment_random_affine"")
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() | - | |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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