mlr_pipeops_augment_random_order: Random Order Augmentation
In mlr-org/mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_augment_random_order R Documentation
Random Order Augmentation
Description
Calls torchvision::transform_random_order,
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_order"")
Parameters
Id Type Default Levels
transforms untyped -
stages character - train, predict, both
affect_columns untyped selector_all()
mlr-org/mlr3torch documentation built on April 17, 2025, 8:22 p.m.
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| mlr_pipeops_augment_random_order | R Documentation |
Random Order Augmentation
Description
Calls torchvision::transform_random_order,
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_order"")
Parameters
| Id | Type | Default | Levels |
| transforms | untyped | - | |
| 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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