mlr_pipeops_trafo_grayscale: Grayscale Transformation
In mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_trafo_grayscale R Documentation
Grayscale Transformation
Description
Calls torchvision::transform_grayscale,
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("trafo_grayscale"")
Parameters
Id Type Default Levels Range
num_output_channels integer - [1, 3]
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_trafo_grayscale | R Documentation |
Grayscale Transformation
Description
Calls torchvision::transform_grayscale,
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("trafo_grayscale"")
Parameters
| Id | Type | Default | Levels | Range |
| num_output_channels | integer | - | [1, 3] |
|
| 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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