mlr_pipeopstrafo_resize: Resizing Transformation
In mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_trafo_resize R Documentation
Resizing Transformation
Description
Calls torchvision::transform_resize,
see there for more information on the parameters.
The preprocessing is applied to the whole batch.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Parameters
Id Type Default Levels
size untyped -
interpolation character 2 Undefined, Bartlett, Blackman, Bohman, Box, Catrom, Cosine, Cubic, Gaussian, Hamming, ...
stages character - train, predict, both
affect_columns untyped selector_all()
mlr3torch documentation built on April 4, 2025, 3:03 a.m.
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| mlr_pipeops_trafo_resize | R Documentation |
Resizing Transformation
Description
Calls torchvision::transform_resize,
see there for more information on the parameters.
The preprocessing is applied to the whole batch.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Parameters
| Id | Type | Default | Levels |
| size | untyped | - | |
| interpolation | character | 2 | Undefined, Bartlett, Blackman, Bohman, Box, Catrom, Cosine, Cubic, Gaussian, Hamming, ... |
| 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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