| mlr_pipeops_augment_resized_crop | R Documentation |
Calls torchvision::transform_resized_crop,
see there for more information on the parameters.
The preprocessing is applied to each element of a batch individually.
R6Class inheriting from PipeOpTaskPreprocTorch.
po("augment_resized_crop"")
| Id | Type | Default | Levels | Range |
| top | integer | - | (-\infty, \infty) |
|
| left | integer | - | (-\infty, \infty) |
|
| height | integer | - | (-\infty, \infty) |
|
| width | integer | - | (-\infty, \infty) |
|
| size | untyped | - | - | |
| interpolation | integer | 2 | [0, 3] |
|
| stages | character | - | train, predict, both | - |
| affect_columns | untyped | selector_all() | - | |
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