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Calls torchvision::transform_random_affine, see there for more information on the parameters. The preprocessing is applied row wise (no batch dimension).

Format

R6Class inheriting from PipeOpTaskPreprocTorch.

Parameters

IdTypeDefaultLevelsRange
degreesuntyped--
translateuntypedNULL-
scaleuntypedNULL-
resampleinteger0\((-\infty, \infty)\)
fillcoloruntyped0-
stagescharacter-train, predict, both-
affect_columnsuntypedselector_all()-