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The table below shows all tabular deep learning learners that are added by mlr3torch: An overview of all learners can also be found on the mlr-org website.

key label task_type feature_types packages
classif.ft_transformer FT-Transformer classif logical , integer , numeric , factor , ordered , lazy_tensor
classif.mlp Multi Layer Perceptron classif integer , numeric , lazy_tensor
classif.module Custom Module classif logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor
classif.tab_resnet Tabular ResNet classif integer , numeric , lazy_tensor
classif.torch_featureless Featureless Torch Learner classif logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor
classif.torch_model Torch Model classif logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor
regr.ft_transformer FT-Transformer regr logical , integer , numeric , factor , ordered , lazy_tensor
regr.mlp Multi Layer Perceptron regr integer , numeric , lazy_tensor
regr.module Custom Module regr logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor
regr.tab_resnet Tabular ResNet regr integer , numeric , lazy_tensor
regr.torch_featureless Featureless Torch Learner regr logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor
regr.torch_model Torch Model regr logical , integer , numeric , character , factor , ordered , POSIXct , Date , lazy_tensor