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 |