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.
library(data.table) library(mlr3torch) content = as.data.table(mlr3::mlr_learners)[, c("key", "label", "task_type", "feature_types", "packages")] mlr3torch_ids = names(getFromNamespace("mlr3torch_learners", "mlr3torch")) content = content[key %in% mlr3torch_ids] is_vision = sapply(content$packages, function(ps) "torchvision" %in% ps) content$packages = lapply(content$packages, function(ps) setdiff(ps, c("mlr3torch", "torch", "mlr3"))) content_vision = content[is_vision, ] content_rest = content[!is_vision, ] knitr::kable(content_rest)
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