In mlr-org/mlr3torch: Deep Learning with 'mlr3'

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

library(data.table)
library(mlr3torch)
content = as.data.table(mlr3::mlr_tasks)[, .(key, label, task_type, nrow, ncol)]
mlr3torch_ids = names(getFromNamespace("mlr3torch_tasks", "mlr3torch"))
content = content[key %in% mlr3torch_ids]
content$key = sapply(content$key, function(key) sprintf("[%s](https://mlr3torch.mlr-org.com/reference/%s.html)", key, sub("mlr3torch::", "", tsk(key)$man)))
content = content[, .(key, label, task_type, nrow, ncol)]
colnames(content) = c("Key", "Label", "Task Type", "Rows", "Columns")
knitr::kable(content)