improve docs

mlr-org · Nov 21, 2024 · 327f251 · 327f251
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diff --git a/R/LearnerTorch.R b/R/LearnerTorch.R
@@ -21,7 +21,7 @@
 #' After loading a marshaled `LearnerTorch` into R again, you then need to call `$unmarshal()` to transform it
 #' into a useable state.
 #'
-#' @section Early Stopping and Tuning:
+#' @section Early Stopping and Internal Tuning:
 #' In order to prevent overfitting, the `LearnerTorch` class allows to use early stopping via the `patience`
 #' and `min_delta` parameters, see the `Learner`'s parameters.
 #' When tuning a `LearnerTorch` it is also possible to combine the explicit tuning via `mlr3tuning`

diff --git a/man/mlr_learners.torchvision.Rd b/man/mlr_learners.torchvision.Rd
diff --git a/man/mlr_learners_torch.Rd b/man/mlr_learners_torch.Rd
diff --git a/man/mlr_learners_torch_image.Rd b/man/mlr_learners_torch_image.Rd