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improve docs
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‎R/LearnerTorch.R‎

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#' After loading a marshaled `LearnerTorch` into R again, you then need to call `$unmarshal()` to transform it
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#' into a useable state.
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#'
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#' @section Early Stopping and Tuning:
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#' @section Early Stopping and Internal Tuning:
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#' In order to prevent overfitting, the `LearnerTorch` class allows to use early stopping via the `patience`
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#' and `min_delta` parameters, see the `Learner`'s parameters.
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#' When tuning a `LearnerTorch` it is also possible to combine the explicit tuning via `mlr3tuning`

‎man/mlr_learners.torchvision.Rd‎

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‎man/mlr_learners_torch.Rd‎

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‎man/mlr_learners_torch_image.Rd‎

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