Package: mlr3torch
Title: Deep Learning with 'mlr3'
Version: 0.4.0
Authors@R: 
    c(person(given = "Sebastian",
             family = "Fischer",
             role = c("cre", "aut"),
             email = "sebf.fischer@gmail.com",
             comment = c(ORCID = "0000-0002-9609-3197")),
      person(given = "Bernd",
             family = "Bischl",
             role = "ctb",
             email = "bernd_bischl@gmx.net",
             comment = c(ORCID = "0000-0001-6002-6980")),
      person(given = "Lukas",
             family = "Burk",
             role = "ctb",
             email = "github@quantenbrot.de",
             comment = c(ORCID = "0000-0001-7528-3795")),
      person(given = "Martin",
             family = "Binder",
             role = "aut",
             email = "mlr.developer@mb706.com"),
      person(given = "Florian",
             family = "Pfisterer",
             role = "ctb",
             email = "pfistererf@googlemail.com",
             comment = c(ORCID = "0000-0001-8867-762X")),
      person(given = "Carson",
             family = "Zhang",
             role = "ctb",
             email = "carsonzhang4@gmail.com")
             )
Description: Deep Learning library that extends the mlr3 framework by building
  upon the 'torch' package. It makes it convenient to build, train,
  and evaluate deep learning models without having to worry about low level
  details. Custom architectures can be created using the graph language
  defined in 'mlr3pipelines'.
License: LGPL (>= 3)
BugReports: https://github.com/mlr-org/mlr3torch/issues
URL: https://mlr3torch.mlr-org.com/,
        https://github.com/mlr-org/mlr3torch/
Depends: mlr3 (>= 1.8.0), mlr3pipelines (>= 0.11.0), torch (>= 0.16.2),
        R (>= 4.2.0)
Imports: backports, cli, checkmate (>= 2.2.0), coro, data.table, lgr,
        methods, mlr3misc (>= 0.23), paradox (>= 1.0.0), R6, withr
Suggests: callr, curl, future, ggplot2, igraph, jsonlite, knitr, mirai,
        mlr3tuning (>= 1.0.0), progress, rmarkdown, rpart, viridis,
        visNetwork, testthat (>= 3.0.0), tibble, tfevents, torchvision
        (>= 0.10.0), waldo
Config/testthat/edition: 3
NeedsCompilation: no
ByteCompile: yes
Encoding: UTF-8
Collate: 'CallbackSet.R' 'aaa.R' 'TorchCallback.R'
        'CallbackSetCheckpoint.R' 'CallbackSetEarlyStopping.R'
        'CallbackSetHistory.R' 'CallbackSetLRScheduler.R'
        'CallbackSetProgress.R' 'CallbackSetTB.R'
        'CallbackSetUnfreeze.R' 'ContextTorch.R' 'DataBackendLazy.R'
        'utils.R' 'DataDescriptor.R' 'LearnerTorch.R'
        'GraphLearnerTorch.R' 'LearnerFTTransformer.R'
        'LearnerTorchFeatureless.R' 'LearnerTorchImage.R'
        'LearnerTorchMLP.R' 'TorchDescriptor.R' 'TorchLoss.R'
        'task_dataset.R' 'shape.R' 'PipeOpTorchIngress.R'
        'LearnerTorchModel.R' 'LearnerTorchModule.R'
        'LearnerTorchRealMLP.R' 'LearnerTorchTabM.R'
        'LearnerTorchTabResNet.R' 'LearnerTorchVision.R'
        'MeasureTorch.R' 'ModelDescriptor.R' 'PipeOpModule.R'
        'PipeOpTorch.R' 'PipeOpTaskPreprocTorch.R'
        'PipeOpTorchActivation.R' 'PipeOpTorchAdaptiveAvgPool.R'
        'PipeOpTorchAdaptiveMaxPool.R' 'PipeOpTorchAvgPool.R'
        'PipeOpTorchBatchNorm.R' 'PipeOpTorchBlock.R'
        'PipeOpTorchCallbacks.R' 'PipeOpTorchConv.R'
        'PipeOpTorchConvTranspose.R' 'PipeOpTorchDropout.R'
        'PipeOpTorchFTCLS.R' 'PipeOpTorchFTTransformerBlock.R'
        'PipeOpTorchFn.R' 'PipeOpTorchGroupNorm.R' 'PipeOpTorchHead.R'
        'PipeOpTorchIdentity.R' 'PipeOpTorchLayerNorm.R'
        'PipeOpTorchLinear.R' 'PipeOpTorchLoss.R'
        'PipeOpTorchMaxPool.R' 'PipeOpTorchMerge.R'
        'PipeOpTorchModel.R' 'PipeOpTorchMultiheadAttention.R'
        'PipeOpTorchOptimizer.R' 'PipeOpTorchRecurrent.R'
        'PipeOpTorchReshape.R' 'PipeOpTorchSoftmax.R'
        'PipeOpTorchTokenizer.R' 'PipeOpTorchTransformerEncoderLayer.R'
        'PredictionTorch.R' 'Select.R' 'TaskClassif_cifar.R'
        'TaskClassif_lazy_iris.R' 'TaskClassif_melanoma.R'
        'TaskClassif_mnist.R' 'TaskClassif_tiny_imagenet.R'
        'TaskTorch.R' 'TorchOptimizer.R' 'bibentries.R' 'cache.R'
        'lazy_tensor.R' 'learner_torch_methods.R' 'materialize.R'
        'merge_graphs.R' 'multi_tensor_dataset.R' 'nn.R' 'nn_graph.R'
        'paramset_torchlearner.R' 'pipeop_torch.R' 'preprocess.R'
        'rd_info.R' 'with_torch_settings.R' 'zzz.R'
Config/roxygen2/version: 8.1.0
Packaged: 2026-10-30 15:26:03 UTC; sebi
Author: Sebastian Fischer [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-9609-3197>),
  Bernd Bischl [ctb] (ORCID: <https://orcid.org/0000-0001-6002-6980>),
  Lukas Burk [ctb] (ORCID: <https://orcid.org/0000-0001-7528-3795>),
  Martin Binder [aut],
  Florian Pfisterer [ctb] (ORCID:
    <https://orcid.org/0000-0001-8867-762X>),
  Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-30 16:40:02 UTC
