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 21:12:13 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-10-30 19:34:27 UTC
RemoteUrl: https://github.com/cran/mlr3torch
RemoteRef: HEAD
RemoteSha: ab1494873b713dedb1cb64290f2fdf2e6ca77190