{ "_id": "6a17e3b8acfb0bcc41da0560", "Package": "luz", "Title": "Higher Level 'API' for 'torch'", "Version": "0.5.2.9000", "Authors@R": "c(\nperson(\"Tomasz\", \"Kalinowski\", role = c(\"ctb\", \"cre\"), email = \"tomasz@posit.co\"),\nperson(\"Daniel\", \"Falbel\", email = \"dfalbel@gmail.com\", role = c(\"aut\", \"cph\")),\nperson(\"Christophe\", \"Regouby\", email = \"christophe.regouby@free.fr\", role = c(\"ctb\")),\nperson(family = \"RStudio\", role = c(\"cph\"))\n)", "Description": "A high level interface for 'torch' providing utilities to\nreduce the the amount of code needed for common tasks, abstract\naway torch details and make the same code work on both the\n'CPU' and 'GPU'. It's flexible enough to support expressing a\nlarge range of models. It's heavily inspired by 'fastai' by\nHoward et al. (2020) , 'Keras'\nby Chollet et al. (2015) and 'PyTorch Lightning' by Falcon et\nal. (2019) .", "License": "MIT + file LICENSE", "URL": "https://mlverse.github.io/luz/, https://github.com/mlverse/luz", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Collate": "'accelerator.R' 'as_dataloader.R' 'utils.R' 'callbacks.R'\n'callbacks-amp.R' 'callbacks-interrupt.R' 'callbacks-mixup.R'\n'callbacks-monitor-metrics.R' 'callbacks-profile.R'\n'callbacks-resume.R' 'callbacks-tfevents.R' 'context.R'\n'losses.R' 'lr-finder.R' 'metrics.R' 'metrics-auc.R'\n'module-plot.R' 'module-print.R' 'module.R' 'reexports.R'\n'serialization.R'", "BugReports": "https://github.com/mlverse/luz/issues", "Config/pak/sysreqs": "cmake make libuv1-dev", "Repository": "https://mlverse.r-universe.dev", "Date/Publication": "2026-04-28 10:45:46 UTC", "RemoteUrl": "https://github.com/mlverse/luz", "RemoteRef": "HEAD", "RemoteSha": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 06:38:29 UTC", "User": "root" }, "Author": "Tomasz Kalinowski [ctb, cre],\nDaniel Falbel [aut, cph],\nChristophe Regouby [ctb],\nRStudio [cph]", "Maintainer": "Tomasz Kalinowski ", "MD5sum": "61497dfb53088a7701abc4440e7dcab8", "_user": "mlverse", "_type": "src", "_file": "luz_0.5.2.9000.tar.gz", "_fileid": "006da191b66fe6605afd1528a5fd2eb59a9efba8b7e9a255d8ec21021ecdb6c0", "_filesize": 346885, "_sha256": "006da191b66fe6605afd1528a5fd2eb59a9efba8b7e9a255d8ec21021ecdb6c0", "_created": "2026-05-28T06:38:29.000Z", "_published": "2026-05-28T06:41:59.988Z", "_distro": "noble", "_jobs": [ { "job": 78237366623, "time": 169, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7259329519" }, { "job": 78237366621, "time": 151, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7259324801" }, { "job": 78237366634, "time": 96, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7259311787" }, { "job": 78237366638, "time": 121, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7259321704" }, { "job": 78236878130, "time": 240, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7259286826" }, { "job": 78237366620, "time": 126, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7259318858" }, { "job": 78237366632, "time": 142, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7259322783" }, { "job": 78237366637, "time": 106, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7259313867" }, { "job": 78237366645, "time": 108, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7259314589" } ], "_buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mlverse/luz", "_commit": { "id": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "author": "Daniel Falbel ", "committer": "Daniel Falbel ", "message": "Increment version number to 0.5.2.9000\n", "time": 1777373146 }, "_maintainer": { "name": "Tomasz Kalinowski", "email": "tomasz@posit.co", "login": "t-kalinowski", "mastodon": "@t_kalinowski@fosstodon.org", "bluesky": "@t-kalinowski.bsky.social", "description": "", "uuid": 8462255 }, "_registered": true, "_dependencies": [ { "package": "torch", "version": ">= 0.11.9000", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "zeallot", "role": "Imports" }, { "package": "rlang", "version": ">= 1.0.0", "role": "Imports" }, { "package": "coro", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "progress", "role": "Imports" }, { "package": "R6", "role": "Imports" }, { "package": "generics", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "fs", "role": "Imports" }, { "package": "prettyunits", "role": "Imports" }, { "package": "cli", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "covr", "role": "Suggests" }, { "package": "Metrics", "role": "Suggests" }, { "package": "withr", "role": "Suggests" }, { "package": "vdiffr", "role": "Suggests" }, { "package": "ggplot2", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "torchvision", "role": "Suggests" }, { "package": "tfevents", "version": ">= 0.0.2", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" } ], "_owner": "mlverse", "_selfowned": true, "_usedby": 3, "_updates": [ { "week": "2025-31", "n": 8 }, { "week": "2025-44", "n": 5 }, { "week": "2026-18", "n": 2 } ], "_tags": [ { "name": "v0.5.0", "date": "2025-07-29" }, { "name": "v0.5.1", "date": "2025-10-30" }, { "name": "v0.5.2", "date": "2026-04-28" } ], "_stars": 100, "_contributors": [ { "user": "dfalbel", "count": 523, "uuid": 4706822 }, { "user": "jonthegeek", "count": 9, "uuid": 33983824 }, { "user": "cmcmaster1", "count": 3, "uuid": 30722043 }, { "user": "cregouby", "count": 2, "uuid": 10136115 }, { "user": "svenvw", "count": 1, "uuid": 37927107 }, { "user": "olivroy", "count": 1, "uuid": 52606734 } ], "_userbio": { "uuid": 55406849, "type": "organization", "name": "mlverse", "description": "Open source libraries to scale Data Science" }, "_downloads": { "count": 3927, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/luz" }, "_devurl": "https://github.com/mlverse/luz", "_pkgdown": "https://mlverse.github.io/luz/", "_searchresults": 391, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/luz.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/mlverse/luz", "_realowner": "mlverse", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2021-06-17" }, { "version": "0.2.0", "date": "2021-10-07" }, { "version": "0.3.0", "date": "2022-08-19" }, { "version": "0.3.1", "date": "2022-09-06" }, { "version": "0.4.0", "date": "2023-04-17" }, { "version": "0.5.0", "date": "2025-08-01" }, { "version": "0.5.1", "date": "2025-10-30" }, { "version": "0.5.2", "date": "2026-04-28" } ], "_exports": [ "%>%", "accelerator", "as_dataloader", "evaluate", "fit", "get_metrics", "lr_finder", "luz_callback", "luz_callback_auto_resume", "luz_callback_csv_logger", "luz_callback_early_stopping", "luz_callback_gradient_clip", "luz_callback_interrupt", "luz_callback_keep_best_model", "luz_callback_lr_scheduler", "luz_callback_metrics", "luz_callback_mixed_precision", "luz_callback_mixup", "luz_callback_model_checkpoint", "luz_callback_profile", "luz_callback_progress", "luz_callback_resume_from_checkpoint", "luz_callback_tfevents", "luz_callback_train_valid", "luz_load", "luz_load_checkpoint", "luz_load_model_weights", "luz_metric", "luz_metric_accuracy", "luz_metric_binary_accuracy", "luz_metric_binary_accuracy_with_logits", "luz_metric_binary_auroc", "luz_metric_mae", "luz_metric_mse", "luz_metric_multiclass_auroc", "luz_metric_rmse", "luz_metric_set", "luz_save", "luz_save_model_weights", "nn_mixup_loss", "nnf_mixup", "set_hparams", "set_opt_hparams", "setup" ], "_help": [ { "page": "accelerator", "title": "Create an accelerator", "topics": [ "accelerator" ] }, { "page": "as_dataloader", "title": "Creates a dataloader from its input", "topics": [ "as_dataloader", "as_dataloader.array", "as_dataloader.dataloader", "as_dataloader.dataset", "as_dataloader.iterable_dataset", "as_dataloader.list", "as_dataloader.matrix", "as_dataloader.numeric", "as_dataloader.torch_tensor" ] }, { "page": "context", "title": "Context object", "topics": [ "context" ] }, { "page": "ctx", "title": "Context object", "topics": [ "ctx" ] }, { "page": "evaluate", "title": "Evaluates a fitted model on a dataset", "concept": [ "training" ], "topics": [ "evaluate" ] }, { "page": "fit.luz_module_generator", "title": "Fit a 'nn_module'", "concept": [ "training" ], "topics": [ "fit.luz_module_generator" ] }, { "page": "get_metrics", "title": "Get metrics from the object", "topics": [ "get_metrics", "get_metrics.luz_module_fitted" ] }, { "page": "lr_finder", "title": "Learning Rate Finder", "topics": [ "lr_finder" ] }, { "page": "luz_callback", "title": "Create a new callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback" ] }, { "page": "luz_callback_auto_resume", "title": "Resume training callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_auto_resume" ] }, { "page": "luz_callback_csv_logger", "title": "CSV logger callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_csv_logger" ] }, { "page": "luz_callback_early_stopping", "title": "Early stopping callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_early_stopping" ] }, { "page": "luz_callback_gradient_clip", "title": "Gradient clipping callback", "topics": [ "luz_callback_gradient_clip" ] }, { "page": "luz_callback_interrupt", "title": "Interrupt callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_interrupt" ] }, { "page": "luz_callback_keep_best_model", "title": "Keep the best model", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_keep_best_model" ] }, { "page": "luz_callback_lr_scheduler", "title": "Learning rate scheduler callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_lr_scheduler" ] }, { "page": "luz_callback_metrics", "title": "Metrics callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_metrics" ] }, { "page": "luz_callback_mixed_precision", "title": "Automatic Mixed Precision callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_mixed_precision" ] }, { "page": "luz_callback_mixup", "title": "Mixup callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_mixup" ] }, { "page": "luz_callback_model_checkpoint", "title": "Checkpoints model weights", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_model_checkpoint" ] }, { "page": "luz_callback_profile", "title": "Profile callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_profile" ] }, { "page": "luz_callback_progress", "title": "Progress callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_progress" ] }, { "page": "luz_callback_resume_from_checkpoint", "title": "Allow resume model training from a specific checkpoint", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_resume_from_checkpoint" ] }, { "page": "luz_callback_tfevents", "title": "tfevents callback", "topics": [ "luz_callback_tfevents" ] }, { "page": "luz_callback_train_valid", "title": "Train-eval callback", "concept": [ "luz_callbacks" ], "topics": [ "luz_callback_train_valid" ] }, { "page": "luz_load", "title": "Load trained model", "concept": [ "luz_save" ], "topics": [ "luz_load" ] }, { "page": "luz_load_checkpoint", "title": "Loads a checkpoint", "topics": [ "luz_load_checkpoint" ] }, { "page": "luz_load_model_weights", "title": "Loads model weights into a fitted object.", "topics": [ "luz_load_model_weights", "luz_save_model_weights" ] }, { "page": "luz_metric", "title": "Creates a new luz metric", "concept": [ "luz_metrics" ], "topics": [ "luz_metric" ] }, { "page": "luz_metric_accuracy", "title": "Accuracy", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_accuracy" ] }, { "page": "luz_metric_binary_accuracy", "title": "Binary accuracy", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_binary_accuracy" ] }, { "page": "luz_metric_binary_accuracy_with_logits", "title": "Binary accuracy with logits", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_binary_accuracy_with_logits" ] }, { "page": "luz_metric_binary_auroc", "title": "Computes the area under the ROC", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_binary_auroc" ] }, { "page": "luz_metric_mae", "title": "Mean absolute error", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_mae" ] }, { "page": "luz_metric_mse", "title": "Mean squared error", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_mse" ] }, { "page": "luz_metric_multiclass_auroc", "title": "Computes the multi-class AUROC", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_multiclass_auroc" ] }, { "page": "luz_metric_rmse", "title": "Root mean squared error", "concept": [ "luz_metrics" ], "topics": [ "luz_metric_rmse" ] }, { "page": "luz_metric_set", "title": "Creates a metric set", "topics": [ "luz_metric_set" ] }, { "page": "luz_save", "title": "Saves luz objects to disk", "concept": [ "luz_save" ], "topics": [ "luz_save" ] }, { "page": "nn_mixup_loss", "title": "Loss to be used with 'callbacks_mixup()'.", "topics": [ "nn_mixup_loss" ] }, { "page": "nnf_mixup", "title": "Mixup logic", "topics": [ "nnf_mixup" ] }, { "page": "predict.luz_module_fitted", "title": "Create predictions for a fitted model", "concept": [ "training" ], "topics": [ "predict.luz_module_fitted" ] }, { "page": "set_hparams", "title": "Set hyper-parameter of a module", "concept": [ "set_hparam" ], "topics": [ "set_hparams" ] }, { "page": "set_opt_hparams", "title": "Set optimizer hyper-parameters", "concept": [ "set_hparam" ], "topics": [ "set_opt_hparams" ] }, { "page": "setup", "title": "Set's up a 'nn_module' to use with luz", "concept": [ "training" ], "topics": [ "setup" ] } ], "_readme": "https://github.com/mlverse/luz/raw/HEAD/README.md", "_rundeps": [ "bit", "bit64", "callr", "cli", "coro", "crayon", "desc", "farver", "fs", "generics", "glue", "hms", "jsonlite", "labeling", "lifecycle", "magrittr", "pkgconfig", "prettyunits", "processx", "progress", "ps", "purrr", "R6", "RColorBrewer", "Rcpp", "rlang", "safetensors", "scales", "torch", "vctrs", "viridisLite", "withr", "zeallot" ], "_vignettes": [ { "source": "accelerator.Rmd", "filename": "accelerator.html", "title": "Accelerator API", "engine": "knitr::rmarkdown", "headings": [ "Example" ], "created": "2021-05-24 14:15:43", "modified": "2022-05-03 16:42:20", "commits": 2 }, { "source": "custom-loop.Rmd", "filename": "custom-loop.html", "title": "Custom loops with luz", "engine": "knitr::rmarkdown", "headings": [ "Multiple optimizers", "Fully flexible step", "Next steps" ], "created": "2021-05-10 19:28:25", "modified": "2023-05-14 12:00:16", "commits": 9 }, { "source": "get-started.Rmd", "filename": "get-started.html", "title": "Get started with luz", "engine": "knitr::rmarkdown", "headings": [ "Training a nn_module", "The training loop", "Metrics", "Evaluate", "Customizing with callbacks", "Next steps" ], "created": "2021-04-23 20:31:08", "modified": "2023-04-14 13:19:42", "commits": 18 } ], "_score": 10.492662686216974, "_indexed": true, "_nocasepkg": "luz", "_universes": [ "mlverse", "t-kalinowski" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.5.2.9000", "date": "2026-05-28T06:41:05.000Z", "distro": "noble", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "dc4177925048a138e36b6cb90a3eb8d15a8e1e662e27a60224b46dee7ae7579d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.6.0", "os": "linux", "version": "0.5.2.9000", "date": "2026-05-28T06:40:48.000Z", "distro": "noble", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "1da1cb7f1645d499abb62760d4204854d80a8c5cd83c0b06906e0df94eda55d0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.5.3", "os": "mac", "version": "0.5.2.9000", "date": "2026-05-28T06:40:10.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "269db1b8d6a06f67d417f1db5379f2740a90952b316d08e427b7914ea4d2b6ca", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.6.0", "os": "mac", "version": "0.5.2.9000", "date": "2026-05-28T06:40:44.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "77707254859516af92447081b39fe2cdee440863b30285391af806400294f542", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.6.0", "os": "wasm", "version": "0.5.2.9000", "date": "2026-05-28T06:41:01.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "6089378db1ee1fc10201030bf6c54b139d9cda890ac2736830e6e7ca89d8b9d2", "status": "success", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.7.0", "os": "win", "version": "0.5.2.9000", "date": "2026-05-28T06:40:33.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "97ad658b2ae3390ad41ce72fa048266e3db0baea4ffdc26ac06cf9a868666ac4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.5.3", "os": "win", "version": "0.5.2.9000", "date": "2026-05-28T06:39:55.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "f59f86f89b9159c315c6db9ac02da3170b3748850806847f7a02d636a157f9e0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" }, { "r": "4.6.0", "os": "win", "version": "0.5.2.9000", "date": "2026-05-28T06:39:57.000Z", "commit": "e148679b42e16c1ed03a4c4a0c8f3358e37d8247", "fileid": "7c393c3274322ec423dfdd06b34ccb116ca72d7cc94c5c4e2caede4143590610", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mlverse/actions/runs/26558883065" } ] }