Package: kerasnip 0.1.0.900

kerasnip: A Bridge Between 'keras' and 'tidymodels'
Provides a seamless bridge between 'keras' and the 'tidymodels' frameworks. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
Authors:
kerasnip_0.1.0.900.tar.gz
kerasnip_0.1.0.900.zip(r-4.6)kerasnip_0.1.0.900.zip(r-4.5)kerasnip_0.1.0.900.zip(r-4.4)
kerasnip_0.1.0.900.tgz(r-4.5-any)
kerasnip_0.1.0.900.tar.gz(r-4.6-any)kerasnip_0.1.0.900.tar.gz(r-4.5-any)
kerasnip_0.1.0.900.tgz(r-4.5-emscripten)
kerasnip.pdf |kerasnip.html✨
kerasnip/json (API)
| # Install 'kerasnip' in R: |
| install.packages('kerasnip', repos = c('https://davidrsch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/davidrsch/kerasnip/issues
Pkgdown/docs site:https://davidrsch.github.io
deep-learningdeep-learning-workflowkerasparsniptidymodels
Last updated from:763f689bed. Checks:9 OK. Indexed: yes.
| Target | Result | Total time | Artifact |
|---|---|---|---|
| linux-devel-x86_64 | OK | 209 | |
| source / vignettes | OK | 417 | |
| linux-release-x86_64 | OK | 318 | |
| macos-release-arm64 | OK | 167 | |
| macos-oldrel-arm64 | OK | 197 | |
| windows-devel | OK | 124 | |
| windows-release | OK | 133 | |
| windows-oldrel | OK | 146 | |
| wasm-release | OK | 286 |
Exports:compile_keras_gridcreate_keras_functional_speccreate_keras_sequential_specextract_keras_historyextract_keras_modelextract_valid_gridgeneric_functional_fitgeneric_sequential_fitget_model_envinform_errorsinp_speckeras_evaluatekeras_losseskeras_metricskeras_optimizersloss_function_kerasmodel_existsoptimizer_functionprocess_x_functionalprocess_x_sequentialprocess_y_functionalprocess_y_sequentialregister_keras_lossregister_keras_metricregister_keras_optimizerremove_keras_specstep_collapse
Dependencies:abindbackportsbase64encclasscliclockcodetoolsconfigcpp11data.tablediagramdigestdottydplyrfarverfastmapfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathereipredisobandjsonlitekeras3KernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixnnetnumDerivparallellyparsnippillarpkgconfigpngprettyunitsprocessxprodlimprogressrpspurrrR6rappdirsRColorBrewerRcppRcppTOMLrecipesreticulaterlangrpartrprojrootrstudioapiS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewhiskerwithryamlzeallot
Building Functional Models with kerasnip
Rendered fromfunctional_api.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-12-06
Started: 2025-08-13
Getting Started with kerasnip
Rendered fromgetting_started.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-08-23
Started: 2025-08-13
The Sequential Model with kerasnip
Rendered fromsequential_model.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-08-23
Started: 2025-08-15
Tidymodels Workflow with Functional Keras Models (Multi-Input)
Rendered fromworkflows_functional.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-12-06
Started: 2025-08-17
Tidymodels Workflow with Sequential Keras Models
Rendered fromworkflows_sequential.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-12-06
Started: 2025-08-17
Transfer Learning with Keras Applications
Rendered fromapplications.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-09-10
Started: 2025-09-10
Tuning Fit and Compile Arguments
Rendered fromtuning_fit_compile_args.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-09-09
Started: 2025-09-09
Tuning Multiple Similar Parameters: Ensuring autoplot Uniqueness
Rendered fromautoplot_uniqueness.Rmdusingknitr::rmarkdownon Dec 08 2025.Last update: 2025-09-13
Started: 2025-09-13
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compile Keras Models Over a Grid of Hyperparameters | compile_keras_grid |
| Create a Custom Keras Functional API Model Specification for Tidymodels | create_keras_functional_spec |
| Create a Custom Keras Sequential Model Specification for Tidymodels | create_keras_sequential_spec |
| Extract Keras Training History | extract_keras_history |
| Extract Keras Model from a Fitted Kerasnip Object | extract_keras_model |
| Extract Valid Grid from Compilation Results | extract_valid_grid |
| Inform About Compilation Errors | inform_errors |
| Remap Layer Block Arguments for Model Specification | inp_spec |
| Evaluate a Kerasnip Model | keras_evaluate |
| Register a Custom Keras Loss | register_keras_loss |
| Register a Custom Keras Metric | register_keras_metric |
| Register a Custom Keras Optimizer | register_keras_optimizer |
| Remove a Keras Model Specification and its Registrations | remove_keras_spec |
| Collapse Predictors into a single list-column | step_collapse |
