A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Version: | 1.0.0 |
Depends: | R (≥ 2.10) |
Imports: | cli, dplyr (≥ 0.8.0.1), generics (≥ 0.1.2), ggplot2, globals, glue, hardhat (≥ 1.1.0), lifecycle, magrittr, pillar, prettyunits, purrr, rlang (≥ 0.3.1), stats, tibble (≥ 2.1.1), tidyr (≥ 1.0.0), utils, vctrs (≥ 0.4.1), withr |
Suggests: | C50, covr, dials (≥ 0.1.0), earth, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, mgcv, modeldata, nlme, ranger (≥ 0.12.0), remotes, rmarkdown, rpart, sparklyr (≥ 1.0.0), survival, tensorflow, testthat (≥ 3.0.0), xgboost (≥ 1.5.0.1) |
Published: | 2022-06-16 |
Author: | Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph, fnd] |
Maintainer: | Max Kuhn <max at rstudio.com> |
BugReports: | https://github.com/tidymodels/parsnip/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/tidymodels/parsnip, https://parsnip.tidymodels.org/ |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | parsnip results |
Reference manual: | parsnip.pdf |
Vignettes: |
Introduction to parsnip |
Package source: | parsnip_1.0.0.tar.gz |
Windows binaries: | r-devel: parsnip_1.0.0.zip, r-release: parsnip_1.0.0.zip, r-oldrel: parsnip_1.0.0.zip |
macOS binaries: | r-release (arm64): parsnip_1.0.0.tgz, r-oldrel (arm64): parsnip_1.0.0.tgz, r-release (x86_64): parsnip_1.0.0.tgz, r-oldrel (x86_64): parsnip_1.0.0.tgz |
Old sources: | parsnip archive |
Reverse depends: | additive, agua, baguette, bayesian, bonsai, censored, discrim, multilevelmod, plsmod, poissonreg, rules |
Reverse imports: | autostats, cuda.ml, finnts, healthyR.ai, healthyR.ts, imputeGeneric, kmscv, MLDataR, modeltime, modeltime.ensemble, modeltime.gluonts, modeltime.h2o, modeltime.resample, ppsr, shinymodels, sknifedatar, SSLR, stacks, text, tidymodels, tune, workflows, workflowsets |
Reverse suggests: | broom.helpers, butcher, coefplot, condvis2, easyalluvial, effectsize, finetune, forestControl, gtsummary, infer, insight, MachineShop, probably, recipes, sparklyr, tabnet, tidyposterior, tidypredict, timetk, vetiver, vip |
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