CRAN/E | tune

tune

Tidy Tuning Tools

Installation

About

The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.

tune.tidymodels.org/
github.com/tidymodels/tune
Bug report File report

Key Metrics

Version 1.2.1
R ≥ 4.0
Published 2024-04-18 10 days ago
Needs compilation? no
License MIT
License File
CRAN checks tune results
Language en-US

Downloads

Yesterday 1.463 0%
Last 7 days 9.027 -15%
Last 30 days 36.250 +11%
Last 90 days 97.170 +3%
Last 365 days 436.298 -30%

Maintainer

Maintainer

Max Kuhn

max@posit.co

Authors

Max Kuhn

aut / cre

Posit Software
PBC

cph / fnd

Material

README
NEWS
Reference manual
Package source

macOS

r-prerel

arm64

r-release

arm64

r-oldrel

arm64

r-prerel

x86_64

r-release

x86_64

Windows

r-prerel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tune archive

Depends

R ≥ 4.0

Imports

cli ≥ 3.3.0
dials ≥ 1.0.0
doFuture ≥ 1.0.0
dplyr ≥ 1.1.0
foreach
future ≥ 1.33.0
generics ≥ 0.1.2
ggplot2
glue ≥ 1.6.2
GPfit
hardhat ≥ 1.2.0
lifecycle ≥ 1.0.0
parsnip ≥ 1.2.0
purrr ≥ 1.0.0
recipes ≥1.0.4
rlang ≥ 1.1.0
rsample ≥ 1.2.0
tibble ≥3.1.0
tidyr ≥ 1.2.0
tidyselect ≥ 1.1.2
vctrs ≥0.6.1
withr
workflows ≥ 1.1.4
yardstick ≥ 1.3.0

Suggests

C50
censored ≥ 0.3.0
covr
kernlab
kknn
knitr
modeldata
scales
spelling
testthat ≥ 3.0.0
xgboost
xml2

Reverse Depends

finetune
RISCA

Reverse Imports

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workflowsets

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