R Observatory: Metrics for tune version 2.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tune

2.1.0

Tidy Tuning Tools

35packages dependsuggested by 21

418Kdownloads / year

87.6%test coverage

13/13flavors OK

Overview

About

Maintained by Max KuhnCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Posit Software, PBC

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, preprocessing methods, and post-processing steps.

Changes in 2.1.0

Model tuning has been enabled for quantile regression models. (#1125)
When calculating resampling estimates, we can now use a weighted mean based on the number of rows in the assessment set. You can opt-in to this using the new add_resample_weights() function. See ?calculate_resample_weights (#990)
The warning threshold when check the size of a workflow is now a parameter to the control functions and has a new default of 100MB. (#914)
Tuning of models with submodel parameters now predicts all submodels at once (again) to speed up the tuning process (#1140).
tune_bayes() now uses an uncertainty sample if all predictions from the Gaussian process model fail (#1167).

Breaking Changes

The Gaussian process model package was changed from \pkg{GPfit} to \pkg{GauPro} because the former is no longer actively maintained. There are some differences:
Fit diagnostics are computed and reported. If the fit quality is poor, an "uncertainty sample" that is furthest away from the existing data is used as the new candidate.
The GP no longer uses binary indicators for qualitative predictors. Instead, a "categorical kernel" is used for those parameter columns. Fewer starting values are required with this change.
For numeric predictors, the Matern 3/2 kernel is always used.

Bug Fixes

Fixed a bug where models with submodel parameters would train all calibration models on predictions from a single submodel value instead of the correct value for each submodel (#1144).

Show all changes in 2.1.0Hide the rest of the changes in 2.1.0

A bug was fixed where NULL results generated during simulated annealing would cause errors when logging.
Fixed a bug for cases where we tune a grid without a model parameter but with a postprocessing parameter (#1119)
Fixed a bug in augment() when using last_fit() objects (#1110)
In tune_grid(), a bug was fixed that caused inefficiency where preprocessing steps were applied to data being predicted several times (redundantly). We now execute that operation once. (#1101)

Other Changes

The developer functions val_class_and_single() and val_class_or_null() are now deprecated (#1161).
check_metrics() is deprecated in favor of check_metrics_arg() (#1160).
finalize_workflow_preprocessor() is deprecated (#1157).
Prepends a period to the name, and exports the following functions. This is to improve integration with other packages:
check_grid() (e.g., now named .check_grid())
determine_pred_types()
get_config_key()
loop_over_all_stages()
update_parallel_over()
get_data_subsets()

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("tune", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidymodels/tune")

Development version from tidymodels/tune. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-tune

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-tune

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-tune

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.1.0

READMEYes · 252 wordsVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 2.1.0Citation fileNoWebsiteYes · pkgdown

Help pages: 45 (16 internal)includes a package overview page
Examples that run: 96%25 run in a plain check (17 of them under a condition) · 1 never run
Exported functions with examples: 58%
Documented parameters: 94%
Return-value docs: 72%
Help pages citing references: 7%

How these are measured

Downloads

418K

CRAN downloads in the past year

Rank #681 · ~1.1K/day · ~34.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

24.2K30 days

79.4K90 days

418K1 year

Compare downloads with other packages →

Also on9.7K r2u7 autocran37.1K conda_forge227 c2d4u

How downloads are counted

Repository

tidymodels/tune ↗Organization: tidymodels

344Stars

55Forks

110Open issues

7Open PRs

21Releases

1,540Commits

36Commit identities

1,540 commits · Last activity 2026-10-07 · +0.3% stars, 30d · Default branch at 2.1.0.9000, ahead of CRAN 2.1.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 91%
Median days to close, 50 most recently updated closed issues: 8
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-10-15 · 3162026-09-28 · 344

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/tidymodels/tune on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Code of conductContributing guideCODEOWNERS

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-07 · The repository has a site deploy workflow

pkgdown site last built 2026-04-17

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

CRAN release process (1)

revdep/

Lint, format, editor (4)

Lint workflowAirVS CodeRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-03-19
Seen in the repository: .claude, .claude/skills
Named in .Rbuildignore: .claude

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

39 external dependencies (excludes base and recommended)

Installing tune adds 92 packages (45 with compiled code, 71 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1

LinkingTo (0)

none

Suggests (19)

C50 censored covr future future.apply kernlab kknn knitrmgcvmirai modeldata probably scales spelling splines2survivaltestthat xgboost xml2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

35direct

11indirect

Depends 2 · Imports 33

Suggested by 21

Show the 48 most downloaded packagesHide the 48 most downloaded packages

Depends, Imports or LinkingTo, most downloaded first

Suggests, most downloaded first

insight timetk butcher modeltime shapr bonsai pysparklyr vetiver healthyR.ts ggmlR desirability2 OptimalBinningWoE bioLeak

and 8 more packages that suggest it on CRAN ↗

How these are counted

Code & Tests

Datasets

People & History

People (2)

Max Kuhn

Author, Maintainer since 0.0.1 (2020)

Posit Software, PBC

Copyright holder, Funder · added in 1.1.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.0.1 to 1.0.1

Releases (20)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.1.0Latest
record
2026-04-17 · current release · diff ↗ ·
removed 1 export
par_fns

added 33 exports
.check_grid, .check_param_objects, .create_weight_mapping, .determine_pred_types, .effective_sample_size, .get_config_key, .get_data_subsets, .get_resample_weights, .has_preprocessor, .has_preprocessor_formula, .has_preprocessor_recipe, .has_preprocessor_variables, .has_spec, .is_cataclysmic, .loop_over_all_stages, .loop_over_all_stages2, .make_static, .needs_finalization, .par_fns, .set_workflow, .set_workflow_recipe, .set_workflow_spec, .update_model, .update_parallel_over, .update_recipe, .validate_resample_weights, .weighted_sd, add_resample_weights, calculate_resample_weights, extract_resample_weights and 3 more
2.0.1
record
2025-10-17 · diff ↗
2.0.0
record
2025-09-01 · diff ↗ ·
removed 2 exports
.catch_and_log_fit, extract_model

added 11 exports
choose_framework, eval_mirai, finalize_tailor, future_installed, get_future_workers, get_mirai_workers, get_parallel_seeds, has_non_par_pkgs, mirai_installed, par_fns, schedule_grid
R
R 4.5.0 released · 2025-04-11
1.3.0
record
2025-02-21 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.1
record
2024-04-18 · diff ↗
1.2.0
record
2024-03-20 · diff ↗ ·
added 15 exports
.filter_perf_metrics, .get_extra_col_names, .get_tune_eval_time_target, .get_tune_eval_times, check_eval_time_arg, check_metric_in_tune_results, check_metrics_arg, choose_eval_time, choose_metric, compute_metrics, first_eval_time, first_metric, get_metric_time, int_pctl, maybe_choose_eval_time
1.1.2
record
2023-08-24 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.1
record
2023-04-11 · diff ↗
1.1.0
record
2023-04-05 · diff ↗ ·
added 4 exports
.config_key_from_metrics, collect_extracts, fit_best, initialize_catalog
1.0.1
record
2022-10-09 · diff ↗ ·
added 2 exports
check_parameters, new_backend_options
1.0.0
record
2022-07-07 · diff ↗ ·
added 10 exports
.catch_and_log, .catch_and_log_fit, .estimate_metrics, .load_namespace, .stash_last_result, .use_case_weights_with_yardstick, control_last_fit, finalize_workflow_preprocessor, forge_from_workflow, show_notes
R
R 4.2.0 released · 2022-04-22

Show 12 earlier eventsHide 12 earlier events

0.2.0
record
2022-03-19 · diff ↗ ·
added 2 exports
collect_notes, extract_parameter_set_dials
0.1.6
record
2021-07-21 · diff ↗ ·
added 6 exports
extract_fit_engine, extract_fit_parsnip, extract_mold, extract_preprocessor, extract_spec_parsnip, extract_workflow
R
R 4.1.0 released · 2021-05-18
0.1.5
record
2021-04-23 · diff ↗
0.1.4
record
2021-04-20 · diff ↗
0.1.3
record
2021-02-28 · diff ↗ ·
added 1 export
.get_fingerprint
0.1.2
record
2020-11-17 · diff ↗ ·
removed 1 export
no_param

added 9 exports
augment, fit_max_value, message_wrap, min_grid.C5_rules, min_grid.cubist_rules, min_grid.pls, min_grid.poisson_reg, min_grid.rule_fit, required_pkgs
0.1.1
record
2020-07-08 · diff ↗ ·
added 26 exports
.get_tune_metric_names, .get_tune_metrics, .get_tune_outcome_names, .get_tune_parameter_names, .get_tune_parameters, .get_tune_workflow, check_initial, check_metrics, check_rset, check_time, check_workflow, conf_mat_resampled, coord_obs_pred, empty_ellipses, encode_set, estimate_tune_results, filter_parameters, get_tune_colors, is_preprocessor, is_recipe, is_workflow, metrics_info, new_iteration_results, pull_rset_attributes, val_class_and_single, val_class_or_null
R
R 4.0.0 released · 2020-04-24
0.1.0
record
2020-04-02 · diff ↗
0.0.1
record
2020-02-11
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-02-11
Total releases: 20 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 101 KB / 2 files
Download size: 1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tune")

Format

Kuhn, M., & Posit Software, PBC. (2026). tune: Tidy Tuning Tools (Version 2.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tune

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tune version 2.1.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →