Automatic Machine Learning with 'tidymodels'
Overview
The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Breaking Changes
None
New Features
None
Minor Fixes and Improvements
ocumentation and roxygen output refresh.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-28
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 35 (2 internal)
- Examples that run
- 94%29 run in a plain check · 2 never run
- Exported functions with examples
- 89%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 99%
- Median days to close, 50 most recently updated closed issues
- 7
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
Commits over time
8 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/spsanderson/tidyaml on 2026-10-18.
This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2025-08-23Seen in the repository: .github/copilot-instructions.md, .github/instructionsPull request: opened by its own accountCommits: 15 by its own account
- Copilot code reviewCommits: at least 2 accepting its review suggestions
Dependencies
Installing tidyAML adds 97 packages (46 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.0.8Latest2025-05-12 · current release · diff ↗ ·
added 70 exports
brulee_classification_logistic_reg, brulee_classification_mlp, brulee_classification_multinom_reg, brulee_regression_linear_reg, brulee_regression_mlp, cubist_regression_cubist_rules, dbarts_classification_bart, dbarts_regression_bart, earth_classification_bag_mars, earth_classification_discrim_flexible, earth_classification_mars, earth_regression_bag_mars, earth_regression_mars, gee_classification_logistic_reg, gee_regression_linear_reg, gee_regression_poisson_reg, glm_classification_logistic_reg, glm_regression_linear_reg, glm_regression_poisson_reg, glmer_classification_logistic_reg, glmer_regression_linear_reg, glmer_regression_poisson_reg, glmnet_classification_logistic_reg, glmnet_classification_multinom_reg, glmnet_regression_linear_reg, glmnet_regression_poisson_reg, gls_regression_linear_reg, hurdle_regression_poisson_reg, kernlab_classification_svm_linear, kernlab_classification_svm_poly and 40 more - 0.0.62025-05-12 · diff ↗ ·
added 3 exports
check_duplicate_rows, extract_tunable_params, quantile_normalize - RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.0.5
- 0.0.4
- 0.0.32023-11-29 · diff ↗ ·
removed 1 export
%>%added 2 exports
full_internal_make_wflw, internal_make_wflw_gee_lin_reg - RR 4.3.0 released · 2023-04-21
- 0.0.22023-04-20 · diff ↗
- 0.0.12023-02-16
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-16
- Total releases
- 7 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 96 KB
Cite
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