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ml

0.1.2

Supervised Learning with Mandatory Splits and Seeds

0packages depend
2.3Kdownloads / year
75.1%test coverage
13/13checks pass

Overview

About
Maintained by Simon RothFirst published 2026-03-191 releasesCRAN page ↗GitHub ↗

Implements the split-fit-evaluate-assess workflow from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0-387-84857-0) "The Elements of Statistical Learning", Chapter 7. Provides three-way data splitting with automatic stratification, mandatory seeds for reproducibility, automatic data type handling, and 10 algorithms out of the box. Uses 'Rust' backend for cross-language deterministic splitting. Designed for tabular supervised learning with minimal ceremony. Polyglot parity with the 'Python' 'mlw' package on 'PyPI'.

Install

Health

CRAN checks
13OK
Slowest check: 6.7 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.83
75.1%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-06
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-08-04
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-23
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-19
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 25 earlier snapshots
  • OK2026-07-18
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-16
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-07-07
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-03
    11 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
  • OK2026-06-30
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-29
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-27
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-24
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-18
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-16
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-06
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-01
    10 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
  • OK2026-05-26
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-24
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-17
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-05-09
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-28
    11 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
  • OK2026-04-24
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-16
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-15
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-11
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-29
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-20
    5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 520 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
73%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #8,537 · ~6/day · ~192/mo
Daily download trend is not available in this view yet.
21730 days
1.1K90 days
2.3K1 year
Compare downloads with other packages →
Also on162 r2u33 autocran

Repository

Repository
9Stars
1Forks
0Open issues
1Open PRs
0Releases
36Commits
2Contributors
License MIT · 36 commits · Last activity 2026-05-24 · 0% stars, 30d

Stars over time

2026-03-09 · 52026-07-07 · 9

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/epagogy/ml on 2026-08-23.

Continuous integration (1)
GitHub Actions
Research and citation (1)
CITATION.cff
Governance and community (2)
Security policyGovernance doc
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-03-14

claude

Most recent: claude on 2026-03-14

Evidence
  • claude: on or before 2026-03-14 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (5)
clirlangstatsutilswithr
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2026-03-19 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-19
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
156 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ml")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ml version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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