R Observatory: Metrics for ml version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ml

0.1.2Package record

Supervised Learning with Mandatory Splits and Seeds

0packages depend

2.9Kdownloads / year

75.1%test coverage

12/13flavors OK

Overview

About

Maintained by Simon RothCRAN page ↗GitHub ↗Website ↗Issues ↗

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'.

Changes in 0.1.2

Fixed

Per-holdout assess enforcement: ml_assess() now rejects a second call on the same test partition regardless of which model calls it. The provenance registry tracks spent holdouts via content-addressed fingerprinting.
Fixed ml_prepare() return value extraction (X and norm fields).

New

ml_cv(), ml_cv_temporal(), ml_cv_group() for cross-validation.
ml_verify() for post-fit model verification.
ml_prepare() for explicit preprocessing.
Content-addressed provenance registry (rlang::hash fingerprinting).
Cross-verb provenance checks (train/test from same split).

From NEWS.md in the release

Install

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

install.packages("ml", 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("epagogy/ml")

Development version from epagogy/ml. 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-ml

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-ml

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-ml

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

1ERROR12OK

Check messages

ERRORtestsr-devel-windows-x86_64

Running 'testthat.R' [82s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(ml)
  > 
  > test_check("ml")
  -- Calibrated ml_model [classification | logistic | Platt scaling]
  Saved: D:\temp\2026_10_15_10_16_52_18621\RtmpQJZYWb\file5b7c01e6d62ec.html
  Saved: D:\temp\2026_10_15_10_16_52_18621\RtmpQJZYWb\file5b7c05a7d3349.html
  Saved: D:\temp\2026_10_15_10_16_52_18621\RtmpQJZYWb\file5b7c0796a3f91.html
  Saving _problems/test-screen-13.R
  [ FAIL 1 | WARN 1546 | SKIP 49 | PASS 1547 ]
  
  ══ Skipped tests (49) ══════════════════════════════════════════════════════════
  • Rust backend not available (44): 'test-rust.R:15:3', 'test-rust.R:26:3',
    'test-rust.R:38:3', 'test-rust.R:48:3', 'test-rust.R:63:3',
    'test-rust.R:72:3', 'test-rust.R:81:3', 'test-rust.R:92:3',
    'test-rust.R:102:3', 'test-rust.R:112:3', 'test-rust.R:124:3',
    'test-rust.R:134:3', 'test-rust.R:155:3', 'test-rust.R:164:3',
    'test-rust.R:173:3', 'test-rust.
...[truncated]...
3:3', 'test-rust.R:395:3',
    'test-rust.R:409:3', 'test-rust.R:425:3', 'test-rust.R:438:3',
    'test-rust.R:447:3', 'test-rust.R:463:3', 'test-rust.R:475:3',
    'test-rust.R:487:3', 'test-rust.R:498:3', 'test-rust.R:514:3',
    'test-rust.R:526:3', 'test-rust.R:538:3', 'test-rust.R:550:3'
  • empty test (2): 'test-parity-w3.R:163:1', 'test-screen.R:16:1'
  • gradient_boosting not available: algorithm='gradient_boosting'/'histgradient'
    requires the Rust backend. (2): 'test-workflow.R:195:5',
    'test-workflow.R:391:7'
  • logistic is clf-only — use linear for regression; tested separately (1):
    'test-predict.R:16:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-screen.R:13:3'): screen has time column (numeric, > 0) ───────
  Expected `all(lb$time > 0)` to be TRUE.
  Differences:
  `actual`:   FALSE
  `expected`: TRUE 
  
  
  [ FAIL 1 | WARN 1546 | SKIP 49 | PASS 1547 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 6.7 min · r-oldrel-macos-x86_64

Status changes

ERROR12 OK, 1 ERROR2026-10-17
OK13 OK2026-08-06
ERROR11 OK, 1 NOTE, 1 ERROR2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-23

Show 26 earlier changesHide 26 earlier changes

ERROR12 OK, 1 ERROR2026-07-19
OK13 OK2026-07-18
ERROR12 OK, 1 ERROR2026-07-16
OK13 OK2026-07-07
ERROR11 OK, 2 ERROR2026-07-03
OK13 OK2026-06-30
ERROR12 OK, 1 ERROR2026-06-29
OK13 OK2026-06-27
ERROR12 OK, 1 ERROR2026-06-24
OK13 OK2026-06-18
ERROR12 OK, 1 ERROR2026-06-16
OK13 OK2026-06-06
ERROR10 OK, 3 ERROR2026-06-01
OK13 OK2026-05-26
ERROR12 OK, 1 ERROR2026-05-24
OK13 OK2026-05-17
ERROR12 OK, 1 ERROR2026-05-09
OK13 OK2026-05-05
ERROR11 OK, 2 ERROR2026-04-28
OK14 OK2026-04-24
ERROR13 OK, 1 ERROR2026-04-16
OK14 OK2026-04-15
ERROR13 OK, 1 ERROR2026-04-11
OK14 OK2026-03-30
ERROR13 OK, 1 ERROR2026-03-29
OK5 OK2026-03-20

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMEYes · 520 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileYes · software entry onlyWebsiteYes

Help pages: 70 (16 internal)includes a package overview page
Examples that run: 73%29 run in a plain check · 11 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Getting Started with ml HTML

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #11,560 · ~8/day · ~244/mo

Releases R versions

Daily download trend is not available in this view yet.

35730 days

91990 days

2.9K1 year

Compare downloads with other packages →

Also on179 r2u6 autocran

How downloads are counted

Repository

epagogy/ml ↗Organization: epagogy

9Stars

1Forks

0Open issues

1Open PRs

0Releases

36Commits

2Commit identities

License file reads as MIT · 36 commits · Last activity 2026-04-03 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 50%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2026-03-09 · 52026-07-07 · 9

How these are measured

PracticesBeta

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

Checks run against github.com/epagogy/ml on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Governance and community (4)

Code of conductContributing guideSecurity policyGovernance doc

Research and citation (1)

CITATION.cff

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-03-14
Named in .gitignore: .claude, CLAUDE.md
Commits: at least 1 crediting it in the message

Models named in its commits

Claude Opus 4.61 commit · Mar 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing ml adds 3 packages (2 with compiled code, 1.5 MB of source tarballs). Heaviest: rlang 766 KB, cli 629 KB, withr 102 KB.

Depends (1)

R >= 4.1.0

Imports (5)

cli rlangstatsutilswithr

LinkingTo (0)

none

Suggests (15)

testthat xgboost rangerrparte1071 kknn glmnet naivebayes lightgbm tm tibble knitr rmarkdown caret rsample

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Simon Roth

Author, Maintainer since 0.1.2 (2026)

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.2Latest
record
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

Cite

Cite this package

Run in R for the authors' entry:

citation("ml")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.5281/zenodo.19023838.

The repository also keeps a CITATION.cff.

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 ml version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, 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 →