R Observatory: Metrics for interpret version 0.1.35

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

interpret

0.1.35Package record

Fit Interpretable Machine Learning Models

0packages depend

3.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Rich CaruanaCRAN page ↗GitHub ↗Issues ↗

Package for training interpretable machine learning models. Historically, the most interpretable machine learning models were not very accurate, and the most accurate models were not very interpretable. Microsoft Research has developed an algorithm called the Explainable Boosting Machine (EBM) which has both high accuracy and interpretable characteristics. EBM uses machine learning techniques like bagging and boosting to breathe new life into traditional GAMs (Generalized Additive Models). This makes them as accurate as random forests and gradient boosted trees, and also enhances their intelligibility and editability. Details on the EBM algorithm can be found in the paper by Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad (2015, doi:10.1145/2783258.2788613).

Install

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

install.packages("interpret", 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("interpretml/interpret")

Development version from interpretml/interpret. 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-interpret

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-interpret

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-interpret

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: 4.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE11 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.35

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.5K

CRAN downloads in the past year

Rank #11,551 · ~10/day · ~292/mo

Releases R versions

Daily download trend is not available in this view yet.

48430 days

93390 days

3.5K1 year

Compare downloads with other packages →

Also on608 r2u3 autocran

How downloads are counted

Repository

interpretml/interpret ↗Organization: interpretml

6,967Stars

792Forks

37Open issues

9Open PRs

66Releases

3,985Commits

60Commit identities

machine-learninginterpretabilitygradient-boostingblackboxscikit-learnxaiinterpretmlinterpretable-machine-learning

License file reads as MIT · 3,985 commits · Last activity 2026-10-18 · +0.3% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 76%
Median days to close, 50 most recently updated closed issues: 866
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-10-21 · 6,6622026-10-22 · 6,966

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/interpretml/interpret on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Governance and community (2)

Contributing guideGovernance doc

Coverage (1)

Coverage reporting (Codecov)

Automation and maintenance (1)

pre-commit

Show all practicesHide 1 practice

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-08-10
Pull request: opened by its own account
Commits: 3 by its own account · at least 4 crediting it in the message
Claude Codefirst seen 2026-04-14
Seen in the repository: CLAUDE.md
Commits: at least 3 crediting it in the message

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

Models named in its commits

Claude Opus 4.61 commit · Apr 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

0 external dependencies (excludes base and recommended)

Installing interpret adds no packages beyond those that come with R.

Depends (1)

R >= 3.0.0

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Rich Caruana

Author, Maintainer since 0.1.18 (2019)

Samuel Jenkins

Author

Paul Koch

Author

Harsha Nori

Author

The InterpretML Contributors

Copyright holder · added in 0.1.34

Listed in earlier versions (1)

Microsoft Corporation

no longer listed · 0.1.18 to 0.1.33

Releases (13)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-03-03
0.1.35Latest
record
2026-03-03 · current release · diff ↗
archivedRemoved from CRAN
2025-08-28
errors were not corrected in time
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2024-11-28
0.1.34
record
2024-11-28 · diff ↗
archivedRemoved from CRAN
2024-11-11
issues were not corrected despite reminders
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.33
record
2023-01-28 · diff ↗
unarchivedReturned to CRAN
2023-01-26
0.1.28
record
2023-01-26 · diff ↗
archivedRemoved from CRAN
2022-12-05
issues were not corrected despite reminders
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18

Show 13 earlier eventsHide 13 earlier events

0.1.26
record
2020-10-12 · diff ↗ ·
added 1 export
ebm_show
0.1.25.1
record
2020-10-11 · diff ↗
0.1.25
record
2020-10-11 · diff ↗ ·
removed 5 exports
ebm_feature, ebm_feature_combination, initialize_interaction_classification, initialize_interaction_regression, get_interaction_score
R
R 4.0.0 released · 2020-04-24
0.1.24
record
2019-12-12 · diff ↗ ·
removed 5 exports
initialize_training_regression, initialize_training_classification, training_step, get_current_model_feature_combination, get_best_model_feature_combination

added 2 exports
ebm_classify, ebm_predict_proba
0.1.23
record
2019-11-03 · diff ↗
0.1.22
record
2019-10-13 · diff ↗
0.1.21
record
2019-10-10 · diff ↗
unarchivedReturned to CRAN
2019-10-07
archivedRemoved from CRAN
2019-10-07
policy violation Undeclared platform requirements, not 'cross-platform portable code'
0.1.20
record
2019-10-07 · diff ↗
0.1.18
record
2019-10-06
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-06
Total releases: 13 / 7 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.0.0
Download size: 384 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("interpret")

Format

Caruana, R., The InterpretML Contributors, Jenkins, S., Koch, P., & Nori, H. (2026). interpret: Fit Interpretable Machine Learning Models (Version 0.1.35) [Computer software]. https://doi.org/10.32614/CRAN.package.interpret

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 interpret version 0.1.35 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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