mikropml

machine-learning r-package rstats

Score: 13.666095978420785

Last synced: about 24 hours ago
JSON representation

Repository metadata:

User-Friendly R Package for Supervised Machine Learning Pipelines

Host: GitHub
URL: https://github.com/SchlossLab/mikropml
Owner: SchlossLab
License: other
Created: 2019-12-09T22:37:38.000Z (over 6 years ago)
Default Branch: main
Last Pushed: 2025-11-03T15:21:47.000Z (8 months ago)
Last Synced: 2026-04-08T10:05:01.225Z (3 months ago)
Topics: machine-learning, r-package, rstats
Language: R
Homepage: http://www.schlosslab.org/mikropml
Size: 145 MB
Stars: 62
Watchers: 6
Forks: 21
Open Issues: 12
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Support: .github/SUPPORT.md
- Codemeta: codemeta.json

CodeMeta metadata:

@context: https://doi.org/10.5063/schema/codemeta-2.0
@type: SoftwareSourceCode
Author:
- - @id: https://orcid.org/0000-0003-3140-537X
  - @type: Person
  - Family name: Topçuoğlu
  - Given name: Begüm
- - @id: https://orcid.org/0000-0003-4674-2176
  - @type: Person
  - Family name: Lapp
  - Given name: Zena
- - @id: https://orcid.org/0000-0003-3283-829X
  - @type: Person
  - Family name: Sovacool
  - Given name: Kelly
- - @id: https://orcid.org/0000-0001-8409-278X
  - @type: Person
  - Family name: Snitkin
  - Given name: Evan
- - @id: https://orcid.org/0000-0002-1057-7722
  - @type: Person
  - Family name: Wiens
  - Given name: Jenna
- - @id: https://orcid.org/0000-0002-6935-4275
  - @type: Person
  - Family name: Schloss
  - Given name: Patrick
Code repository: https://github.com/SchlossLab/mikropml
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website for more information, documentation, and examples.
Identifier: https://doi.org/10.21105/joss.03073
Keywords:
- machine-learning
- r-package
- rstats
License: https://spdx.org/licenses/MIT
Name: mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
Url: https://www.schlosslab.org/mikropml/

Owner metadata:

Name: SchlossLab
Login: SchlossLab
Email: pschloss@umich.edu
Kind: organization
Description: The laboratory of Pat Schloss at the University of Michigan
Website:
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/7229330?v=4
Repositories: 91
Last Synced at: 2023-05-15T12:35:13.610Z
Profile URL: https://github.com/SchlossLab

GitHub Events

Total

Create event: 9
Delete event: 4
Fork event: 3
Issue comment event: 14
Issues event: 7
Pull request event: 13
Pull request review event: 2
Push event: 44
Release event: 1
Watch event: 4
Total: 101

Last Year

Create event: 8
Delete event: 4
Fork event: 2
Issue comment event: 13
Issues event: 5
Pull request event: 10
Pull request review event: 2
Push event: 33
Release event: 1
Total: 78

Committers metadata

Last synced: 2 months ago

Total Commits: 1,882
Total Committers: 22
Avg Commits per committer: 85.545
Development Distribution Score (DDS): 0.435

Commits in past year: 37
Committers in past year: 4
Avg Commits per committer in past year: 9.25
Development Distribution Score (DDS) in past year: 0.135

Name	Email	Commits
Kelly Sovacool	k**l@g**m	1063
github-actions[bot]	4****]	405
Zena Lapp	z**p@g**m	163
Begüm D. Topçuoğlu	3****u	100
BegumTop	b**p@u**u	52
Begum Topcuoglu	b**u@m**m	21
Nick Lesniak	N**k@u**u	21
William L. Close	c**l@g**m	13
Courtney Armour	c**r@g**m	11
Pat Schloss	p**s@u**u	8
Tuomas Borman	t**m@u**i	5
Ariangela J. Kozik	a**o@g**m	3
Lucas Bishop	b**5@g**m	3
Begum Topcuoglu	b**p@g**u	3
sklucas	s****s	2
tomkoset	t**t@u**u	2
Begum Topcuoglu	b**p@g**u	2
Benjamin Valderrama	5****a	1
JMAStough	j**h@g**m	1
Samara Rifkin	s**7@y**m	1
Teun van den Brand	t**d@g**m	1
agarretto96	a**6@g**m	1

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 53
Total pull requests: 71
Average time to close issues: 5 months
Average time to close pull requests: 5 days
Total issue authors: 22
Total pull request authors: 8
Average comments per issue: 1.26
Average comments per pull request: 0.83
Merged pull request: 60
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 14
Past year average time to close issues: 5 months
Past year average time to close pull requests: about 16 hours
Past year issue authors: 3
Past year pull request authors: 4
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.57
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/SchlossLab/mikropml

Top Issue Authors

kelly-sovacool (26)
pschloss (4)
zenalapp (3)
ecmaggioncalda (2)
sskoldas (1)
dansmith01 (1)
Benjamin-Valderrama (1)
SWi1 (1)
NLesniak (1)
joannacolovas (1)
Hesham999666 (1)
zhq90 (1)
marwa38 (1)
TuomasBorman (1)
alexmsalmeida (1)

Top Pull Request Authors

kelly-sovacool (58)
zenalapp (4)
courtneyarmour (3)
TuomasBorman (2)
BTopcuoglu (1)
megancoden (1)
Benjamin-Valderrama (1)
teunbrand (1)

Top Issue Labels

feature (18)
documentation (10)
bug (9)
good first issue (8)
JOSS-paper (6)
wontfix (2)
reprex (1)

Top Pull Request Labels

documentation (2)
JOSS-paper (2)
bug (1)

Package metadata

Total packages: 2
Total downloads:
- cran: 421 last-month
Total docker downloads: 99
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 7 (may contain duplicates)
Total versions: 25
Total maintainers: 1

cran.r-project.org: mikropml

User-Friendly R Package for Supervised Machine Learning Pipelines

Homepage: https://www.schlosslab.org/mikropml/
Documentation: http://cran.r-project.org/web/packages/mikropml/mikropml.pdf
Licenses: MIT + file LICENSE
Latest release: 1.7.0 (published 8 months ago)
Last Synced: 2026-04-08T10:01:37.898Z (3 months ago)
Versions: 15
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 421 Last month
Docker Downloads: 99
Rankings:
- Forks count: 4.836%
- Stargazers count: 6.831%
- Docker downloads count: 17.16%
- Average: 17.819%
- Dependent repos count: 23.865%
- Downloads: 25.564%
- Dependent packages count: 28.657%
Maintainers (1)
- sovacool@umich.edu

conda-forge.org: r-mikropml

An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <http://www.schlosslab.org/mikropml/> for more information, documentation, and examples.

Homepage: http://www.schlosslab.org/mikropml/
Licenses: MIT
Latest release: 1.4.0 (published over 3 years ago)
Last Synced: 2026-04-01T02:01:13.174Z (3 months ago)
Versions: 10
Dependent Packages: 0
Dependent Repositories: 6
Rankings:
- Dependent repos count: 13.923%
- Average: 36.602%
- Forks count: 40.167%
- Stargazers count: 40.731%
- Dependent packages count: 51.589%

Dependencies

DESCRIPTION cran

R >= 4.1.0 depends
MLmetrics * imports
caret * imports
dplyr * imports
e1071 * imports
glmnet * imports
kernlab * imports
randomForest * imports
rlang * imports
rpart * imports
stats * imports
utils * imports
xgboost * imports
doFuture * suggests
foreach * suggests
future * suggests
future.apply * suggests
ggplot2 * suggests
knitr * suggests
progress * suggests
progressr * suggests
purrr * suggests
rmarkdown * suggests
testthat * suggests
tidyr * suggests

.github/workflows/check.yml actions

actions/checkout v2 composite
actions/upload-artifact main composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/on-release.yml actions

actions/checkout v2 composite
ad-m/github-push-action master composite

.github/workflows/pr_build.yml actions

actions/checkout v2 composite
ad-m/github-push-action master composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite

.github/workflows/test-coverage.yml actions

actions/cache v1 composite
actions/checkout v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite

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