auto-sklearn

Automated Machine Learning with scikit-learn

Science Score: 64.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
✓
Academic publication links
Links to: arxiv.org
✓
Committers with academic emails
14 of 88 committers (15.9%) from academic institutions
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary

Keywords

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Keywords from Contributors

gaussian-processes tabular-data bayesian-optimisation algorithm-configuration benchmarking datascience distributed openml alignment yolov5s

Last synced: 4 months ago · JSON representation ·

Repository

Automated Machine Learning with scikit-learn

Basic Info

Host: GitHub
Owner: automl
License: bsd-3-clause
Language: Python
Default Branch: development
Homepage: https://automl.github.io/auto-sklearn
Size: 121 MB

Statistics

Stars: 7,937
Watchers: 214
Forks: 1,310
Open Issues: 204
Releases: 35

Topics

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Created over 10 years ago · Last pushed 4 months ago

Metadata Files

Readme Contributing License Citation

auto-sklearn

auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

Find the documentation here. Quick links: * Installation Guide * Releases * Manual * Examples * API

auto-sklearn in one image

auto-sklearn in four lines of code

python import autosklearn.classification cls = autosklearn.classification.AutoSklearnClassifier() cls.fit(X_train, y_train) predictions = cls.predict(X_test)

Relevant publications

If you use auto-sklearn in scientific publications, we would appreciate citations.

Efficient and Robust Automated Machine Learning Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter Advances in Neural Information Processing Systems 28 (2015)

Link to publication. @inproceedings{feurer-neurips15a, title = {Efficient and Robust Automated Machine Learning}, author = {Feurer, Matthias and Klein, Aaron and Eggensperger, Katharina and Springenberg, Jost and Blum, Manuel and Hutter, Frank}, booktitle = {Advances in Neural Information Processing Systems 28 (2015)}, pages = {2962--2970}, year = {2015} }

Auto-Sklearn 2.0: The Next Generation Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer and Frank Hutter* arXiv:2007.04074 [cs.LG], 2020

Link to publication. @article{feurer-arxiv20a, title = {Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning}, author = {Feurer, Matthias and Eggensperger, Katharina and Falkner, Stefan and Lindauer, Marius and Hutter, Frank}, booktitle = {arXiv:2007.04074 [cs.LG]}, year = {2020} }

Also, have a look at the blog on automl.org where we regularly release blogposts.

Owner

Name: AutoML-Freiburg-Hannover
Login: automl
Kind: organization
Location: Freiburg and Hannover, Germany

Website: www.automl.org
Repositories: 186
Profile: https://github.com/automl

Citation (CITATION.cff)

---
cff-version: 1.2.0

message: "If you use auto-sklearn in a scientific publication, we would appreciate a reference to the following paper"

title: "auto-sklearn"
date-released: "2015-07-02"

url: "https://automl.github.io/auto-sklearn/master/"
repository-code: "https://github.com/automl/auto-sklearn"

version: "0.14.0"

type: "software"
keywords:
  - "automated machine learning"
  - "machine learning"

license: "BSD-3-Clause"

authors:
  - family-names: "Feurer"
    given-names: "Matthias"
    orcid: "https://orcid.org/0000-0001-9611-8588"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Eggensperger"
    given-names: "Katharina"
    orcid: "https://orcid.org/0000-0002-0309-401X"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Bergman"
    given-names: "Edward"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Rivera Valverde"
    given-names: "Francisco"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Jost"
    given-names: "Springenberg"
    orcid: "https://orcid.org/0000-0002-9392-1006"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Manuel"
    given-names: "Blum"
    affiliation: "University of Freiburg, Germany"

  - family-names: "Hutter"
    given-names: "Frank"
    affiliation: "University of Freiburg, Germany"

preferred-citation:
  type: "proceedings"
  title: "Efficient and Robust Automated Machine Learning"
  collection-title: "Advances in Nerual Infromation Processing Systems 28 (2015)"
  year: 2015
  pages: "2962--2970"
  url: "https://papers.neurips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf"

  publisher:
    name: "Curran Associates, Inc."

  editors:

    - family-names: "Cortes"
      given-names: "C."

    - family-names: "Lawrence"
      given-names: "N."

    - family-names: "Lee"
      given-names: "D."

    - family-names: "Sugiyama"
      given-names: "M."

    - family-names: "Garnett"
      given-names: "R."

  authors:

    - family-names: "Feurer"
      given-names: "Matthias"
      orcid: "https://orcid.org/0000-0001-9611-8588"
      affiliation: "University of Freiburg, Germany"

    - family-names: "Klein"
      given-names: "Aaron"
      affiliation: "University of Freiburg, Germany"

    - family-names: "Eggensperger"
      given-names: "Katharina"
      orcid: "https://orcid.org/0000-0002-0309-401X"
      affiliation: "University of Freiburg, Germany"

    - family-names: "Jost"
      given-names: "Springenberg"
      orcid: "https://orcid.org/0000-0002-9392-1006"
      affiliation: "University of Freiburg, Germany"

    - family-names: "Manuel"
      given-names: "Blum"
      affiliation: "University of Freiburg, Germany"

    - family-names: "Hutter"
      given-names: "Frank"
      affiliation: "University of Freiburg, Germany"
...

GitHub Events

Total

Issues event: 6
Watch event: 338
Delete event: 5
Member event: 3
Issue comment event: 32
Pull request review event: 1
Pull request event: 18
Fork event: 40
Create event: 4

Last Year

Issues event: 6
Watch event: 338
Delete event: 5
Member event: 3
Issue comment event: 32
Pull request review event: 1
Pull request event: 18
Fork event: 40
Create event: 4

Committers

Last synced: 7 months ago

All Time

Total Commits: 2,396
Total Committers: 88
Avg Commits per committer: 27.227
Development Distribution Score (DDS): 0.452

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Matthias Feurer	f**m@i**e	1,312
Katharina Eggensperger	e**k@i**e	304
Eddie Bergman	e**s@g**m	179
jinu	a**0@h**m	134
Francisco Rivera Valverde	4****a	77
kleinaa	k**a@i**e	59
Jost Tobias Springenberg	s**j@i**e	39
Anatolii Domashnev	a**v@g**m	38
Jin Woo Ahn	a**j@i**e	27
Gui Miotto	g**o@g**m	15
Marius Lindauer	l**r@c**e	14
Sapronov Alexander	s**2@g**m	14
dependabot[bot]	4****]	10
Rohit Agarwal	r**9@g**m	10
herilalaina	r**a@g**m	10
Lukas Strack	7****e	9
Stefan Falkner	s**r@i**e	7
Manuel Blum	m**m@i**e	7
Yassine Morakakam	y**m@w**m	6
Aron Bahram	a**m@g**m	6
Jesper van Engelen	c**t@j**l	5
Diego Kobylkin	M****t	4
Jaidev Deshpande	d**v@g**m	4
Jirka Borovec	B****a	4
github-actions[bot]	4****]	4
Enrico Testa	ET@E****l	4
herilalaina rakotoarison	h**a@t**r	4
root	j**y@r**m	4
hmendozap	h**a@g**m	3
Jongheon Jeong	b**t@k**r	3
and 58 more...

Committer Domains (Top 20 + Academic)

informatik.uni-freiburg.de: 7 cs.uni-freiburg.de: 1 worldline.com: 1 jepps.nl: 1 titanic-master.saclay.inria.fr: 1 roche.com: 1 kaist.ac.kr: 1 mail.hfut.edu.cn: 1 iki.fi: 1 kth.se: 1 access-company.com: 1 numberly.com: 1 aadpool8.informatik.uni-freiburg.de: 1 yahoo.de: 1 grossberger.xyz: 1 tue.nl: 1 oath.com: 1 verizonmedia.com: 1 yandex.ru: 1 protonmail.ch: 1 mail.huji.ac.il: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 137
Total pull requests: 88
Average time to close issues: 3 months
Average time to close pull requests: 3 months
Total issue authors: 103
Total pull request authors: 16
Average comments per issue: 3.93
Average comments per pull request: 1.23
Merged pull requests: 9
Bot issues: 0
Bot pull requests: 59

Past Year

Issues: 8
Pull requests: 18
Average time to close issues: about 5 hours
Average time to close pull requests: 27 days
Issue authors: 8
Pull request authors: 3
Average comments per issue: 0.0
Average comments per pull request: 0.39
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 15

View more stats

Top Authors

Issue Authors

eddiebergman (15)
belzheng (5)
AmirAlavi (4)
mfeurer (3)
MrKevinDC (3)
AhangarAamir (2)
xieleo5 (2)
FelixNeutatz (2)
yevIbrahimov (2)
sayannath (2)
bankuaimianbao (2)
aron-bram (2)
kefa23 (2)
tron27 (2)
ratchetwrench (1)

Pull Request Authors

dependabot[bot] (57)
eddiebergman (7)
aron-bram (7)
Preethi1609 (2)
github-actions[bot] (2)
agnelvishal (2)
franchuterivera (2)
nklemashev (1)
agentmarketbot (1)
mark-golden (1)
Louquinze (1)
auvipy (1)
LennartPurucker (1)
Alexsandruss (1)
deadly-panda (1)

Top Labels

Issue Labels

enhancement (19) bug (14) question (13) maintenance (9) Good first issue (8) documentation (4) Need contributor (3) dependencies (1)

Pull Request Labels

dependencies (57) Stale (48) maintenance (4) github_actions (4) enhancement (2)

Packages

Total packages: 3
Total downloads:
- pypi 14,597 last-month
Total docker downloads: 355

Total dependent packages: 9
(may contain duplicates)
Total dependent repositories: 85
(may contain duplicates)
Total versions: 73
Total maintainers: 3

pypi.org: auto-sklearn

Automated machine learning.

Homepage: https://automl.github.io/auto-sklearn
Documentation: https://auto-sklearn.readthedocs.io/
License: BSD3
Latest release: 0.15.0
published over 3 years ago

Versions: 42
Dependent Packages: 8
Dependent Repositories: 83
Downloads: 14,597 Last month
Docker Downloads: 355

Rankings

Stargazers count: 0.3%

Dependent packages count: 0.9%

Forks count: 1.2%

Average: 1.4%

Dependent repos count: 1.6%

Downloads: 1.8%

Docker downloads count: 2.3%

Maintainers (3)

eddiebergman mfeurer keggensperger

Last synced: 4 months ago

proxy.golang.org: github.com/automl/auto-sklearn

Documentation: https://pkg.go.dev/github.com/automl/auto-sklearn#section-documentation
License: bsd-3-clause
Latest release: v0.15.0
published over 3 years ago

Versions: 20
Dependent Packages: 0
Dependent Repositories: 1

Rankings

Forks count: 0.7%

Stargazers count: 0.8%

Average: 3.7%

Dependent repos count: 4.8%

Dependent packages count: 8.5%

Last synced: 4 months ago

conda-forge.org: auto-sklearn

auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

Homepage: https://automl.github.io/auto-sklearn
License: BSD-3-Clause AND Apache-2.0
Latest release: 0.15.0
published over 3 years ago

Versions: 11
Dependent Packages: 1
Dependent Repositories: 1

Rankings

Stargazers count: 4.1%

Forks count: 4.3%

Average: 15.3%

Dependent repos count: 24.1%

Dependent packages count: 28.9%

Last synced: 4 months ago

Dependencies

autosklearn/requirements.txt pypi

ConfigSpace >=0.4.14,<0.5
dask >=2021.12
distributed >=2012.12
distro *
joblib *
liac-arff *
numpy >=1.9.0
pandas >=1.0
pynisher >=0.6.3
pyrfr >=0.8.1,<0.9
pyyaml *
scikit-learn >=0.24.0,<0.25.0
scipy >=1.7.0
setuptools *
smac >=0.14
threadpoolctl *
typing_extensions *

requirements.txt pypi

ConfigSpace >=0.4.14,<0.5
dask >=2021.12
distributed >=2012.12
distro *
joblib *
liac-arff *
numpy >=1.9.0
pandas >=1.0
pynisher >=0.6.3
pyrfr >=0.8.1,<0.9
pyyaml *
scikit-learn >=0.24.0,<0.25.0
scipy >=1.7.0
setuptools *
smac >=0.14
threadpoolctl *
typing_extensions *

.github/workflows/regressions.yml actions

actions/checkout v3.1.0 composite
actions/download-artifact v3 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite
dawidd6/action-download-artifact v2 composite
peter-evans/create-or-update-comment v2 composite
peter-evans/create-or-update-comment v1 composite
peter-evans/find-comment v2 composite

.github/workflows/citation_cff.yml actions

actions/checkout v3.1.0 composite
citation-file-format/cffconvert-github-action 2.0.0 composite

.github/workflows/dist.yml actions

actions/checkout v3.1.0 composite
actions/setup-python v4 composite

.github/workflows/docker-publish.yml actions

actions/checkout v3.1.0 composite
docker/build-push-action v3 composite
docker/login-action v2 composite
docker/metadata-action v4 composite

.github/workflows/docs.yml actions

actions/checkout v3.1.0 composite
actions/setup-python v4 composite

.github/workflows/generate-baselines.yml actions

actions/checkout v3.1.0 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite

.github/workflows/pre-commit-update.yml actions

actions/checkout v3.1.0 composite
actions/setup-python v2 composite
browniebroke/pre-commit-autoupdate-action main composite
peter-evans/create-pull-request v4 composite

.github/workflows/pre-commit.yaml actions

actions/checkout v3.1.0 composite
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.github/workflows/pytest.yml actions

actions/checkout v3.1.0 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite

.github/workflows/stale.yaml actions

actions/stale v6 composite

Dockerfile docker

ubuntu 20.04 build

.github/workflows/benchmarking-files/benchmarks/classification.yaml actions

.github/workflows/benchmarking-files/benchmarks/regression.yaml actions

.github/workflows/benchmarking-files/config.yaml actions

.github/workflows/benchmarking-files/constraints.yaml actions

.github/workflows/benchmarking-files/frameworks.yaml actions

.binder/requirements.txt pypi

pyproject.toml pypi

setup.py pypi

auto-sklearn

Science Score: 64.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

auto-sklearn

auto-sklearn in one image

auto-sklearn in four lines of code

Relevant publications

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: auto-sklearn

Rankings

Maintainers (3)

proxy.golang.org: github.com/automl/auto-sklearn

Rankings

conda-forge.org: auto-sklearn

Rankings

Dependencies