Science Score: 54.0%

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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: emmanuel-aifs
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Size: 1.21 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

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

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

  • Login: emmanuel-aifs
  • Kind: user

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
Last Year

Dependencies

Dockerfile docker
  • ubuntu 20.04 build
.binder/requirements.txt pypi
autosklearn/requirements.txt pypi
  • ConfigSpace >=0.4.21,<0.5
  • dask >=2021.12
  • distributed >=2012.12
  • distro *
  • joblib *
  • liac-arff *
  • numpy >=1.9.0
  • pandas >=1.0
  • pynisher >=0.6.3,<0.7
  • pyrfr >=0.8.1,<0.9
  • pyyaml *
  • scikit-learn >=0.24.0,<0.25.0
  • scipy >=1.7.0
  • setuptools *
  • smac >=1.2,<1.3
  • threadpoolctl *
  • tqdm *
  • typing_extensions *
pyproject.toml pypi
requirements.txt pypi
  • ConfigSpace >=0.4.21,<0.5
  • dask >=2021.12
  • distributed >=2012.12
  • distro *
  • joblib *
  • liac-arff *
  • numpy >=1.9.0
  • pandas >=1.0
  • pynisher >=0.6.3,<0.7
  • pyrfr >=0.8.1,<0.9
  • pyyaml *
  • scikit-learn >=0.24.0,<0.25.0
  • scipy >=1.7.0
  • setuptools *
  • smac >=1.2,<1.3
  • threadpoolctl *
  • tqdm *
  • typing_extensions *
setup.py pypi