Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:citation |
Fabian Pedregosa et al., JMLR 12, pp. 2825-2830, 2011
|
| gptkbp:dependsOn |
gptkb:NumPy
gptkb:SciPy gptkb:joblib gptkb:threadpoolctl |
| gptkbp:developer |
gptkb:scikit-learn_developers
gptkb:INRIA gptkb:David_Cournapeau |
| gptkbp:documentation |
https://scikit-learn.org/stable/documentation.html
|
| gptkbp:feature |
community support
cross-validation ensemble methods feature selection grid search open source extensive documentation active development support for parallel processing API consistency easy installation extensible API integration with NumPy and SciPy integration with pandas model evaluation metrics randomized search support for custom estimators support for multiple algorithms support for pipelines support for sparse matrices well-tested codebase |
| gptkbp:firstReleased |
2007
|
| https://www.w3.org/2000/01/rdf-schema#label |
scikit-learn
|
| gptkbp:latestReleaseVersion |
1.4.2
|
| gptkbp:license |
gptkb:BSD_license
|
| gptkbp:logo |
https://scikit-learn.org/stable/_static/scikit-learn-logo-small.png
|
| gptkbp:officialWebsite |
https://scikit-learn.org/
|
| gptkbp:partOf |
gptkb:scipy_ecosystem
|
| gptkbp:pipInstallCommand |
pip install scikit-learn
|
| gptkbp:platform |
cross-platform
|
| gptkbp:repository |
https://github.com/scikit-learn/scikit-learn
|
| gptkbp:usedFor |
gptkb:dictionary
regression clustering dimensionality reduction model selection preprocessing |
| gptkbp:writtenBy |
gptkb:Python
|
| gptkbp:bfsParent |
gptkb:artificial_intelligence
|
| gptkbp:bfsLayer |
4
|