Concept information
Preferred term
scikit-learn
Definition(s)
- A Python library for machine learning.
Broader concept(s)
Bibliographic citation(s)
- • Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12(85), 2825–2830.
has application field
has design country
- France
has repository
has download location
implements
- Adaboost
- affinity propagation
- agglomerative clustering
- BIRCH algorithm
- DBScan
- decision tree
- gaussian mixture model
- Gaussian process classifier
- hierarchical clustering
- k-nearest neighbor classification
- latent Dirichlet allocation
- latent semantic analysis
- mean shift
- naive Bayes classifier
- OPTICS algorithm
- Perceptron
- principal component analysis
- quadratic discriminant analysis
- singular value decomposition
- spectral clustering
- stochastic gradient descent
is encoded in
has interface
is executed in
has for license
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/LTK-V4Q085KK-5
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