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Automated Machine Learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Find the documentation here
import autosklearn.classification cls = autosklearn.classification.AutoSklearnClassifier() cls.fit(X_train, y_train) predictions = cls.predict(X_test)
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)
http://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf
Auto-Sklearn 2.0: The Next Generation
Authors: Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer and Frank Hutter
arXiv:2007.04074 [cs.LG], 2020
https://arxiv.org/abs/2007.04074
Status for master branch
Status for development branch
