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auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn 2.0 works the same way as regular auto-sklearn. auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license.
Features
- Supports practitioners and researchers with the tedious task of designing machine learning pipelines
- Enables AutoML systems to work well on large datasets under rigid time limits
- PoSH Auto-sklearn introduces even more ways of running AutoML
- auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning
- auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license
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