Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

Abstract

Many different machine learning algorithms exist; taking into account each algorithm's hyperparameters, there is a staggeringly large number of possible alternatives overall. We consider the problem of simultaneously selecting a learning algorithm and setting its hyperparameters, going beyond previous work that attacks these issues separately. We show that… (More)
DOI: 10.1145/2487575.2487629
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@inproceedings{Thornton2013AutoWEKACS, title={Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms}, author={Chris Thornton and Frank Hutter and Holger H. Hoos and Kevin Leyton-Brown}, booktitle={KDD}, year={2013} }