Auto-WEKA is a Java-written machine learning automation tool that performs combined algorithm selection and hyperparameter optimization over the classification and regression algorithm implementations in WEKA, an open-source software package including a comprehensive collection of machine learning models. It applies techniques including meta-learning and Bayesian optimization to explore optimal hyperparameters. With the automated process, Auto-WEKA provides time-saving model selection.
Link: https://www.cs.ubc.ca/labs/algorithms/Projects/autoweka/#
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