HyperOpt: Bayesian Hyperparameter Optimization
( go to the article → https://blog.dominodatalab.com/hyperopt-bayesian-hyperparameter-optimization/ )
This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. There is a complementary Domino project available. Introduction Feature engineering and hyperparameter optimization are two important model building steps. Over the years, I have debated with many colleagues as to which step has more […]
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