Abstract
In the previous chapter, you learned what hyperparameters are and how they affect the performance of an algorithm. Now that you know how important it is to tune hyperparameters, this chapter introduces you to some simple yet powerful uses of algorithms implemented in the scikit-learn library for hyperparameter optimization. Scikit-learn is one of the most widely used open source libraries for machine learning practices. It’s simple to use and really effective in predictive analysis.
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© 2021 Tanmay Agrawal
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Agrawal, T. (2021). Hyperparameter Optimization Using Scikit-Learn. In: Hyperparameter Optimization in Machine Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6579-6_2
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DOI: https://doi.org/10.1007/978-1-4842-6579-6_2
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6578-9
Online ISBN: 978-1-4842-6579-6
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