7 Customizing the search method of AutoML
This chapter covers
- Understanding sequential search methods
- Customizing a random search method
- Vectorizing hyperparameters for the model-based search method
- Understanding and implementing a Bayesian optimization search method
- Understanding and implementing an evolutionary search method
In this chapter, we will explore how to customize a sequential search method to iteratively explore the hyperparameter search space and discover better hyperparameters. You will learn how to implement different sequential search methods for selecting pipelines from the search space in each trial. These search methods fall into the following two categories:
-
History-independent sequential search methods cannot be updated ...
Get Automated Machine Learning in Action now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
