2020-02-12
Total Tidy Tuning Techniques
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Many models have structural parameters that cannot be directly estimated from the data. These tuning parameters can have a significant effect on model performance and require some mechanism for finding reasonable values. The tune and workflow packages enable tidymodels users to optimize these parameters using a variety of efficient grid search methods as well as with iterative search techniques (such as Bayesian optimization).
Speakers
Max Kuhn
Principal Software Engineer (tidymodels) at Posit PBC
Max Kuhn works at Posit PBC, developing software for data analysis and modeling. He previously worked in pharmaceutical and molecular diagnostic research for more than 18 years. Max’s interests are in predictive modeling and machine learning, and he is the author of numerous R packages. He and Kjell Johnson published the bestselling book Applied Predictive Modeling in 2013. Max holds a B.S. in Mathematics and a Ph.D. in Biostatistics.