2019-01-24

parsnip: A tidy model interface

Name: parsnip: A tidy model interface
Uploaded: 2019-01-24
Description: parsnip is a new tidymodels package that generalizes model interfaces across packages. The idea is to have a single function interface for types of specific models (e.g. logistic regression) that...

parsnip is a new tidymodels package that generalizes model interfaces across packages. The idea is to have a single function interface for types of specific models (e.g. logistic regression) that lets the user choose the computational engine for training. For example, logistic regression could be fit with several R packages, Spark, Stan, and Tensorflow. parsnip also standardizes the return objects and sets up some new features for some upcoming packages.

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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.