parsnip: a tidy interface for models By Max Kuhn Abstract: The tidyverse has mostly been about data ingestion, manipulation, and visualization. The tidymodels packages are designed to bring modern interfaces to modeling. parsnip is a package that can be used to create models in R that can generalize to different computations engines (e.g., R, python, tensorflow, spark, etc.) using a common syntax. Bio: Max Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities. He was a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. Max is the author of eight R packages for techniques in machine learning and reproducible research and is an Associate Editor for the Journal of Statistical Software. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. He has taught many courses on modeling, including many classes for Predictive Analytics World, useR!, the Open Data Science Conference, the India Ministry of Information Technology, and others. Twitter: @topepos Presented at the 2019 New York R Conference (May 11th, 2019)