on?

--

`glmnet` for regularized regression

`stan` for Bayesian regression

`keras` for regression using tensorflow

`spark` for large data sets

...

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# How would we do this with parsnip?

&lt;img src="https://raw.githubusercontent.com/rstudio/hex-stickers/master/PNG/parsnip.png" width="20%" /&gt;

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# .center[To specify a model with parsnip]

.right-column[

1\. Pick a .display[model]

2\. Set the .display[engine]

3\. Set the .display[mode] (