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Applied Predictive Modeling Applied Predictive Modeling

  • Applied Predictive Modeling
  • Table of Contents
  • Data
  • Figures
  • Computing
  • Errata
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  • About
  • Links
  • Training
recipes_rsample.png

Lots of Package News

recipes_rsample.png

I've sent a slew of packages to CRAN recently (thanks to Swetlana and Uwe). There are updates to:

  • caret was primarily updated to deal with an issue introduced in the last version. It is a good idea to avoid fully loading the underlying modeling packages to avoid name conflicts. We made that change in the last version and it ended up being more complex than thought. A quirk in the regression tests missed it too but the whole thing can be avoided by loading the modeling package. news file

  • rsample had some modest additions including bridges to caret and recipes. The website added more application examples (times series and survival analysis). news file

  • recipes had more substantial enhancments including six new steps, a better interface for creating interactions (using selectors), and the ability to save the processed data in a sparse format. news file

  • Cubist and C50 have been updated and brought into the age of roxygen and pkgdown. C5.0 now has a nice plot method a la partykit and now has a vignette. I'll be adding a few features to each over time.

Two new packages:

  • yardstick contains many of the performance measurement methods in caret but in a format that is easier to use with dplyr syntax and functional programming.

  • tidyposterior is a Bayesian version of caret's resamples function. It can be used to take the resampling results from multiple models and do more formal statistical comparisons. It is similar in spirit to Benavoli et al (2017). We are looking for nominations for the hex logo so please offer your suggestions (but keep it clean).

Tagged with R, caret, recipes, C5.0, Cubist, Bayesian Models.

December 11, 2017 by Max Kuhn.
  • December 11, 2017
  • Max Kuhn
  • R
  • caret
  • recipes
  • C5.0
  • Cubist
  • Bayesian Models
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Applied Predictive Modeling Applied Predictive Modeling

Applied Predictive Modeling is a book on the practice of modeling when accuracy is the primary goal.

  • Applied Predictive Modeling
  • Table of Contents
  • Data
  • Figures
  • Computing
  • Errata
  • Blog
  • About
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  • Training
Applied Predictive Modeling
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By Max Kuhn, Kjell Johnson
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