potential outline for tidymodels/principles
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danger-zone.Rmd
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data.Rmd
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functional-programming-principles.Rmd
getting-started-checklist.Rmd
index.Rmd
interactive-modelling.Rmd
interface.Rmd
low-and-high-level-interfaces.Rmd
model-objects.Rmd
naming-things.Rmd
packages.bib
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programmatic-modelling.Rmd
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testing.Rmd
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README.md

principles

I didn't have enough patience to wait for Max to make a tidymodels/principles repo, so I made this outline and filled in the smattering of notes I have.

Things I think we need to understand and treat as separate throughout:

  • programmatic versus interactive modelling
  • end goal of inference versus end goal of prediction
  • a single fit versus a set of fits

Other things to do:

  • decide on some canonical modelling examples. proposals:
    • LASSO for a model specification with structure hyperparameter space
    • random forest for a model specification with unstructured hyperparameter space

Another potential topic: wrapping and working with existing modelling packages