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Code and Resources for "Applied Machine Learning"

Home Page: http://rstudio-conf-2020.github.io/applied-ml

License: Creative Commons Attribution Share Alike 4.0 International

R 5.90% HTML 46.93% CSS 4.28% JavaScript 42.89%

tidymodels machine-learning regression classification text-analysis

applied-ml's Issues

Text off bottom of slides

These slides have problematic text running off the bottom of the slide...

P5: While We Wait, Can I Interest You in Parallelism?
P5: Running in Parallel with {tune}
P5: MARS in via {parsnip} and {tune}
P5: Example of Logging
P6: Class Prediction Metrics
- Column 2
P6: Changing the Probability Threshold
- Column 1
P6: Feature hashing
- Column 2
P6: Growing phase
- Image labels are below slide line

use crossplatform parallel backend in code.R

Some participants on windows machines seemed to be confused by the {doMC} based parallel computing in code.R.
Might be nice to have a crossplatform backend in code.R to avoid that source of confusion, though that would depend on tidymodels/tune#157.
Don't know enough about the internals of tune or parallel on windows, so I can't solve this myself 😞.

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