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https://github.com/r-lib/pak/blob/d791187ade9d9c2eb2f47adb685a37b5b6e3fe3e/R/package.R#L211
There might be a reason for this, but was expecting something like `pkg_deps(c("tidyverse", "tidymodels")…
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Could you please add the following R packages:
- tidymodels
- discrim
- rpart
- klaR
These would make it possible to build interactive tutorials on machine learning in R.
Thank you!
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There is an issue I'm facing with SHAPforxgboost and found a post with identical problem in rstudio community.
Perhaps you could take a look? https://community.rstudio.com/t/shap-values-with-tidymode…
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**Describe the bug**
I wasn't sure whether to post this here or in the 'tidymodels' repo, but using future.callr does not seem to work in conjunction with tune::tune_grid(). I've been using future.ca…
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It would be great when methods for making models and predictions better explainable would be made available through tidymodels and could be added to a workflow, for example like the ones in the `DALEX…
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We currently use this function to control the tidymodels output width:
```
print_tidymodels
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I'm debating on where to include supervised feature selection inside of tidymodels. _Should they be inside of recipes_? I'll brainstorm out loud here; pardon my unsolicited ramblings.
pro-recipes …
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- [ ] tidymodels/parsnip#106
- [ ] tidymodels/parsnip#107
- [ ] tidymodels/parsnip#108
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need to add some parallel tests
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