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With `glmnet` (and maybe `mboost`) we can get predictions one many values of some tuning parameters without multiple model fits. `parsnip` saves those as nested tibbles per row of `new_data`.
This…
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### Description
I wanted to train a BART model but it is not in the DictionaryLearner.
> lrn()
with 103 stored values
Keys: classif.abess, classif.AdaBoostM1, classif.bart, classif.C50, classif…
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Hi,
first of all, thank you for the amazing package and all of your hard work!
I have some questions related to `distrcompositor` and its usage. In case this would be a better fit for cross vali…
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encodings -> parsnip encodings, set by `parsnip::set_encodings()`
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The following models return a numeric prediction for a row of `new_data` where the _single_ predictor is `NA`. Document why that is the case in the engine docs.
- `boost_tree(engine = "mboost")`
…
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Patterns like this
https://github.com/tidymodels/censored/blob/f7309a5805f66d892ac33ee7758b4f25ff7f568b/R/decision_tree-data.R#L71-L74
necessitate this in parsnip:
https://github.com/tidymodels/p…
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The error below was thrown while running vignettes introduction.Rmd and prospective_use.Rmd that came with the package:
Error in g$grobs[[grob_index]] library(familiar)
Registered S3 method overw…
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HI,
I was testing the CaretEnsemble package that you built and faced an error that is really strange when making prediction on a test sample using a greedy ensemble model :
**The error:** Error in m…
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The current engine implementation for `lightgbm` sends additional engine arguments to the function `lightgbm::lgb.train`. However, one of the dataset parameters is really a model option, `linear_tree`…
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```
- os: linux
r: oldrel
- os: linux
r: release
- os: linux
r: release
env:
- R_FUTURE_FORK_ENABLE=false
- os: linux
r: release
…