Comments (3)
DavisVaughan
commented on June 25, 2024
Actually don't do this. To be consistent everywhere we'd have to make forge() do the same thing, but it is S3 on the preprocessor argument. This would mean we would need to do UseMethod("forge", "preprocessor") because it would then be the second arg. This wouldn't be the end of the world but it likely more confusing that it would need to be.
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DavisVaughan
commented on June 25, 2024
Hmm, maybe do this with scream() and shrink() because they return new_data back as the output, but don't do it with forge() because it returns a more complicated object back (not pipeable anyways).
Nah, better to be consistent throughout
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github-actions
commented on June 25, 2024
This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.
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Related Issues (20)
- forge fails with non-standard roles HOT 4
- Release hardhat 1.0.0 HOT 1
- Error in out$extras$final(predictors_extras, outcomes_extras): argument "outcomes_extras" is missing, with no default HOT 15
- Release hardhat 1.1.0 HOT 2
- get_outcome_levels blueprint method? HOT 5
- Post recipes 1.0.0 upkeep HOT 1
- Release hardhat 1.2.0 HOT 1
- Pass through strings_as_factors arg HOT 3
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- Problem with a formula with spaces in the name of a factor and indicators = "none" HOT 2
- `mold()` inconsistently preserves (with XY method) or ignores (with formula method) non-base vector classes HOT 2
- Do a pass over `validate_is()` with an eye towards performance HOT 1
- Avoid `as_tibble()` where possible HOT 2
- multi-outcomes support for `spruce_prob_multi` shall clarify input format for multiple `pred_levels` HOT 2
- Upkeep for hardhat HOT 1
- Regression in development version of hardhat when using sf objects HOT 3
- Release hardhat 1.3.0 HOT 1
- Dynamically calculate weights HOT 5
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