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Merge pull request #450 from tidymodels/rc-1-4-3
RC 1.4.3
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DESCRIPTION

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Package: dials
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Title: Tools for Creating Tuning Parameter Values
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Version: 1.4.2.9001
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Version: 1.4.3
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Authors@R: c(
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person("Max", "Kuhn", , "max@posit.co", role = "aut"),
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person("Hannah", "Frick", , "hannah@posit.co", role = c("aut", "cre")),

NEWS.md

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# dials (development version)
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# dials 1.4.3
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## New parameters
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* `ordinal_link()` and `odds_link()` are two new parameters for the new `ordinal_reg()` models in parsnip (@corybrunson, #435).
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* A bug was fixed where some space-filling designs did not respect the `original` argument (#409).
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* `num_estimators()`, `softmax_temperature()`, `balance_probabilities()`, `average_before_softmax()`, and `training_set_limit()` are new parameters for the `tab_pfn()` model in parsnip (#412).
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## Other changes
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* Parameters were added for the `tab_pfn` model: `num_estimators()`, `softmax_temperature()`, `balance_probabilities()`, `average_before_softmax()`, and `training_set_limit()`.
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* `grid_space_filling()` now also respects the `original` argument when pre-made designs are available (#409).
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* `parameters()` and the `grid_*()` functions give more information in the error message when non-parameter objects are passed in (#437, #438).
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* Improved several type-checking error messages to include the actual type of the input (#423).
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* `encode_unit()` now provides a helpful error when `x` is not a parameter object (#430).
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* `value_validate()`, `value_transform()`, `value_inverse()`, and `value_set()` now produce more informative error messages when values contain unknowns (#445).
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* `value_validate()`, `encode_unit()`, `get_p()`, `get_log_p()`, `get_n()`, `get_n_frac()`, `get_n_frac_range()`, and `get_batch_sizes()` now enforce empty dots (#439).
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* Several further type-checking error messages now include the actual type of the input (#423).
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# dials 1.4.2
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vignettes/dials.Rmd

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* Create an easy to use framework for describing and querying tuning parameters. This can include getting sequences or random tuning values, validating current values, transforming parameters, and other tasks.
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* Standardize the names of different parameters. Different packages in R use different argument names for the same quantities. `dials` proposes some standardized names so that the user doesn't need to memorize the syntactical minutiae of every package.
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* Work with the other [tidymodels](https://www.tidymodels.org) packages for modeling and machine learning using [tidyverse](https://www.tidyverse.org/) principles.
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* Work with the other [tidymodels](https://www.tidymodels.org) packages for modeling and machine learning using [tidyverse](https://tidyverse.org/) principles.
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## Parameter Objects

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