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Package: tidyfit | ||
Type: Package | ||
Title: Regularized Linear Modeling with Tidy Data | ||
Version: 0.1.0 | ||
Date: 2022-08-20 | ||
Version: 0.2.0 | ||
Author: Johann Pfitzinger [aut, cre] | ||
Maintainer: Johann Pfitzinger <[email protected]> | ||
Description: An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data. | ||
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rmarkdown, | ||
yardstick | ||
Roxygen: list(markdown=TRUE) | ||
VignetteBuilder: knitr | ||
VignetteBuilder: rmarkdown |
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## tidyfit 0.1.0 | ||
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- Note that this starts from version `tidyfit 0.1.0`. | ||
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## tidyfit 0.2.0 | ||
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- The release adds multinomial classification to the package: | ||
- Automatic detect classes, check if method can handle multinomial classification and fit appropriately | ||
- Coefficients returned for each class | ||
- Prediction and cross validation handle multi-class results | ||
- More efficient and flexible handling of prediction and performance evaluation for cross validation |