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jpfitzinger committed Aug 20, 2022
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5 changes: 3 additions & 2 deletions DESCRIPTION
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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
11 changes: 11 additions & 0 deletions NEWS.md
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## tidyfit 0.1.0

- Note that this starts from version `tidyfit 0.1.0`.

## tidyfit 0.2.0

- 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

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