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mlr3verse 0.4.0

• feat: add mlr3forecast and mlr3extralearners as suggested packages.
• feat: add mlr3torch package and reexport its sugar functions, such as nn(), t_opt(), t_loss(), and t_clbk().
• docs: refine README, fix ecosystem image link

mlr3verse 0.3.2

• Compatibility: Removed reexport of greplicate() which was removed from mlr3pipelines. Use ppl("greplicate") instead.

mlr3verse 0.3.1

• feat: add mlr3inferr package.

mlr3verse 0.3.0

• BREAKING CHANGE: Various classes are removed and replaced with their sugar.
• Compatibility: Work with new mlr3tuning and mlr3fselect 1.0.0.
• Update package versions to latest CRAN versions.
• Added not yet included mlr3 packages to suggests and include them in mlr3verse_info()

mlr3verse 0.2.8

• Updated reexports.

mlr3verse 0.2.7

• Updated reexports.

mlr3verse 0.2.6

• Updated reexports.

mlr3verse 0.2.5

• Removed mlr3proba (currently not maintained on CRAN).

mlr3verse 0.2.4

• Updated reexports.

mlr3verse 0.2.3

• Updated reexports.

mlr3verse 0.2.2

• Updated reexports.

mlr3verse 0.2.1

• Updated reexports.

mlr3verse 0.2.0

• Instead of depending on mlr3 packages, all packages are now imported. All functions and objects required to do data analysis are re-exported, while functions and objects required to extend the packages are not exported. This change aims to provide a thin view on the most important functions of the mlr3 ecosystem and thereby aid beginners to get started.
• If the mlr3extralearners (https://github.com/mlr-org/mlr3extralearners) package is installed, it will automatically be loaded and learner dictionary will automatically get populated.

mlr3verse 0.1.3

• Maintenance release.

mlr3verse 0.1.2

• Add mlr3data (#3)

mlr3verse 0.1.1

• add mlr3viz to core package stack

mlr3verse 0.1.0

Initial CRAN release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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