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# mlr 2.14.0.9000
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## Breaking
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- Instead of a wide `data.frame` filter values are now returned in a long (tidy) `tibble`. This makes it easier to apply post-processing methods (like `group_by()`, etc) (@pat-s, #2456)
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## learners - general
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-`classif.liquidSVM` and `regr.liquidSVM` have been removed because `liquidSVM` has been removed from CRAN.
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## filters - general
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- Filter `praznik_mrmr` also supports `regr` and `surv` tasks
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-`getFilterValuesData()` now returns a `tbl` instead of a `data.frame`. (@pat-s, #2456)
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-`plotFilterValues()` got a bit "smarter" and easier now regarding the ordering of multiple facets. (@pat-s, #2456)
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-`filterFeatures()`, `generateFilterValuesData()` and `makeFilterWrapper()` gained new examples. (@pat-s, #2456)
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## filters - new
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- Ensemble features are now supported. These filters combine multiple single filters to create a final ranking based on certain statistical operations. All new filters are listed in a dedicated section "ensemble filters" in the [tutorial](https://mlr.mlr-org.com/articles/tutorial/filter_methods.html).
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Tuning of simple features is not supported yet because of a [missing feature](https://github.com/berndbischl/ParamHelpers/pull/206) in _ParamHelpers_. (@pat-s, #2456)
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