Releases: JuliaAI/MLJBase.jl
Releases · JuliaAI/MLJBase.jl
v1.10.0
MLJBase v1.10.0
- Add support for CategoricalArrays 1.0 and CategoricalDistributions 0.2. This changes the behaviour of the re-exported methods
levelsandunique, as applied toCategoricalArrayandUnivariateFinite. Whereas previously these returned a vector of "raw" values, they now return aCategoricalVector. See these CategoricalArrays.jl release notes.
Merged pull requests:
v1.9.2
v1.9.1
v1.9.0
MLJBase v1.9.0
For the release notes:
- Allow tuples, in addition to vectors, when specifying
resampling=...inevaluate/evaluate!, and fix a mistake in the error message for invalidresamplingvalues (#1010)
Merged pull requests:
v1.8.2
v1.8.1
MLJBase v1.8.1
Merged pull requests:
- Fix deprecated
Varargexpression (#1000) (@devmotion) - For a 1.8.1 release (#1001) (@ablaom)
v1.8.0
MLJBase v1.8.0
- Drop support for Julia versions < 1.10.
Merged pull requests:
- Allow
selectcolsto have tuples as "indices" argument (#992) (@ablaom) - Update some compats and dump Julia 1.6 support in favor of new LTS release (#997) (@ablaom)
- For a 1.7.1 (#998) (@ablaom)
- Bump 0.8.0 (#999) (@ablaom)
Closed issues:
v1.7.0
v1.6.0
MLJBase v1.6.0
- (enhancment) Arrange that pipelines support transformers that need a target variable for training (#984)
Merged pull requests: