Releases: JuliaAI/MLJEnsembles.jl
Releases · JuliaAI/MLJEnsembles.jl
Release list
v0.4.5
v0.4.4
MLJEnsembles v0.4.4
- Update compatibility requirements: CategoricalArrays="1", CategoricalDistributions="0.2"
Merged pull requests:
v0.4.3
v0.4.2
MLJEnsembles v0.4.2
Merged pull requests:
v0.4.1
v0.4.0
MLJEnsembles v0.4.0
- (breaking) Remove MLJBase as dependency, replacing it with StatisticalMeasuresBase.jl. Adapt code appropriately to the new measures API. To use MLJEnsembles.jl without MLJBase.jl, one may need to explicitly import StatisticalMeasures.jl. See also the MLJBase 1.0 migration guide for further details (#30).
Merged pull requests:
v0.3.3
v0.3.2
MLJEnsembles v0.3.2
Merged pull requests:
v0.3.1
MLJEnsembles v0.3.1
Merged pull requests:
v0.3.0
MLJEnsembles v0.3.0
- (enhancement, breaking) Adapt to MLJBase 0.20, and in particular the new serialization API, which allows serialisation of
EnsembleModel(model=...)wheremodelis not necessarily a pure-Julia model (#15) @olivierlabayle - (bug fix) Enable safe wrapping of atomic models that implement a data front-end (#17) @OkonSamuel
Closed issues:
- Ensembling fails for atomic models implementing the
reformat/selectrowsinterface for caching model specific data representations (#16)
Merged pull requests:
- add serialization of ensembles (#15) (@olivierlabayle)
- fix data front-end bug #16 (#17) (@OkonSamuel)
- For a 0.3.0 release (#18) (@ablaom)