Releases: JuliaStats/GLMNet.jl
Releases · JuliaStats/GLMNet.jl
v0.7.2
v0.7.1
v0.7.0
GLMNet v0.7.0
Merged pull requests:
- Save losses from each fold in the final CV path (#61) (@JackDunnNZ)
v0.6.3
GLMNet v0.6.3
Merged pull requests:
- CompatHelper: bump compat for "Distributions" to "0.25" (#60) (@github-actions[bot])
v0.6.2
GLMNet v0.6.2
Closed issues:
- Incorrect
null_dev
s (#39)
Merged pull requests:
- Fix null deviance and use
Ref
instead ofPtr
(#57) (@devmotion) - CompatHelper: bump compat for "DataFrames" to "1.0" (#59) (@github-actions[bot])
v0.6.1
GLMNet v0.6.1
Closed issues:
- MethodError: glmnet(::Array{Float64,2}, ::Array{Int64,1}) is ambiguous (#55)
- glmnetcv(X, y) in quickstart gives error (#56)
Merged pull requests:
- Merge glmnetcv from Cox into main function (#54) (@JackDunnNZ)
v0.6.0
GLMNet v0.6.0
Add support for multinomial and cox models
Closed issues:
- Allow for sparse predictor matrix (#9)
- possible undefined variable in jerr warning? (#11)
- How to use Multinomial family (#21)
- Constraints dimensions on README (#28)
- how to specify family (#34)
Merged pull requests:
- Fix inconsistency in constraints dimensions (#37) (@raphaelsaavedra)
- Multinomial and Cox redux; also fixing showarray error (#50) (@dsweber2)
- Fix undefined variable (#51) (@JackDunnNZ)
- Migrate CI to github actions (#52) (@JackDunnNZ)
v0.5.2
GLMNet v0.5.2
Merged pull requests:
- CompatHelper: bump compat for "Distributions" to "0.24" (#48) (@github-actions[bot])
- Allow passing
rng
to CV fold construction (#49) (@JackDunnNZ)
v0.5.1
GLMNet v0.5.1
Merged pull requests:
- fix problem with cv where different number of lambdas converge when g… (#18) (@dsweber2)
- Install TagBot as a GitHub Action (#40) (@JuliaTagBot)
- Add new versions to compat (#45) (@JackDunnNZ)
v0.5.0
v0.5.0 (2020-02-28)
Merged pull requests:
- Add compat (#43) (JackDunnNZ)
- Use glmnet_jll instead of BinaryProvider (#41) (JackDunnNZ)
- Update warnings to use
@warn
(#38) (JackDunnNZ)