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Releases: JuliaAI/MLJScientificTypes.jl
Releases · JuliaAI/MLJScientificTypes.jl
v0.4.8
MLJScientificTypes v0.4.8
Closed issues:
- Make
scitype
efficient for views ofCategoricalArray
s (#78)
Merged pull requests:
- fix bug in schema method (#77) (@OkonSamuel)
- Make scitpye for categorical array views efficient (#80) (@ablaom)
v0.4.7
v0.4.6
v0.4.5
MLJScientificTypes v0.4.5
- extend compat for StatitisticalTraits to include version 1.0
Merged pull requests:
v0.4.4
v0.4.3
v0.4.2
MLJScientificTypes v0.4.2
Closed issues:
- Add an informative error when schema fails because Tables.schema is not i implemented (#47)
Merged pull requests:
- Move from Travis CI to GitHub Actions CI (#58) (@DilumAluthge)
- supress doc-generation in CI if base is not master (#59) (@ablaom)
- For a 0.4.2 release (#60) (@ablaom)
- Ensure adherence to Tables.jl API (#61) (@OkonSamuel)
- "Bump version to 0.4.2" (#63) (@ablaom)
v0.4.1
v0.4.0
MLJScientificTypes v0.4.0
This release is compatible with CategoricalArrays 0.9 and has the following new behaviour (necessary because of breaking changes there):
coerce(v, OrderedFactor)
andcoerce(v, OrderedFactor)
will first convert non-missing elements of an arrayv
into strings unless the eltype ofv
is a subtype ofUnion{AbstractString, Char, Number, Missing}
; for example, ifv = [:x, :y]
andvnew = coerce(v, Multiclass)
, thenvnew[1] == "x"
istrue
butvnew[1] == :x
isfalse
. Otherwise the behaviour is unaltered.
Merged pull requests: