Releases: JuliaAI/StatisticalMeasures.jl
Releases · JuliaAI/StatisticalMeasures.jl
v0.3.4
StatisticalMeasures v0.3.4
Merged pull requests:
- add continuous boyce index (#52) (@tiemvanderdeure)
- Bump actions/checkout from 4 to 6 (#65) (@dependabot[bot])
- For a 0.3.4 release (#66) (@ablaom)
Closed issues:
- continuous boyce index (#51)
v0.3.3
StatisticalMeasures v0.3.3
Merged pull requests:
- Fix reference to old code (#59) (@ablaom)
- Fix and properly test case of empty
yhatincheck_l2(#60) (@ablaom) - For a 0.3.3 release (#61) (@ablaom)
Closed issues:
- cross_entropy leads to ERROR: UndefVarError:
isinvalidnot defined inStatisticalMeasuresBase(#58)
v0.3.2
v0.3.1
v0.3.0
StatisticalMeasures v0.3.0
- Bump the CategoricalArrays requirement to 1.0
- (mildly breaking) Arrange that StatisticalMeasures' overloading of the
CategoricalArrays.levelsfunction to confusion matrices mimics the new behavior: it returns aCategoricalVector, not an unwrapped version of the same.
Merged pull requests:
v0.2.1
v0.2.0
StatisticalMeasures v0.2.0
- (breaking) Bump the LearnAPI compatibility bound to "0.2", which requires all references to
LearnAPI.LiteralTargetto be replaced withLearnAPI.Point(#31) - Bump the julia compatibility bound to "1.10", the current Long Term Support version, which is necessary, because this is the lower bound for LearnAPI@0.2 (#31)
Merged pull requests:
v0.1.7
StatisticalMeasures v0.1.7
balanced_accuracycan now be called on a confusion matrix (#28)
Merged pull requests:
- Define balanced accuracy for confusion matrices (#28) (@tiemvanderdeure)
- For a 0.1.7 release (#29) (@ablaom)
v0.1.6
StatisticalMeasures v0.1.6
Merged pull requests:
v0.1.5
StatisticalMeasures v0.1.5
Merged pull requests:
- performance optimizations for Confusion Matrix (#21) (@tiemvanderdeure)
- Fix
can_report_unaggregatedtrait for LogScore and BrierScore (#22) (@ablaom) - For a 0.1.5 release (#23) (@ablaom)
Closed issues:
- Add probability of correct classification (PCC) as an alias for balanced_accuracy (#15)