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MLJ v0.22.0

Diff since v0.21.0

  • (mildly breaking) The behaviour of levels and unique on CategoricalArrays has changed. (Such arrays are created in MLJ, for example, by coerce(array, Multiclass) or coerce(array, OrderedFactor). ) The levels and unique methods now return a CategoricalVector whereas previously they returned a vector of "raw" values. So, running levels(array) previously is equivalent to now running CategoricalArrays.unwrap.(levels(array)). The new behaviour is the result of breaking changes in CategoricalArrays.jl, on which MLJ.jl depends (#1172)

Merged pull requests: - Bump actions/checkout from 4 to 5 (#1175) (@dependabot[bot]) - Regenerate documentation. No new release. (#1182) (@ablaom) - Regenerate dev docs (#1183) (@ablaom) - Restore some integration tests for BetaML. (#1184) (@ablaom) - Bump CategoricalArrays, etc and major testing change 😱 (#1185) (@ablaom) - For a 0.22 release (#1186) (@ablaom)

Closed issues: - Reinstate CatBoost integraton test (#1092) - Re-instate integration tests for scikit-learn models (#1119) - Reinistate integration tests for SymbolicRegression? (#1152) - Reinstate Outlier detection model s (#1153) - Error when loading ContinuousEncoder (#1181)

Source: README.md, updated 2025-11-20