v0.18.1

MLJModels v0.18.1

Diff since v0.18.0

Merged pull requests:

• Update registry 2025 09 24 (#595) (@ablaom)
• For a 0.18.1 release (#596) (@ablaom)

Closed issues:

• Add short docstrings (#49)
• Find a way to load metadata from init (#74)
• Adding MulticlassPerceptron model (#156)
• Reported issues with the registry procedure (#169)
• Cleanup - Consistent code style (#203)
• Add DecisionTrees from ScikitLearn (#254)
• Uniformize fields for GLM models ? (#277)
• Review of model registry (#321)
• Add more categorical feature encoders (#375)

v0.18.0

MLJModels v0.18.0

Diff since v0.17.9

• Remove the model registry tools rendered redundant by the external package MLJModelRegistryTools (#590)

• (breaking) Remove the following models now provided by MLJTransforms.jl instead: ContinuousEncoder, FillImputer, InteractionTransformer, OneHotEncoder, Standardizer, UnivariateBoxCoxTransformer, UnivariateDiscrcetizer, UnivariateFillImputer, UnivariateStandardizer, UnivariateTimeTypeToContinuous. (#592)

• (new models) Update the Model Registry to include the models provided by MLJTransforms, which includes the following completely new models: FrequencyEncoder, TargetEncoder, CardinalityReducer, OrdinalEncoder, MissingnessEncoder, ContrastEncoder (#592)

Merged pull requests:

• Update registry to include models from MLJTransforms.jl (#589) (@ablaom)
• Remove MLJ Model Registry tools (#590) (@ablaom)
• Complete migration of transformers out of this package (#592) (@ablaom)
• For a 0.18 release (#593) (@ablaom)

v0.17.9

MLJModels v0.17.9

Diff since v0.17.8

Merged pull requests:

• Update registry (#587) (@ablaom)
• For a 0.17.9 release (#588) (@ablaom)

Closed issues:

• Remove PartialLeastSquaresRegressor models from the MLJ Model Registry (#561)
• Update model registry with LightGBM v1.0.1 (#586)

v0.17.8

MLJModels v0.17.8

Diff since v0.17.7

Merged pull requests:

• Update registry 2025 02 25 (#583) (@ablaom)
• For a 0.17.8 release (#584) (@ablaom)

v0.17.7

MLJModels v0.17.7

Diff since v0.17.6

• (new models) Add MaxnetBinaryClassifier from Maxnet.jl
• (new models) Add = SRTestRegressor, MultitargetSRTestRegressor from SymbolicRegression.jl

Merged pull requests:

• Update the model registry (#581) (@ablaom)
• For a 0.17.7 release (#582) (@ablaom)

Closed issues:

• Non-Dummy variable codings in ContinuousEncoder (#534)
• Request to add LaplaceRedux.jl to the MLJ registry (#571)
• Add Maxnet.jl to the model registry (#572)

v0.17.6

MLJModels v0.17.6

Diff since v0.17.5

Merged pull requests:

• Update registry 2024 12 19 (#579) (@ablaom)
• For a 0.17.6 release (#580) (@ablaom)

v0.17.5

MLJModels v0.17.5

Diff since v0.17.4

• (new models) Add AffinityPropagation from Clustering.jl to the MLJ model registry
• (new models) Add LaplaceClassifier, LaplaceRegressor from LaplaceRedux.jl

Merged pull requests:

• Add affinity propagation (#574) (@Yuan-Ru-Lin)
• The issue with stdlib versions being fixed to 0.0.0 has been fixed in new versions of Julia (#576) (@DilumAluthge)
• Update registry: Add LaplaceRedux models (#577) (@ablaom)
• For a 0.17.5 release (#578) (@ablaom)

Closed issues:

• allow users to specify float types from OneHotEncoder and ContinuousEncoder (#565)
• poorly maintained code, (#573)

v0.17.4

MLJModels v0.17.4

Diff since v0.17.3

Merged pull requests:

• Update the mode registry (#569) (@ablaom)
• For a 0.17.4 release (#570) (@ablaom)

v0.17.3

MLJModels v0.17.3

Diff since v0.17.2

Merged pull requests:

• Update the Model Registry (#567) (@ablaom)
• For a 0.17.3 release (#568) (@ablaom)

v0.17.2

MLJModels v0.17.2

Diff since v0.17.1

Merged pull requests:

• Remove export FeatureSelector, as moved to FeatureSelection.jl (#563) (@ablaom)
• For a 0.17.2 release (#564) (@ablaom)

Closed issues:

• Add FeatureSelection.jl models to the Model Registry (#557)
• FeatureSelector is still exported (#562)