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add new BetaML models to the list in the manual
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ablaom committed Aug 22, 2022
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Expand Up @@ -27,7 +27,7 @@ independent assessment.

| Package | Models | Maturity | Note
| ------- | ------ | -------- | ----
[BetaML.jl](https://github.com/sylvaticus/BetaML.jl) | DecisionTreeClassifier, DecisionTreeRegressor, GMMClusterer, KMeans, KMedoids, KernelPerceptronClassifier, MissingImputator, PegasosClassifier, PerceptronClassifier, RandomForestClassifier, RandomForestRegressor | medium |
[BetaML.jl](https://github.com/sylvaticus/BetaML.jl) | BetaMLGMMImputer, BetaMLGMMRegressor, BetaMLGenericImputer, BetaMLMeanImputer, BetaMLRFImputer, DecisionTreeClassifier, DecisionTreeRegressor, GMMClusterer, KMeans, KMedoids, KernelPerceptronClassifier, MissingImputator, PegasosClassifier, PerceptronClassifier, RandomForestClassifier, RandomForestRegressor | medium |
[Clustering.jl](https://github.com/JuliaStats/Clustering.jl) | KMeans, KMedoids | high | †
[DecisionTree.jl](https://github.com/bensadeghi/DecisionTree.jl) | DecisionTreeClassifier, DecisionTreeRegressor, AdaBoostStumpClassifier, RandomForestClassifier, RandomForestRegressor | high |
[EvoTrees.jl](https://github.com/Evovest/EvoTrees.jl) | EvoTreeRegressor, EvoTreeClassifier, EvoTreeCount, EvoTreeGaussian | medium | gradient boosting models
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