v0.3.0

MLJDecisionTreeInterface v0.3.0

Diff since v0.2.5

• (breaking) Require DecisionTree.jl 0.12.0. This means seeding of individual RNGs in a random forest has changes, which in turn changes the outcomes of training for both random forest models (JuliaAI/DecisionTree.jl#198)
• (breaking) Reverse the role of key and value in the encoding dictionary returned as part of fitted parameters in a DecisionTreeClassifier (#37)

Closed issues:

• Reverse roles of key and value in encoding returned in fitted params (#19)
• DecisionTreeRegressor and DecisionTreeClassifier do not allow n_subfeatures=-1. (#33)

Merged pull requests:

• update docs per #33 (#34) (@john-waczak)
• Bump DecisionTree.jl to 0.12 (#35) (@rikhuijzer)
• For a 0.3.0 release (#36) (@ablaom)
• Reverse roles keys <--> values in encoding for classifier (#37) (@ablaom)
• For a 0.3.0 release - Take 2 (#38) (@ablaom)