v0.11.0

DecisionTree v0.11.0

Diff since v0.10.13

• Bump minimum Julia version to 1.6.
• (enhancement) Add methods impurity_importance, split_importance and permutation_importance for all models (#182) @yufongpeng
• (breaking) Use the SAMME algorithm for calculating AdaBoostStumpClassifier coefficients (#167) @yufongpeng
• (breaking) Do not export the functions R2, mean_sqaure_error, majority_vote, confusion_matrix and ConfusionMatrix (#183)
• Add accuracy to built-in measures but do not export.

Closed issues:

• [Feature Request] Add a Field for Feature Importance (#170)
• Remove the Int as rng functionality (#177)
• Stop exporting metrics? (#181)

Merged pull requests:

• Adabooststump algorithm change (#167) (@yufongpeng)
• Bump compat julia="1.6", AbstractArrays="0.3,0.4"; adjust CI (#179) (@ablaom)
• Feature importance (#182) (@yufongpeng)
• Stop exporting measures (#183) (@ablaom)
• For a 0.11 release (#184) (@ablaom)