mlr3learners 0.1.5

• Added parameter and parameter dependencies to regr.glmnet, regr.km, regr.ranger, regr.svm, regr.xgboost, classif.glmnet, classif.lda, classif.naivebayes, classif.qda, classif.ranger and classif.svm.
• glmnet: Added relax parameter (v3.0)
• xgboost: Updated parameters for v0.90.0.2

mlr3learners 0.1.4

• Fixed a bug in *.xgboost and *.svm which was triggered if columns were reordered between $train() and $predict().

mlr3learners 0.1.3

• Changes to work with new mlr3::Learner API.

• Improved documentation.

• Added references.

• add new parameters of xgboost version 0.90.2

• add parameter dependencies for xgboost

mlr3learners 0.1.2

• Maintenance release.

mlr3learners 0.1.1

• Initial upload to CRAN.