We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
SL.rpartPrune - integrate with SL.rpart to reduce code duplication
todo: adaptive lasso
revere SL: save training split-specific model fits & skip refitting to full data; hyperband for hyperparam opt
extra-trees is done
todo: data pre-processing step prior to feature selection
Apply multiple screeners in a sequence
extraTrees PR submitted
Option to remove overfitting learners
Expand overfitting todos
support OpenML
Updated Chris's wishlist (markdown)
todo: parallel prediction
more todos
screener bug
Rcpp for screen.corP/screen.corRank
AutoML and bayesian optimization
dbarts is done
PR submitted for dbarts
Add keras and mxnet todos; dbarts is in progress
todo: lightgbm
Fixed xgboost.model
Add MlBayesOpt to-do
Add dbarts to wrapper list
lda and qda are in; add reinforcement learning trees
Extremely randomized trees
PR submitted for LDA and QDA