v1.2.0
v1.2.0 of sl3
represents a set of major updates to the core software. An inexhaustive list of the included changes include
- default metalearners based on task outcome types
- handling of imputation internally in task objects
- addition of new learners, including from the
gbm
,earth
,polspline
packages - fixing errors in existing learners (e.g., subtle parallelization in
xgboost
andranger
) - support for multivariate outcomes and (default) revere-style cross-validation
- support for cross-validated super learner and variable importance