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v1.2.0

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@nhejazi nhejazi released this 21 Jun 00:59
· 885 commits to master since this release
9b4af5c

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 and ranger)
  • support for multivariate outcomes and (default) revere-style cross-validation
  • support for cross-validated super learner and variable importance