mlrMBO 1.1.5
- Documentation fixes
- Bugfix: Fix CRAN warnings.
mlrMBO 1.1.4
- plot.OptState()now supports multiple categorical
variables.
- crit.aeiworks with wrapped learners.
- Documentation fixes
- mbo()can be called without control object.
- Bugfix: MOIMBO works with integers
mlrMBO 1.1.3
- Bugfix: plot(opt.state)now also works for Param Sets
with transformations.
- Bugfix: Infill optimization with CMAES now supports restarts.
mlrMBO 1.1.2
- Adaptive infill criterions. Infill criterions now have to support an
progressargument. Termination criterions now can supply aprogressreturn value.
- Fix for parEGO + EI (Issue #407)
- save.on.disknow can take arbitrary numeric vectors to
specify iterations, when to save on disk.
- Spelling mistakes for infill criterions will now be cought. (Issue
#417)
mlrMBO 1.1.1
- makeMBOControl()has- on.surrogate.errorargument which enables random proposals if the surrogate model
fails.
- With initSMBO(),updateSMBO()andfinalizeSMBO()it is now possible to do a human-in-the-loop
MBO.
- The result now contains the final.opt.state.
- Plot method for OptStateobjects.
mlrMBO 1.1.0
- Fixed bug in focus search that affected discrete search spaces.
- Numerics will be auto converted to integers where integers are
expected.
- Package can now be cited with citation("mlrMBO").
mlrMBO 1.0.0