mlrMBO 1.1.5
- Documentation fixes
- Bugfix: Fix CRAN warnings.
mlrMBO 1.1.4
plot.OptState() now supports multiple categorical
variables.crit.aei works 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
progress argument. Termination criterions now can supply a
progress return value.
- Fix for parEGO + EI (Issue #407)
save.on.disk now 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.error
argument which enables random proposals if the surrogate model
fails.- With
initSMBO(), updateSMBO() and
finalizeSMBO() it is now possible to do a human-in-the-loop
MBO.
- The result now contains the
final.opt.state.
- Plot method for
OptState objects.
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