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