mlr3mbo 0.2.2
- refactor: compatibility with upcoming paradox upgrade.
- feat:
OptimizerMbo
and TunerMbo
now update the Surrogate
a final time after the optimization process finished to ensure that the Surrogate
correctly reflects the state of being trained on all data seen during optimization.
- fix:
AcqFunction
domain construction now respects Surrogate
cols_x field.
- feat: support more than one candidate point as a result of acquisition function optimization even for non-batch acquisition functions.
- feat: added
default_gp
and default_rf
helpers that allow for construction of a default Gaussian Process and random forest as for example used within default_surrogate
.
- refactor: changed Gaussian Process and random forest defaults (in
default_gp
and default_rf
and therefore also in default_surrogate
). Gaussian Process now uses a "matern5_2"
kernel. Random forest now uses 100 trees. The number of trees used in the fallback random forest was reduced to 10.
mlr3mbo 0.2.1
- docs: updated some references in vignette.
- refactor: minor clean up of the internal structure of all loop functions.
- perf: default initial design constructed based on a Sobol sequence in all loop functions.
- refactor: no longer depend on
mlr3tuning
but import instead.
- refactor:
srlrn
sugar function now can construct both a SurrogateLearner
and SurrogateLearnerCollection
; dropped srlrnc
.
- feat: added
AcqFunctionSD
, AcqFunctionEHVI
and AcqFunctionEHVIGH
, introduced bayesopt_emo
loop function.
- feat:
AcqFunction
s now include a $packages
field stating required packages which are checked for whether their namespace can be loaded prior to optimization.
- fix: fixed bug in
fix_xdt_missing()
helper function.
- BREAKING CHANGE: renaming
default_loopfun
-> default_loop_function
, default_acqfun
-> default_acqfunction
, default_acqopt
-> default_acqoptimizer
.
- BREAKING CHANGE:
result_function
s now replaced by ResultAssigner
s.
- BREAKING CHANGE: renamed
$model
field of all Surrogate
classes to $learner
.
- BREAKING CHANGE: For all
Surrogate
and AcquisitionFunction
classes fields *_cols
renamed to cols_*
(e.g., x_cols
to cols_x
).
mlr3mbo 0.1.2
- refactor: adapt to mlr3tuning 0.18.0.
- feat: Acquisition functions now assert whether surrogates match their required predict type.
- fix: Unloading
mlr3mbo
removes optimizers and tuners from the dictionaries.
- docs: faster examples.
- feat: characters in surrogate regression tasks are no longer automatically converted to factors.
default_surrogate
now respects this and gained an appropriate pipeline step.
- feat:
AcqFunctionAEI
added.
- docs: fix of docs, README and bibentries.
mlr3mbo 0.1.1