NEWS
mlr3mbo 0.2.8 (2024-11-21)
- docs: gracefully exit examples of
OptimizerAsyncMbo
, OptimizerADBO
, TunerAsyncMbo
, and TunerADBO
if Redis is not available.
- test: skip tests involving asynchronous logic if Redis is not available.
mlr3mbo 0.2.7 (2024-11-15)
- refactor: refactored
SurrogateLearner
and SurrogateLearnerCollection
to allow updating on an asynchronous Archive
.
- feat: added experimental
OptimizerAsyncMbo
, OptimizerADBO
, TunerAsyncMbo
, and TunerADBO
that allow for asynchronous optimization.
- feat: added
AcqFunctionStochasticCB
and AcqFunctionStochasticEI
that are useful for asynchronous optimization.
- docs: minor changes to highlight differences between batch and asynchronous objects related to asynchronous support.
- refactor:
AcqFunction
s and AcqOptimizer
gained a reset()
method.
mlr3mbo 0.2.6 (2024-10-16)
- refactor: Extract internal tuned values in instance.
mlr3mbo 0.2.5 (2024-09-24)
- docs: Move vignette to mlr3book.
- feat: Add
AcqFunctionMulti
that can wrap multiple acquisition functions resulting in a multi-objective acquisition function problem.
- feat: Support callbacks in
AcqOptimizer
.
- feat: Allow
AcqFunctionEI
to be adjusted by epsilon to strengthen exploration.
mlr3mbo 0.2.4 (2024-07-06)
- fix: Improve runtime of
AcqOptimizer
by setting check_values = FALSE
.
mlr3mbo 0.2.3 (2024-07-01)
- compatibility: Work with new bbotk and mlr3tuning version 1.0.0.
mlr3mbo 0.2.2 (2024-03-01)
- 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 (2023-06-05)
- 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 (2023-03-02)
- 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 (2022-11-18)