mlr3mbo 0.3.3
- compatibility: bbotk 1.7.0
mlr3mbo 0.3.2
- compatibility: mlr3learners 0.13.0
mlr3mbo 0.3.1
- chore: maintainer change.
- chore: work with new mlr3pipelines version 0.9.0 (fix for tests
only).
- test:
expect_rush_reset changes related to rush
developments.
- fix: allow
InputTrafoUnitcube to work in mixed
spaces.
mlr3mbo 0.3.0
- fix: logger changes related to bbotk.
- fix: assure that candidates after acquisition function optimization
are always within bounds.
- perf: minor changes to speed up predictions with
SurrogateLearner and
SurrogateLearnerCollection.
- feat: added supported for input and output transformations (see
InputTrafo, OutputTrafo and the related
classes).
- refactor: dropped functionality to assert insample performance of
the surrogate model completely.
mlr3mbo 0.2.9
- chore: silence rush logger and fixed some partial matches, depend on
mlr3 >= 0.22.1.
- test: fix
test_AcqFunctionMulti, robustify helper and
loading.
- test: fix
test_ResultAssignerArchive and
test_ResultAssignerSurrogate due to upcoming changes of
internal tuned values in mlr3tuning 1.3.1.
mlr3mbo 0.2.8
- 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
- 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:
AcqFunctions and AcqOptimizer
gained a reset() method.
mlr3mbo 0.2.6
- refactor: extract internal tuned values in instance.
mlr3mbo 0.2.5
- 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
- fix: improve runtime of
AcqOptimizer by setting
check_values = FALSE.
mlr3mbo 0.2.3
- compatibility: work with new bbotk and mlr3tuning version
1.0.0.
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:
AcqFunctions 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_functions now replaced by
ResultAssigners.
- 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