NEWS.md
TunerCmaes
from adagio package.predict_type
in AutoTuner
.TuneToken
in Learner$param_set
and create a search space from it.TuningInstanceSingleCrit
and TuningInstanceSingleCrit
changed.store_benchmark_result
, store_models
and check_values
in AutoTuner
. store_tuning_instance
must be set as a parameter during initialization.check_values
flag in TuningInstanceSingleCrit
and TuningInstanceMultiCrit
.bibtex
.Archive
is ArchiveTuning
now which stores the benchmark result in $benchmark_result
. This change removed the resample results from the archive but they can be still accessed via the benchmark result.as.data.table(rr)$learner[[1]]$tuning_result
must be used now.TuningInstance
is now TuningInstanceSingleCrit
. TuningInstanceMultiCrit
is still available for multi-criteria tuning.trm()
and trms()
instead of term()
and terms()
.store_resample_result
flag in TuningInstanceSingleCrit
and TuningInstanceMultiCrit
TunerNLoptr
adds non-linear optimization from the nloptr package.bbotk
logger now.check_values
flag in TuningInstanceSingleCrit
and TuningInstanceMultiCrit
.bbotk
package for basic tuning objects. Terminator
classes now live in bbotk
. As a consequence ObjectiveTuning
inherits from bbotk::Objective
, TuningInstance
from bbotk::OptimInstance
and Tuner
from bbotk::Optimizer
TuningInstance$param_set
becomes TuningInstance$search_space
to avoid confusion as the param_set
usually contains the parameters that change the behaviour of an object.$optimize()
instead of $tune()