mlr3tuningspaces 0.5.2
- compatibility: mlr3learners 0.9.0
mlr3tuningspaces 0.5.1
- compatibility: Work with new mlr3tuning version 1.0.0
mlr3tuningspaces 0.5.0
- fix: Reduce levels of
respect.unordered.factors
of
search space ranger.rbv1
to "ignore"
and
"order"
.
- compatibility: Work with new paradox version 1.0.0
mlr3tuningspaces 0.4.0
- fix: The source of the
rbv2
search spaces was wrong.
The source is Binder, Pfisterer, and Bischl (2020). Thanks to @markus-schaffer.
- feat: Add
rbv1
search spaces from the Kühn (2018)
paper.
mlr3tuningspaces 0.3.5
- fix: Add missing
...
parameter to
rd_info.TuningSpace()
.
mlr3tuningspaces 0.3.4
- docs: Remove deprecated
method
argument of
mlr3tuning::tune()
.
- docs: Update resources.
mlr3tuningspaces 0.3.3
- fix: Extra
paradox::TuneToken
in lts()
were not passed to learners created with
$get_learner()
.
- docs: Add
lts()
return.
mlr3tuningspaces 0.3.2
- docs: Add
mlr_tuning_spaces
prefix to aliases.
mlr3tuningspaces 0.3.1
- docs: Add glmnet description.
mlr3tuningspaces 0.3.0
- feat: Pass
paradox::TuneToken
to lts()
to
add, remove or overwrite parameters in tuning spaces and learners.
- fix: Remove debugging from
lts()
.
mlr3tuningspaces 0.2.0
- feat: Add a
as.data.table.TuningSpace()
function.
- feat:
TuningSpace
objects have the optional field
$label
now.
- feat: New
$help()
method which opens the manual page of
a TuningSpace
.
- feat: Add search space for
glmnet
and kknn
to default collection.
- feat: New
as_search_space()
function to create search
spaces from TuningSpace
objects.
mlr3tuningspaces 0.1.1
- fix: The
subsample
hyperparameter is tuned on a
logarithmic scale now. The lower bound of alpha
is reduced
from 1e-4
to 1e-3
. The tuning range of the
lambda
hyperparameter was 0.1 to 1. From now on,
lambda
is tuned from 1e-3
to 1e3
on a logarithmic scale.
mlr3tuningspaces 0.1.0
- refactor: update citations.
- feat: Add
mtry.ratio
hyperparameter to tuning spaces of
the ranger learner.
- feat: Add
$print()
method to TuningSpace
objects.
mlr3tuningspaces 0.0.1
- First release of the tuning spaces package.