Releases: mlr-org/mlr3
Releases Β· mlr-org/mlr3
mlr3 0.20.2
mlr3 0.20.1
- feat: Add multiclass Matthews correlation coefficient
msr("classif.mcc")
.
mlr3 0.20.0
- Added support for learner-internal validation and tuning.
mlr3 0.19.0
- Added support for
"marshal"
property, which allows learners to process models so they can be serialized.
This happens automatically duringresample()
andbenchmark()
. - Encapsulation methods use the same RNG state now.
- Fix missing values in
default_values.Learner()
function. - Encapsulated error messages are now printed with the
lgr
package.
mlr3 0.18.0
- Prepare compatibility with new paradox version.
- feat: dictionary conversion of
mlr_learners
respects prototype arguments
recently added in mlr3misc - perf: skip unnecessary clone of learner's state in
resample()
mlr3 0.17.2
- Skip new
data.table
tests on mac.
mlr3 0.17.1
- Remove
data_prototype
when resampling fromlearner$state
to reduce memory consumption. - Reduce number of threads used by
data.table
and BLAS to 1 when runningresample()
orbenchmark()
in parallel. - Optimize runtime of
resample()
andbenchmark()
by reducing the number of hashing operations.
mlr3 0.17.0
- Learners cannot be added to the
HotstartStack
anymore when the model is missing. - Learners bellow the
hotstart_threshold
are not added to theHotstartStack
anymore. - The
learner$state$train_time
in hotstarted learners is now only the time of the last training. - Added debug messages to the hotstart stack.
- Fixed bug where the
HotstartStack
did not work with column roles set in the task. - The
design
ofbenchmark()
can now include parameter settings. - Speed up resampling by removing unnecessary calls to
packageVersion()
. - Fix boston housing data set.
- Export generic function
col_info
to allow adding new methods for backends. - Task printer includes row roles now.
- Add
"mlr3.exec_chunk_bins"
option to split the resampling iterations into a number of bins.
mlr3 0.16.1
- Function
data.table()
is now re-exported. - Fixed a test which randomly failed.
- Improved documentation.
- Add encapsulation mode
"try"
, which works similar to"none"
but captures errors
mlr3 0.16.0
- Added argument
paired
tobenchmark_grid()
function, which can be used to create a benchmark design, where
resamplings have been instantiated on tasks. - Added S3 method for
ResultData
foras_resample_result()
converter. - Added S3 method for
list
foras_resample_result()
converter. - The featureless classification learner now returns proper probabilities
(#918).