Releases: JuliaAI/MLJBase.jl
v0.15.4
v0.15.3
v0.15.2
MLJBase v0.15.2
Merged pull requests:
v0.15.1
MLJBase v0.15.1
Closed issues:
- Re-instate julia 1.5 testing (#389)
Merged pull requests:
- added logpdf.(u, v) and logpdf.(u, raw) methods (#418) (@OkonSamuel)
- For 0.15.1 release (#419) (@ablaom)
v0.15.0
MLJBase v0.15.0
-
(enhancement) Add
fitted_params_per_fold
andreport_per_fold
properties to the object returned byevaluate
/evaluate!
to give user access to the outcomes of training for each train/test pair in resampling (#400, JuliaAI/MLJ.jl#616) -
(enhancement) Implement
logpdf
forUnivariateFinite
distributions (#411) -
(code organization) Remove ScientificTypes as explicit dependency (#403)
-
(bug fix) Fix bug related to creating new composite models by hand in special case of non-model hyper-parameters (not an issue with
@pipeline
or@from_network
models). Introduce newreturn!
syntax for doing this and deprecate calling of learning network machines ( #390, #391, #377) -
(breaking) Change the behavior of
evaluate
/evaluate!
so that weights are only passed to measures if explicitly passed using the key-word argumentweights=...
(#405)
Closed issues:
- possible test failure (again!) in upcoming Julia version 1.5 (#286)
- Prohibit distinct fields in composite models pointing to two models that are === (#377)
- Update logic flawed in case of composite models with non-model fields (#390)
- Towards a 0.15 release (#404)
- Decouple interface points for training weights and weights used in measures. (#405)
- Release that doesn't have ScientificTypes as a hard dep? (#412)
Merged pull requests:
- Fix update logic for Composite models (#391) (@ablaom)
- Add report_per_fold and machine_per_fold to results of evaluate!() (#400) (@ablaom)
- Remove ScientificTypes as explicit dependency and as a test dependency (#403) (@ablaom)
- CompatHelper: open PRs against
dev
(#407) (@DilumAluthge) - Add logpdf method for UnivariateFinite (#411) (@cscherrer)
- Decouple training weights from evaluation weights (#413) (@ablaom)
- For a 0.15 release (#417) (@ablaom)
v0.14.9
MLJBase v0.14.9
Merged pull requests:
- Export
JointProbabilistic
andpredict_joint
(#398) (@DilumAluthge) - For a 0.14.9 release (#401) (@ablaom)
v0.14.8
MLJBase v0.14.8
Closed issues:
- Improve error messages for data type problems within a pipeline (#358)
Merged pull requests:
- Remove redundant references to Scientific type. (#387) (@ablaom)
- Add the
:predict_joint
operation, and add composite and surrogate types forJointProbabilistic
(#392) (@DilumAluthge) - Make some code more concise (#393) (@DilumAluthge)
- Eliminate multiple entries for
implement_methods
trait (#394) (@ablaom) - Improve error message for exception thrown by composite models (#396) (@ablaom)
- For a 0.14.8 release (#397) (@ablaom)
v0.14.7
v0.14.6
MLJBase v0.14.6
Merged pull requests:
- fix operations.jl (#378) (@OkonSamuel)
- For a 0.14.6 release (#379) (@ablaom)
v0.14.5
MLJBase v0.14.5
Merged pull requests:
- Fixes (#375) (@OkonSamuel)
- For a 0.14.5 release (#376) (@ablaom)