-
kohlhaasrebecca authoredkohlhaasrebecca authored
To find the state of this project's repository at the time of any of these versions, check out the tags.
CHANGELOG.md 1.55 KiB
CHANGELOG
[Unreleased]
Requirements
- numpy now at 1.23.3
- ....
Added
Features
- PyLinkForwardModel has new link_type 'umbridge' for UM-Bridge type models
- class
InputSpace
as parent class toExpDesigns
-
MetaModel
has option to train with OLS+constraints
Examples
- Example
umbridge_tsunamitutorial
to show two options of using UM-Bridge type models - Example
convergence_tests
for the constraints
Changed
General
- Independent functions moved out of classes
- Constructors of
PostProcessing
,BayesInference
,BayesModelComp
are to be given the engine instead of the metamodel - Constructor of
Exploration
to be givenExpDesigns
instead ofMetaModel
Engine
-
MetaModelEngine
renamed toEngine
- Split
run()
intotrain_normal()
andtrain_sequential()
-
opt_SeqDesign()
renamed tochoose_next_sample()
MetaModel
-
MetaModel
fully independent of model -
MetaModel
usesInputSpace
instead ofExpDesigns
-
create_metamodel()
split intobuild_metamodel()
andfit()
-
fit()
renamed toregression()
-
eval_metamodel()
only runs on given samples, full functionality retained inEngine.eval_metamodel()
- Polynomial related functions moved from
MetaModelEngine
toMetaModel
PyLinkForwardModel
- Read-in of MC-references now performed by
PyLinkForwardModel.read_observation()
ExpDesigns
- Parameters related to sequential training were moved from
MetaModel
toExpDesigns
(Seq*
,valid_model_runs
)
Removed
- Class
SequentialDesign
ExpDesigns.method
MetaModel.create_basis_indices()