Releases · BAMresearch/probeye

This release is the first official release for probeye, which will allow for its reference in Zenodo. It includes both the consolidated implementation of probeye, but also adds likelihood formulations for embedded model form uncertainty quantification, solves the copy/deepcopy issues with DolfinX models and simplifies the interface access for the implementaition of new solvers.

What's Changed

Proposal for probeye's first version by @aklawonn in #1
The attributes of the InferenceProblem's parameters cannot be changed… by @aklawonn in #13
Type of sensors by @aklawonn in #22
Coupling parameters and priors by @aklawonn in #23
added github badges by @aklawonn in #27
Torch implementation by @aklawonn in #28
jacobi matrix reduced from 3d to 2d by @aklawonn in #29
Solver classes by @aklawonn in #31
logging by @aklawonn in #33
vector-parameters by @aklawonn in #35
copy-issue by @aklawonn in #36
evaluate_model_response by @aklawonn in #37
Improvements by @aklawonn in #38
Improve dependency management by @rozsasarpi in #39
code style by @aklawonn in #50
missing probeye.txt by @aklawonn in #56
post-processing by @aklawonn in #30
Refactor run_inference_engines by @TTitscher in #59
Dynesty solver by @TTitscher in #58
Add the truncated normal distribution to the possible priors (https:/… by @DoStrobl in #62
problem definition order by @aklawonn in #63
correlation by @aklawonn in #53
forward model definition by @aklawonn in #65
improve forward model by @aklawonn in #66
Likelihood model definition by @aklawonn in #67
documentation by @aklawonn in #32
Improve general loglikelihood evaluation by @JanKoune in #71
fixed bug in torch-solver by @aklawonn in #72
improve documentation by @aklawonn in #68
tests and domains by @aklawonn in #74
inverse problem by @aklawonn in #75
experiments and sensors by @aklawonn in #76
owlready2 by @aklawonn in #79
remove graph import by @aklawonn in #81
MAP estimator by @aklawonn in #82
Fix emcee sampling out of bounds when bounds are not specified by @JanKoune in #85
parameter's priors by @aklawonn in #80
improve plotting by @aklawonn in #86
update documentation by @aklawonn in #87
solver reproducibility by @aklawonn in #88
forward model arguments by @aklawonn in #89
readme adjustment by @aklawonn in #92
97 the ci is failing by @danielandresarcones in #98
Update push.yaml to do latest with 3.10 correctly by @joergfunger in #102
103 output sensor order in forward model by @danielandresarcones in #104
109 tests are failing update python versions by @joergfunger in #110
111 importerror cannot import name gaussian from scipysignal by @joergfunger in #112
Embedded bias paper by @danielandresarcones in #117
Fixed parallel and RGMM by @danielandresarcones in #118
Fixed global logprob by @danielandresarcones in #119
Embedded bias initial implementation by @danielandresarcones in #114