Releases: jajcayn/pygpso
Releases · jajcayn/pygpso
Release v0.6.1
Release v0.6
The new version brings a few changes:
- switch from Travis to github actions for CI (linting, testing, and codecov)
- fix saving of
GPSurrogates
Release v0.5.1
New minor release:
- only
GPFlow
in requirements, so that it installs the best version oftensorflow
andtensorflow-probability
- better testing scheme for saving / loading of
GPRSurrogate
Release v0.5
Version 0.5 brings to you:
- easier interface for surrogate GP creation and control
- more surrogate options
- python3.8 support
- wider testing suite (testing regularly 3.6 - 3.8)
- DOI via zenodo
Release v0.4.1
- switch from GPFlow2.0rc to official 2.0 release now on
pypi
! - that means that
pygpso
can be installed viapypi
as well
Release v0.4
New release comes with new features!
- saving of optimiser state: now possible to resume optimisation from the saved state
- saving of GPR model
- saver helper for saving modelling output, not just scores which we are optimising for
- support for callbacks - custom functions run repeatedly in the particular state of the optimisation
- support for repeated evaluation of the objective function for the same parameters (useful for a stochastic systems optimisation - the scores are then aggregated to be represented by a scaler per parameters)
- better example notebooks (also support of interactive run thanks to binder)
- couple minor bug fixes
Release v0.3
igraph
as an optional dependency
Release v0.2
- More concise README
- better test coverage
- minor code changes
Release version 0.1.1
Added MANIFEST.in
Initial release
The initial release of pyGPSO
.