Emukit

Latest version: v0.4.11

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0.4.11

- Various bugfixes, including installation on Windows
- Updated copyright info

0.4.10

- Wrapper for SKlearn Guassian process
- Black and isort formatting
- Brownian motion quadrature kernel and product embedding
- ProductMatern52 quadrature kernel embedding
- Multiple improvements to quadrature integration measures
- QuadratureProductKernel base class
- Doc improvements
- Bug fixes, including scipy compatibility fixes

0.4.9

- Update to newest version of GPy, which shall fix installation issues
- Mean Plug-in Expected Improvement
- Square root warping for BQ and WSABI
- Improved validation of categorical variables
- Updates and fixes of Local Penalization acquisition function
- bug fixes
- doc fixes

0.4.8

- Added sobol initial design
- BanditParameter
- Boolean operations for stopping conditions
- Preferential Bayesian optimization example
- MUMBO acquisition function
- Revised dependecies' versions requirements
- Bug fixes
- Doc fixes

0.4.7

- Added simple GP model for examples
- Bayesian optimization with unknown constraints
- Removed dependency on libomp
- Max value entropy search acquisition function
- Multi point expected improvement acquisition function
- Moved model free designs to core
- Profet implementation
- Added citation info
- QRBF for uniform and Gaussian measures
- uncertainty sampling acquisition for bq
- Bayesian Monte Carlo
- Bugfixes
- Doc fixes

0.4.6

- Added support for inequality constraints
- Fabolas as an example
- Bugfixes

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