Changelog

All notable changes to Emukit will be documented in this file.

[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

[0.4.5]

Confirmed support for Python 3.7
Removed dependency on GPyOpt
Implemented generic IntegratedHyperParameterAcquisition
Added notebooks validation automation
Random baseline for benchmarking
Implemented a range of discrete optimizers
Uniform measure and mutual information acquisition for BQ
Added sample_uniform method to parameter space and individual parameter types
Improved unit test coverage
Various fixes in code, comments and notebooks