0.21.0

What's Changed

• Implement TREGO algorithm by @relf in #173
• Fix added point count in TREGO local step by @relf in #174
• Fix WB2S criteria scaling factor and fmin computation by @relf in #175
• Prepare release 0.21 by @relf in #176

Full Changelog: 0.20.0...0.21.0

0.20.0

What's Changed

• Make n_optmod option available in Python by @relf in #161
• Add dependabot cargo ecosystem check by @relf in #163
• Save original parameters in trained gp models by @relf in #166
• Implement cross validation metric for surrogates by @relf in #167
• Better Egor solver state handling by @relf in #168
• Refactor ego module by @relf in #169

Full Changelog: 0.19.0...0.20.0

0.19.0

What's Changed

• ego:
  • Allow to reuse surrogate trainings (reuse previous hyperparameters) from a previous iteration by @relf in #157
  • Fix hot start mechanism due to bad loaded DOE exploitation by @relf in #156
  • Adjust log messages by @relf in #158
  • Log Egor configuration by @relf in #159
• gp:
  • Allow fixed hyperparameters theta for GP and Sparse GP by @relf in #155
• egobox:
  • Upgrade to pyo3 0.21 by @relf in #152
  • Upgrade dependencies by @relf in #153

Full Changelog: 0.18.1...0.19.0

0.18.1

What's Changed

• Fix GP mixture with kpls option on Griewank test function by @relf in #150
• Prepare release 0.18.1 by @relf in #151

Full Changelog: 0.18.0...0.18.1

0.18.0

What's Changed

• gp, moe, egobox (Python): Rename predict_derivatives() as predict_gradients() by @relf in #148
• Prepare release 0.18 by @relf in #149

Full Changelog: 0.17.0...0.18.0

0.17.0

What's Changed

• [Breaking changes] gp API renaming by @relf in #145
  • predict_values() is renamed predict()
  • predict_variances() is renamed predict_var()
  • predict_variance_derivatives() is renamed predict_var_derivatives()
    Derivatives predictions (predict_derivatives() and predict_var_derivatives()) are made available in Python.
• Refactor Mixture of Experts by @relf in #146
  Factorize code between full GP and sparse GP implementations
• Prepare release 0.17 by @relf in #147

Full Changelog: 0.16.0...0.17.0

0.16.0

What's Changed

• Add Gpx accessors by @relf in #140
  Some surrogate traits where refactored:
  • Add GpSurrogateExt trait to manage derivatives and sampling
  • Add GpParameterized trait to manage optimized parameters
  • MixtureGpSurrogate is not a FullGpSurrogate any more
  • Add experts retrieval from GpMixture
• Fix LHS maximin bug by @relf in #141

Full Changelog: 0.15.3...0.16.0

0.15.3

What's Changed

• Improve classic, centered and maximin LHS performance by @relf in #138
• Prepare release 0.15.3 by @relf in #139

Full Changelog: 0.15.2...0.15.3

0.15.2

What's Changed

• doe: Improve optimized LHS performance (1.25x speedup) by @relf in #136
• Prepare release 0.15.2 by @relf in #137

Full Changelog: 0.15.1...0.15.2

0.15.1

What's Changed

• Rework (mostly internal) API to avoid awkward &Option by @relf in #134
• Add Python bindings for all LHS flavours by @relf in #135

Full Changelog: 0.15.0...0.15.1