v1.2.0

Surrogates v1.2.0

Diff since v1.1.2

• Fixed dependency bug at installation with XGBoost.
• Added Variable fidelity surrogate
• Added Polynomial expansion surrogate
• Added Mixture of experts surrogate
• Added Wendland surrogate
• Added tutorials in the docs

Closed issues:

• Compactly Supported Basis Functions (#52)
• Polynomial chaos (PC) (#56)
• Changing bounds in RadialBasis function (#57)
• Multidimensional Output Support (#98)
• Naive Multi output surrogates (#107)
• Improving RBF functionalities (#116)
• Handle infinite/NaN values (#117)
• Add new sampling methods: (#124)
• Standard API with kwargs (#130)
• Load and Argument Error (#141)
• error when I am building a Surrogate using Radial Basis Surrogate (#143)
• Fixing docstrings (#151)

Merged pull requests:

• Added Kronecker sequence (#125) (@ludoro)
• Added GoldenSample (#126) (@ludoro)
• Added new condition on LCBS to skip infinite or nan values (#127) (@ludoro)
• Fixin radial bounds, making them consistent with other surrogates (#128) (@ludoro)
• Added scaling parameter to avoid numerical problems (#129) (@ludoro)
• Added kwargs for Kriging (#132) (@ludoro)
• Fixed warning with kwargs Kriging, fixed tests (#133) (@ludoro)
• CompatHelper: add new compat entry for "Flux" at version "0.10" (#134) (@github-actions[bot])
• CompatHelper: add new compat entry for "XGBoost" at version "0.4" (#135) (@github-actions[bot])
• Adding kwargs for inverse distance (#136) (@ludoro)
• Kwargs for radials (#137) (@ludoro)
• kwargs for loba (#138) (@ludoro)
• kwargs random_forest (#139) (@ludoro)
• kwargs neural (#140) (@ludoro)
• Update docs (#142) (@mkg33)
• Added sparse radials (#144) (@ludoro)
• CompatHelper: add new compat entry for "ExtendableSparse" at version "0.3" (#145) (@github-actions[bot])
• Sparse lobachesky (#146) (@ludoro)
• Removed tracker from ad_compatibility (#147) (@ludoro)
• Missing docstring (#148) (@TeAmP0is0N)
• Update quick example and rebuild docs (#149) (@mrandri19)
• Use @example tags in documentation's examples (#150) (@mrandri19)
• Fixing docstrings (#153) (@TeAmP0is0N)
• Add contributing instructions to README.md (#154) (@mrandri19)
• Contributing (#155) (@zzj0402)
• WIP wendland (#157) (@ludoro)
• Added different subsection (#158) (@TeAmP0is0N)
• CompatHelper: add new compat entry for "IterativeSolvers" at version "0.8" (#159) (@github-actions[bot])
• Packages imports in the right place, clearer first step contributions (#160) (@ludoro)
• LCSB Optimizer: fix extra sqrt and make k a parameter (#161) (@mrandri19)
• Add Kriging 1D tutorial (#162) (@mrandri19)
• Add docs dependencies (#163) (@mrandri19)
• WIP MOE (#164) (@ludoro)
• add example for random forest surrogates (#165) (@michiboo)
• Fix plots y axis limits (#166) (@mrandri19)
• Use points range rather than function for plotting (#167) (@mrandri19)
• CompatHelper: add new compat entry for "Clustering" at version "0.14" (#168) (@github-actions[bot])
• CompatHelper: add new compat entry for "GaussianMixtures" at version "0.3" (#169) (@github-actions[bot])
• Added VariableFidelity surrogate, fixed bug in INversedistance (#170) (@ludoro)
• Add ND Kriging tutorial (#171) (@mrandri19)
• fix plots for example in random forest surrogates (#172) (@michiboo)
• Update function in example for random forest (#173) (@michiboo)
• PolynomialChaos expansion (#174) (@ludoro)
• CompatHelper: add new compat entry for "PolyChaos" at version "0.2" (#176) (@github-actions[bot])
• CompatHelper: bump compat for "XGBoost" to "1.1" (#177) (@github-actions[bot])
• Fix off-by-one error in radial polynomial degree (#178) (@mrandri19)
• Linear surrogate (#179) (@TeAmP0is0N)
• fixed some minor problems (#180) (@TeAmP0is0N)
• Update LinearSurrogate.md (#181) (@mrandri19)
• add 1d example of lobachesky (#182) (@michiboo)
• Linear (#183) (@TeAmP0is0N)
• fix issues with plot in lobachesky example (#184) (@michiboo)