1.3.0

• Breaking Changes: MGP is now compliant with the SurrogateModel API
  • mgp.predict_values() method outputs is now a 2d array (fix #375)
  • mgp.predict_variances() method now takes only one arg and returns only MGP variances (old version call predict_variances(x, both=False))
  • mgp.predict_variances_no_uq() , specific to MGP, computes variances without hyperparameters uncertainty (second value returned by the old version call predict_variances(x, both=True))
• Cleanup install_requires: remove packaging, move numpydoc and matplotlib to requirements.txt (#370)
• Documentation updates:
  • Add new example: Learning airfoil parameters using GENN surrogate model (#374 thanks @raul-rufato)
  • Update MixedInteger Tutorial: add an example of mixed integer surrogate model usage for an hybrid composites problem (#357 thanks @raul-rufato)
  • Minor fixes in notebooks (#377 thanks @NatOnera)
• Fix warnings in optimized ESE LHS (#350)
• Fix wing weight problem formula (#381)
• Use warnings.warn instead of print in Kriging-based surrogates (#367 thanks @zhoutianxun)