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dflemin3 / approxposterior

A Python package for approximate Bayesian inference and optimization using Gaussian processes
https://dflemin3.github.io/approxposterior/
MIT License
41 stars 9 forks source link

Patch: Fix issue #62 #63

Closed dflemin3 closed 4 years ago

dflemin3 commented 4 years ago

This PR contains a small fixes for #62. By default, findNewPoints has a new kwarg, verbose, that defaults to True. Currently, if nFindNewPoints < nOptGPEveryN, and if verbose == True, the user is warned that the GP hyperparameters will never be optimized and advises them how to fix it.