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opened by Bas Nijholt (@basnijholt) at 2018-09-10T09:29:23.396Z
It is surprisingly easy to completely break the Learner1D
importadaptiveadaptive.notebook_extension()
deff(x): returnxlearner=adaptive.Learner1D(f, bounds=(-1, 1))
learner.tell(1, 0) # first add a point at the right boundarylearner.ask(1) # This will forever return ([1.0], [inf])
The text was updated successfully, but these errors were encountered:
(original issue on GitLab)
opened by Bas Nijholt (@basnijholt) at 2018-09-10T09:29:23.396Z
It is surprisingly easy to completely break the
Learner1D
The text was updated successfully, but these errors were encountered: