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opened by Bas Nijholt (@basnijholt) at 2017-08-18T15:11:34.731Z
Right now, in an empty learner choose_points(n) will always return maximum two points (the bounds).
choose_points(n)
We need to think of a better way.
The current functionality will already break when adding a known point before the bounds are evaluated.
The text was updated successfully, but these errors were encountered:
originally posted by Bas Nijholt (@basnijholt) at 2017-08-30T10:50:38.164Z on GitLab
Fixed in 940342e
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fix typo in 'uniform_loss' doc-string, closes python-adaptive#127
c0012a9
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(original issue on GitLab)
opened by Bas Nijholt (@basnijholt) at 2017-08-18T15:11:34.731Z
Right now, in an empty learner
choose_points(n)
will always return maximum two points (the bounds).We need to think of a better way.
The current functionality will already break when adding a known point before the bounds are evaluated.The text was updated successfully, but these errors were encountered: