A nan_policy
kwarg for the sample estimators
#70
Labels
enhancement
New feature or request
Milestone
Currently, data with nan's are either always propagated, or an error is raised (e.g.
np.asarray_chkfinite
raises aValueError
).The behaviour around
nan
's is currently unspecified and untested.Luckily, SciPy has their very well-specified
nan_policy
(https://scipy.github.io/devdocs/dev/api-dev/nan_policy.html) which appears to be very much applicable to (at least) Lmo's sample estimators.The text was updated successfully, but these errors were encountered: