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Thibault Hallouin authored
The general approach is to "eliminate" the time steps where observations or predictions are missing as early as possible in the algorithm. The best approach seemed to update the user-provided temporal masks to also mask those time steps with missing data. An alternative approach would have been to create a view on the observations and predictions, e.g. using something like `xt::view(obs, ..., xt::drop(...))`, but this produces a non-contiguous view which cannot be sorted with `xt::sort` later to determine the quantiles. This is documented in `evalp` docstring and new unit tests are added.
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