increase max sampling factor in refinement modules #689
Labels
m|emref
emref module
m|flexref
flexref module
m|mdref
mdref module
yaml default parameters
Anything related to the YAML configuration files for default parameters
PR #658 added checks on parameters' values. Therefore, the max value of
sampling_factor
should be higher than one, otherwise it does not make sense to have this parameter. I propose to use100
as maximum value (high enough to have variability when needed, for example in single structure refinement) and to modify the python code so as to handle possible mistakes when the user has, say, 1k models and sampling_factor = 100 (this should not be allowed).Default and min values are correct.
The text was updated successfully, but these errors were encountered: