Open sofeasible opened 1 year ago
You can define an LxC probability matrix p_lc
, then pass it to model.get_theta()
using the user gauge by doing
model.get_theta(gauge='user', p_lc=p_lc)
If you do this for every model that you fit, all the reported parameters will be in the same gauge defined by p_lc
. See also: https://mavenn.readthedocs.io/en/latest/api.html#mavenn.Model.get_theta
Is there a way to set the gauge for the whole experiment (such as early when defining the model) instead of within each visualization? I can't figure this out from the docs.