UnboundLocalError: local variable 'train_rng' referenced before assignment

[alrichardbollans]

If no seed is given when initialising the Midas object, then no seed is passed to Midas.train_model() and so the variable train_rng is left unassigned (line 748) and this creates an error on line on 759 when a value for train_rng is expected.

I suspect this same issue will arise in other areas where if self.seed is not None: is used without a corresponding else statement (e.g. line 1184 in Midas.over_impute()).

I suspect this can be fixed by simply adding an else statement which generates a random seed and uses this to assign a value to train_rng

Interpreter settings:
Python 3.9

numpy~=1.22.1
pandas~=1.3.5

scipy==1.8.0
matplotlib~=3.5.1
scikit-learn~=1.0.1
tensorflow==2.8.0
keras~=2.6.0
graphviz~=0.19
MIDASpy~=1.2.1
statsmodels~=0.13.2

[tsrobinson]

Thanks @alrichardbollans and apologies for the delay in getting back to you. I agree, and will implement asap.