Unable to predict using set_value with an errors-in-variables model

Hi All,

I am new to PyMC3 and found it to be wonderful software but I have also observed the same even though I have tried every possible pointers available of the web for predicting with X_Test, Y_Test of different lengths from X_Train, Y_Train. There are many situations in system identification (or at least in my experience) where the length of the Training and Test datasets is different. So,it will be nice if a solution to this issue can be found or at least a work around can be suggested .

Thanks,
Rishi