I am running a model that you can find here:
It originates from genomics and I will be more than willing to explain the details of it, but I am not sure it is necessary at first.
As stated in the title, I encounter the
Bad initial energy error. I read quite a bunch of threads here, like this one:
I started to follow the guidelines and I discovered a non-finite log-probability for
In : Basic_model.check_test_point() Out: alpha_interval__ -20.79 beta_interval__ -20.79 gamma_interval__ -20.79 delta_interval__ -20.79 eta_interval__ -27.73 sigma -303.25 Y_obs -inf Name: Log-probability of test_point, dtype: float64
The problem is that I don’t know what to do next. I checked that
Y_obs is positive:
In : Y_obs.tag.test_value[Y_obs.tag.test_value==0.] Out: array(, dtype=float64)
but then I am left with no idea as to why this is happening.
Any help would be much appreciated.