Comments (2)
@hrkadkhodaei Thanks for your interest.
I suppose that for negative binomial, scale is equal to 1/n
Yes that is correct. From the density you can see that n = 1 / scale.
I am not sure where the problem comes from, but several options would be
- the data cannot be described well by a NBI
- the model is sensitive to the hyper-parameters, so better try and set most of them to the default and start varying the learning-rate first and check results again
- stabilize estimation of Gradients and Hessians via
distribution = NBI
distribution.stabilize = "MAD" # or "L2"
Let me know if this helps.
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Closing this for now but feel free to re-open if the problem still persists.
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