Open njwfish opened 3 years ago
Hello! I will try to work on adding this distribution; it is my first issue :). I will begin implementing one or two of the exact methods to add the support.
Excited this is getting attention - let me know if I can be helpful!
Hi! Is this issue still up for grab? If so I'd like to work on this
I believe so yes! @mveramiranda started a version here it looks like but I don’t know how far they got. Certainly not a full implementation. https://github.com/mveramiranda/probability/tree/poisson-binomial-first-draft
Hi @maknarang29 just want to check if you are working on this. If not I might finally take a look at it, so please let me know!
Hi @maknarang29 just want to check if you are working on this. If not I might finally take a look at it, so please let me know!
Hi, apologies for the delay, I have started working upon the issue, shall update upon my progress soon. I do have a few doubts and was wondering if I can ask here?
Feel free!
Hi, I have implemented the DC-FFT using pyfftw, I was wondering if that is allowed or should i use scipy or some other package since pyfftw is third party package
You should use the native tensorflow fft: https://www.tensorflow.org/api_docs/python/tf/signal/fft
Just following up here!
Just following up here!
HI! apologies, I got caught up in exams. Shall show you the final draft in a week's time
Is this issue still open or resolved ? I am interested to work on it.
Yep, still open!
Poisson Binomial distributions (and the more general Poisson Multinomial) crop up all over the place in the social sciences, particularly ecological inference, and linguistics. Having such a distribution in tensorflow would be very valuable to those communities. Efficient implementations exist in R: https://cran.r-project.org/web/packages/PoissonBinomial/PoissonBinomial.pdf
And descriptions for implementing the most recent algorithm can be found here: https://www.sciencedirect.com/science/article/pii/S0167947318300082?via%3Dihub