jasperyang / btmpy Goto Github PK

hello,i don't konw why i run the code
s = self.sum()
assert(s>=0)

    K = len(self.p)
    for i in range(K):
        self.p[i] = (self.p[i] + smoother)/(s + K*smoother)

An error occurred: File "C:\Users\zoe_zoe\Desktop\BTMpy-master3\BTMpy-master\src\pvec.py", line 99, in normalize
self.p[i] = (self.p[i] + smoother)/(s + K*smoother)
ZeroDivisionError: float division by zero
Could you please tell me how to modify the code?Thanks

Thanks for the contribution. I am testing the algorithm with 120K of tweets, but it is extremely slow. 25 hours passed so far and it has not started to the iterations yet! Do I have any mistake? I read from the main paper that BTM is nearly 3 times slower than LDA, but according to my experiments, I think it is at least 10imes slower than LDA Gensim implementation. What do you think about that? Is there any approach providing faster processing?

Excuse me，Could you tell me how to output the document-topic distribution?

Thanks!

Is the output the best or average of all iterations？ Can I reduce the number of iterations to speed up the running time of the model？

Hello , I want to know the relationship between topic num K and parameter alpha and beta of this model