multinom_entropy: Cross-Tasks multinomial entropy
In krisrs1128/bayesMult:
Description
Say r indexes tasks and k indexes latent source clusters.
Then, this term is
sum_r = 1^R \sum_k = 1^K pi_k^(r) \log(\pi_k^(r))
I really should be using the log-sum-exp trick, but hopefully pi
never gets too small in these preliminary experiments.
Usage
1
krisrs1128/bayesMult documentation built on May 20, 2019, 1:26 p.m.
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Description
Say r indexes tasks and k indexes latent source clusters. Then, this term is sum_r = 1^R \sum_k = 1^K pi_k^(r) \log(\pi_k^(r))
I really should be using the log-sum-exp trick, but hopefully pi never gets too small in these preliminary experiments.
Usage
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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