algo_VB_DirBer_R: Collapsed VB for the Dirichlet-Bernoulli model
In alumbreras/NBMF: Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
View source: R/algo_VB_DirBer.R
Description
Collapsed Variational Inference under the Truncated Symmetric Dirichlet Prior
Instead of computing the real limit K -> inf, we keep the origial Dirichlet-Multinomial
with a large K and Dirichlet parameters alpha/K
Usage
1
algo_VB_DirBer_R(V, Z, K, alpha = 1, beta = 1, gamma = 1, iter = 100)
alumbreras/NBMF documentation built on July 28, 2020, 9:58 a.m.
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View source: R/algo_VB_DirBer.R
Description
Collapsed Variational Inference under the Truncated Symmetric Dirichlet Prior Instead of computing the real limit K -> inf, we keep the origial Dirichlet-Multinomial with a large K and Dirichlet parameters alpha/K
Usage
1 | algo_VB_DirBer_R(V, Z, K, alpha = 1, beta = 1, gamma = 1, iter = 100)
|
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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