16. topicmodels package CTM
@Sigma # variance-covariance matrix of topics on the logit scale.
These are files corresponding to the (K-1) x (K-1) covariance matrix
between topics. Note that this code implements the logistic normal
where a K-2 Gaussian is mapped to the K-1 simplex. (This is slightly
different from the treatment in the paper, where the K-1 Gaussian is
mapped to the K-1 simplex.)
Correlation Topic Model (CTM)
17. These are files corresponding to the (K-1)
x (K-1) covariance matrix between topics.
Note that this code implements the
logistic normal where a K-2 Gaussian is
mapped to the K-1 simplex. (This is
slightly different from the treatment in
the paper, where the K-1 Gaussian is
mapped to the K-1 simplex.)
日本語でおk
18. (K-1) x (K-1) covariance matrix??
トピック数はKだろ?
Note that this code implements the logistic normal where
a K-2 Gaussian is mapped to the K-1 simplex.
La estoy críptica distribución de Gauss de K-2 ¿Quién dijo
que corresponde a la simple de K-1?
(K-2のガウス分布がK-1のsimplexに対応しているって
意味不明なんだけど?)
・・・