Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16464#discussion_r95948289
--- Diff: R/pkg/R/mllib_clustering.R ---
@@ -388,6 +388,13 @@ setMethod("spark.lda", signature(data =
"SparkDataFrame"),
#' \item{\code{topics}}{top 10 terms and their weights of all
topics}
#' \item{\code{vocabulary}}{whole terms of the training corpus,
NULL if libsvm format file
#' used as training set}
+#' \item{\code{trainingLogLikelihood}}{Log likelihood of the
observed tokens in the training set,
+#' given the current parameter estimates:
+#' log P(docs | topics, topic distributions for docs,
Dirichlet hyperparameters)
+#' It is only for \code{DistributedLDAModel} (i.e.,
optimizer = "em")}
--- End diff --
```\code{DistributedLDAModel}``` should convert to text description, since
there is no class called ```DistributedLDAModel``` in SparkR.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
