Dani, this appears to be addressed in SPARK-5567, scheduled for Spark 1.5.0.
Ken
On May 21, 2015, at 11:12 PM, user-digest-h...@spark.apache.org wrote:
From: Dani Qiu zongmin@gmail.com
Subject: LDA prediction on new document
Date: May 21, 2015 at 8:48:40 PM PDT
To: user
to be addressed in SPARK-5567
https://issues.apache.org/jira/browse/SPARK-5567, scheduled for Spark
1.5.0.
Ken
On May 21, 2015, at 11:12 PM, user-digest-h...@spark.apache.org wrote:
*From: *Dani Qiu zongmin@gmail.com
*Subject: **LDA prediction on new document*
*Date: *May 21, 2015 at 8:48:40 PM PDT
:
*From: *Dani Qiu zongmin@gmail.com
*Subject: **LDA prediction on new document*
*Date: *May 21, 2015 at 8:48:40 PM PDT
*To: *user@spark.apache.org
Hi, guys, I'm pretty new to LDA. I notice spark 1.3.0 mllib provide EM
based LDA implementation. It returns both topics and topic
Hi, guys, I'm pretty new to LDA. I notice spark 1.3.0 mllib provide EM
based LDA implementation. It returns both topics and topic distribution.
My question is how can I use these parameters to predict on new document ?
And I notice there is an Online LDA implementation in spark master branch,