]
Sent: Thursday, June 4, 2015 1:01 PM
To: Yang, Yuhao
Cc: Joseph Bradley; Lorenz Fischer; dev@spark.apache.org
Subject: Re: MLlib: Anybody working on hierarchical topic models like HLDA?
Is your HDP implementation based on distributed gibbs sampling? Thanks.
Sincerely,
DB Tsai
Hi Lorenz,
I'm not aware of people working on hierarchical topic models for MLlib, but
that would be cool to see. Hopefully other devs know more!
Glad that the current LDA is helpful!
Joseph
On Wed, Jun 3, 2015 at 6:43 AM, Lorenz Fischer lorenz.fisc...@gmail.com
wrote:
Hi All
I'm working
Hi All
I'm working on a project in which I use the current LDA implementation that
has been contributed by Databricks' Joseph Bradley et al. for the recent
1.3.0 release (thanks guys!). While this is great, my project requires
several levels of topics, as I would like to offer users to drill down
: Thursday, June 4, 2015 7:17 AM
To: Lorenz Fischer
Cc: dev@spark.apache.org
Subject: Re: MLlib: Anybody working on hierarchical topic models like HLDA?
Hi Lorenz,
I'm not aware of people working on hierarchical topic models for MLlib, but
that would be cool to see. Hopefully other devs know more
To: Lorenz Fischer
Cc: dev@spark.apache.org
Subject: Re: MLlib: Anybody working on hierarchical topic models like HLDA?
Hi Lorenz,
I'm not aware of people working on hierarchical topic models for MLlib, but
that would be cool to see. Hopefully other devs know more!
Glad
