Dennis,
If it is PLSA with least square loss then the QuadraticMinimizer that we
open sourced should be able to solve it for modest topics (till 1000 I
believe)...if we integrate a cg solver for equality (Nocedal's KNITRO paper
is the reference) the topic size can be increased much larger than ALS
Denis, I think it is fine to have PLSA in MLlib. But I'm not familiar
with the modification you mentioned since the paper is new. We may
need to spend more time to learn the trade-offs. Feel free to create a
JIRA for PLSA and we can move our discussion there. It would be great
if you can share your
Hello Xiangrui,
I am looking at the Spark Issues, but just wanted to know, if it is
mandatory for me to work on existing JIRAs before I can contribute to MLLib.
Regards,
Jayati
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Hello everybody,
Xiangrui, thanks for the link to roadmap. I saw it is planned to implement
LDA in the MLlib 1.1. What do you think about PLSA?
I understand that LDA is more popular now, but recent research shows that
modifications of PLSA sometimes performs better[1]. Furthermore, the most
rece
Hello Xiangrui,
Thanks for sharing the roadmap. I really helped.
Regards,
Jayati
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Hi Jayati,
Thanks for asking! MLlib algorithms are all implemented in Scala. It
makes us easier to maintain if we have the implementations in one
place. For the roadmap, please visit
http://www.slideshare.net/xrmeng/m-llib-hadoopsummit to see features
planned for v1.1. Before contributing new algo
