Spark MLib LDA Example

2016-04-14 Thread Amit Singh Hora
Hi All,

I am very new to Spark-MLib .I am trying to understand and implement Spark
Mlib's LDA algorithm
Goal is to get Topic present documents given and terms with in those topics
.
I followed below link 
https://gist.github.com/jkbradley/ab8ae22a8282b2c8ce33
<https://gist.github.com/jkbradley/ab8ae22a8282b2c8ce33>  

But getting output as
TOPIC 0
morality0.05220243077220879
being   0.035021580374984436
omniscient  0.022428246152460637
islamic 0.021139857126802202
which   0.017421282572242652
natural 0.012911262664316678
about   0.01268297163653654
article 0.012466817422546324
keith   0.01246464564083541
california  0.01203631230812281

TOPIC 1
article 0.02052394395182315
someone 0.01579814589359546
different   0.014195697566496364
would   0.013759644157873953
human   0.013303732850358341
think   0.013203570748155018
could   0.01318633594470554
saying  0.011956765545346498
there   0.011669522102424768
which   0.011298125680292148

Now i dont understand how to get actual text in place of these TOPIC 1 and
TOPIC 2



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Re: LDA example?

2014-08-22 Thread Burak Yavuz
You can check out this pull request: https://github.com/apache/spark/pull/476

LDA is on the roadmap for the 1.2 release, hopefully we will officially support 
it then!

Best,
Burak

- Original Message -
From: Denny Lee denny.g@gmail.com
To: user@spark.apache.org
Sent: Thursday, August 21, 2014 10:10:35 PM
Subject: LDA example?

Quick question - is there a handy sample / example of how to use the LDA 
algorithm within Spark MLLib?  

Thanks!
Denny



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LDA example?

2014-08-21 Thread Denny Lee
Quick question - is there a handy sample / example of how to use the LDA 
algorithm within Spark MLLib?  

Thanks!
Denny