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 morality 0.05220243077220879 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 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-MLib-LDA-Example-tp26782.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
