I have one document per file and each file is to be converted to a feature vector. Pretty much like standard feature construction for document classification. ThanksRishi
Date: Sun, 5 Jul 2015 01:44:04 +1000 Subject: Re: Feature Generation On Spark From: guha.a...@gmail.com To: mici...@gmail.com CC: rishikeshtha...@hotmail.com; user@spark.apache.org Do you have one document per file or multiple document in the file? On 4 Jul 2015 23:38, "Michal Čizmazia" <mici...@gmail.com> wrote: Spark Context has a method wholeTextFiles. Is that what you need? On 4 July 2015 at 07:04, rishikesh <rishikeshtha...@hotmail.com> wrote: > Hi > > I am new to Spark and am working on document classification. Before model > fitting I need to do feature generation. Each document is to be converted to > a feature vector. However I am not sure how to do that. While testing > locally I have a static list of tokens and when I parse a file I do a lookup > and increment counters. > > In the case of Spark I can create an RDD which loads all the documents > however I am not sure if one files goes to one executor or multiple. If the > file is split then the feature vectors needs to be merged. But I am not able > to figure out how to do that. > > Thanks > Rishi > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Feature-Generation-On-Spark-tp23617.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 > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
