Re: How to handle categorical variables in Spark MLlib?

2015-12-26 Thread robert_dodier
a way through which string values from raw text can be > converted to features vector(Apart from the HashingTF-IDF transformation) > ? I don't know any other method. Maybe someone else can suggest something. best, Robert Dodier -- View this message in context: http://apache-spark

Re: How to handle categorical variables in Spark MLlib?

2015-12-25 Thread Yanbo Liang
> Hokam Singh Chauhan > > Mobile : 09407125190 > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/How-to-handle-categorical-variables-in-Spark-MLlib-tp25767.html > Sent from the Apache Spark User List mailing list archive at Nab

How to handle categorical variables in Spark MLlib?

2015-12-22 Thread hokam chauhan
-handle-categorical-variables-in-Spark-MLlib-tp25767.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

How to handle categorical variables in Spark MLlib?

2015-12-22 Thread Hokam Singh Chauhan
Hi, We have one use case in which we need to handle the categorical variables in SVM, Regression and Logistic regression models(MLlib not ML) for scoring. We are getting the possible category values against each category variable. So how the string value of categorical variable can be converted