I have ended up with the following piece of code but is turns out to be
really slow... Any other ideas provided that I can only use MLlib 1.2?
val data = test11.map(x= ((x(0) , x(1)) , x(2))).groupByKey().map(x=
(x._1 , x._2.toArray)).map{x=
var lt : Array[Double] = new
I have a set of data based on which I want to create a classification
model. Each row has the following form:
user1,class1,product1
user1,class1,product2
user1,class1,product5
user2,class1,product2
user2,class1,product5
user3,class2,product1
etc
There are about 1M users, 2 classes, and 1M
