Hi all,
Somehow related to this question and this data structure, what is the best
way to extract features using names instead of positions? Of course, it is
previously necessary to store the names in some way...
Thanks in advance
--
View this message in context:
I am using 1.0.1. It does not matter to me whether it is the first or second
element. I would like to know how to extract the i-th element in the feature
vector (not the label).
data.features(i) gives the following error:
method apply in trait Vector cannot be accessed in
Oh I'm sorry, I somehow misread your email as looking for the label. I
read too fast. That was pretty silly. THis works for me though:
scala val point = LabeledPoint(1,Vectors.dense(2,3,4))
point: org.apache.spark.mllib.regression.LabeledPoint = (1.0,[2.0,3.0,4.0])
scala point.features(1)
res10:
