Actually it's unnecessary to convert csv row to LabeledPoint, because we
use DataFrame as the standard data format when training a model by Spark ML.
What you should do is converting double attributes to Vector named
"feature". Then you can train the ML model by specifying the featureCol and
Hi
I am trying to read a csv with few double attributes and String Label . How
can i convert it to labelpoint RDD so that i can run it with spark mllib
classification algorithms.
I have tried
The LabelPoint Constructor (is available only for Regression ) but it
accepts only double format label.
