If you use the Pipelines Api with DataFrames, you select which columns you
would like to train on using the VectorAssembler. While using the
VectorAssembler, you can choose not to select some features if you like.
Best,
Burak
On Thu, Jul 9, 2015 at 10:38 AM, Arun Luthra wrote:
> Is it possible
Is it possible to ignore features in mllib? In other words, I would like to
have some 'pass-through' data, Strings for example, attached to training
examples and test data.
A related stackoverflow question:
http://stackoverflow.com/questions/30739283/spark-mllib-how-to-ignore-features-when-trainin
