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 <arun.lut...@gmail.com> wrote: > 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-training-a-classifier > > Arun >
