Thanks a lot Yanbo.! I will try it. Best Regards.
On Wed, Aug 10, 2016 at 7:09 PM, Yanbo Liang <yblia...@gmail.com> wrote: > You can load dataset from CSV file and use VectorAssembler to assemble > necessary columns into a single columns of vector type. The output column > of VectorAssembler will be the features column which should be feed into ML > estimator for model training. You can refer VectorAssembler document: > http://spark.apache.org/docs/latest/ml-features.html#vectorassembler . > > Thanks > Yanbo > > 2016-08-10 4:16 GMT-07:00 Minudika Malshan <minudika...@gmail.com>: > >> Hi all, >> >> I'm using spark ml library and need to train a model using data extracted >> from a CSV file. >> I found that we can load datasets from LibSVM files to spark ML methods. >> As far as i understood, the data should be represented as labeled points >> in-order to feed the ml methods. >> Is there a way to load dataset from a CSV file instead of a LibSVM file? >> Or do I need to convert the CSV file to LibSVM format? If so, could you >> please let me know a way to do that.? >> Your help would be much appreciated. >> >> Thank you! >> Minudika >> > >
