This is a useful feature but it may be hard to have it in v1.1 due to limited time. Hopefully, we can support it in v1.2. -Xiangrui
On Mon, Jul 21, 2014 at 12:58 AM, Jiusheng Chen <chenjiush...@gmail.com> wrote: > It seems MLlib right now doesn't support weighted training, training samples > have equal importance. Weighted training can be very useful to reduce data > size and speed up training. > > Do you have plan to support it in future? The data format will be something > like: > > label:*weight * index1:value1 index2:value2 ... > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/LabeledPoint-with-weight-tp10291.html > Sent from the Apache Spark User List mailing list archive at Nabble.com.
