Looks like it should be present in 1.3 at org.apache.spark.mllib.tree.loss.AbsoluteError
spark.apache.org/docs/1.3.0/api/java/org/apache/spark/mllib/tree/loss/AbsoluteError.html On Mon, Feb 29, 2016 at 9:46 AM, diplomatic Guru <diplomaticg...@gmail.com> wrote: > AbsoluteError() constructor is undefined. > > I'm using Spark 1.3.0, maybe it is not ready for this version? > > > > On 29 February 2016 at 15:38, Kevin Mellott <kevin.r.mell...@gmail.com> > wrote: > >> I believe that you can instantiate an instance of the AbsoluteError class >> for the *Loss* object, since that object implements the Loss interface. >> For example. >> >> val loss = new AbsoluteError() >> boostingStrategy.setLoss(loss) >> >> On Mon, Feb 29, 2016 at 9:33 AM, diplomatic Guru < >> diplomaticg...@gmail.com> wrote: >> >>> Hi Kevin, >>> >>> Yes, I've set the bootingStrategy like that using the example. But I'm >>> not sure how to create and pass the Loss object. >>> >>> e.g >>> >>> boostingStrategy.setLoss(......); >>> >>> Not sure how to pass the selected Loss. >>> >>> How do I set the Absolute Error in setLoss() function? >>> >>> >>> >>> >>> On 29 February 2016 at 15:26, Kevin Mellott <kevin.r.mell...@gmail.com> >>> wrote: >>> >>>> You can use the constructor that accepts a BoostingStrategy object, >>>> which will allow you to set the tree strategy (and other hyperparameters as >>>> well). >>>> >>>> *GradientBoostedTrees >>>> <http://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/tree/GradientBoostedTrees.html#GradientBoostedTrees(org.apache.spark.mllib.tree.configuration.BoostingStrategy)>* >>>> (BoostingStrategy >>>> <http://spark.apache.org/docs/latest/api/java/org/apache/spark/mllib/tree/configuration/BoostingStrategy.html> >>>> boostingStrategy) >>>> >>>> On Mon, Feb 29, 2016 at 9:21 AM, diplomatic Guru < >>>> diplomaticg...@gmail.com> wrote: >>>> >>>>> Hello guys, >>>>> >>>>> I think the default Loss algorithm is Squared Error for regression, >>>>> but how do I change that to Absolute Error in Java. >>>>> >>>>> Could you please show me an example? >>>>> >>>>> >>>>> >>>> >>> >> >
