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? >>>> >>>> >>>> >>> >> >
