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? >> >> >> >
