I guess I will have to upgrade to spark 1.5, thanks! 2015-10-28 11:50 GMT+01:00 Yanbo Liang <yblia...@gmail.com>:
> Spark ML/MLlib has provided featureImportances > <https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala#L213> > to > estimate the importance of each feature. > > 2015-10-28 18:29 GMT+08:00 Eugen Cepoi <cepoi.eu...@gmail.com>: > >> Hey, >> >> Is there some kind of "explain" feature implemented in mllib for the >> algorithms based on tree ensembles? >> Some method to which you would feed in a single feature vector and it >> would return/print what features contributed to the decision or how much >> each feature contributed "negatively" and "positively" to the decision. >> >> This can be very useful to debug a model on some specific samples and for >> feature engineering. >> >> Thanks, >> Eugen >> > >
