We recently added metrics for regression: https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/evaluation/RegressionMetrics.scala and you can use https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetrics.scala for ROC if it is a binary classification problem.
-Xiangrui On Mon, Nov 3, 2014 at 12:52 PM, Sameer Tilak <ssti...@live.com> wrote: > Hi All, > > I have been using LinearRegression model of MLLib and very pleased with its > scalability and robustness. Right now, we are just calculating MSE of our > model. We would like to characterize the performance of our model. I was > wondering adding support for computing things such as Confidence Interval > etc. are they something that are on the roadmap? Graphical things such as > ROC curves etc. will that be supported by MLLib/other parts of the > ecosystem? or is this something for which other statistical packages are > recommended? --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
