Re: Model characterization

2014-11-04 Thread vinay453
Go it from a friend - println(model.weights) and println(model.intercept). -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Model-characterization-tp17985p18106.html Sent from the Apache Spark User List mailing list archive at Nabble.com

RE: Model characterization

2014-11-04 Thread Sameer Tilak
Excellent, many thanks. Really appreciate your help. Sent via the Samsung GALAXY S®4, an AT&T 4G LTE smartphone Original message From: Xiangrui Meng Date:11/03/2014 9:04 PM (GMT-08:00) To: Sameer Tilak Cc: user@spark.apache.org Subject: Re: Model characterization

Re: Model characterization

2014-11-03 Thread Xiangrui Meng
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/BinaryClassificatio

Model characterization

2014-11-03 Thread Sameer Tilak
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