Hi Arunkumar, There are two implementation for LinearRegression, one <https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala> under ml package and another one <https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/regression/LinearRegression.scala> under mllib package. We can ensure the LinearRegression <https://github.com/apache/spark/tree/master/mllib/src/main/scala/org/apache/spark/ml/regression> under ml package can produce the same result compared with R, so please use this one to test. If you still get different result, please file a JIRA to track it.
Yanbo 2015-12-16 14:35 GMT+08:00 Arunkumar Pillai <arunkumar1...@gmail.com>: > Hi > > The Regression algorithm in the MLlib is using Loss function to calculate > the regression estimates and R is using matrix method to calculate the > estimates. > > I see some difference between the results of Both Spark and R. > > I was using the following class > LinearRegressionWithSGD.train(parsedData, numIterations) > > is it possible to get both results same. > > Please correct me if i'm wrong > > > > -- > Thanks and Regards > Arun >
