Re: pyspark regression results way off

Here is my conversation about the same issue with regression methods: https://issues.apache.org/jira/browse/SPARK-1859 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/pyspark-regression-results-way-off-tp7672p8139.html Sent from the Apache Spark User List

Why MLLib classes are so badly organized?

Can anybody explain WHY: 1) LabeledPoint is in regression/LabeledPoint.scala? This cause import regression modules from classification modules. 2) Vector and SparseVector are in linalg? OK. GeneralizedLinearModel is in regression/GeneralizedLinearAlgorithm.scala? Really? 3) LinearModel is in