Tnx for the workaround.
Margus (margusja) Roo
http://margus.roo.ee
skype: margusja
+372 51 480
On 16/03/15 06:20, Jeremy Freeman wrote:
Hi Margus, thanks for reporting this, I’ve been able to reproduce and
there does indeed appear to be a bug. I’ve created a JIRA and have a
fix ready, can
Hi again
Tried the same
examples/src/main/scala/org/apache/spark/examples/mllib/StreamingLinearRegression.scala
from 1.3.0
and getting in case testing file content is:
(0.0,[3.0,4.0,3.0])
(0.0,[4.0,4.0,4.0])
(4.0,[5.0,5.0,5.0])
(5.0,[5.0,6.0,6.0])
(6.0,[7.0,4.0,7.0])
Hi Margus, thanks for reporting this, I’ve been able to reproduce and there
does indeed appear to be a bug. I’ve created a JIRA and have a fix ready, can
hopefully include in 1.3.1.
In the meantime, you can get the desired result using transform:
model.trainOn(trainingData)
Hi
I try to understand example provided in
https://spark.apache.org/docs/1.2.1/mllib-linear-methods.html -
Streaming linear regression
Code:
import org.apache.spark._
import org.apache.spark.streaming._
import org.apache.spark.mllib.linalg.Vectors
import
