Hi Swaroop,

Would you mind to share your code that others can help you to figure out
what caused this error?
I can run the isotonic regression examples well.

Thanks
Yanbo

2016-07-08 13:38 GMT-07:00 dsp <durgaswar...@gmail.com>:

> Hi I am trying to perform Isotonic Regression on a data set with 9 features
> and a label.
> When I run the algorithm similar to the way mentioned on MLlib page, I get
> the error saying
>
> /*error:* overloaded method value run with alternatives:
> (input: org.apache.spark.api.java.JavaRDD[(java.lang.Double,
> java.lang.Double,
>
> java.lang.Double)])org.apache.spark.mllib.regression.IsotonicRegressionModel
> <and>
>   (input: org.apache.spark.rdd.RDD[(scala.Double, scala.Double,
> scala.Double)])org.apache.spark.mllib.regression.IsotonicRegressionModel
>  cannot be applied to (org.apache.spark.rdd.RDD[(scala.Double,
> scala.Double,
> scala.Double, scala.Double, scala.Double, scala.Double, scala.Double,
> scala.Double, scala.Double, scala.Double, scala.Double, scala.Double,
> scala.Double)])
>          val model = new
> IsotonicRegression().setIsotonic(true).run(training)/
>
> For the may given in the sample code, it looks like it can be done only for
> dataset with a single feature because run() method can accept only three
> parameters leaving which already has a label and a default value leaving
> place for only one variable.
> So, How can this be done for multiple variables ?
>
> Regards,
> Swaroop
>
>
>
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