Hi Julian,
Thanks for reporting this. This is a valid issue and I created
https://issues.apache.org/jira/browse/SPARK-19957 to track it.
Right now the seed is set to this.getClass.getName.hashCode.toLong by
default, which indeed keeps the same among multiple fits. Feel free to
leave your comments
I'm sorry, I missed some important informations. I use Spark version 2.0.2
in Scala 2.11.8.
2017-03-14 13:44 GMT+01:00 Julian Keppel :
> Hi everybody,
>
> I make some experiments with the Spark kmeans implementation of the new
> DataFrame-API. I compare clustering results of different runs with
>
Hi everybody,
I make some experiments with the Spark kmeans implementation of the new
DataFrame-API. I compare clustering results of different runs with
different parameters. I recognized that for random initialization mode, the
seed value is the same every time. How is it calculated? In my
unders
