at 1:38 AM, Nick Pentreath
wrote:
> Could you provide an example of what your input data looks like?
> Supporting missing values in a sparse result vector makes sense.
>
> On Tue, 19 Apr 2016 at 23:55, Andres Perez wrote:
>
>> Hi everyone. org.apache.spark.ml.feature.Vect
Hi everyone. org.apache.spark.ml.feature.VectorAssembler currently cannot
handle null values. This presents a problem for us as we wish to run a
decision tree classifier on sometimes sparse data. Is there a particular
reason VectorAssembler is implemented in this way, and can anyone recommend
the b
5 at 1:10 PM, Ted Yu wrote:
> bq. it seems like we never get to the clearActiveContext() call by the end
>
> Looking at stop() method, there is only one early return
> after stopped.compareAndSet() call.
> Is there any clue from driver log ?
>
> Cheers
>
> On Wed, Jul 29
Hi everyone. I'm running into an issue with SparkContexts when running on
Yarn. The issue is observable when I reproduce these steps in the
spark-shell (version 1.4.1):
scala> sc
res0: org.apache.spark.SparkContext = org.apache.spark.SparkContext@7b965dee
*Note the pointer address of sc.
(Then y
