1:27 AM, Ascot Moss wrote:
>> > Hi,
>> >
>> > spark: 1.6.1
>> > java: java 1.8_u40
>> > I tried random forest training phase, the same code works well if with
>> > 20
>> > trees (lower accuracy, about 68%). When trying the traini
(lower accuracy, about 68%). When trying the training phase with
> more
> > tree, I set to 200 trees, it returned:
> >
> > "DAGScheduler: Job 20 finished: collectAsMap at DecisionTree.scala:651,
> took
> > 19.556700 s Killed" . There is no WARN or ERROR fr
h more
> tree, I set to 200 trees, it returned:
>
> "DAGScheduler: Job 20 finished: collectAsMap at DecisionTree.scala:651, took
> 19.556700 s Killed" . There is no WARN or ERROR from console, the task is
> just stopped in the end.
>
> Any idea how to resolve it? Sho
00 trees, it returned:
>
> "DAGScheduler: Job 20 finished: collectAsMap at DecisionTree.scala:651,
> took 19.556700 s Killed" . There is no WARN or ERROR from console, the
> task is just stopped in the end.
>
> Any idea how to resolve it? Should the timeout parameter be
Hi,
spark: 1.6.1
java: java 1.8_u40
I tried random forest training phase, the same code works well if with 20
trees (lower accuracy, about 68%). When trying the training phase with
more tree, I set to 200 trees, it returned:
"DAGScheduler: Job 20 finished: collectAsMap at DecisionTree.scal
