Hi Sebastian,
would you post the full stack trace?
would you go to Spark master and look into more detailed Spark log of the
failure? it may give more hint where in engine code trigger the null
pointer exception
You could also follow here to debug and see if the data is imported as
expected, or
Hi,
As much as I can understand from the error message, the Null Exception
happens when you have wrong data or no data at all. Please make sure
everything is fine in your data.
Sometimes, the event store can store the data you provide, but the template
you might be using may need other kind of da
Hi Sebastian,
Yes, you need to provide the whole transaction data, not the product and
user as much as I know, but not sure if that it works too. Normally you
post a transection data, and when you have to tell more about the user
(like: the purchased address, device, category) or about the product
Hey Keneth
Thank for the answer.
I’managed to import the following data:
After running „pio build“ i get the following error during the „pio train“
process:
[ERROR] [Executor] Exception in task 0.0 in stage 3.0 (TID 9)
[WARN] [TaskSetManager] Lost task 0.0 in stage 3.0 (TID 9, localhost):
ja
see here
https://spark.apache.org/docs/latest/mllib-ensembles.html#prediction
you can ask in Apache Spark's mailing list too.
On Fri, Jun 30, 2017 at 4:09 AM, Pat Ferrel wrote:
> You probably should ask on PredictionIO mailing list.
>
> Signup here: http://predictionio.incubator.apache.org/supp
thomas, if you always your own data store backend for events or your
application data, you don't have to use EventServer. Just implement a PIO
engine which directly reads from your data source.
On Thu, Jul 6, 2017 at 7:32 AM, Pat Ferrel wrote:
> The EventStore is queryable in flexible ways and
re: " i’m always getting an exception with the initial load from User &
Product"
what's the error you got?
On Fri, Jul 7, 2017 at 12:46 PM, Sebastian Fix
wrote:
> Hello together,
>
> I finally got the System running and would like to import some initial
> data now.
>
> I’m using the E-Commerce-T
re: "bundling event server as engine"
depending on how we wanna separate the concern.
the way i look at it is decouple 1, data collection service (PIO event
server) and 2. modeling and prediction service (PIO engine) - that's the
separation of concern.
Ideally data is agnostic to engine, and sho
# re: " I see it as objects you see it as data stores"
not really. I see things based on what functionality and purpose it
provides. like you mentioned - The way Elasticseach is used in UR is part
of the model and where the algorithm write the computation result into and
then used as serving. In a
