Memory depends on your data and the engine you are using. Spark puts all data
into memory across the Spark cluster so if that is one machine, 4g will not
allow more than toy or example data. Remember that PIO and Machine Learning in
general works best with big data.
BTW my laptop has 16g and I
PIO-0.12.0 by default, compiles and runs expecting ES5. If you are upgrading
(not installing from clean) you will have an issue because ES1 indexes are not
upgradable in any simple way. The simplest way to upgrade to pio-0.12.0 and ES5
is to do `pio export` to backup BEFORE upgrading—so export w
I would usually use at least 4GB just to be safe. If you are not looking to
customize PIO itself, you may download pre-built binaries (which is
available starting 0.12.0-incubating) from
https://www.apache.org/dyn/closer.cgi/incubator/predictionio/0.12.0-incubating/apache-predictionio-0.12.0-incuba
2017-10-18 19:21 GMT+02:00 Donald Szeto :
> Looks like an out-of-memory issue here. How much memory does the build
> environment has?
>
A virtual server with 1GB in DigitalOcean . A system with 2GB of RAM would
be enough?
>
> On Wed, Oct 18, 2017 at 10:08 AM, Luciano Andino <
> lucianoandino
Looks like an out-of-memory issue here. How much memory does the build
environment has?
On Wed, Oct 18, 2017 at 10:08 AM, Luciano Andino wrote:
> Hello, this is my first post in email list. I am trying to install
> environment but I have some problem in "compiler-interface" for Scala.
> I have K
Hello, this is my first post in email list. I am trying to install
environment but I have some problem in "compiler-interface" for Scala.
I have KEYS file and source. Java version is "1.8.0_151".
luciano@localhost:~/predic$ gpg --import KEYS
gpg: key D3541808: "Suneel Marthi (CODE SIGNING KEY) "
It is the UR so Events are taken from the EventStore and converted into a
Mahout DistributedRowMatrix of RandomAccessSparseVectors, which are both
serializable. This path works fine and has for several years.
This must be a config problem, like not using the MahoutKryoRegistrator, which
registe
Chiming in a bit. Looking at the serialization error, it looks like we are
just one little step away from getting this to work.
Noelia, what does your synthesized data look like? All data that is
processed by Spark needs to be serializable. At some point, a
non-serializable vector object showing i
Hey Noelia,
Since you are using PIO 0.11 you may want to use the previous template
version that was targeted for PIO 0.11. The latest version is targeted to
0.12’s default stack, which is Scala 2.11.
The only difference between these two template versions is targeting
different PIO versions. Ther
Hi all,
Seeing as I couldn't get the UR template to work I decided to try my luck
with other templates. I have now tried with the Recommendation template as
downloaded from:
https://github.com/apache/incubator-predictionio-template-recommender
I'm using basically the same setup as before:
predi
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