Sorry for off-topic, have not foud specific MLLib forum/
Please, advise a good overview of using clustering algorithms to group
users according to user purchase and browsing history on a web site.
Thanks!
;
> -Dhdp.version=2.2.0.0–2041
>
>
> Please let me know whether it works or not.
>
> Thanks.
>
> Zhan Zhang
>
>
> On Apr 10, 2015, at 7:21 AM, Zork Sail wrote:
>
> Many thanks.
>
> Yet even after setting:
>
> spark.driver.extraJavaOptions -Dhdp
I have `Hadoop 2.6.0.2.2.0.0-2041` with `Hive 0.14.0.2.2.0.0-2041
`
After building Spark with command:
mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.6.0 -Phive
-Phive-thriftserver -DskipTests package
I try to run Pi example on YARN with the following command:
export HADOOP_CONF_DIR=/etc/had
I am trying to use Spark MLib ALS with implicit feedback for collaborative
filtering. Input data has only two fields `userId` and `productId`. I have
**no product ratings**, just info on what products users have bought,
that's all. So to train ALS I use:
def trainImplicit(ratings: RDD[Rating],
