Hi
I could run spark trunk code on top of yarn 2.0.5-alpha by
SPARK_JAR=./core/target/spark-core-assembly-0.8.0-SNAPSHOT.jar ./run
spark.deploy.yarn.Client \
--jar examples/target/scala-2.9.3/spark-examples_2.9.3-0.8.0-SNAPSHOT.jar \
--class spark.examples.SparkPi \
--args
Cool, thanks for doing this!
Matei
On Aug 16, 2013, at 11:27 AM, Parviz deyhim dey...@gmail.com wrote:
Amazon EMR now has the latest version of Spark 0.7.3 and Shark 0.7
Let me know if you have any questions.
Thanks,
Parviz
On Aug 15, 2013, at 7:13 PM, Lijie Xu csxuli...@gmail.com wrote:
3) MLBase may require Spark to provide some new features for implementing
some specific algorithms. Is there any? Or you have added some new
fundamental features which are not supported in Spark-0.7?
On this particular aspect,
Is anyone working on neural networks, ADM, Collaborative Filtering etc?
Thanks for your quick reply. I like the new features. There is another
related question about distributed ML.
How do you think about the architecutre of Google's deep learning (
http://www.cs.toronto.edu/~ranzato/publications/DistBeliefNIPS2012_withAppendix.pdf)?
It contains parameter server,