It has been pretty evident for some time that's what it is, hasn't it?
Yes that's a better name IMO.
On Mon, Jan 26, 2015 at 2:18 PM, Reynold Xin r...@databricks.com wrote:
Hi,
We are considering renaming SchemaRDD - DataFrame in 1.3, and wanted to
get the community's opinion.
The context
Thanks.
let me check this hypothesis (i have dhcp connection on a private net but
consequently not sure if there's an inverse).
On Thu, Aug 7, 2014 at 10:29 AM, Madhu ma...@madhu.com wrote:
How long does it take to get a spark context?
I found that if you don't have a network connection
Hello,
I 've been switching Mahout from Spark 0.9 to Spark 1.0.x [1] and noticed
that tests now run much slower compared to 0.9 with CPU running idle most
of the time. I had to conclude that most of that time is spent on tearing
down/resetting Spark context which apparently now takes
it would seem the code like
import o.a.spark.SparkContext._
import math._
a = log(b)
does not seem to compile anymore with Spark 1.0.x since SparkContext._ also
exposes a `log` function. Which happens a lot to a guy like me.
obvious workaround is to use something like
import
Hector, could you share the references for hierarchical K-means? thanks.
On Tue, Jul 8, 2014 at 1:01 PM, Hector Yee hector@gmail.com wrote:
I would say for bigdata applications the most useful would be hierarchical
k-means with back tracking and the ability to support k nearest centroids.
especially
over billions of users.
On Tue, Jul 8, 2014 at 1:24 PM, Dmitriy Lyubimov dlie...@gmail.com
wrote:
Hector, could you share the references for hierarchical K-means? thanks.
On Tue, Jul 8, 2014 at 1:01 PM, Hector Yee hector@gmail.com wrote:
I would say for bigdata
On Mon, May 12, 2014 at 2:47 PM, Anand Avati av...@gluster.org wrote:
Hi,
Can someone share the reason why Kryo serializer is not the default?
why should it be?
On top of it, the only way to serialize a closure into the backend (even
now) is java serialization (which means java serialization
