This class was introduced in Servlet 3.0. We have in the dependency
tree some references to Servlet 2.5 and Servlet 3.0. The latter is a
superset of the former. So we standardized on depending on Servlet
3.0.
At least, that seems to have been successful in the Maven build, but
this is just
+1
Built and tested locally on Mac OS X
Built and tested on AWS Ubuntu, with and without Hive support
Ran production jobs including MLlib and SparkSQL/HiveContext successfully
On Wed, May 28, 2014 at 1:09 AM, Holden Karau hol...@pigscanfly.ca wrote:
+1 (I did some very basic testing with
I searched on this, but didn't find anything general so I apologize if this
has been addressed.
Many algorithms (SGD, SVM...) either will not converge or will run forever
if the data is not scaled. Sci-kit has preprocessing
+1
I made the necessary interface changes to my apps that use MLLib and tested all
of my code against rc11 on Fedora 20 and OS X 10.9.3. (The Fedora Rawhide
package remains at 0.9.1 pending some additional dependency packaging work.)
best,
wb
- Original Message -
From: Tathagata
NOTICE and LICENSE files look good
Signatures look good.
Hashes look good
No external executables in the source distributions
Source compiled with sbt
Run local and standalone examples look good.
+1
- Henry
On Mon, May 26, 2014 at 7:38 AM, Tathagata Das
tathagata.das1...@gmail.com wrote:
I'm looking to reuse the LogisticRegression model (with SGD) to predict a
real-valued outcome variable. (I understand that logistic regression is
generally applied to predict binary outcome, but for various reasons, this
model suits our needs better than LinearRegression). Related to that I have
Pulled down, compiled, and tested examples on OS X and ubuntu.
Deployed app we are building on spark and poured data through it.
+1
Sean
On May 26, 2014, at 8:39 AM, Tathagata Das tathagata.das1...@gmail.com wrote:
Please vote on releasing the following candidate as Apache Spark version
Friends,
For context (so to speak), I did some work in the 0.9 timeframe to fix
SPARK-897 (provide immediate feedback when closures aren't serializable) and
SPARK-729 (make sure that free variables in closures are captured when the RDD
transformations are declared).
I currently have a branch
This is an interesting approach, Nilesh!
Someone will correct me if I'm wrong, but I don't think this could go into
ClosureCleaner as a default behavior (since Kryo apparently breaks on some
classes that depend on custom Java serializers, as has come up on the list
recently). But it does seem
+1. Tested spark on yarn (cluster mode, client mode, pyspark, spark-shell) on
hadoop 0.23 and 2.4.
Tom
On Wednesday, May 28, 2014 3:07 PM, Sean McNamara sean.mcnam...@webtrends.com
wrote:
Pulled down, compiled, and tested examples on OS X and ubuntu.
Deployed app we are building on spark
Please find my comments inline. -Xiangrui
On Wed, May 28, 2014 at 11:18 AM, Bharath Ravi Kumar
reachb...@gmail.com wrote:
I'm looking to reuse the LogisticRegression model (with SGD) to predict a
real-valued outcome variable. (I understand that logistic regression is
generally applied to
RowMatrix has a method to compute column summary statistics. There is
a trade-off here because centering may densify the data. A utility
function that centers data would be useful for dense datasets.
-Xiangrui
On Wed, May 28, 2014 at 5:03 AM, dataginjaninja
rickett.stepha...@gmail.com wrote:
I
+1
Tested apps with standalone client mode and yarn cluster and client modes.
Xiangrui
On Wed, May 28, 2014 at 1:07 PM, Sean McNamara
sean.mcnam...@webtrends.com wrote:
Pulled down, compiled, and tested examples on OS X and ubuntu.
Deployed app we are building on spark and poured data through
+1
On May 28, 2014 7:05 PM, Xiangrui Meng men...@gmail.com wrote:
+1
Tested apps with standalone client mode and yarn cluster and client modes.
Xiangrui
On Wed, May 28, 2014 at 1:07 PM, Sean McNamara
sean.mcnam...@webtrends.com wrote:
Pulled down, compiled, and tested examples on OS X
Bharath, (apologies if you're already familiar with the theory): the
proposed approach may or may not be appropriate depending on the overall
transfer function in your data. In general, a single logistic regressor
cannot approximate arbitrary non-linear functions (of linear combinations
of the
+1
Pulled built on MacOS X, EC2 Amazon Linux
Ran test programs on OS X, 5 node c3.4xlarge cluster
Cheers
k/
On Wed, May 28, 2014 at 7:36 PM, Andy Konwinski andykonwin...@gmail.comwrote:
+1
On May 28, 2014 7:05 PM, Xiangrui Meng men...@gmail.com wrote:
+1
Tested apps with standalone
Sometimes for this case, I will just standardize without centerization. I
still get good result.
Sent from my Google Nexus 5
On May 28, 2014 7:03 PM, Xiangrui Meng men...@gmail.com wrote:
RowMatrix has a method to compute column summary statistics. There is
a trade-off here because centering
+1
Built -Pyarn -Phadoop-2.3 -Dhadoop.version=2.3.0
Ran current version of one of my applications on 1-node pseudocluster
(sorry, unable to test on full cluster).
yarn-cluster mode
Ran regression tests.
Thanks
Kevin
On 05/28/2014 09:55 PM, Krishna Sankar wrote:
+1
Pulled built on MacOS X,
18 matches
Mail list logo
