This is the trace.
Conversion error: There was an error converting 'docs/cluster-overview.md
'.
/Users/dbtsai/.rbenv/versions/2.1.1/lib/ruby/gems/2.1.0/gems/jekyll-1.5.1/lib/jekyll/converters/markdown/maruku_parser.rb:45:in
`print_errors_and_fail': MaRuKu encountered problem(s) while
Hi guys,
I'm trying to update LBFGS documentation so I need to generate html
document to see if everything looks great. However, mv I get the following
error.
Conversion error: There was an error converting 'docs/cluster-overview.md'.
error: MaRuKu encountered problem(s) while converting your
Try doing “gem install kramdown”. The maruku gem for Markdown throws these
errors, but Kramdown doesn’t.
Matei
On Apr 22, 2014, at 11:31 PM, DB Tsai dbt...@dbtsai.com wrote:
This is the trace.
Conversion error: There was an error converting 'docs/cluster-overview.md
'.
Matei, thanks. It works with kramdown.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai
On Tue, Apr 22, 2014 at 11:38 PM, Matei Zaharia matei.zaha...@gmail.comwrote:
Try doing “gem install
Hello,
Is it possible in spark to reuse cached RDDs generated in earlier run?
Specifically, I am trying to have a setup where first scala script
generates cached RDDs. If another scala script tries to perform same
operations on same dataset, it should be able to get results from cache
generated
Huge joins would be interesting. I do all my demos on wikipedia dataset for
Shark. Joins are typical pain to showcase show off :)
Mayur Rustagi
Ph: +1 (760) 203 3257
http://www.sigmoidanalytics.com
@mayur_rustagi https://twitter.com/mayur_rustagi
On Wed, Apr 23, 2014 at 10:33 AM, Ajay Nair
hi, i have started one sharkserver2 , and using java code to send query
to this server by hive jdbc, but i got such error:
--
FAILED: Execution Error, return code -101 from shark.execution.SparkTask
org.apache.hive.service.cli.HiveSQLException: Error while processing
statement: FAILED:
Hi bearrito, this issue was fixed by Tor in
https://github.com/apache/spark/pull/407. You can either try the
master branch or wait for the 1.0 release. -Xiangrui
On Fri, Mar 28, 2014 at 12:19 AM, Xiangrui Meng men...@gmail.com wrote:
Hi bearrito,
This is a known issue
I have seen a similar error message when connecting to Hive through JDBC.
This is just a guess on my part, but check your query. The error occurs if
you have a select that includes a null literal with an alias like this:
select a, b, null as c, d from foo
In my case, rewriting the query to use
It would probably be best to retain support for SPARK_JAVA_OPTS in
ClientBase though..for developers that may have been using it.
On Wed, Apr 23, 2014 at 6:26 PM, Nishkam Ravi nr...@cloudera.com wrote:
Bit of a race condition here it seems. Patrick made a few changes
yesterday around the same
Hi all,
I'm benchmarking Logistic Regression in MLlib using the newly added
optimizer LBFGS and GD. I'm using the same dataset and the same methodology
in this paper, http://www.csie.ntu.edu.tw/~cjlin/papers/l1.pdf
I want to know how Spark scale while adding workers, and how optimizers and
input
What is the number of non zeroes per row (and number of features) in the sparse
case? We've hit some issues with breeze sparse support in the past but for
sufficiently sparse data it's still pretty good.
On Apr 23, 2014, at 9:21 PM, DB Tsai dbt...@stanford.edu wrote:
Hi all,
I'm
Sorry - just saw the 11% number. That is around the spot where dense data is
usually faster (blocking, cache coherence, etc) is there any chance you have a
1% (or so) sparse dataset to experiment with?
On Apr 23, 2014, at 9:21 PM, DB Tsai dbt...@stanford.edu wrote:
Hi all,
I'm
I don't think the attachment came through in the list. Could you upload the
results somewhere and link to them ?
On Wed, Apr 23, 2014 at 9:32 PM, DB Tsai dbt...@dbtsai.com wrote:
123 features per rows, and in average, 89% are zeros.
On Apr 23, 2014 9:31 PM, Evan Sparks evan.spa...@gmail.com
Any suggestion for sparser dataset? Will test more tomorrow in the office.
On Apr 23, 2014 9:33 PM, Evan Sparks evan.spa...@gmail.com wrote:
Sorry - just saw the 11% number. That is around the spot where dense data
is usually faster (blocking, cache coherence, etc) is there any chance you
have
On Wed, Apr 23, 2014 at 9:30 PM, Evan Sparks evan.spa...@gmail.com wrote:
What is the number of non zeroes per row (and number of features) in the
sparse case? We've hit some issues with breeze sparse support in the past
but for sufficiently sparse data it's still pretty good.
Any chance you
The figure showing the Log-Likelihood vs Time can be found here.
https://github.com/dbtsai/spark-lbfgs-benchmark/raw/fd703303fb1c16ef5714901739154728550becf4/result/a9a11M.pdf
Let me know if you can not open it.
Sincerely,
DB Tsai
---
My
Was the weight vector sparse? The gradients? Or just the feature vectors?
On Wed, Apr 23, 2014 at 10:08 PM, DB Tsai dbt...@dbtsai.com wrote:
The figure showing the Log-Likelihood vs Time can be found here.
ps, it doesn't make sense to have weight and gradient sparse unless
with strong L1 penalty.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai
On Wed, Apr 23, 2014 at 10:17 PM, DB Tsai
On Wed, Apr 23, 2014 at 10:18 PM, DB Tsai dbt...@dbtsai.com wrote:
ps, it doesn't make sense to have weight and gradient sparse unless
with strong L1 penalty.
Sure, I was just checking the obvious things. Have you run it through it a
profiler to see where the problem is?
Sincerely,
DB
Not yet since it's running in the cluster. Will run locally with
profiler. Thanks for help.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai
On Wed, Apr 23, 2014 at 10:22 PM, David Hall
The figure showing the Log-Likelihood vs Time can be found here.
https://github.com/dbtsai/spark-lbfgs-benchmark/raw/fd703303fb1c16ef5714901739154728550becf4/result/a9a11M.pdf
Let me know if you can not open it. Thanks.
Sincerely,
DB Tsai
---
thanks for sharing, my case is diffrent from yours,
i have set hive.server2.enable.doAs into false in hive-site.xml, then
that 101 error code disappeared.
2014-04-24 9:26 GMT+08:00 Madhu ma...@madhu.com:
I have seen a similar error message when connecting to Hive through JDBC.
This is
23 matches
Mail list logo
