So I got the tip of trying to reduce step-size and that finally gave some
more decent results, had hoped for the default params to give at least OK
results and thought that the problem must be somewhere else in the code.
Problem solved!
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Hi,
I've written an application that performs some machine learning on some
data. I've validated that the data _should_ give a good output with a decent
RMSE by using Lib-SVM:
Mean squared error = 0.00922063 (regression)
Squared correlation coefficient = 0.9987 (regression)
When I try to use
on type-safety,
but I'm confused about how to create a branching pipeline using only
type-declarations.
Thanks,
Staffan
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this in a better way or
perhaps if there a higher level workflow tool that I can use on top of
Spark? (The cool solution would have been to use nestled RDDs and just map
over them in a high level way, but as this is not supported afaik).
Thanks!
Staffan
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http
To clarify: I'm currently working on this locally, running on a laptop and I
do not use Spark-submit (using Eclipse to run my applications currently).
I've tried running both on Mac OS X and in a VM running Ubuntu. Furthermore,
I've got the VM from a fellow worker which has no issues running his
Okay, I finally tried to change the Hadoop-client version from 2.4.0 to 2.5.2
and that mysteriously fixed everything..
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I'm using Maven and Eclipse to build my project. I'm letting Maven download
all the things I need for running everything, which has worked fine up until
now. I need to use the CDK library (https://github.com/egonw/cdk,
http://sourceforge.net/projects/cdk/) and once I add the dependencies to my
