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https://issues.apache.org/jira/browse/HAMA-681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13673763#comment-13673763
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Edward J. Yoon commented on HAMA-681:
-------------------------------------
Unfortunately, build fails with some unit tests fails. Could you please check
this? (some file missed license headers).
{code}
Tests run: 11, Failures: 2, Errors: 0, Skipped: 0
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Hama parent POM ............................ SUCCESS [5.082s]
[INFO] core .............................................. SUCCESS [3:28.851s]
[INFO] graph ............................................. SUCCESS [25.043s]
[INFO] machine learning .................................. FAILURE [28.648s]
[INFO] examples .......................................... SKIPPED
[INFO] yarn .............................................. SKIPPED
[INFO] hama-dist ......................................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 4:28.855s
[INFO] Finished at: Tue Jun 04 07:45:57 KST 2013
[INFO] Final Memory: 60M/257M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal
org.apache.maven.plugins:maven-surefire-plugin:2.6:test (default-test) on
project hama-ml: There are test failures.
[ERROR]
[ERROR] Please refer to
/home/edward/workspace/hama-trunk/ml/target/surefire-reports for the individual
test results.
[ERROR] -> [Help 1]
[ERROR]
{code}
Once fixed, let's commit this patch to the TRUNK.
> Multi Layer Perceptron
> -----------------------
>
> Key: HAMA-681
> URL: https://issues.apache.org/jira/browse/HAMA-681
> Project: Hama
> Issue Type: New Feature
> Components: machine learning
> Reporter: Christian Herta
> Assignee: Yexi Jiang
> Labels: patch, perceptron
> Attachments: HAMA-681.patch, perception.patch
>
>
> Implementation of a Multilayer Perceptron (Neural Network)
> - Learning by Backpropagation
> - Distributed Learning
> The implementation should be the basis for the long range goals:
> - more efficent learning (Adagrad, L-BFGS)
> - High efficient distributed Learning
> - Autoencoder - Sparse (denoising) Autoencoder
> - Deep Learning
>
> ---
> Due to the overhead of Map-Reduce(MR) MR didn't seem to be the best strategy
> to distribute the learning of MLPs.
> Therefore the current implementation of the MLP (see MAHOUT-976) should be
> migrated to Hama. First all dependencies to Mahout (Matrix-Library) must be
> removed to get a standalone MLP Implementation. Then the Hama BSP programming
> model should be used to realize distributed learning.
> Different strategies of efficient synchronized weight updates has to be
> evaluated.
> Resources:
> Videos:
> - http://www.youtube.com/watch?v=ZmNOAtZIgIk
> - http://techtalks.tv/talks/57639/
> MLP and Deep Learning Tutorial:
> - http://www.stanford.edu/class/cs294a/
> Scientific Papers:
> - Google's "Brain" project:
> http://research.google.com/archive/large_deep_networks_nips2012.html
> - Neural Networks and BSP: http://ipdps.cc.gatech.edu/1998/biosp3/bispp4.pdf
> - http://jmlr.csail.mit.edu/papers/volume11/vincent10a/vincent10a.pdf
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