[jira] [Comment Edited] (MAHOUT-1426) GSOC 2013 Neural network algorithms

["Suneel Marthi (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-1426?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13911680#comment-13911680 ] 

Suneel Marthi edited comment on MAHOUT-1426 at 2/25/14 3:59 PM:
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The classifier.mlp is a supervised classifier based on Online learning training using SGD.  There are old JIRAs that had RBM implementation (not MapReduce)  - Mahout-968 and one for Autoencoders (MAhout-732). Both of which never made it to the codebase. 


was (Author: smarthi):
The classifier.mlp is a supercised classifier based on Online learning training using SGD.  There are old JIRAs that had RBM implementation (not MapReduce)  - Mahout-968 and one for Autoencoders (MAhout-732). Both of which never made it to the codebase. 

> GSOC 2013 Neural network algorithms
> -----------------------------------
>
>                 Key: MAHOUT-1426
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1426
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Classification
>            Reporter: Maciej Mazur
>
> I would like to ask about possibilites of implementing neural network algorithms in mahout during GSOC.
> There is a classifier.mlp package with neural network.
> I can't see neighter RBM  nor Autoencoder in these classes.
> There is only one word about Autoencoders in NeuralNetwork class.
> As far as I know Mahout doesn't support convolutional networks.
> Is it a good idea to implement one of these algorithms?
> Is it a reasonable amount of work?
> How hard is it to get GSOC in Mahout?
> Did anyone succeed last year?



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