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From "Karol Grzegorczyk (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAHOUT-1557) Add support for sparse training vectors in MLP
Date Fri, 23 May 2014 13:14:02 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-1557?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Karol Grzegorczyk updated MAHOUT-1557:
--------------------------------------

    Fix Version/s: 1.0

> Add support for sparse training vectors in MLP
> ----------------------------------------------
>
>                 Key: MAHOUT-1557
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1557
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Classification
>            Reporter: Karol Grzegorczyk
>            Priority: Minor
>              Labels: mlp
>             Fix For: 1.0
>
>         Attachments: mlp_sparse.diff
>
>
> When the number of input units of MLP is big, it is likely that input vector will be
sparse. It should be possible to read input files in a sparse format.



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