[jira] [Updated] (SPARK-10408) Autoencoder

["Alexander Ulanov (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10408?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexander Ulanov updated SPARK-10408:
-------------------------------------
    Issue Type: Umbrella  (was: Improvement)

> Autoencoder
> -----------
>
>                 Key: SPARK-10408
>                 URL: https://issues.apache.org/jira/browse/SPARK-10408
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML
>    Affects Versions: 1.5.0
>            Reporter: Alexander Ulanov
>            Priority: Minor
>
> Goal: Implement various types of autoencoders 
> Requirements:
> 1)Basic (deep) autoencoder that supports different types of inputs: binary, real in [0..1]. real in [-inf, +inf]
> 2)Sparse autoencoder i.e. L1 regularization. It should be added as a feature to the MLP and then used here
> 3)Denoising autoencoder
> 4)Stacked autoencoder for pre-training of deep networks. It should support arbitrary network layers



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