[jira] [Comment Edited] (SPARK-10408) Autoencoder

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

    [ https://issues.apache.org/jira/browse/SPARK-10408?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14726423#comment-14726423 ] 

Alexander Ulanov edited comment on SPARK-10408 at 9/1/15 11:54 PM:
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Added implementation for (1) that is basic deep autoencoder https://github.com/avulanov/spark/tree/autoencoder-mlp (https://github.com/avulanov/spark/blob/ann-auto-rbm-mlor/mllib/src/main/scala/org/apache/spark/mllib/ann/Autoencoder.scala)


was (Author: avulanov):
Added implementation for (1) that is basic deep autoencoder https://github.com/avulanov/spark/tree/autoencoder-mlp

> 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: 
> References: 
> 1-3. http://machinelearning.wustl.edu/mlpapers/paper_files/ICML2011Rifai_455.pdf
> 4. http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2006_739.pdf



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