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From "Joanne Shin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-6125) Custom Loss function
Date Tue, 03 Mar 2015 03:23:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6125?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joanne Shin updated SPARK-6125:
-------------------------------
    Description: Currently, there are only a small selection of loss functions available for
the SGD solver in MLlib. Is there anyway to implement an L1 AND L2 regularizer or a way to
use a custom loss function?  (was: Currently, there are only a finite number of loss functions
available for the SGD solver in MLlib. Is there anyway to implement an L1 AND L2 regularizer
or a way to use a custom loss function?)

> Custom Loss function
> --------------------
>
>                 Key: SPARK-6125
>                 URL: https://issues.apache.org/jira/browse/SPARK-6125
>             Project: Spark
>          Issue Type: Question
>          Components: MLlib
>    Affects Versions: 1.2.1
>            Reporter: Joanne Shin
>              Labels: features, newbie
>
> Currently, there are only a small selection of loss functions available for the SGD solver
in MLlib. Is there anyway to implement an L1 AND L2 regularizer or a way to use a custom loss
function?



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