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