[jira] [Updated] (FLINK-5588) Add a unit scaler based on different norms

["Stavros Kontopoulos (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-5588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Stavros Kontopoulos updated FLINK-5588:
---------------------------------------
    Description: 
So far ML has two scalers: min-max and the standard.
A third one frequently used, is the scaler to unit.
We could implement a transformer for this type of scaling for different norms available to the user.

Resources
[1] https://en.wikipedia.org/wiki/Feature_scaling

  was:
So far ML has two scalers: min-max and the standard.
A third one used is the scaler to unit.
We could implement a transformer for this type of scaling for different norms available to the user.

Resources
[1] https://en.wikipedia.org/wiki/Feature_scaling


> Add a unit scaler based on different norms
> ------------------------------------------
>
>                 Key: FLINK-5588
>                 URL: https://issues.apache.org/jira/browse/FLINK-5588
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Stavros Kontopoulos
>            Priority: Minor
>
> So far ML has two scalers: min-max and the standard.
> A third one frequently used, is the scaler to unit.
> We could implement a transformer for this type of scaling for different norms available to the user.
> Resources
> [1] https://en.wikipedia.org/wiki/Feature_scaling



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