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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-1844) Add Normaliser to ML library
Date Thu, 21 May 2015 13:49:02 GMT

     [ https://issues.apache.org/jira/browse/FLINK-1844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Theodore Vasiloudis updated FLINK-1844:
---------------------------------------
    Labels: ML Starter  (was: ML)

> Add Normaliser to ML library
> ----------------------------
>
>                 Key: FLINK-1844
>                 URL: https://issues.apache.org/jira/browse/FLINK-1844
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Faye Beligianni
>            Assignee: Faye Beligianni
>            Priority: Minor
>              Labels: ML, Starter
>
> In many algorithms in ML, the features' values would be better to lie between a given
range of values, usually in the range (0,1) [1]. Therefore, a {{Transformer}} could be implemented
to achieve that normalisation.
> Resources: 
> [1][http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html]



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