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From "Faye Beligianni (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-1844) Add Normaliser to ML library
Date Wed, 08 Apr 2015 11:07:13 GMT
Faye Beligianni created FLINK-1844:
--------------------------------------

             Summary: 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


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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