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https://issues.apache.org/jira/browse/FLINK-1844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Till Rohrmann resolved FLINK-1844.
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Resolution: Fixed
Added via 73f99117f783a1f5c3ae67ade4716512b3ddfd66
> 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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