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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 -- This message was sent by Atlassian JIRA (v6.3.4#6332)