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Posted to issues@flink.apache.org by "Till Rohrmann (JIRA)" <ji...@apache.org> on 2015/06/04 11:10:39 UTC

[jira] [Created] (FLINK-2157) Create evaluation framework for ML library

Till Rohrmann created FLINK-2157:
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             Summary: Create evaluation framework for ML library
                 Key: FLINK-2157
                 URL: https://issues.apache.org/jira/browse/FLINK-2157
             Project: Flink
          Issue Type: New Feature
          Components: Machine Learning Library
            Reporter: Till Rohrmann


Currently, FlinkML lacks means to evaluate the performance of trained models. It would be great to add some {{Evaluators}} which can calculate some score based on the information about true and predicted labels. This could also be used for the cross validation to choose the right hyper parameters.

Possible scores could be F score [1], zero-one-loss score, etc.

Resources
[1] [http://en.wikipedia.org/wiki/F1_score]



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