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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/31 01:02:04 UTC

[jira] [Created] (SPARK-9493) Chain logistic regression with isotonic regression under the pipeline API

Xiangrui Meng created SPARK-9493:
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             Summary: Chain logistic regression with isotonic regression under the pipeline API
                 Key: SPARK-9493
                 URL: https://issues.apache.org/jira/browse/SPARK-9493
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 1.5.0
            Reporter: Xiangrui Meng
            Assignee: Xiangrui Meng


One use case of isotonic regression is to calibrate the probabilities output by logistic regression. We should make this easier in the pipeline API.



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