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  1. Spark
  2. SPARK-7690

MulticlassClassificationEvaluator for tuning Multiclass Classifiers

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    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.5.0
    • Component/s: ML
    • Labels:
      None
    • Target Version/s:

      Description

      Provide a MulticlassClassificationEvaluator with weighted F1-score to tune multiclass classifiers using Pipeline API.
      MLLib already provides a MulticlassMetrics functionality which can be wrapped around a MulticlassClassificationEvaluator to expose weighted F1-score as metric.
      The functionality could be similar to scikit(http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) in that we can support micro, macro and weighted versions of the F1-score (with weighted being default)

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            • Assignee:
              rams Ram Sriharsha
              Reporter:
              rams Ram Sriharsha
              Shepherd:
              Joseph K. Bradley

              Dates

              • Created:
                Updated:
                Resolved:

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