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    • Sprint:
      2019 Week 41-43 (from Okt 7), 2019 Week 44-46 (from Okt 28), 2019 Week 47-49 (from Nov 18), 2019 Week 50-52 (from Dec 9), 2020 Week 01-03 (from Dec 30), 2020 Week 04-06 (from Jan 20)
    • Docs QE Status:
      NEW
    • QE Status:
      NEW

      Description

      Different PMML models might return results with a different structure.
      As an example, the Logistic Regression and Random Forest models will return respectively (for the Human Task unit test):

      approved=1, probability_0=0.10094993308676947, probability_1=0.8990500669132305, predicted_approved=1

      and

      approved=0.09591028567124724, predicted_approved=0.09591028567124724

      The common functionality of the PMML backend (loading models, validating models, evaluating arguments) should be abstracted into its own class.
      Users can then extend that class to parse the returned values.

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              • Assignee:
                rmvieira Rui Vieira
                Reporter:
                rmvieira Rui Vieira
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                • Created:
                  Updated:
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