Details

      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.

        Gliffy Diagrams

          Attachments

            Activity

              People

              • Assignee:
                rmvieira Rui Vieira
                Reporter:
                rmvieira Rui Vieira
              • Votes:
                0 Vote for this issue
                Watchers:
                1 Start watching this issue

                Dates

                • Created:
                  Updated: