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Increasing the capabilities of what is supported from PMML models will allow for more tools to be used when creating external models. This would be a functionality improvement for all customers that utilize the PMML functionality. Several of the packages used in standard modeling tools such as xgboost and sklearn2pmml in python use high number of decimals with float format instead of a double format with lower precision. Increase support of functionality from PMML models and a larger support of decimals will increase the capabilities and potentially allow for usage of higher performing models.
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