Sap Se

Business Objects Software Limited

Nicolas Dulian

Laya Ouologuem

Jacques Doan Huu

Alan McShane

Erik P Marcade

Ahmed Abdelrahman

Fadi Maali

Milena Caires

Bertrand Vial

Bertrand Lamy

Jaques Doan Huu

Antoine Carme

Provided are systems and methods for generating an agnostic data structure that stores debriefing information for a predictive model. In one example, the method may include receiving training data of a predictive program having a model type from among a plurality of different model types, identifying values of generic debriefing information from the training data which is generic among the different model types and values of semantic debriefing information from the training data which is unique to the model type of the received predictive program from among the plurality of different model types, extracting the values of the generic debriefing information and the values of the semantic debriefing information, and storing the values of the generic debriefing information and the semantic debriefing information within an agnostic debriefing data structure.

Agnostic data structure for debriefing predictive software

Techniques are described for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by the data platform to train a predictive model based on the input training dataset by delegating one or more data processing operations to a plurality of nodes across the data platform.

Predictive modeling optimization

Growing community of inventors

Houilles, France

Nicolas Dulian