PREDICTION ENHANCEMENT FOR CLASSIFICATION MODELS

    公开(公告)号:US20240054358A1

    公开(公告)日:2024-02-15

    申请号:US17885963

    申请日:2022-08-11

    Applicant: SAP SE

    CPC classification number: G06N5/022

    Abstract: Systems and methods provide reception of an identifier of a machine learning classification model and a prediction generated by the machine learning classification model, identification of model configuration data associated with the machine learning classification model, modification of the prediction based on the model configuration data to generate an enhanced prediction comprising calibrated probabilities, and returning of the enhanced prediction.

    PROVIDING DATA FROM A DIRECTED GRAPH TO A LANGUAGE MODEL

    公开(公告)号:US20240411787A1

    公开(公告)日:2024-12-12

    申请号:US18632864

    申请日:2024-04-11

    Applicant: SAP SE

    Abstract: A method, a system and a computer program for providing data from a directed graph to a language model are provided. The method comprises defining a plurality of conditions and a plurality of patterns, wherein each of the conditions has at least one corresponding pattern. The method further comprises receiving a subset of the directed graph, wherein the subset of the directed graph includes a plurality of statements, wherein each of the statements includes a subject, an object and a predicate relating the subject to the object. The method further comprises for each of the statements in the subset of the directed graph, performing the following: when one of the conditions matches a respective statement and the pattern corresponding to the condition can be applied to the respective statement, computing a string from the respective statement using the pattern.

Patent Agency Ranking