Invention Grant
- Patent Title: Cross in-database machine learning
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Application No.: US17964490Application Date: 2022-10-12
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Publication No.: US11755896B2Publication Date: 2023-09-12
- Inventor: Marco Antonio Carniel Furlanetto , Alessandro Parolin , Cristiano Ruschel Marques Dias , Alejandro Salinger
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: SCHWEGMAN LUNDBERG & WOESSNER, P.A.
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00 ; G06N3/063 ; G06F18/214 ; G06F18/243 ; G06F16/2458

Abstract:
In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.
Public/Granted literature
- US20230030608A1 CROSS IN-DATABASE MACHINE LEARNING Public/Granted day:2023-02-02
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