公开(公告)号：US20230114013A1

公开(公告)日：2023-04-13

申请号：US17450670

申请日：2021-10-12

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Radu MARINESCU ,  Parikshit RAM

IPC: G06N20/00

Abstract: Tradeoffs, objectives, and one or more machine learning models are analyzed. One or more instantiated machine learning pipelines are generated based on the tradeoffs and objectives. A first instantiated machine learning pipeline is preferred compared to a second instantiated machine learning pipeline based on the plurality of tradeoffs and objectives.

公开(公告)号：US20230244752A1

公开(公告)日：2023-08-03

申请号：US17589092

申请日：2022-01-31

Applicant: International Business Machines Corporation

Inventor： Eliezer Segev WASSERKRUG ,  Orit DAVIDOVICH ,  Evgeny SHINDIN ,  Dharmashankar SUBRAMANIAN ,  Parikshit RAM

IPC: G06F17/17

CPC classification number: G06F17/17

Abstract: An example system includes a processor to receive historical data, a formal quality measure, a quality threshold, and a mathematical optimization model. At least part of the mathematical optimization model is generated from the historical data. The processor can measure a quality of the mathematical optimization model using the formal quality measure. The processor can then augment the mathematical optimization model such that the measured quality of the augmented mathematical optimization model exceeds the target quality threshold.