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WO2025080271A3 - Automated feature-engineering-based machine learning model building and deployment - Google Patents

Automated feature-engineering-based machine learning model building and deployment

Info

Publication number
WO2025080271A3
WO2025080271A3 PCT/US2023/076781 US2023076781W WO2025080271A3 WO 2025080271 A3 WO2025080271 A3 WO 2025080271A3 US 2023076781 W US2023076781 W US 2023076781W WO 2025080271 A3 WO2025080271 A3 WO 2025080271A3
Authority
WO
WIPO (PCT)
Prior art keywords
model
feature
runtime
deployment
machine learning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/US2023/076781
Other languages
French (fr)
Other versions
WO2025080271A2 (en
Inventor
Tianyi Wang
Weizhong Yan
Zhanpan Zhang
Scott Charles Evans
Matthew Christian Nielsen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
GE Vernova Infrastructure Technology LLC
Original Assignee
GE Infrastructure Technology LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by GE Infrastructure Technology LLC filed Critical GE Infrastructure Technology LLC
Priority to PCT/US2023/076781 priority Critical patent/WO2025080271A2/en
Publication of WO2025080271A2 publication Critical patent/WO2025080271A2/en
Publication of WO2025080271A3 publication Critical patent/WO2025080271A3/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/60—Software deployment
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/40—Transformation of program code
    • G06F8/41—Compilation

Landscapes

  • Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Stored Programmes (AREA)
  • Feedback Control In General (AREA)

Abstract

A system associated with Machine Learning ("ML") models may include a ML model building platform to perform feature-engineering based on historical industrial time-series data. The ML model building platform may create a ML model based on selected features and output information about the ML model. A model deployment engine may extract required features associated with the ML model and automatically create, via a feature configuration compiler, feature runtime configurations based on the required features associated with the ML model. The model deployment engine may then generate at least one deployable object based on the generated feature runtime configurations and the ML model. In some embodiments, a model runtime deployment platform can then perform on-demand feature calculations based on the feature runtime configurations, execute the ML model based on industrial runtime data, and generate model output.
PCT/US2023/076781 2023-10-13 2023-10-13 Automated feature-engineering-based machine learning model building and deployment Pending WO2025080271A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/US2023/076781 WO2025080271A2 (en) 2023-10-13 2023-10-13 Automated feature-engineering-based machine learning model building and deployment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2023/076781 WO2025080271A2 (en) 2023-10-13 2023-10-13 Automated feature-engineering-based machine learning model building and deployment

Publications (2)

Publication Number Publication Date
WO2025080271A2 WO2025080271A2 (en) 2025-04-17
WO2025080271A3 true WO2025080271A3 (en) 2025-09-04

Family

ID=95395197

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/076781 Pending WO2025080271A2 (en) 2023-10-13 2023-10-13 Automated feature-engineering-based machine learning model building and deployment

Country Status (1)

Country Link
WO (1) WO2025080271A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210019665A1 (en) * 2019-07-18 2021-01-21 International Business Machines Corporation Machine Learning Model Repository Management and Search Engine
US20210173642A1 (en) * 2019-12-10 2021-06-10 Cognizant Technology Solutions India Pvt. Ltd. System and method for optimizing software quality assurance during software development process
KR20220028096A (en) * 2019-06-28 2022-03-08 삼성전자주식회사 Method and apparatus for managing neural network models
US20220138621A1 (en) * 2020-11-04 2022-05-05 Capital One Services, Llc System and method for facilitating a machine learning model rebuild
WO2023091624A1 (en) * 2021-11-21 2023-05-25 Schlumberger Technology Corporation Machine learning model deployment, management and monitoring at scale

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220028096A (en) * 2019-06-28 2022-03-08 삼성전자주식회사 Method and apparatus for managing neural network models
US20210019665A1 (en) * 2019-07-18 2021-01-21 International Business Machines Corporation Machine Learning Model Repository Management and Search Engine
US20210173642A1 (en) * 2019-12-10 2021-06-10 Cognizant Technology Solutions India Pvt. Ltd. System and method for optimizing software quality assurance during software development process
US20220138621A1 (en) * 2020-11-04 2022-05-05 Capital One Services, Llc System and method for facilitating a machine learning model rebuild
WO2023091624A1 (en) * 2021-11-21 2023-05-25 Schlumberger Technology Corporation Machine learning model deployment, management and monitoring at scale

Also Published As

Publication number Publication date
WO2025080271A2 (en) 2025-04-17

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