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Title:
AUTOMATED MACHINE LEARNING MODEL DEPLOYMENT
Document Type and Number:
WIPO Patent Application WO/2024/060690
Kind Code:
A1
Abstract:
Using exported data of a machine learning model and a model training environment specification, a resource usage specification and a code module usage specification of the model are identified. A code module installation specification is determined from a code module requirements specification and a target execution environment specification. The code modules specified by the code module installation specification are caused to be installed in the target execution environment. Using data of the updated target execution environment, the updated target execution environment is validated for execution of the model. Execution of the model in the updated target execution environment is simulated. The model is deployed in the updated target execution environment responsive to the simulating being successful.

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Inventors:
PATEL DHAVALKUMAR C (US)
Application Number:
PCT/CN2023/098838
Publication Date:
March 28, 2024
Filing Date:
June 07, 2023
Export Citation:
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Assignee:
IBM (US)
IBM CHINA CO LTD (CN)
International Classes:
G06F8/61; G06N20/00
Foreign References:
US10803392B12020-10-13
CN109034394A2018-12-18
CN112947960A2021-06-11
CN114565102A2022-05-31
US20160148115A12016-05-26
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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