Invention Grant
- Patent Title: Learning-augmented application deployment pipeline
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Application No.: US17739707Application Date: 2022-05-09
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Publication No.: US12248771B2Publication Date: 2025-03-11
- Inventor: Roli Agrawal , Bada Kim , Varun Nalamati , Laxmi Kadariya , Patrick Tirtapraja , Nicholas Sorkin , Frank Huang , Taylor Gaskins , Hasan Alatrakchi
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Foley & Lardner LLP
- Main IPC: G06F8/60
- IPC: G06F8/60 ; G06F11/30 ; G06F11/32 ; G06N3/045

Abstract:
A method includes providing a neural network with metrics obtained from an execution of an application in a test environment to determine rule-related weights, scaling rule results with the rule-related weights to determine scaled rule results. The method also includes re-training the neural network with the rule results of the application, an indication that the executed application is selected for deployment in the production environment, and rule results of other applications in the test environment in response to a determination that the scaled rule results fail a threshold but that the application is selected for deployment in a production environment. The method also includes providing the re-trained neural network with the rule results to generate updated rule-related weights and scaling the rule results by the updated rule-related weights to determine updated scaled rule results.
Public/Granted literature
- US20230359449A1 LEARNING-AUGMENTED APPLICATION DEPLOYMENT PIPELINE Public/Granted day:2023-11-09
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