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US Patent 12061963 Automated machine learning pipeline exploration and deployment

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
120619630
Patent Inventor Names
Laurence Louis Eric Rouesnel0
Piali Das0
Orchid Majumder0
Tanya Bansal0
Stefano Stefani0
Patricia Grao Gil0
Leo Parker Dirac0
Vladimir Zhukov0
...
Date of Patent
August 13, 2024
0
Patent Application Number
183405610
Date Filed
June 23, 2023
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Patent Citations
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US Patent 10496653 Data workflow analysis service
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US Patent 11341367 Synthetic training data generation for machine learning
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US Patent 10572773 On the fly deep learning in machine learning for autonomous machines
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US Patent 11853401 Machine learning model creation via user-configured model building blocks
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US Patent 9218574 User interface for machine learning
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US Patent 10380504 Machine learning with distributed training
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Patent Primary Examiner
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Abdullahi E Salad
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CPC Code
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G06F 9/546
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G06F 9/5066
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G06N 20/20
0
Patent abstract

Techniques for automated machine learning (ML) pipeline exploration and deployment are described. An automated ML pipeline generation system allows users to easily construct optimized ML pipelines by providing a dataset, identifying a target column in the dataset, and providing an exploration budget. Multiple candidate ML pipelines can be identified and evaluated through an exploration process, and a best ML pipeline can be provided to the requesting user or deployed for production inference. Users can configure, monitor, and adapt the exploration at multiple points in time throughout.

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