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US Patent 12061963 Automated machine learning pipeline exploration and deployment

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
120619631
Patent Inventor Names
Laurence Louis Eric Rouesnel1
Piali Das1
Orchid Majumder1
Tanya Bansal1
Stefano Stefani1
Patricia Grao Gil1
Leo Parker Dirac1
Vladimir Zhukov1
...
Date of Patent
August 13, 2024
1
Patent Application Number
183405611
Date Filed
June 23, 2023
1
Patent Citations
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US Patent 10496653 Data workflow analysis service
1
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US Patent 11341367 Synthetic training data generation for machine learning
1
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US Patent 10572773 On the fly deep learning in machine learning for autonomous machines
1
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US Patent 11853401 Machine learning model creation via user-configured model building blocks
1
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US Patent 9218574 User interface for machine learning
1
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US Patent 10380504 Machine learning with distributed training
1
Patent Primary Examiner
‌
Abdullahi E Salad
1
CPC Code
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G06F 9/546
1
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G06F 9/5066
1
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G06N 20/20
1
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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