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US Patent 10417577 Machine learning system interface

Patent 10417577 was granted and assigned to Facebook on September, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Facebook
Facebook
Current Assignee
Facebook
Facebook
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10417577
Date of Patent
September 17, 2019
Patent Application Number
14732501
Date Filed
June 5, 2015
Patent Citations Received
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US Patent 11475374 Techniques for automated self-adjusting corporation-wide feature discovery and integration
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US Patent 11501200 Generate alerts while monitoring a machine learning model in real time
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US Patent 11861470 Simplistic machine learning model generation tool for predictive data analytics
0
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US Patent 11922315 Neural adapter for classical machine learning (ML) models
0
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US Patent 12093642 Method and system for conditioned generation of descriptive commentary for quantitative data
0
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US Patent 11537506 System for visually diagnosing machine learning models
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US Patent 11238377 Techniques for integrating segments of code into machine-learning model
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US Patent 11556862 Techniques for adaptive and context-aware automated service composition for machine learning (ML)
...
Patent Primary Examiner
‌
Wilbert L. Starks, Jr.
Patent abstract

Some embodiments include an experiment management interface for a machine learning system. The experiment management interface can manage one or more workflow runs related to building or testing machine learning models. The experiment management interface can receive an experiment initialization command to create a new experiment associated with a new workflow. A workflow can be represented by an interdependency graph of one or more data processing operators. The experiment management interface enables definition of the new workflow from scratch or by cloning and modifying an existing workflow. The workflow can define a summary format for its inputs and outputs. In some embodiments, the experiment management interface can automatically generate a comparative visualization at the conclusion of running the new workflow based on an input schema or an output schema of the new workflow.

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