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US Patent 11983384 User interface for machine learning feature engineering studio

Patent 11983384 was granted and assigned to Kaskada on May, 2024 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
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Kaskada
1
Current Assignee
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Kaskada
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
119833841
Patent Inventor Names
Emily Kruger1
Andrew Concordia1
Benjamin Chambers1
Ryan Michael1
Davor Bonaci1
Corinne DiGiovanni1
Date of Patent
May 14, 2024
1
Patent Application Number
175764021
Date Filed
January 14, 2022
1
Patent Citations
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US Patent 10719301 Development environment for machine learning media models
1
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US Patent 10216558 Predicting drive failures
1
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US Patent 11468364 Determining impact of features on individual prediction of machine learning based models
1
Patent Primary Examiner
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Anil K Bhargava
1
CPC Code
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G06N 20/00
1
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G06F 3/0482
1
Patent abstract

A machine learning feature studio comprises a user interface configured to allow a user to define features associated with an entity. The features are calculated using historical or real-time data stored in an event store and associated with the entity. Visualizations and values of the calculated feature are displayed in the user interface and the user may interact with the features, such as to edit and compare them. The user commits the features to the project associated with a machine learning model and selects to export the project. Feature vectors may are calculated using the committed features and are exported to a production environment.

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