The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 14, 2024

Filed:

Jan. 14, 2022
Applicant:

Kaskada, Inc., Seattle, WA (US);

Inventors:

Davor Bonaci, Seattle, WA (US);

Benjamin Chambers, Seattle, WA (US);

Andrew Concordia, Seattle, WA (US);

Corinne DiGiovanni, Seattle, WA (US);

Emily Kruger, Seattle, WA (US);

Ryan Michael, Seattle, WA (US);

Assignee:

Kaskada, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0482 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 3/0482 (2013.01); G06N 20/00 (2019.01);
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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