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:
Jun. 24, 2025

Filed:

Apr. 28, 2021
Applicant:

Alteryx, Inc., Irvine, CA (US);

Inventors:

James Max Kanter, Boston, MA (US);

Kalyan Kumar Veeramachaneni, Watertown, MA (US);

Assignee:

Alteryx, Inc., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/20 (2023.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 18/285 (2023.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
Abstract

A machine learning application is selected from a plurality of machine learning applications. Each machine learning application corresponds to a different industry problem and includes standard features and machine learning pipelines specific to the corresponding industrial problem. The machine learning application receives a dataset for generating a model for making a prediction for the industrial problem corresponding to the selected machine learning application. The standard features are provided for display for the user to map variables in the dataset to the standard features. Mapping by the user is received through the user interface. The machine learning pipelines are applied to the dataset to train a plurality of models based at least on the mapping. The trained models are ranked and one of the trained models is selected based on the ranking. The selected trained model is to be used for making the prediction based on new data.


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