Invention Grant
- Patent Title: Dimension grouping and reduction for model generation, testing, and documentation
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Application No.: US15806265Application Date: 2017-11-07
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Publication No.: US10417523B2Publication Date: 2019-09-17
- Inventor: Gurjeet Singh , Noah Horton , Bryce Eakin
- Applicant: Ayasdi, Inc.
- Applicant Address: US CA Los Altos
- Assignee: Ayasdi AI LLC
- Current Assignee: Ayasdi AI LLC
- Current Assignee Address: US CA Los Altos
- Agency: Ahmann Kloke LLP
- Main IPC: G06F16/28
- IPC: G06F16/28 ; G06K9/62 ; G06F16/901 ; G06F16/9038 ; G06F17/15 ; G06N7/00 ; G06Q10/06 ; G06F16/25

Abstract:
An example method includes receiving analysis data and output indicator, mapping data points from a transposition of the analysis data to a reference space, generating a cover of the reference space, clustering the data points mapped to the reference space using the cover and a metric function to determine each node of a plurality of nodes, for each node, identifying data points that are members to identify similar features, grouping features as being similar to each other based on node(s), for each feature, determining correlation with at least some data associated with the output indicator and generate a correlation score, displaying at least groupings of similar features and displaying the correlation scores, receiving a selection of features, generating a set of models based on selection, determining fit of each generated model to output data and generate a model score, and generating a model recommendation report.
Public/Granted literature
- US20180285685A1 DIMENSION GROUPING AND REDUCTION FOR MODEL GENERATION, TESTING, AND DOCUMENTATION Public/Granted day:2018-10-04
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