Invention Grant
- Patent Title: Data blaming
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Application No.: US17882555Application Date: 2022-08-06
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Publication No.: US11977989B2Publication Date: 2024-05-07
- Inventor: William Redington Hewlett, II , Seokkyung Chung , Lin Xu
- Applicant: Palo Alto Networks, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Palo Alto Networks, Inc.
- Current Assignee: Palo Alto Networks, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F18/2431 ; G06N5/01 ; G06N5/025 ; G06N20/00 ; G06N20/10 ; G06N20/20

Abstract:
A copy of a model comprising a plurality of trees is received, as is a copy of training set data comprising a plurality of training set examples. For each tree included in the plurality of trees, the training set data is used to determine which training set examples are classified as a given leaf. A blame forest is generated at least in part by mapping each training set item to the respective leaves at which it arrives.
Public/Granted literature
- US11810008B2 Data blaming Public/Granted day:2023-11-07
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