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.
Patent No.:
Date of Patent:
Mar. 15, 2022
Filed:
Sep. 28, 2018
Applicant:
Alibaba Group Holding Limited, Grand Cayman, KY;
Inventors:
Assignee:
ALIBABA GROUP HOLDING LIMITED, George Town, KY;
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/22 (2019.01); G06N 5/04 (2006.01); H04L 29/08 (2006.01); G06F 9/50 (2006.01); G06F 9/48 (2006.01); G06N 20/20 (2019.01); G06K 9/62 (2006.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/2246 (2019.01); G06N 5/045 (2013.01); H04L 67/10 (2013.01);
Abstract
Methods and apparatuses for training model based on random forest are provided. The method includes: dividing worker nodes into one or more groups; performing random sampling, by worker nodes in each group, in the preset sample data to obtain the target sample data; and training, by the worker nodes in each group, one or more decision tree objects using the target sample data. Example embodiments of the present disclosure do not need to scan the complete sample data for once, thereby greatly reducing the amount of data to be read, the time cost, and further the iterative update time of the model. The efficiency of training is improved.