- 专利标题: METHODS AND APPARATUS TO PROVIDE MACHINE ASSISTED PROGRAMMING
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申请号: US16457365申请日: 2019-06-28
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公开(公告)号: US20190325348A1公开(公告)日: 2019-10-24
- 发明人: Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
- 申请人: Marcos Emanuel Carranza , Cesar Martinez-Spessot , Mats Agerstam , Maria Ramirez Loaiza , Alexander Heinecke , Justin Gottschlich
- 主分类号: G06N20/10
- IPC分类号: G06N20/10 ; G06N20/20 ; G06K9/62 ; G06F8/41
摘要:
Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.
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