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公开(公告)号:US20190286424A1
公开(公告)日:2019-09-19
申请号:US16430351
申请日:2019-06-03
Applicant: Apple Inc.
Inventor: Alexander B. BROWN , Michael R. SIRACUSA , Gaurav KAPOOR , Elizabeth OTTENS , Christopher M. HANSON , Zachary A. NATION , Vrushali MUNDHE , Srikrishna SRIDHAR
Abstract: The subject technology transforms a machine learning model into a transformed machine learning model in accordance with a particular model specification when the machine learning model does not conform to the particular model specification, the particular model specification being compatible with an integrated development environment (IDE). The subject technology generates a code interface and code for the transformed machine learning model, the code interface including code statements in the object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model. Further, the subject technology provides the generated code interface and the code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.
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公开(公告)号:US20180349109A1
公开(公告)日:2018-12-06
申请号:US15721701
申请日:2017-09-29
Applicant: Apple Inc.
Inventor: Alexander B. BROWN , Michael R. SIRACUSA , Gaurav KAPOOR , Elizabeth A. OTTENS , Christopher M. HANSON , Zachary A. NATION , Vrushali H. MUNDHE , Srikrishna SRIDHAR
Abstract: The subject technology provides for generating machine learning (ML) model code from a ML document file, the ML document file being in a first data format, the ML document file being converted to code in an object oriented programming language different than the first data format. The subject technology further provides for receiving additional code that calls a function provided by the ML model code. The subject technology compiles the ML model code and the additional code, the compiled ML model code including object code corresponding to the compiled ML model code and the compiled additional code including object code corresponding to the additional code. The subject technology generates a package including the compiled ML model code and the compiled additional code. Further, the subject technology sends the package to a runtime environment on a target device for execution.
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