公开(公告)号：US20200334570A1

公开(公告)日：2020-10-22

申请号：US16530855

申请日：2019-08-02

Applicant: Apple Inc.

Inventor： Aaron B. FRANKLIN ,  Kanit WONGSUPHASAWAT ,  Naga Rama Abhishek PRATAPA ,  Srikrishna SRIDHAR ,  Zachary A. NATION

IPC: G06N20/00 ,  G06F17/16 ,  G06F16/904

Abstract: The subject technology receives information associated with a machine learning model. The subject technology determines a set of metrics based at least in part on the information associated with the machine learning model, where the set of metrics corresponds to respective indicators of performance of the machine learning model based on input data from a data set, the set of metrics further including a number of errors produced by the machine learning model when applied to the input data from the data set. Further, the subject technology displays a user interface based at least in part on the set of metrics, where the user interface includes a set of graphical elements, and the set of graphical elements further includes representations of the set of metrics, and representations of the input data from the data set utilized by the machine learning model.

公开(公告)号：US20180349103A1

公开(公告)日：2018-12-06

申请号：US15721712

申请日：2017-09-29

Applicant: Apple Inc.

Inventor： Alexander B. BROWN ,  Michael R. SIRACUSA ,  Gaurav KAPOOR ,  Elizabeth OTTENS ,  Christopher M. HANSON ,  Zachary A. NATION ,  Vrushali MUNDHE ,  Srikrishna SRIDHAR

IPC: G06F9/44 ,  G06N99/00

CPC classification number: G06F8/315 ,  G06F8/10 ,  G06F8/30 ,  G06F8/35 ,  G06F8/36 ,  G06F8/60 ,  G06F8/71 ,  G06N99/005

Abstract: The subject technology provides for determining that a machine learning model in a first format includes sufficient data to conform to a particular model specification in a second format, the second format corresponding to an object oriented programming language. The subject technology transforms the machine learning model into a transformed machine learning model that is compatible with the particular model specification. 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 an integrated development environment (IDE), the IDE enabling modifying of the generated code interface and the code.

公开(公告)号：US20210109718A1

公开(公告)日：2021-04-15

申请号：US17129782

申请日：2020-12-21

Applicant: Apple Inc.

Inventor： Alexander B. BROWN ,  Michael R. SIRACUSA ,  Gaurav KAPOOR ,  Elizabeth OTTENS ,  Christopher M. HANSON ,  Zachary A. NATION ,  Vrushali MUNDHE ,  Srikrishna SRIDHAR

IPC: G06F8/30 ,  G06N20/00 ,  G06F8/35

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.

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

IPC: G06F8/30 ,  G06N20/00 ,  G06F8/35

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.

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

IPC: G06F9/44 ,  G06N99/00 ,  G06F9/45

CPC classification number: G06F8/71 ,  G06F8/10 ,  G06F8/30 ,  G06F8/36 ,  G06F8/60 ,  G06N99/005

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.