公开(公告)号：US20200372307A1

公开(公告)日：2020-11-26

申请号：US16419737

申请日：2019-05-22

Applicant: ADOBE INC.

Inventor： Sathya Arun ,  Nirmal Mani ,  Ashok Pancily Poothiyot

IPC: G06K9/62 ,  G06K9/00 ,  G06F3/0482 ,  G06N20/00 ,  G06F9/54

Abstract: Methods and systems are provided for evaluating providing insight into complex machine learning models to facilitate optimization of the models at scale. In particular, a system can guide and/or implement model training and evaluation in various machine learning environments. Further, the system is capable of using standardized evaluation metrics to provide insight into the success of iterations of a machine learning model. Additionally, the system allows for presenting visualizations based on such evaluation metrics to facilitate gaining insight into one or more machine learning models and/or instances of a machine learning model.

公开(公告)号：US12299541B2

公开(公告)日：2025-05-13

申请号：US16419737

申请日：2019-05-22

Applicant: ADOBE INC.

Inventor： Sathya Arun ,  Nirmal Mani ,  Ashok Pancily Poothiyot

IPC: G06N20/00 ,  G06F3/0482 ,  G06F9/54 ,  G06F18/21 ,  G06F18/40

Abstract: Methods and systems are provided for evaluating providing insight into complex machine learning models to facilitate optimization of the models at scale. In particular, a system can guide and/or implement model training and evaluation in various machine learning environments. Further, the system is capable of using standardized evaluation metrics to provide insight into the success of iterations of a machine learning model. Additionally, the system allows for presenting visualizations based on such evaluation metrics to facilitate gaining insight into one or more machine learning models and/or instances of a machine learning model.

公开(公告)号：US11941494B2

公开(公告)日：2024-03-26

申请号：US16410416

申请日：2019-05-13

Applicant: ADOBE INC.

Inventor： Pari Sawant ,  Shankar Srinivasan ,  Nirmal Mani

IPC: G06N20/00 ,  G06F8/30 ,  G06F8/61 ,  G06F8/71 ,  G06F16/18

CPC classification number: G06N20/00 ,  G06F8/31 ,  G06F8/64 ,  G06F8/71 ,  G06F16/1873

Abstract: Systems and methods for developing enterprise machine learning (ML) models within a notebook application are described. The system may include a notebook application, a packaging service, and an online ML platform. The method may include initiating a runtime environment within the notebook application, creating a plurality of files based on a notebook recipe template, generating a prototype model within the data science notebook application by accessing the plurality of files through the runtime environment, generating a production recipe including the runtime environment and the plurality of files, and publishing the production recipe to the online ML platform.