公开(公告)号：US20220301034A1

公开(公告)日：2022-09-22

申请号：US17641582

申请日：2021-01-15

Applicant: Hitachi, Ltd.

Inventor： Shin TEZUKA ,  Satoru MORIYA ,  Takaya IDE ,  Keisuke HATASAKI

IPC: G06Q30/06

Abstract: Regarding MS information, information about each of a plurality of MS's includes meta information of the relevant MS. Regarding model information, information about each of one or a plurality of models includes meta information of the relevant model. A system evaluates appropriateness of an evaluation destination MS/model for an evaluation source MS/model as a replacement MS/model for the evaluation source MS/model on the basis of the meta information of the evaluation destination MS/model and the meta information of the evaluation source MS/model. The system recommends one or more evaluation destination MS's/models, as a candidate for a replacement MS/model of a designated MS/model, to a user on the basis of evaluation of each of one or two or more evaluation destination MS's/models regarding which the MS/model designated by the user in an application configured from one or two or more MS's/models is the evaluation source MS/model.

公开(公告)号：US20210073676A1

公开(公告)日：2021-03-11

申请号：US16820812

申请日：2020-03-17

Applicant: HITACHI, LTD.

Inventor： Satoru MORIYA ,  Keisuke HATASAKI ,  Shin TEZUKA ,  Yoshiko YASUDA

IPC: G06N20/00 ,  G06F8/35 ,  G06Q30/06

Abstract: The model improvement support system makes a determination, for each of one or more datasets selected by a model developer from among one or more datasets provided from an application developer and input to the model in utilization of the model, of whether or not the execution condition of the learning/evaluation program for performing learning/evaluation on the model satisfies an execution condition associated with the dataset, wherein the learning/evaluation is at least either of learning and evaluation of the model, and executes the learning/evaluation program with this dataset used as an input to the model if the result of the determination is affirmative.

公开(公告)号：US20220164703A1

公开(公告)日：2022-05-26

申请号：US17438370

申请日：2020-03-06

Applicant: Hitachi, Ltd.

Inventor： Shin TEZUKA ,  Satoru MORIYA ,  Keisuke HATASAKI ,  Yoshiko YASUDA ,  Junji KINOSHITA

IPC: G06N20/00

Abstract: In the information registered by a system, a learning model is associated with a dataset which is one or more dataset elements serving as an input of the learning model, and a dataset is associated with a filter of the dataset. The system evaluates the learning model using a processed dataset which is a dataset obtained on the basis of a dataset associated with an evaluation target learning model and a filter associated with the dataset. The system displays at least a part of information associated with a browsing target learning model and information indicating a result of evaluation of the learning model.