Simulation apparatus, recording medium, and simulation method
AssigneeRohm Co., Ltd.
InventorsKenji HAMACHI, Koji TAMANO
Life of this patent
Estimating the term…
Abstract
In the simulation apparatus, a model setting unit executes setting related to a chunk as a batch block of data in a case where data are sequentially entered into a machine learning model on a basis of loaded data. A model computing unit executes computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model. A model storage unit is configured to non-temporarily store not only the machine learning model before execution of the computations of training but also the machine learning model after execution of at least part of the computations of training.
Claims7
A simulation apparatus comprising:
- a model storage unit in which a machine learning model configured to execute training and prediction has been stored;
- a model computing unit configured to execute computing process by using the machine learning model;
- an operation input portion;
- a loading unit configured to load data;
- and
- a model setting unit configured to execute setting related to the machine learning model on a basis of input by the operation input portion,
- wherein
- the model setting unit is configured to, on a basis of the loaded data, execute setting related to a chunk as a batch block of data in a case where data are sequentially entered into the machine learning model,
- the model computing unit is configured to execute computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model, and
- the model storage unit is configured to non-temporarily store not only the machine learning model before execution of the computations of training but also the machine learning model after execution of at least part of the computations of training.
A recording medium with a program recorded therein, wherein
- the program instructs a computer to execute:
- a first step of loading data;
- a second step of executing setting related to a chunk as a batch block of data in a case where data are sequentially entered into a machine learning model on a basis of the loaded data;
- a third step of executing computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model;
- and
- a fourth step in which the machine learning model having been subjected to execution of at least part of the computations of unsupervised training is non-temporarily stored in the recording medium.
A simulation method comprising:
- a first step of loading data;
- a second step of executing setting related to a chunk as a batch block of data in a case where data are sequentially entered into a machine learning model on a basis of the loaded data;
- a third step of executing computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model;
- and
- a fourth step in which the machine learning model having been subjected to execution of at least part of the computations of unsupervised training is non-temporarily stored in a recording medium.
Dependencies are inferred from the claim text.