Simulation apparatus, recording medium, and simulation method
AssigneeRohm Co., Ltd.
InventorKenji HAMACHI
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 a loaded sequence of data. A model computing unit executes computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model. The model setting unit sets a range of data for use in computations of unsupervised training from within the sequence of data by a chunk designated with input by an operation input portion.
Claims5
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 a sequence of 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 sequence of 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, and
- 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 to set a range of data for use in computations of unsupervised training from within the sequence of data by a chunk designated with input by the operation input portion.
A recording medium with a program recorded therein, wherein
- the program is a program configured to instruct a computer to execute:
- a first step of loading a sequence of 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 sequence of data;
- a third step of setting a range of data for use in computations of unsupervised training from within the sequence of data on a unit of the chunk;
- and
- a fourth step of executing computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model.
A simulation method comprising:
- a first step of loading a sequence of 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 sequence of data;
- a third step of setting a range of data for use in computations of unsupervised training from within the sequence of data on a unit of the chunk;
- and
- a fourth step of executing computations of unsupervised training and computations of prediction by sequentially entering the chunk into the machine learning model.
Dependencies are inferred from the claim text.