Simulation apparatus, recording medium, and simulation method

A recording medium with a program recorded therein, wherein

• the program instructs a computer to execute:
• on an assumption that a batch block of data in sequential feeding of data to a machine learning model is designated as a chunk,
• a first step of loading training-purpose data;
• a second step of executing setting related to a first chunk as a chunk of input data and a second chunk as a chunk of training data on a basis of the loaded training-purpose data;
• a third step of loading test-purpose data;
• a fourth step of executing setting related to a third chunk as a chunk of test input data and a fourth chunk as a chunk of expected data on a basis of the loaded test-purpose data;
• a fifth step of executing computations of training with use of the machine learning model on a basis of the first chunk and the second chunk;
• a sixth step of executing computations of prediction with use of the machine learning model on a basis of results of the training and the third chunk;
• a seventh step of arithmetically comparing results of the prediction and the fourth chunk with each other;
• and
• an eighth step of non temporarily storing, in a storage medium, the machine learning model after execution of at least part of the computations of training.

A simulation method comprising:

• on an assumption that a batch block of data in sequential feeding of data to a machine learning model is designated as a chunk,
• a first step of loading training-purpose data;
• a second step of executing setting related to a first chunk as a chunk of input data and a second chunk as a chunk of training data on a basis of the loaded training-purpose data;
• a third step of loading test-purpose data;
• a fourth step of executing setting related to a third chunk as a chunk of test input data and a fourth chunk as a chunk of expected data on a basis of the loaded test-purpose data;
• a fifth step of executing computations of training with use of the machine learning model on a basis of the first chunk and the second chunk;
• a sixth step of executing computations of prediction with use of the machine learning model on a basis of results of the training and the third chunk;
• a seventh step of arithmetically comparing results of the prediction and the fourth chunk with each other;
• and
• an eighth step of non temporarily storing, in a storage medium, the machine learning model after execution of at least part of the computations of training.