Rewriting method and information processing apparatus

A rewriting method comprising:

• detecting, by a processor and based on a module name of a module included in a machine learning library, first code for calling a training function for training a machine learning model from a machine learning program that uses the machine learning library;
• inserting, by the processor and before the first code, second code for splitting first training data passed to the training function by the first code into second training data and test data;
• rewriting, by the processor, the first code to pass the second training data to the training function;
• and
• inserting, by the processor and after the first code, third code for calculating a score based on prediction data, which is generated from the machine learning model that has been trained and input data included in the test data, and correct answer data included in the test data.

An information processing apparatus comprising:

• a memory configured to store a machine learning program that uses a machine learning library;
• and
• a processor coupled to the memory and the processor configured to:
• detect, based on a module name of a module included in the machine learning library, first code for calling a training function for training a machine learning model from the machine learning program;
• insert, before the first code, second code for splitting first training data passed to the training function by the first code into second training data and test data;
• rewrite the first code to pass the second training data to the training function;
• and
• insert, after the first code, third code for calculating a score based on prediction data, which is generated from the machine learning model that has been trained and input data included in the test data, and correct answer data included in the test data.