Information processing device, information processing method, and computer program product

An information processing method implemented by a computer of an information processing device, the method comprising:

• calculating a number of pieces of data that is a number of pieces of input data for each of a plurality of categories, by using n pieces of input data each including a plurality of explanatory variables including a category variable representing any of the plurality of categories, n being an integer of 2 or more;
• calculating, for a plurality of combinations each including two of the categories included in the plurality of categories, a weight based on the number of pieces of data between two of the categories included in a combination;
• and
• learning a first regression model that estimates an objective variable from the plurality of explanatory variables by using a loss function including a regularization term in which a strength of regularization changes according to the weight.

A computer program product having a non-transitory computer readable medium including instructions stored thereon, wherein the instructions, when executed by a computer, cause the computer to execute:

• calculating a number of pieces of data that is a number of pieces of input data for each of a plurality of categories, by using n pieces of input data each including a plurality of explanatory variables including a category variable representing any of the plurality of categories, n being an integer of 2 or more;
• calculating, for a plurality of combinations each including two of the categories included in the plurality of categories, a weight based on the number of pieces of data between two of the categories included in a combination;
• and
• learning a first regression model that estimates an objective variable from the plurality of explanatory variables by using a loss function including a regularization term in which a strength of regularization changes according to the weight.