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

An information processing method executed by an information processing apparatus, the method comprising:

• detecting whether or not one or more conditions defining timings to perform learning of a regression model that predicts one or more objective variables for a plurality of explanatory variables are satisfied;
• determining priorities of the plurality of explanatory variables according to a condition detected to be satisfied;
• and
• performing learning of the regression model by using an objective function and learning data, the objective function including a regularization term having a regularization strength changing according to the priorities.

A computer program product comprising a computer-readable medium including programmed instructions, the instructions causing a computer to execute:

• detecting whether or not one or more conditions defining timings to perform learning of a regression model that predicts one or more objective variables for a plurality of explanatory variables are satisfied;
• determining priorities of the plurality of explanatory variables according to a condition detected to be satisfied;
• and
• performing learning of the regression model by using an objective function and learning data, the objective function including a regularization term having a regularization strength changing according to the priorities.