Abstract

Provided is an information processing method, etc. that assists a user in interpreting behavior of a generated machine learning model. In the information processing method, a computer executes processing of recording a plurality of sets of an explanatory data vector xn input to an existing machine learning model (21) and an objective data vector yn output from the machine learning model (21) in association with each other, calculating an interpretation matrix A_dagger which is a vector product of an explanatory matrix X in which a plurality of sets of the explanatory data vector xn is arranged and a generalized inverse matrix of an objective matrix Y in which the objective data vector yn is arranged in an order corresponding to the explanatory data vector X, and outputting a chart (41, 42, and 43) related to the interpretation matrix A_dagger.

IPC Classes  ?

• G06F 17/16 - Matrix or vector computation
• G06N 20/00 - Machine learning

Abstract

The purpose of the present invention is to provide an information processing method and the like that assist a user in interpreting the behavior of a generated machine learning model.　In this information processing method, a computer performs a process for: associating and recording explanatory data vectors xn input to an existing machine learning model (21) and objective data vectors yn output from the machine learning model (21), as a plurality of pairs; calculating an interpretation matrix A†, which is the vector product of an explanatory matrix X obtained by arranging a plurality of sets of explanatory data vectors xn, and a generalized inverse matrix of an objective matrix Y obtained by arranging objective data vectors yn in an order corresponding to the order of the explanatory data vectors X; and outputting charts (41, 42, 43) for the interpretation matrix A†.

IPC Classes  ?

• G06N 20/00 - Machine learning
• G06F 18/27 - Regression, e.g. linear or logistic regression

Abstract

Provided is an information processing method or the like for assisting in understanding of explanatory data created using an XAI technology.　In this information processing method, a computer executes a process for: acquiring explanatory data relating to a learning model (22) that receives input of an explanation data vector xn and outputs a target data vector yn, the explanatory data being created using an XAI technology that describes the behavior of the learning model (22); inputting a prompt including the explanatory data to a language model (24); and outputting an explanation from the language model (24).

IPC Classes  ?

• G06N 20/00 - Machine learning
• G06F 18/27 - Regression, e.g. linear or logistic regression