Training data creation method, machine learning method, consumable management device, and computer readable medium

Abstract

A training data creation method according to an aspect of the present disclosure is used for machine learning of a learning model for predicting lifetime of a consumable of a laser device. The method includes acquiring first lifetime-related information including data of at least one lifetime-related parameter of the consumable recorded in association with each of numbers of oscillation pulses during a period from start of use to replacement of the consumable, determining a first deterioration degree of the consumable based on the number of oscillation pulses, determining a second deterioration degree of the consumable based on the at least one lifetime-related parameter, determining a third deterioration degree of the consumable based on the first deterioration degree and the second deterioration degree, and creating training data in which the first lifetime-related information and the third deterioration degree are associated with each other.