Device for generating data merging rule for machine learning model, operation method and program for device for generating data merging rule, learning device for machine learning model, and operation method and program for learning device

An operation method for a device for generating a data merging rule for a machine learning model, the method comprising:

• a step of specifying a combination of feature vectors that are included in a data set including a correct answer label and are allowed to be merged;
• and
• a step of generating a merging rule of the feature vectors based on a combination of the feature vectors that are allowed to be merged.

A non-transitory computer readable medium storing a program that generates a data merging rule for a machine learning model, the program causing a computer to execute a process comprising:

• a step of specifying a combination of feature vectors that are included in a data set including a correct answer label and are allowed to be merged;
• and
• a step of generating a merging rule of the feature vectors based on a combination of the feature vectors that are allowed to be merged.

An operation method for a learning device for a machine learning model including a merging layer that converts first feature vectors into second feature vectors and outputs the second feature vectors, the method comprising:

• a step of training the machine learning model by using the second feature vectors,
• wherein the step of training the machine learning model includes a step of merging the second feature vectors output from the merging layer by changing a conversion rule from the first feature vectors to the second feature vectors in the merging layer.

A non-transitory computer readable medium storing a program for training a machine learning model including a merging layer that converts first feature vectors into second feature vectors and outputs the second feature vectors, the program causing a computer to execute a process comprising:

• a step of training the machine learning model by using the second feature vectors,
• wherein the step of training the machine learning model includes a step of merging the second feature vectors output from the merging layer by changing a conversion rule from the first feature vectors to the second feature vectors in the merging layer.