COMPUTER MOUNTING METHOD FOR SELECTING SUITABLE MACHINE LEARNING PIPELINE FOR PROCESSING NEW DATA SET, COMPUTING SYSTEM, AND COMPUTER PROGRAM (ITEM RECOMMENDATION HAVING APPLICATION TO AUTOMATED ARTIFICIAL INTELLIGENCE)

摘要

To solve the problem that processing for selecting a suitable model for a different application becomes more important if it is assumed that a demand for an ML application increases to increase the number of available ML models.SOLUTION: A plurality of rating values corresponding to respective performance of a plurality of pipelines about one data set among a plurality of data sets are stored. A distance between pairs of each data set among the plurality of data sets is determined in a latent space. The plurality of data sets are clustered in the latent space, and a representative data set in each cluster is identified. A suitable pipeline set is selected from among a plurality of sets according to a set of rating values corresponding to the respective performance of a pipeline selected for the representative data set in response to the reception of a new data set. The new data set is processed in the suitable pipeline set.SELECTED DRAWING: Figure 1