METHOD AND LEARNING SYSTEM FOR MACHINE LEARNING ALGORITHM Russian patent published in 2018 - IPC G06N99/00 

FIELD: information technology.

SUBSTANCE: invention relates to methods and systems for selecting a training sample for learning the machine learning algorithm. Method of learning machine learning algorithm includes: creation by the server of a training sample for MLlearning, the training sample including a plurality of feature vectors and corresponding associated calculation errors, creation includes: creating a set of feature vectors based on historical data associated with production process; identification of the corresponding value of the target process characteristic in each feature vector; definition of the regression function; the server determines the calculated output value for each corresponding value of the target process characteristic based on the regression function; determination of the calculated error for each feature vector on the basis of the corresponding associated output value and the corresponding associated calculated output value. Method also includes MLA training based on training sample to predict corresponding calculated error for each feature vector, MLA training includes the server input of each feature vector and the corresponding associated calculated error in the MLA.

EFFECT: technical result consists in expansion of range of products.

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