Intelligent generation of code for imputation of missing data in a machine learning dataset

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United States of America Patent

PATENT NO 12014157
APP PUB NO 20240069874A1
SERIAL NO

17898815

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Abstract

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Methods and apparatuses are described for intelligent imputation of missing data in a machine learning (ML) dataset comprised of a plurality of features. Each feature includes a plurality of values, where at least a portion of the values for one or more features are missing. A server analyzes the ML dataset to generate characteristics of the missing values in the ML dataset. The server selects an imputation algorithm for filling in the missing values based upon the identified characteristics. The server determines a computing environment in which the imputation algorithm is executed based upon one or more of a size of the ML dataset or the selected algorithm. The server generates code that comprises instructions for executing the imputation algorithm on the ML dataset in the computing environment. The server integrates the code into an ML platform that executes the code to assign replacement values to the missing values.

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Patent Owner(s)

Patent OwnerAddress
FMR LLC245 SUMMER STREET BOSTON MA 02210

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Pu Southborough, US 36 143
Tiwari, Pranay Auburndale, US 1 0
Wilkinson, Alain Natick, US 2 0
Worlikar, Manish Flower Mound, US 3 4
Zhang, Ray Winchester, US 9 21

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