Patent · US Active

Computer system for building, training and productionizing machine learning models

US11227188B2 · kind B2 · utility

2Cited by
0References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateAug 6, 2018
Grant dateJan 18, 2022
Priority date
Expiry dateJun 13, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N7/01
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A system for building, training and productionizing machine learning models is disclosed. A model training specification is received, and a plurality of sets of hyper-parameters is obtained. Sets of training data and hyper parameter sets are distributed to distributed training systems. Models are trained in parallel using different sets of training data. Models are trained using multiple sets of hyper parameters. A candidate hyper-parameter set is selected, based on a measure of estimated effectiveness of the trained predictive models, and a production predictive model is generated by training a predictive model using the selected candidate hyper-parameter set and the complete set of training data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.