Telefonaktiebolaget Lm Ericsson (publ)

Carl-Fredrik Sundlöf

Simon Moritz

Jonas Björk

A method and arrangement for processing data when training a data model involving multiple iterations of data records in a dataset (c,) stored in a database (). Memory space (d,) is allocated in the database for maintaining the data model during the training operation. The data records in the dataset are read () directly from the database for each iteration, and the data model is trained () inside the database by repeatedly applying the read data records in the training operation and updating () the data model. It is also checked () whether the updated data model has converged according to a predefined convergence condition. The data model is eventually saved () once the data model has converged.

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Danderyd, Sweden

Carl-Fredrik Sundlöf