AUTOMATED GENERATION OF MACHINE LEARNING MODELS FOR NETWORK EVALUATION

This document relates to automating the generation of machine learning models for evaluation of computer networks. Generally, the disclosed techniques can obtain network context data reflecting characteristics of a network, identify a type of evaluation to be performed on the network, and select a p...

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Bibliographische Detailangaben
Hauptverfasser: ROUHANI, Bita Darvish, ARZANI, Behnaz
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:This document relates to automating the generation of machine learning models for evaluation of computer networks. Generally, the disclosed techniques can obtain network context data reflecting characteristics of a network, identify a type of evaluation to be performed on the network, and select a particular machine learning model for evaluating the network based at least on the type of evaluation. The disclosed techniques can also select one or features to train the particular machine learning model.