Patent ID: 11966827
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The computer-implemented method of claim 1, wherein the data characteristic prediction model comprises:
an embedding submodel configured to receive the one or more distributed trace items and produce, based on the one or more distributed trace items, an embedding table comprising one or more embeddings;
an encoder submodel configured to receive the one or more embeddings from the embedding table and produce, based at least in part on the one or more embeddings, a first encoded output;
a character encoding submodel comprising one or more encoder submodels, the character encoding submodel configured to encode each character of a plurality of characters of the one or more distributed trace items as a one-hot encoding and provide the one-hot encoding to the embedding, submodel;
an averaging layer configured to receive the first encoded output and produce, based at least in part on the first encoded output, an averaged output; and
one or more characteristic specific layers configured to receive the averaged output and produce, based at least in part on the averaged output, the one or more data characteristic predictions.