CPC G06F 40/279 (2020.01) [G06F 16/9024 (2019.01); G06F 18/2148 (2023.01); G06F 18/2193 (2023.01); G06F 40/205 (2020.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method of preparing a dataset for ingestion by a machine-learning model, the method comprising:
calculating a pattern relevance for a first field in the dataset;
modifying the first field based on the pattern relevance;
detecting a contextual cue in the first field;
retrieving contextual information for a value in the first field;
adding the contextual information to the dataset;
identifying a numerical scheme for the first field; and
parsing the first field into a number according to the numerical scheme.
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