ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,188, issued on Nov. 4, was assigned to SAP SE (Walldorf, Germany).

"Determining data suitability for training machine learning models" was invented by Prabal Mahanta (Bangalore, India) and Abdul-Gafoor Mohamed (Bangalore, India).

According to the abstract* released by the U.S. Patent & Trademark Office: "Technologies are provided for determining a suitability of data payloads for training a machine learning model. A schema can be generated based on sample data payloads that have different data formats. The sample data payloads (and/or additional data payloads) can be converted to a format that conforms to the schema. Feature vectors can then be generated based on the converted dat...