CPC G06F 8/31 (2013.01) [G06F 9/30036 (2013.01); G06F 9/30079 (2013.01); G06F 9/5016 (2013.01); G06F 9/5022 (2013.01); G06F 9/544 (2013.01); G06F 16/24535 (2019.01); G06F 16/24568 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method, comprising:
processing source data in a machine learning (ML) pipeline, including:
retrieving a first value, from fixed or variable length data in a dataview of the ML pipeline, wherein the dataview provides a non-materialized view of the data and retrieving the first value comprises calling a first delegate function referenced in the dataview to perform a first computation to determine the first value;
storing the first value in a first set of arrays of a first buffer, the first set of arrays comprising a first array and a second array;
reassigning the first set of arrays from the first buffer to a second buffer;
retrieving a second value from the fixed or variable length data, by calling the first delegate function or a second delegate function referenced in the dataview to perform a second computation to determine the second value; and
storing the second value in the first buffer.
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