CPC G06F 30/20 (2020.01) [G06N 5/01 (2023.01); G06N 5/046 (2013.01); G10L 2015/085 (2013.01)] | 14 Claims |
1. A method of conducting computing experiments, comprising:
executing a set of jobs based on user-selected parameters;
learning a user strategy by checking the user-selected parameters during the executing of the set of jobs;
refining the user strategy by refining the set of jobs,
wherein the refining of the user strategy is based on a comparison in the learning of the user strategy and a predetermined constraint,
wherein the refining of the user strategy comprises generating a pruning suggestion that identifies a prunable job of the set of jobs based on the comparison and the predetermined constraint; and
prompting a user to accept or not accept the identified prunable job, by generating a display which prompts the user to input a response to the pruning suggestion.
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