Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions

An apparatus comprising:

• at least one memory;
• instructions in the apparatus;
• and
• processor circuitry to execute the instructions to:
• after a first tuning of hyperparameters in a hyperparameter space, select first hyperparameter values for respective ones of the hyperparameters;
• generate a polygonal shaped failure region in the hyperparameter space based on the first hyperparameter values;
• set the first hyperparameter values to failure before a second tuning of the hyperparameters;
• and
• select second hyperparameter values for the respective ones of the hyperparameters in a second tuning region after the second tuning of the hyperparameters in the second tuning region, the second tuning region separate from the polygonal shaped failure region.

A method comprising:

• after a first tuning of hyperparameters in a hyperparameter space, selecting first hyperparameter values for respective ones of the hyperparameters by executing an instruction with a processor;
• generating, by executing an instruction with the processor, a polygonal shaped failure region in the hyperparameter space based on the first hyperparameter values;
• setting, by executing an instruction with the processor, the first hyperparameter values to failure before a second tuning of the hyperparameters;
• and
• selecting, by executing an instruction with the processor, second hyperparameter values for the respective ones of the hyperparameters in a second tuning region after the second tuning of the hyperparameters in the second tuning region, the second tuning region separate from the polygonal shaped failure region.