| CPC G06F 17/18 (2013.01) [G06N 20/00 (2019.01)] | 17 Claims |
|
1. An apparatus, comprising:
a processor; and
a memory storing instructions which when executed by the processor cause the processor to:
receive a plurality of sampled values for a hyperparameter of a computational model, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a respective performance metric for the computational model with the sampled value assigned to the hyperparameter;
determine a first candidate value from the plurality of possible values in a search space, wherein the first candidate value is not one of the plurality of sampled values;
assign the first candidate value to the hyperparameter of the computational model;
determine a first performance metric for the computational model based on training data and validation data processed by the computational model with the first candidate value assigned to the hyperparameter;
partition the search space into a plurality of regions;
determine a first region of the plurality of regions having a lowest count of the plurality of sampled values relative to the remaining regions of the plurality of regions;
determine a second candidate value in the first region;
assign the second candidate value to the hyperparameter of the computational model; and
determine a second performance metric for the computational model based on training data and validation data processed by the computational model with the second candidate value assigned to the hyperparameter.
|