DNGO Tuner¶
Usage¶
Installation¶
classArgs requirements¶
optimize_mode (‘maximize’ or ‘minimize’) - If ‘maximize’, the tuner will target to maximize metrics. If ‘minimize’, the tuner will target to minimize metrics.
sample_size (int, default = 1000) - Number of samples to select in each iteration. The best one will be picked from the samples as the next trial.
trials_per_update (int, default = 20) - Number of trials to collect before updating the model.
num_epochs_per_training (int, default = 500) - Number of epochs to train DNGO model.
Example Configuration¶
# config.yml
tuner:
name: DNGOTuner
classArgs:
optimize_mode: maximize