twinlab.OptimiserParams# class twinlab.OptimiserParams(num_restarts=5, raw_samples=128)[source]# Parameter configuration for the optimiser used in the Bayesian-optimisation routine. Variables: num_restarts (int, optional) – The number of random restarts for optimisation. The default value is 5. raw_samples (int, optional) – The number of samples for initialization. The default value is 128. __init__(num_restarts=5, raw_samples=128)[source]# Methods __init__([num_restarts, raw_samples]) unpack_parameters()
