API

bonni.ActivationType(*values)	Enumeration of supported activation functions for neural network layers.
bonni.EIConfig(*[, offset, penalty_mode, ...])	Configuration for the Expected Improvement acquisition function.
bonni.InitType(*values)	Enumeration of initialization strategies for model parameters.
bonni.MLPModelConfig(*, num_layer, out_channels)	Configuration object for a Multi-Layer Perceptron (MLP) model.
bonni.OptimConfig(*, total_steps[, ...])	Configuration for training the ensemble between every sampling step.
bonni.optimize_bonni(fn, bounds, ...[, ...])	Optimize any black-box function with BONNI.
bonni.optimize_ipopt(fn, x0, bounds[, ...])	Optimize a black-box function using the Interior Point Optimizer (IPOPT).