bolero.behavior_search.BlackBoxSearch¶

class bolero.behavior_search.BlackBoxSearch(behavior, optimizer, metaparameter_keys=[], metaparameter_values=[])[source]¶

Combine a black box optimizer with a black box behavior.

Black box in this context means that only a fixed number of parameters will optimized with respect to a scalar reward function.

Parameters:

behavior : dict or Behavior subclass A black box behavior that is given directly or fully specified by a configuration dictionary. optimizer : dict or ContextualOptimizer subclass A black box optimizer that is given directly or fully specified by a configuration dictionary. metaparameter_keys : list, optional (default: []) Names of metaparameters for the behavior that will be set during initialization. metaparameter_values : list, optional (default: []) Values of metaparameters for the behavior that will be set during initialization.

__init__(behavior, optimizer, metaparameter_keys=[], metaparameter_values=[])[source]¶

get_args()¶

Get parameters for this estimator.

Returns:	params : mapping of string to any Parameter names mapped to their values.