bolero.optimizer.RandomOptimizer¶

class bolero.optimizer.RandomOptimizer(initial_params=None, covariance=None, random_state=None, **kwargs)[source]¶

Random optimizer.

Parameters:	initial_params : array-like, shape = (n_params,), optional (default: [0, 0]) Initial parameter vector. covariance : array-like, shape = (n_params,), optional (default: I) Exploration covariance. random_state : int, optional Seed for the random number generator.

__init__(initial_params=None, covariance=None, random_state=None, **kwargs)[source]¶

get_args()¶

Get parameters for this estimator.

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