bolero.optimizer.Optimizer¶

class bolero.optimizer.Optimizer[source]¶

Common interface for (non-contextual) optimizers.

__init__()¶

x.__init__(…) initializes x; see help(type(x)) for signature

get_args()¶

Get parameters for this estimator.

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

get_best_parameters()[source]¶

Get best individual/parameter vector so far.

Returns:	p : array_like, shape (n_params,) Best parameter vector so far

get_next_parameters(params)[source]¶

Get next individual/parameter vector for evaluation.

Parameters:	params : array_like, shape (n_params,) Parameter vector, will be modified

init(n_params)[source]¶

Initialize the behavior search.

Parameters:	n_params : int dimension of the parameter vector

is_behavior_learning_done()[source]¶

Check if the optimization is finished.

Returns:	finished : bool Is the learning of a behavior finished?

set_evaluation_feedback(rewards)[source]¶

Set feedbacks for the parameter vector.

Parameters:	rewards : list of float feedbacks for each step or for the episode, depends on the problem