profit.al.simple_al

Module Contents

Classes

SimpleAL

Simple active learning algorithm based on a surrogate model and an acquisition function to find next candidates.

class profit.al.simple_al.SimpleAL(runner, variables, surrogate, ntrain, nwarmup=base_defaults['nwarmup'], batch_size=base_defaults['batch_size'], acquisition_function=defaults['acquisition_function'], convergence_criterion=base_defaults['convergence_criterion'], nsearch=base_defaults['nsearch'], make_plot=base_defaults['make_plot'], searchtype=defaults['searchtype'])

Bases: profit.al.ActiveLearning

Simple active learning algorithm based on a surrogate model and an acquisition function to find next candidates.

Parameters:

• surrogate (profit.sur.Surrogate) – Surrogate used for fitting.

• acquisition_function (str/profit.al.acquisition_functions.AcquisitionFunction) – Acquisition function used for selecting the next candidates.

search_space

np.linspace for each AL input variable.

Type:

dict[str, np.array]

Xpred

Matrix of the candidate points built with np.meshgrid.

Type:

np.array

labels

warmup(save_intermediate=base_defaults['save_intermediate'])

To get data for active learning, sample initial points randomly.

learn(resume_from=base_defaults['resume_from'], save_intermediate=base_defaults['save_intermediate'])

Main loop for active learning.

find_next_candidates()

Find the next candidates using the acquisition function’s method find_next_candidates.

Returns:

Next training points.

Return type:

np.array

update_run(candidates)

Run a batch of simulations with the new candidates.

Parameters:

candidates (np.array) – Input points to run the simulation on.

save(path)

Save the AL model.

Parameters:

path (str) – Path where the model is saved.

plot()

Plot the progress of the AL learning.

classmethod from_config(runner, variables, config, base_config)

Instantiates an ActiveLearning object from the configuration parameters.

Parameters:

• runner (profit.run.runner.Runner) – Runner instance.

• variables (profit.util.variable.VariableGroup) – Variables.

• config (dict) – Only the ‘active_learning’ part of the base_config.

• base_config (dict) – The whole configuration parameters.

Returns:

AL instance.

Return type:

profit.al.active_learning.ActiveLearning