Source code for smac.callback.callback

from __future__ import annotations

from ConfigSpace import Configuration

import smac
from smac.runhistory import TrialInfo, TrialValue

__copyright__ = "Copyright 2022, automl.org"
__license__ = "3-clause BSD"


[docs] class Callback: """Callback interface with several methods that are called at different stages of the optimization process.""" def __init__(self) -> None: pass
[docs] def on_start(self, smbo: smac.main.smbo.SMBO) -> None: """Called before the optimization starts.""" pass
[docs] def on_end(self, smbo: smac.main.smbo.SMBO) -> None: """Called after the optimization finished.""" pass
[docs] def on_iteration_start(self, smbo: smac.main.smbo.SMBO) -> None: """Called before the next run is sampled.""" pass
[docs] def on_iteration_end(self, smbo: smac.main.smbo.SMBO) -> None: """Called after an iteration ended.""" pass
[docs] def on_next_configurations_start(self, config_selector: smac.main.config_selector.ConfigSelector) -> None: """Called before the intensification asks for new configurations. Essentially, this callback is called before the surrogate model is trained and before the acquisition function is called. """ pass
[docs] def on_next_configurations_end( self, config_selector: smac.main.config_selector.ConfigSelector, config: Configuration ) -> None: """Called after the intensification asks for new configurations. Essentially, this callback is called before the surrogate model is trained and before the acquisition function is called. """ pass
[docs] def on_ask_start(self, smbo: smac.main.smbo.SMBO) -> None: """Called before the intensifier is asked for the next trial.""" pass
[docs] def on_ask_end(self, smbo: smac.main.smbo.SMBO, info: TrialInfo) -> None: """Called after the intensifier is asked for the next trial.""" pass
[docs] def on_tell_start(self, smbo: smac.main.smbo.SMBO, info: TrialInfo, value: TrialValue) -> bool | None: """Called before the stats are updated and the trial is added to the runhistory. Optionally, returns false to gracefully stop the optimization. """ pass
[docs] def on_tell_end(self, smbo: smac.main.smbo.SMBO, info: TrialInfo, value: TrialValue) -> bool | None: """Called after the stats are updated and the trial is added to the runhistory. Optionally, returns false to gracefully stop the optimization. """ pass