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