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"""Base class for optimizer.""" |
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# copyright: hyperactive developers, MIT License (see LICENSE file) |
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from skbase.base import BaseObject |
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class BaseOptimizer(BaseObject): |
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"""Base class for optimizer.""" |
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_tags = { |
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"object_type": "optimizer", |
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"python_dependencies": None, |
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# properties of the optimizer |
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"info:name": None, # str |
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"info:local_vs_global": "mixed", # "local", "mixed", "global" |
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"info:explore_vs_exploit": "mixed", # "explore", "exploit", "mixed" |
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"info:compute": "middle", # "low", "middle", "high" |
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# see here for explanation of the tags: |
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# https://simonblanke.github.io/gradient-free-optimizers-documentation/1.5/optimizers/ # noqa: E501 |
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} |
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def __init__(self): |
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super().__init__() |
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assert hasattr(self, "experiment"), "Optimizer must have an experiment." |
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search_config = self.get_params() |
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self._experiment = search_config.pop("experiment", None) |
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if self.get_tag("info:name") is None: |
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self.set_tags(**{"info:name": self.__class__.__name__}) |
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def get_search_config(self): |
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"""Get the search configuration. |
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Returns |
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------- |
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dict with str keys |
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The search configuration dictionary. |
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""" |
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search_config = self.get_params(deep=False) |
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search_config.pop("experiment", None) |
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return search_config |
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def get_experiment(self): |
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"""Get the experiment. |
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Returns |
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------- |
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BaseExperiment |
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The experiment to optimize parameters for. |
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""" |
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return self._experiment |
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def solve(self): |
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"""Run the optimization search process to maximize the experiment's score. |
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The optimization searches for a maximizer of the experiment's |
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``score`` method. |
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Depending on the tag ``property:higher_or_lower_is_better`` being |
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set to ``higher`` or ``lower``, the ``run`` method will search for: |
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* the minimizer of the ``evaluate`` method if the tag is ``lower`` |
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* the maximizer of the ``evaluate`` method if the tag is ``higher`` |
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Returns |
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------- |
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best_params : dict |
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The best parameters found during the optimization process. |
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The dict ``best_params`` can be used in ``experiment.score`` or |
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``experiment.evaluate`` directly. |
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""" |
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experiment = self.get_experiment() |
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search_config = self.get_search_config() |
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best_params = self._solve(experiment, **search_config) |
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self.best_params_ = best_params |
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return best_params |
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SimonBlanke /
Hyperactive
