Python: Gridsearch Without Machine Learning?

Python: Gridsearch Without Machine Learning?

2024/10/11 12:26:05

I want to optimize an algorithm that has several variable parametersas input.

For machine learning tasks, Sklearn offers the optimization of hyperparameters with the gridsearch functionality.

Is there a standardized way / library in Python that allows the optimization of hyperparameters that is not limited to machine learning topics?

Answer

You can create a custom pipeline/estimator ( see link http://scikit-learn.org/dev/developers/contributing.html#rolling-your-own-estimator) with a score method to compare the results.

The ParameterGrid might help you too. It will automatically populated all the hyper-parameters settings.

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