autoqild.bayes_search

The bayes_search package contains custom implementations and utilities for Bayesian hyperparameter optimization.

This package extends functionality provided by scikit-optimize, offering additional features such as logging, state-saving for optimizer progress, and enhanced callback functions for tracking and resuming the optimization process.

Modules

bayes_search_cv	Implements the main BayesSearchCV class, which orchestrates the Bayesian optimization process extending the functionality of BayesSearchCV from the scikit-optimize library.
bayes_search_utils	Provides utility functions to support the hyperparameter tuning process, including callback mechanisms, parameter extraction, and scoring functions.