Package index • GPopt

All functions
`BOstopping()`	BOstopping: Bayesian optimization with principled early stopping
`GPOpt()`	GPOpt: Bayesian optimization using Gaussian Process Regression
`GeneralizationOpt()`	GeneralizationOpt: diagnostics for the generalization gap of ML hyperparameters
`GenericSurrogate()`	GenericSurrogate: wrap any scikit-learn-compatible regressor as a GPOpt surrogate
`MLOptimizer()`	MLOptimizer: automated hyperparameter tuning for scikit-learn-compatible estimators
`get_GPopt()`	Get the Python `GPopt` module
`get_nnetsauce()`	Get the Python `nnetsauce` module
`get_numpy()`	Get the Python `numpy` module
`get_sklearn()`	Get the Python `scikit-learn` module

Reference