In this project, we focus on different ways to optimize a machine learning model parameters.
metrics
cross-validation
parallelization
hyperparameter-optimization
hyperopt
bayesian-optimization
hyperparameter-tuning
smac
tpe
sequential-search
annealing
acquisition-functions
optuna
search-space
smbo
gaus
basic-search
smbo-algorithms
scikit-opt
-
Updated
May 6, 2022 - Jupyter Notebook