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
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Updated
May 6, 2022 - Jupyter Notebook