In this repo you will find a hyperparameter tuning modelselection framework using Hyperopt and XGBoost. The idea of this project is to build a framework for finding the optimum hyperparameters for a XGBoost model using hyperopt. This framework can be used for any project with any type of ML algo.
As example: the sklearn iris dataset has been used to showcase the working principles of hyperopt.
- hyperopt: http://hyperopt.github.io/hyperopt/
- XGBoost: https://xgboost.readthedocs.io/en/stable/
- sklearn iris dataset: https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html