Tree Family in Machine learning and XGBoost
因为研究的原因又回到了老本行，要用auto-sklearn和XGBoost，这次一定要把我自己讲明白
一些地址
https://towardsdatascience.com/beyond-grid-search-hypercharge-hyperparameter-tuning-for-xgboost-7c78f7a2929d
https://issueexplorer.com/issue/automl/auto-sklearn/1297
https://www.kaggle.com/residentmario/automated-feature-selection-with-sklearn
https://stackoverflow.com/questions/54035645/features-and-feature-importance-in-auto-sklearn-with-one-hot-encoded-features
https://github.com/automl/auto-sklearn/issues/524
https://towardsdatascience.com/feature-preprocessor-in-automated-machine-learning-c3af6f22f015
https://scikit-learn.org/stable/modules/feature_selection.html
https://github.com/automl/auto-sklearn/issues/524