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python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
Colab/Jupyter UI wrapper for the HingeProt pipeline to predict protein hinges and rigid parts using elastic network models (GNM/ANM), with chain selection, CA-only support, and 3D visualization.