有关lgbm算法分析的文献

以下是一些关于LightGBM算法分析的学术文献，供您参考：

1. Microsoft LightGBM: A Highly Efficient Gradient Boosting Decision Tree. https://papers.nips.cc/paper/2017/file/6449f44a102fde848669bdd9eb6b76fa-Paper.pdf

2. LightGBM: A Highly Efficient Gradient Boosting Decision Tree. https://arxiv.org/abs/1706.08359

3. Understanding LightGBM Parameters and How to Tune Them. https://towardsdatascience.com/understanding-lightgbm-parameters-and-how-to-tune-them-6764e20c6e5b

4. LightGBM for Classification and Regression. https://towardsdatascience.com/lightgbm-for-classification-and-regression-9e2f9c175e03

5. LightGBM: A Guide to Parameter Tuning. https://towardsdatascience.com/lightgbm-a-guide-to-parameter-tuning-b11aceb90831

这些文献涵盖了LightGBM算法的基本原理、优点、参数调整方法等方面的内容，可以帮助您更深入地了解和应用LightGBM算法。