#计算机科学# XGBoost的全称是经过优化的分布式梯度提升库,旨在高效、灵活且可移植。提供Python、R、Java、Scala等库
#计算机科学#LightGBM是一个基于决策树算法的分布式梯度提升框架(GBT、GBDT、GBRT、GBM或MART),用于排名、分类和许多其他机器学习任务。
#计算机科学#A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
#计算机科学#Boosted trees in Julia
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
#计算机科学#LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerize...
#计算机科学#This Repo is a Job for building a Regression Model and Deploy the Model using Flask and host at heroku