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机器学习Python实现_10_12_集成学习_xgboost_回归的更多实现:泊松回归、gamma回归、tweedie回归》 - 努力的番茄- 博客园
XGBoost - An In-Depth Guide [Python API]
r - Determining p and link function for Tweedie distribution - Cross Validated
Sales forecasting in retail: what we learned from the M5 competition - Artefact
R : using xgboost to model a Tweedie regression - YouTube
Insurance Risk Pricing — Tweedie Approach | by Ajay Tiwari | Towards Data Science
Modelling Insurance Claims Data Using the Tweedie Approach | by Warda Rahim | Medium
PDF] A Swarm based Optimization of the XGBoost Parameters | Semantic Scholar
Getting Negative Predictions while using Tweedie Objective in Regression - XGBoost
Prediction of Bike‐sharing Trip Counts: Comparing Parametric Spatial Regression Models to a Geographically Weighted XGBoost Algorithm - Schimohr - 2023 - Geographical Analysis - Wiley Online Library
Tweedie Loss Function. An example: Insurance pricing | by Sathesan Thavabalasingam | Medium
Insurance risk pricing with XGBoost | PPT
How To Use XGBoost For Regression In Python (Tutorial) | Forecastegy
Tweedie vs Poisson * Gamma
R : using xgboost to model a Tweedie regression - YouTube
XGBoost - An In-Depth Guide [Python API]
🤓北美数据科学新手必看!XGBoost:吐血整理,让你轻松掌握! - 掘金
Tweedie vs Poisson * Gamma
Sensors | Free Full-Text | A Deep Learning-Based Unbalanced Force Identification of the Hypergravity Centrifuge
9.3 Tree based methods | Machine learning orientation
r - How does tweedie nloglike in XGBoost relate to the actual nloglike? - Stack Overflow
Request to add support for Tweedie Distribution · Issue #1392 · dmlc/xgboost · GitHub
XGBoost Parameters — xgboost 2.0.3 documentation
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