# jiangnanboy/learning\_to\_rank

<https://repo.masters-masters.com/en/repos/jiangnanboy/learning_to_rank>

[Home](https://repo.masters-masters.com/en) › [jiangnanboy](https://repo.masters-masters.com/en/owners/jiangnanboy) › [learning\_to\_rank](https://repo.masters-masters.com/en/repos/jiangnanboy/learning_to_rank)

jiangnanboy/learning\_to\_rank has 278 stars on GitHub. Its RepoMasters card: Alpha tier. 利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use…

| Field | Value |
| --- | --- |
| Owner | [jiangnanboy](https://repo.masters-masters.com/en/owners/jiangnanboy) |
| Stars | 278 |
| Forks | 72 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | lightgbm, learning-to-rank, python, shap |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiangnanboy/learning\_to\_rank](https://github.com/jiangnanboy/learning_to_rank) |

## Repository

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.