[PR #2576] adds lightgbm #1893

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GiteaMirror · 2025-11-06T13:25:19-06:00

GiteaMirror commented

2025-11-06 13:25:19 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2576
Author: @msjithin
Created: 4/9/2024
Status: 🔄 Open

Base: master ← Head: lightgbm

📝 Commits (1)

0c6c865 adds lightgbm

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

LightGBM, short for Light Gradient Boosting Machine is ideal for large-scale data projects.
Efficient Large-Scale Learning: Optimized for performance, making it suitable for large datasets and high-dimensional data.
Fast Training: Implements novel techniques like gradient-based one-side sampling and exclusive feature bundling, speeding up training times.
Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries.
Parallel and GPU Learning: Supports parallel and GPU learning, enhancing its capability to handle complex tasks.
High-Performance: Delivers high performance, both in terms of speed and accuracy, for a variety of machine learning tasks.
Flexible and Versatile: Suitable for a range of applications, from regression to classification and ranking tasks.
Active Community and Development: Benefits from ongoing development and a growing community.

What's the difference between this Python project and similar ones?

Fast Training when compared to traditional scikit-learn Gradient boosted algos.
Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries.
Parallel and GPU Learning: Supports parallel and GPU learning.

--

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2576 **Author:** [@msjithin](https://github.com/msjithin) **Created:** 4/9/2024 **Status:** 🔄 Open **Base:** `master` ← **Head:** `lightgbm` --- ### 📝 Commits (1) - [`0c6c865`](https://github.com/vinta/awesome-python/commit/0c6c8657015e748cc1332e90a729a810c7c393cc) adds lightgbm ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? LightGBM, short for Light Gradient Boosting Machine is ideal for large-scale data projects. Efficient Large-Scale Learning: Optimized for performance, making it suitable for large datasets and high-dimensional data. Fast Training: Implements novel techniques like gradient-based one-side sampling and exclusive feature bundling, speeding up training times. Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries. Parallel and GPU Learning: Supports parallel and GPU learning, enhancing its capability to handle complex tasks. High-Performance: Delivers high performance, both in terms of speed and accuracy, for a variety of machine learning tasks. Flexible and Versatile: Suitable for a range of applications, from regression to classification and ranking tasks. Active Community and Development: Benefits from ongoing development and a growing community. ## What's the difference between this Python project and similar ones? 1. Fast Training when compared to traditional scikit-learn Gradient boosted algos. 2. Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries. 3. Parallel and GPU Learning: Supports parallel and GPU learning. -- Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:25:19 -06:00

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Reference: github-starred/awesome-python#1893