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| LightGBM, Light Gradient Boosting Machine | ||
| ========== | ||
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| LightGBM is a gradient boosting framework that using tree based learning algorithms. It is designed to be distributed and high performance, and has following advantages: | ||
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| LightGBM is a gradient boosting framework that using tree based learning algorithms. It can outperform existing boosting tools on both learning efficiency and accuracy. Our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) shows that the result of efficiency and accuracy are better than other boosting tools. | ||
| - Fast training speed | ||
| - Low memory consumption | ||
| - Better accuracy | ||
| - Efficient parallel learning | ||
| - Can learn from very big data | ||
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| LightGBM can leveraging multiple machines to speed-up the training procedure, which can achive linear speed-up in our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) settings. | ||
| For the details about these advantages, please refer to [Feature Highlight](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight). | ||
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| The [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) on real data also show LightGBM can outperform other existing boosting tools on both learning efficiency and accuracy, with much lower memory consumption. And LightGBM can achieve linear speed-up for parallel learning in our [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment). | ||
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| Get Started | ||
| ------------ | ||
| To quick start, please refer to [Installation](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) and [Quick Start](https://github.com/Microsoft/LightGBM/wiki/Quick-Start). | ||
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| Documents | ||
| ------------ | ||
| * [**Wiki**](https://github.com/Microsoft/LightGBM/wiki) | ||
| * [**Installation**](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) | ||
| * [**Quick Start**](https://github.com/Microsoft/LightGBM/wiki/Quick-Start) | ||
| * [**Examples**](https://github.com/Microsoft/LightGBM/tree/master/examples) | ||
| * [**Feature Highlight**](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight) | ||
| * [**Parallel Learning Guide**](https://github.com/Microsoft/LightGBM/wiki/Parallel-Learning-Guide) | ||
| * [**Parameters**](https://github.com/Microsoft/LightGBM/wiki/Parameters) | ||
| * [**Examples**](https://github.com/Microsoft/LightGBM/tree/master/examples) | ||
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| Microsoft Open Source Code of Conduct | ||
| ------------ | ||
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| This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. |