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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:
LightGBM is a gradient boosting framework that using tree based learning algorithms. It is designed to be distributed and efficient with following advantages:
- Fast training speed
- Low memory consumption
- Fast training efficency
- Low memory usage
- Better accuracy
- Efficient parallel learning
- Can learn from very big data
- parallel learning supported
- deal with large scale of data
For the details about these advantages, please refer to [Feature Highlight](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight).
For the details, please refer to [Feature Highlights](https://github.com/Microsoft/LightGBM/wiki/Feature-Highlight).
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).
The [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#comparison-experiment) on the public data also shows that LightGBM can outperform other existing boosting tools on both learning efficiency and accuracy, with significant lower memory consumption. What's more, the [experiments](https://github.com/Microsoft/LightGBM/wiki/Experiments#parallel-experiment) shows that LightGBM can achieve linear speed-up by using multiple machines for training in specific settings.
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).
For a quick start, please follow the [Installation Guide](https://github.com/Microsoft/LightGBM/wiki/Installation-Guide) and [Quick Start](https://github.com/Microsoft/LightGBM/wiki/Quick-Start).
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