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adds lightgbm
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.
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