Product Information
Overview
LightGBM is a distributed gradient boosting framework that uses tree-based learning. It is histogram-based and places continuous values into discrete bins leading to faster training and more efficient memory usage.
Benefits and features
- Faster training speed and higher efficiency
- Lower memory usage
- Better accuracy
- Support of parallel and GPU learning
- Capable of handling large-scale data
- Ability to handle missing data
- Handles categorical features out of the box
- Provides early stopping
- Supports several programming languages including Python, R, C, C++
Screenshots
Product Reviews
Derrick Mwiti
Mar 30,2021
The package reduces the time one would spend handling categorical features and missing values. It also produces good results with the default parameters.
Compare MLOPS Software Now
Search, compare, and choose the right software which help you and your team with your machine learning project.
