Product Information
Overview
XGBoost is an open-source gradient boosting framework library for C++, Java, Python, R, Julia, Perl, and Scala. The library works on Linux, Windows, and macOS. Developers love it for its accuracy, efficiency, and feasibility.
Benefits and features
- Accepts sparse input for tree booster and linear booster
- Supports customized objective and evaluation functions
- Its optimized data structure, DMatrix, improves its performance and efficiency
- Provides support for GPUs
- Supports multiple programming languages
- Supports regression, classification, ranking, and user-defined objectives
- Supports distributed computing with Kubernetes and Dask
- Ability to implement callbacks
- Can implement early stopping during model training
Screenshots
Product Reviews
Derrick Mwiti
Mar 30,2021
XGBoost API is simple to use and provides good results with default parameters. It also runs fast even on a large dataset.
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