xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
XGBoost keeps winning tabular competitions years after deep learning was supposed to make it obsolete.
From the README
Documentation ↗Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
xgboost has 28.6k stars on GitHub. It has been forked 8.9k times. xgboost is written mainly in C++. It has been in active development since 2014. xgboost is available under the Apache-2.0 license. Its main topics are distributed-systems, gbdt, gbm, gbrt.
Read the full guideWhat is xgboost?
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Is xgboost open source?
xgboost is an open-source project. It is released under the Apache-2.0 license.
Is xgboost free?
Yes. xgboost is free and open source — you can use, modify and self-host it.
What license does xgboost use?
xgboost is available under the Apache-2.0 license.
What language is xgboost written in?
xgboost is written mainly in C++.
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