Xgboost

Xgboost is a gradient boosting machine learning library. It has gained much popularity and attention recently as it was the algorithm of choice for many winning teams of a number of machine learning competition.

From the project description, Xgboost provides a "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, Flink and DataFlow".[1]

References

  1. ↑ "GitHub project webpage".


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