anaconda / packages / py-xgboost-cpu 1.5.0

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

Installers

conda install

  • linux-ppc64le  v1.5.0
  • linux-64  v1.5.0
  • osx-64  v1.5.0
  • win-64  v1.5.0
To install this package with conda run:
conda install -c anaconda py-xgboost-cpu

Description

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.


© 2022 Anaconda, Inc. All Rights Reserved. (v2.35.6 220f0715) Legal | Privacy Policy