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anaconda.org : _r-xgboost-mutex
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.
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purl: pkg:conda/_r-xgboost-mutex
Keywords: distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost
License: Apache-2.0
Latest release: almost 2 years ago
First release: almost 2 years ago
Dependent packages: 2
Dependent repositories: 1
Stars: 23,883 on GitHub
Forks: 8,557 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://opencollective.com/xgboost, https://xgboost.ai/sponsors
Last synced: 15 days ago
r-xgboost 1.7.3 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...4 versions - Latest release: over 1 year ago - 4 dependent packages - 3 dependent repositories - 23,883 stars on GitHub
r-xgboost 1.7.1 💰
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, fl...18 versions - Latest release: over 1 year ago - 7 dependent packages - 3 dependent repositories - 23,883 stars on GitHub