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anaconda.org : py-xgboost
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/py-xgboost
Keywords: distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost
License: Apache-2.0
Latest release: 10 days ago
First release: about 6 years ago
Dependent packages: 2
Dependent repositories: 122
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: 10 days ago