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.
| Uploaded | Mon Mar 31 01:02:35 2025 |
| md5 checksum | 5642b68ef6dad60b3b51cca81d336ee2 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| depends | py-xgboost 2.0.3 py310h06a4308_1, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 5642b68ef6dad60b3b51cca81d336ee2 |
| name | py-xgboost-cpu |
| platform | linux |
| sha1 | a69882ae7a080a0192a1308a8cf0ee0ac3323fa2 |
| sha256 | 684a07b714777e34b89f47172f9f61034d785c439683561babfd51cee517c3ac |
| size | 10727 |
| subdir | linux-64 |
| timestamp | 1728569428741 |
| version | 2.0.3 |