XGBoost Python Package
Project description
The xgboost-cpu package provides for a minimal installation, with no support for the GPU algorithms or federated learning. It is provided to allow XGBoost to be installed in a space-constrained environment.
Note. xgboost-cpu package is only provided for x86_64 (amd64) Linux and Windows platforms. For other platforms, please install xgboost from https://pypi.org/project/xgboost/.
Note. xgboost-cpu does not provide an sdist (source distribution). You may install sdist from https://pypi.org/project/xgboost/.
Installation
From PyPI
For a stable version, install using pip:
pip install xgboost-cpu
For building from source, see build.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file xgboost_cpu-3.2.0.tar.gz.
File metadata
- Download URL: xgboost_cpu-3.2.0.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27f1b1642815c23ee73065d5702ad24c1c1649d63e4e2f498dc7e6a961012281
|
|
| MD5 |
145a011003ef11c35f9052111b559d3d
|
|
| BLAKE2b-256 |
1c4389437af879315468860b0ef566647113102be898f28fc094b667166d6fe3
|
File details
Details for the file xgboost_cpu-3.2.0-py3-none-win_arm64.whl.
File metadata
- Download URL: xgboost_cpu-3.2.0-py3-none-win_arm64.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 3, Windows ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78fc90c09d7a1a1603ebb3a1c341689096797160c35a996d6a096b03e20caab4
|
|
| MD5 |
015f036595044600d94850742a84ee70
|
|
| BLAKE2b-256 |
1b0a595eff7c5603f6ba49b7ce1501bafed8ce3039ed2dcaadd61748d1be9ecd
|
File details
Details for the file xgboost_cpu-3.2.0-py3-none-win_amd64.whl.
File metadata
- Download URL: xgboost_cpu-3.2.0-py3-none-win_amd64.whl
- Upload date:
- Size: 2.1 MB
- Tags: Python 3, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bfe72e42f73d2c6870a1a8b75324d56ae86ddad9abd4dccefeb36f2c3196dd48
|
|
| MD5 |
20ed396b57f3cbf1d31a5dfbd0142a6a
|
|
| BLAKE2b-256 |
ccb63981ecd0f11992203254bb5a94002a6b07ada12d0e660f01f6e742d15795
|
File details
Details for the file xgboost_cpu-3.2.0-py3-none-manylinux_2_28_x86_64.whl.
File metadata
- Download URL: xgboost_cpu-3.2.0-py3-none-manylinux_2_28_x86_64.whl
- Upload date:
- Size: 5.6 MB
- Tags: Python 3, manylinux: glibc 2.28+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9c10b1653e1a689bf4094a328144cf3633c9be0e5217a76fbdc2fde6abcb2950
|
|
| MD5 |
36d99f8c5b38df07d2b2b8c189a672e3
|
|
| BLAKE2b-256 |
ba1dc05e982a2220e1a208f5ca8792265cefb43e860e8796bff3245cc94fc2ce
|
File details
Details for the file xgboost_cpu-3.2.0-py3-none-manylinux_2_28_aarch64.whl.
File metadata
- Download URL: xgboost_cpu-3.2.0-py3-none-manylinux_2_28_aarch64.whl
- Upload date:
- Size: 5.2 MB
- Tags: Python 3, manylinux: glibc 2.28+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
896b9e2bc52ec0921edf92ddd1cebedf47032e94992b7aca0293524d380ce6e9
|
|
| MD5 |
e9f03f0f3aef80f7e536d10cb560c6e7
|
|
| BLAKE2b-256 |
163db996f80a52e6a4f7c5ed1851bfc1f4e8dae2dc7670ef8b0ca283b3006e3b
|