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Pre-release

This release is a pre-release and may not be stable for production use.

PyPI version PyPI downloads

Installation

We are on PyPI now. For stable version, please install using pip:

  • pip install xgboost

  • Note for windows users: this pip installation may not work on some windows environment, and it may cause unexpected errors. pip installation on windows is currently disabled for further invesigation, please install from github.

For up-to-date version, please install from github.

  • To make the python module, type ./build.sh in the root directory of project

  • Make sure you have setuptools

  • Install with python setup.py install from this directory.

  • For windows users, please use the Visual Studio project file under windows folder. See also the installation tutorial from Kaggle Otto Forum.

Examples

Note

  • If you want to build xgboost on Mac OS X with multiprocessing support where clang in XCode by default doesn’t support, please install gcc 4.9 or higher using homebrew brew tap homebrew/versions; brew install gcc49

  • If you want to run XGBoost process in parallel using the fork backend for joblib/multiprocessing, you must build XGBoost without support for OpenMP by make no_omp=1. Otherwise, use the forkserver (in Python 3.4) or spawn backend. See the sklearn_parallel.py demo.

Release files for xgboost 0.4a30

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for xgboost 0.4a30
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xgboost-0.4a30.tar.gz 753.6 kB Details

Release files / xgboost-0.4a30.tar.gz

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3.4.1

7 release files

3.4.0

7 release files

3.3.0

6 release files

3.2.0

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3.1.3

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3.1.2

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3.1.1

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3.1.0

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3.0.5

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3.0.4

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3.0.3

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3.0.2

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3.0.1

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3.0.0

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2.1.4

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2.1.3

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2.1.2

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2.1.1

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2.0.3

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2.0.1

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2.0.0

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1.7.6

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1.7.5

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0.90

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0.71

1 release file

0.7.post2

0.7.post1

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0.6

This release

0.4a30 This release

1 release file

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