
| Current Path : /proc/thread-self/root/usr/local/lib/python3.8/dist-packages/sklearn/ensemble/ |
Linux ift1.ift-informatik.de 5.4.0-216-generic #236-Ubuntu SMP Fri Apr 11 19:53:21 UTC 2025 x86_64 |
| Current File : //proc/thread-self/root/usr/local/lib/python3.8/dist-packages/sklearn/ensemble/setup.py |
import numpy
from numpy.distutils.misc_util import Configuration
def configuration(parent_package="", top_path=None):
config = Configuration("ensemble", parent_package, top_path)
config.add_extension("_gradient_boosting",
sources=["_gradient_boosting.pyx"],
include_dirs=[numpy.get_include()])
config.add_subpackage("tests")
# Histogram-based gradient boosting files
config.add_extension(
"_hist_gradient_boosting._gradient_boosting",
sources=["_hist_gradient_boosting/_gradient_boosting.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting.histogram",
sources=["_hist_gradient_boosting/histogram.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting.splitting",
sources=["_hist_gradient_boosting/splitting.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting._binning",
sources=["_hist_gradient_boosting/_binning.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting._predictor",
sources=["_hist_gradient_boosting/_predictor.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting._loss",
sources=["_hist_gradient_boosting/_loss.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting._bitset",
sources=["_hist_gradient_boosting/_bitset.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting.common",
sources=["_hist_gradient_boosting/common.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension("_hist_gradient_boosting.utils",
sources=["_hist_gradient_boosting/utils.pyx"],
include_dirs=[numpy.get_include()])
config.add_subpackage("_hist_gradient_boosting.tests")
return config
if __name__ == "__main__":
from numpy.distutils.core import setup
setup(**configuration().todict())