import os from os.path import join import warnings from sklearn._build_utils import maybe_cythonize_extensions def configuration(parent_package='', top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.system_info import get_info, BlasNotFoundError import numpy libraries = [] if os.name == 'posix': libraries.append('m') config = Configuration('sklearn', parent_package, top_path) # submodules with build utilities config.add_subpackage('__check_build') config.add_subpackage('_build_utils') # submodules which do not have their own setup.py # we must manually add sub-submodules & tests config.add_subpackage('covariance') config.add_subpackage('covariance/tests') config.add_subpackage('cross_decomposition') config.add_subpackage('cross_decomposition/tests') config.add_subpackage('feature_selection') config.add_subpackage('feature_selection/tests') config.add_subpackage('gaussian_process') config.add_subpackage('gaussian_process/tests') config.add_subpackage('mixture') config.add_subpackage('mixture/tests') config.add_subpackage('model_selection') config.add_subpackage('model_selection/tests') config.add_subpackage('neural_network') config.add_subpackage('neural_network/tests') config.add_subpackage('preprocessing') config.add_subpackage('preprocessing/tests') config.add_subpackage('semi_supervised') config.add_subpackage('semi_supervised/tests') # submodules which have their own setup.py # leave out "linear_model" and "utils" for now; add them after cblas below config.add_subpackage('cluster') config.add_subpackage('datasets') config.add_subpackage('decomposition') config.add_subpackage('ensemble') config.add_subpackage('externals') config.add_subpackage('feature_extraction') config.add_subpackage('manifold') config.add_subpackage('metrics') config.add_subpackage('neighbors') config.add_subpackage('tree') config.add_subpackage('svm') # add cython extension module for isotonic regression config.add_extension('_isotonic', sources=['_isotonic.pyx'], include_dirs=[numpy.get_include()], libraries=libraries, ) # some libs needs cblas, fortran-compiled BLAS will not be sufficient blas_info = get_info('blas_opt', 0) if (not blas_info) or ( ('NO_ATLAS_INFO', 1) in blas_info.get('define_macros', [])): config.add_library('cblas', sources=[join('src', 'cblas', '*.c')]) warnings.warn(BlasNotFoundError.__doc__) # the following packages depend on cblas, so they have to be build # after the above. config.add_subpackage('linear_model') config.add_subpackage('utils') # add the test directory config.add_subpackage('tests') maybe_cythonize_extensions(top_path, config) return config if __name__ == '__main__': from numpy.distutils.core import setup setup(**configuration(top_path='').todict())