def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('linear_model', parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension('_cd_fast',
sources=['_cd_fast.pyx'],
include_dirs=numpy.get_include(),
libraries=libraries)
config.add_extension('_sgd_fast',
sources=['_sgd_fast.pyx'],
include_dirs=numpy.get_include(),
libraries=libraries)
# generate sag_fast from template
templates = ['sklearn/linear_model/_sag_fast.pyx.tp']
gen_from_templates(templates, top_path)
config.add_extension('_sag_fast',
sources=['_sag_fast.pyx'],
include_dirs=numpy.get_include())
# add other directories
config.add_subpackage('tests')
config.add_subpackage('_glm')
config.add_subpackage('_glm/tests')
return config
def configuration(parent_package="", top_path=None):
config = Configuration("metrics", parent_package, top_path)
libraries = []
if os.name == "posix":
libraries.append("m")
config.add_subpackage("_plot")
config.add_subpackage("_plot.tests")
config.add_subpackage("cluster")
config.add_subpackage("_pairwise_distances_reduction")
config.add_extension(
"_pairwise_fast", sources=["_pairwise_fast.pyx"], libraries=libraries
)
templates = [
"sklearn/metrics/_dist_metrics.pyx.tp",
"sklearn/metrics/_dist_metrics.pxd.tp",
]
gen_from_templates(templates)
config.add_extension(
"_dist_metrics",
sources=["_dist_metrics.pyx"],
include_dirs=[np.get_include(), os.path.join(np.get_include(), "numpy")],
libraries=libraries,
)
config.add_subpackage("tests")
return config
def configuration(parent_package="", top_path=None):
config = Configuration("_loss", parent_package, top_path)
# generate _loss.pyx from template
templates = ["sklearn/_loss/_loss.pyx.tp"]
gen_from_templates(templates)
config.add_extension(
"_loss",
sources=["_loss.pyx"],
include_dirs=[numpy.get_include()],
# define_macros=[("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION")],
)
return config
def configuration(parent_package="", top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration("linear_model", parent_package, top_path)
libraries = []
if os.name == "posix":
libraries.append("m")
config.add_extension(
"_cd_fast",
sources=["_cd_fast.pyx"],
include_dirs=numpy.get_include(),
libraries=libraries,
)
config.add_extension(
"_sgd_fast",
sources=["_sgd_fast.pyx"],
include_dirs=numpy.get_include(),
libraries=libraries,
)
# generate sag_fast from template
templates = ["sklearn/linear_model/_sag_fast.pyx.tp"]
gen_from_templates(templates, top_path)
config.add_extension(
"_sag_fast", sources=["_sag_fast.pyx"], include_dirs=numpy.get_include()
)
# add other directories
config.add_subpackage("tests")
config.add_subpackage("_glm")
config.add_subpackage("_glm/tests")
return config
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
libraries = []
if os.name == 'posix':
libraries.append('m')
config.add_extension('sparsefuncs_fast',
sources=['sparsefuncs_fast.pyx'],
libraries=libraries)
config.add_extension('_cython_blas',
sources=['_cython_blas.pyx'],
libraries=libraries)
config.add_extension('arrayfuncs',
sources=['arrayfuncs.pyx'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension('murmurhash',
sources=['murmurhash.pyx', join(
'src', 'MurmurHash3.cpp')],
include_dirs=['src'])
config.add_extension('graph_shortest_path',
sources=['graph_shortest_path.pyx'],
include_dirs=[numpy.get_include()])
config.add_extension('_fast_dict',
sources=['_fast_dict.pyx'],
language="c++",
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension('_openmp_helpers',
sources=['_openmp_helpers.pyx'],
libraries=libraries)
# generate _seq_dataset from template
templates = ['sklearn/utils/_seq_dataset.pyx.tp',
'sklearn/utils/_seq_dataset.pxd.tp']
gen_from_templates(templates, top_path)
config.add_extension('_seq_dataset',
sources=['_seq_dataset.pyx'],
include_dirs=[numpy.get_include()])
config.add_extension('_weight_vector',
sources=['_weight_vector.pyx'],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("_random",
sources=["_random.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_extension("_logistic_sigmoid",
sources=["_logistic_sigmoid.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries)
config.add_subpackage('tests')
return config
def configuration(parent_package="", top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration("utils", parent_package, top_path)
libraries = []
if os.name == "posix":
libraries.append("m")
config.add_extension("sparsefuncs_fast",
sources=["sparsefuncs_fast.pyx"],
libraries=libraries)
config.add_extension("_cython_blas",
sources=["_cython_blas.pyx"],
libraries=libraries)
config.add_extension(
"arrayfuncs",
sources=["arrayfuncs.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension(
"murmurhash",
sources=["murmurhash.pyx",
join("src", "MurmurHash3.cpp")],
include_dirs=["src"],
)
config.add_extension(
"_fast_dict",
sources=["_fast_dict.pyx"],
language="c++",
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension("_openmp_helpers",
sources=["_openmp_helpers.pyx"],
libraries=libraries)
# generate files from a template
templates = [
"sklearn/utils/_seq_dataset.pyx.tp",
"sklearn/utils/_seq_dataset.pxd.tp",
"sklearn/utils/_weight_vector.pyx.tp",
"sklearn/utils/_weight_vector.pxd.tp",
]
gen_from_templates(templates)
config.add_extension("_seq_dataset",
sources=["_seq_dataset.pyx"],
include_dirs=[numpy.get_include()])
config.add_extension(
"_weight_vector",
sources=["_weight_vector.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension(
"_random",
sources=["_random.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension(
"_logistic_sigmoid",
sources=["_logistic_sigmoid.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension(
"_readonly_array_wrapper",
sources=["_readonly_array_wrapper.pyx"],
libraries=libraries,
)
config.add_extension(
"_typedefs",
sources=["_typedefs.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
)
config.add_extension(
"_heap",
sources=["_heap.pyx"],
libraries=libraries,
)
config.add_extension(
"_sorting",
sources=["_sorting.pyx"],
include_dirs=[numpy.get_include()],
language="c++",
libraries=libraries,
)
config.add_extension(
"_vector_sentinel",
sources=["_vector_sentinel.pyx"],
include_dirs=[numpy.get_include()],
libraries=libraries,
language="c++",
)
config.add_extension(
"_isfinite",
sources=["_isfinite.pyx"],
libraries=libraries,
)
config.add_subpackage("tests")
return config