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"""Scikit-Optimize, or `skopt`, is a simple and efficient library for optimizing (very)
expensive and noisy black-box functions.
It implements
several methods for sequential model-based optimization. `skopt` aims
to be accessible and easy to use in many contexts.
"""
import importlib
import multiprocessing as mp
import platform
import struct
from importlib.metadata import version, PackageNotFoundError
try:
__version__ = version("scikit-optimize")
except PackageNotFoundError:
__version__ = '?.?.?' # Not installed
from . import (
acquisition,
benchmarks,
callbacks,
learning,
optimizer,
sampler,
space,
)
from .optimizer import (
dummy_minimize,
forest_minimize,
gbrt_minimize,
gp_minimize,
Optimizer,
)
from .searchcv import BayesSearchCV
from .space import Space
from .utils import dump, load, expected_minimum, expected_minimum_random_sampling
__all__ = (
"show_versions",
"acquisition",
"benchmarks",
"callbacks",
"learning",
"optimizer",
"plots",
"sampler",
"space",
"gp_minimize",
"dummy_minimize",
"forest_minimize",
"gbrt_minimize",
"Optimizer",
"dump",
"load",
"expected_minimum",
"expected_minimum_random_sampling",
"BayesSearchCV",
"Space",
)
_IS_32BIT = 8 * struct.calcsize("P") == 32
def show_versions():
"""Provide useful information, important for bug reports."""
print('Platform:', platform.platform())
print('Python:', platform.python_version())
print('CPU count:', mp.cpu_count())
print('scikit-optimize', __version__)
for pkg in ('sklearn', 'numpy', 'scipy'):
print(f'{pkg}:', importlib.import_module(pkg).__version__)
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