# Copyright 2022-2023 XProbe Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
try:
import xgboost
except ImportError: # pragma: no cover
xgboost = None
MARS_XGBOOST_CALLABLES = {}
if xgboost is not None:
import functools
import inspect
from typing import Callable, Dict, List, Optional
from ..._mars.learn.contrib import xgboost as mars_xgboost
from ..._mars.learn.contrib.xgboost.classifier import (
XGBClassifier as MarsXGBClassifier,
)
from ..._mars.learn.contrib.xgboost.regressor import (
XGBRegressor as MarsXGBRegressor,
)
from ...core.adapter import to_mars, wrap_mars_callable
from ...core.utils.docstring import attach_module_callable_docstring
class BaseXGB:
def __init__(self, *args, **kwargs):
self.mars_instance = self._mars_cls(*to_mars(args), **to_mars(kwargs))
[文档] class XGBClassifier(BaseXGB):
_mars_cls = MarsXGBClassifier
[文档] class XGBRegressor(BaseXGB):
_mars_cls = MarsXGBRegressor
xgboost_class_mappings: Dict = {
XGBClassifier: MarsXGBClassifier,
XGBRegressor: MarsXGBRegressor,
}
def wrap_cls_func(mars_cls: Callable, name: str):
@functools.wraps(getattr(mars_cls, name))
def wrapped(self, *args, **kwargs):
return getattr(self.mars_instance, name)(*args, **kwargs)
return wrap_mars_callable(
wrapped,
member_name=name,
attach_docstring=True,
is_cls_member=True,
docstring_src_module=xgboost,
docstring_src_cls=getattr(xgboost, mars_cls.__name__, None),
)
def _collect_module_callables(
skip_members: Optional[List[str]] = None,
) -> Dict[str, Callable]:
module_callables: Dict[str, Callable] = dict()
for name, func in inspect.getmembers(mars_xgboost, inspect.isfunction):
if skip_members is not None and name in skip_members:
continue
if name == "MarsDMatrix":
name = "DMatrix"
module_callables[name] = wrap_mars_callable(
func,
attach_docstring=True,
is_cls_member=False,
docstring_src_module=xgboost,
docstring_src=getattr(xgboost, name, None),
)
return module_callables
def _install_cls_members(module_callables: Dict[str, Callable]):
for k, v in xgboost_class_mappings.items():
module_callables[k.__name__] = k
for name, _ in inspect.getmembers(v, inspect.isfunction):
if not name.startswith("_"):
setattr(k, name, wrap_cls_func(v, name))
MARS_XGBOOST_CALLABLES = _collect_module_callables(skip_members=["register_op"])
_install_cls_members(MARS_XGBOOST_CALLABLES)
attach_module_callable_docstring(XGBClassifier, xgboost, xgboost.XGBClassifier)
attach_module_callable_docstring(XGBRegressor, xgboost, xgboost.XGBRegressor)