Source code for xorbits.xgboost.mars_adapters.core

# 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))

[docs] class XGBClassifier(BaseXGB): _mars_cls = MarsXGBClassifier
[docs] 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)