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Update document. (#5572)

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Jiaming Yuan 2020-04-22 02:37:37 +08:00 committed by GitHub
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commit f27b6f9ba6
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2 changed files with 2 additions and 5 deletions
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doc/gpu/index.rst
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@ -133,7 +133,8 @@ Most of the objective functions implemented in XGBoost can be run on GPU. Follo
Objective will run on GPU if GPU updater (``gpu_hist``), otherwise they will run on CPU by Objective will run on GPU if GPU updater (``gpu_hist``), otherwise they will run on CPU by
default. For unsupported objectives XGBoost will fall back to using CPU implementation by default. For unsupported objectives XGBoost will fall back to using CPU implementation by
default. default. Note that when using GPU ranking objective, the result is not deterministic due
to the non-associative aspect of floating point summation.
Metric functions Metric functions
=================== ===================

4
python-package/xgboost/sklearn.py
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@ -296,10 +296,6 @@ class XGBModel(XGBModelBase):
# 2. Return whatever in `**kwargs`. # 2. Return whatever in `**kwargs`.
# 3. Merge them. # 3. Merge them.
params = super().get_params(deep) params = super().get_params(deep)
if hasattr(self, '__copy__'):
warnings.warn('Calling __copy__ on Scikit-Learn wrapper, ' +
'which may disable data cache and result in ' +
'lower performance.')
cp = copy.copy(self) cp = copy.copy(self)
cp.__class__ = cp.__class__.__bases__[0] cp.__class__ = cp.__class__.__bases__[0]
params.update(cp.__class__.get_params(cp, deep)) params.update(cp.__class__.get_params(cp, deep))