Use config_context in sklearn interface. (#8141)

2022-08-09 14:48:54 +08:00
parent 03cc3b359c
commit 9ae547f994
8 changed files with 560 additions and 438 deletions
--- a/doc/tutorials/dask.rst
+++ b/doc/tutorials/dask.rst
@@ -115,7 +115,7 @@ Alternatively, XGBoost also implements the Scikit-Learn interface with
 :py:class:`~xgboost.dask.DaskXGBRanker` and 2 random forest variances.  This wrapper is
 similar to the single node Scikit-Learn interface in xgboost, with dask collection as
 inputs and has an additional ``client`` attribute.  See following sections and
-:ref:`sphx_glr_python_dask-examples` for more examples.
+:ref:`dask-examples` for more examples.


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