[doc] Brief introduction to base_score. (#9882)

2023-12-17 13:34:34 +08:00
parent db7f952ed6
commit 0edd600f3d
6 changed files with 114 additions and 6 deletions
--- a/doc/tutorials/custom_metric_obj.rst
+++ b/doc/tutorials/custom_metric_obj.rst
@@ -271,7 +271,8 @@ available in XGBoost:
 We use ``multi:softmax`` to illustrate the differences of transformed prediction.  With
 ``softprob`` the output prediction array has shape ``(n_samples, n_classes)`` while for
 ``softmax`` it's ``(n_samples, )``. A demo for multi-class objective function is also
-available at :ref:`sphx_glr_python_examples_custom_softmax.py`.
+available at :ref:`sphx_glr_python_examples_custom_softmax.py`. Also, see
+:doc:`/tutorials/intercept` for some more explanation.


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