From 7ef2b599c7a9149d7757afbc965412c65144a147 Mon Sep 17 00:00:00 2001
From: gorogm <gorogm@gmail.com>
Date: Tue, 28 Aug 2018 05:25:50 +0200
Subject: [PATCH] Link fixed. (#3640)

---
 doc/parameter.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/parameter.rst b/doc/parameter.rst
index ce4a3ada0..90793840a 100644
--- a/doc/parameter.rst
+++ b/doc/parameter.rst
@@ -123,7 +123,7 @@ Parameters for Tree Booster
 
 * ``scale_pos_weight`` [default=1]
 
-  - Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: ``sum(negative instances) / sum(positive instances)``. See `Parameters Tuning </tutorials/param_tuning>`_ for more discussion. Also, see Higgs Kaggle competition demo for examples: `R <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-train.R>`_, `py1 <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-numpy.py>`_, `py2 <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-cv.py>`_, `py3 <https://github.com/dmlc/xgboost/blob/master/demo/guide-python/cross_validation.py>`_.
+  - Control the balance of positive and negative weights, useful for unbalanced classes. A typical value to consider: ``sum(negative instances) / sum(positive instances)``. See :doc:`Parameters Tuning </tutorials/param_tuning>` for more discussion. Also, see Higgs Kaggle competition demo for examples: `R <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-train.R>`_, `py1 <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-numpy.py>`_, `py2 <https://github.com/dmlc/xgboost/blob/master/demo/kaggle-higgs/higgs-cv.py>`_, `py3 <https://github.com/dmlc/xgboost/blob/master/demo/guide-python/cross_validation.py>`_.
 
 * ``updater`` [default= ``grow_colmaker,prune``]