From b6aa5ee82f61847f8511178047c21024335b4e93 Mon Sep 17 00:00:00 2001
From: Nikita Titov <nekit94-08@mail.ru>
Date: Tue, 10 Dec 2019 05:58:12 +0300
Subject: [PATCH] fixed broken link in docs (#2623)

---
 docs/Parameters.rst       | 2 +-
 include/LightGBM/config.h | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/Parameters.rst b/docs/Parameters.rst
index ed3d784ce..436dffd20 100644
--- a/docs/Parameters.rst
+++ b/docs/Parameters.rst
@@ -71,7 +71,7 @@ Core Parameters
 
       -  ``gamma``, Gamma regression with log-link. It might be useful, e.g., for modeling insurance claims severity, or for any target that might be `gamma-distributed <https://en.wikipedia.org/wiki/Gamma_distribution#Occurrence_and_applications>`__
 
-      -  ``tweedie``, Tweedie regression with log-link. It might be useful, e.g., for modeling total loss in insurance, or for any target that might be `tweedie-distributed <https://en.wikipedia.org/wiki/Tweedie_distribution#Applications>`__
+      -  ``tweedie``, Tweedie regression with log-link. It might be useful, e.g., for modeling total loss in insurance, or for any target that might be `tweedie-distributed <https://en.wikipedia.org/wiki/Tweedie_distribution#Occurrence_and_applications>`__
 
    -  ``binary``, binary `log loss <https://en.wikipedia.org/wiki/Cross_entropy>`__ classification (or logistic regression). Requires labels in {0, 1}; see ``cross-entropy`` application for general probability labels in [0, 1]
 
diff --git a/include/LightGBM/config.h b/include/LightGBM/config.h
index b5769774c..155b913f4 100644
--- a/include/LightGBM/config.h
+++ b/include/LightGBM/config.h
@@ -113,7 +113,7 @@ struct Config {
   // descl2 = ``quantile``, `Quantile regression <https://en.wikipedia.org/wiki/Quantile_regression>`__
   // descl2 = ``mape``, `MAPE loss <https://en.wikipedia.org/wiki/Mean_absolute_percentage_error>`__, aliases: ``mean_absolute_percentage_error``
   // descl2 = ``gamma``, Gamma regression with log-link. It might be useful, e.g., for modeling insurance claims severity, or for any target that might be `gamma-distributed <https://en.wikipedia.org/wiki/Gamma_distribution#Occurrence_and_applications>`__
-  // descl2 = ``tweedie``, Tweedie regression with log-link. It might be useful, e.g., for modeling total loss in insurance, or for any target that might be `tweedie-distributed <https://en.wikipedia.org/wiki/Tweedie_distribution#Applications>`__
+  // descl2 = ``tweedie``, Tweedie regression with log-link. It might be useful, e.g., for modeling total loss in insurance, or for any target that might be `tweedie-distributed <https://en.wikipedia.org/wiki/Tweedie_distribution#Occurrence_and_applications>`__
   // desc = ``binary``, binary `log loss <https://en.wikipedia.org/wiki/Cross_entropy>`__ classification (or logistic regression). Requires labels in {0, 1}; see ``cross-entropy`` application for general probability labels in [0, 1]
   // desc = multi-class classification application
   // descl2 = ``multiclass``, `softmax <https://en.wikipedia.org/wiki/Softmax_function>`__ objective function, aliases: ``softmax``