From 0a10dabd5af701836a89807afd0bcfb621f1e8d8 Mon Sep 17 00:00:00 2001
From: Evan Wang <32366240@qq.com>
Date: Tue, 2 Apr 2019 23:16:34 +0800
Subject: [PATCH] Update LogisticRegression.md

---
 docs/source/LogisticRegression.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/source/LogisticRegression.md b/docs/source/LogisticRegression.md
index d12b9074..a99d370c 100644
--- a/docs/source/LogisticRegression.md
+++ b/docs/source/LogisticRegression.md
@@ -13,7 +13,8 @@ The dependent variable of logistics regression can be two-category or multi-cate
 The general steps for regression problems are as follows:
 
 
-logistic回归则通过函数S将ax+b对应到一个隐状态p，p = S(ax+b)，然后根据p与1-p的大小决定因变量的值。这里的函数S就是Sigmoid函数
+logistic回归通过函数S将ax+b对应到一个隐状态p，p = S(ax+b)，然后根据p与1-p的大小决定因变量的值。这里的函数S就是Sigmoid函数
 https://www.cnblogs.com/Belter/p/6128644.html
 
+
 The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/LogisticRegression.cs).