update doc

aksnzhy · Dec 20, 2017 · 068f7ca · 068f7ca
1 parent 40a97e6
commit 068f7ca
Show file tree

Hide file tree

Showing 6 changed files with 10 additions and 7 deletions.
diff --git a/_build/doctrees/demo.doctree b/_build/doctrees/demo.doctree
diff --git a/_build/doctrees/environment.pickle b/_build/doctrees/environment.pickle
diff --git a/_build/html/_sources/demo.rst.txt b/_build/html/_sources/demo.rst.txt
@@ -98,8 +98,9 @@ The follow code is the Python demo:
 House Price Prediction
 -----------------------------
 
-This challenge comes from the Kaggle. The Ames Housing dataset was compiled by Dean De Cock for use in data science education. 
-It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston 
+This demo shows how to use xLearn to solve the regression problem, and it comes from the Kaggle. The Ames 
+Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative 
+for data scientists looking for a modernized and expanded version of the often cited Boston 
 Housing dataset. (`Link`__)
 
 You can find the data used in this demo in the path ``/demo/regression/house_price/``.

diff --git a/_build/html/demo.html b/_build/html/demo.html
@@ -254,8 +254,9 @@ <h2>Predict Survival in Titanic<a class="headerlink" href="#predict-survival-in-
 </div>
 <div class="section" id="house-price-prediction">
 <h2>House Price Prediction<a class="headerlink" href="#house-price-prediction" title="Permalink to this headline">¶</a></h2>
-<p>This challenge comes from the Kaggle. The Ames Housing dataset was compiled by Dean De Cock for use in data science education.
-It’s an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston
+<p>This demo shows how to use xLearn to solve the regression problem, and it comes from the Kaggle. The Ames
+Housing dataset was compiled by Dean De Cock for use in data science education. It’s an incredible alternative
+for data scientists looking for a modernized and expanded version of the often cited Boston
 Housing dataset. (<a class="reference external" href="https://www.kaggle.com/c/house-prices-advanced-regression-techniques">Link</a>)</p>
 <p>You can find the data used in this demo in the path <code class="docutils literal"><span class="pre">/demo/regression/house_price/</span></code>.</p>
 <p>The follow code is the Python demo:</p>

diff --git a/_build/html/searchindex.js b/_build/html/searchindex.js
diff --git a/demo.rst b/demo.rst
@@ -98,8 +98,9 @@ The follow code is the Python demo:
 House Price Prediction
 -----------------------------
 
-This challenge comes from the Kaggle. The Ames Housing dataset was compiled by Dean De Cock for use in data science education. 
-It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston 
+This demo shows how to use xLearn to solve the regression problem, and it comes from the Kaggle. The Ames 
+Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative 
+for data scientists looking for a modernized and expanded version of the often cited Boston 
 Housing dataset. (`Link`__)
 
 You can find the data used in this demo in the path ``/demo/regression/house_price/``.