update doc

aksnzhy · Dec 5, 2017 · 5164e94 · 5164e94
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diff --git a/_build/doctrees/environment.pickle b/_build/doctrees/environment.pickle
diff --git a/_build/doctrees/index.doctree b/_build/doctrees/index.doctree
diff --git a/_build/html/_sources/index.rst.txt b/_build/html/_sources/index.rst.txt
@@ -61,7 +61,8 @@ Here is a simple python demo no how to use xLearn.
 
    # Prediction task
    ffm_model.setTest("./small_test.txt")  
-   ffm_model.setSigmoid()  # Convert output to 0~1
+   # Convert output to 0~1
+   ffm_model.setSigmoid()
    ffm_model.predict("./model.out", "./output.txt")  
 
 This example shows how to use xlearn to solve a simple binary classification task. 

diff --git a/_build/html/index.html b/_build/html/index.html
@@ -211,7 +211,8 @@ <h2>Python Demo<a class="headerlink" href="#python-demo" title="Permalink to thi
 
 <span class="c1"># Prediction task</span>
 <span class="n">ffm_model</span><span class="o">.</span><span class="n">setTest</span><span class="p">(</span><span class="s2">&quot;./small_test.txt&quot;</span><span class="p">)</span>
-<span class="n">ffm_model</span><span class="o">.</span><span class="n">setSigmoid</span><span class="p">()</span>  <span class="c1"># Convert output to 0~1</span>
+<span class="c1"># Convert output to 0~1</span>
+<span class="n">ffm_model</span><span class="o">.</span><span class="n">setSigmoid</span><span class="p">()</span>
 <span class="n">ffm_model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="s2">&quot;./model.out&quot;</span><span class="p">,</span> <span class="s2">&quot;./output.txt&quot;</span><span class="p">)</span>
 </pre></div>
 </div>

diff --git a/index.rst b/index.rst
@@ -61,7 +61,8 @@ Here is a simple python demo no how to use xLearn.
 
    # Prediction task
    ffm_model.setTest("./small_test.txt")  
-   ffm_model.setSigmoid()  # Convert output to 0~1
+   # Convert output to 0~1
+   ffm_model.setSigmoid()
    ffm_model.predict("./model.out", "./output.txt")  
 
 This example shows how to use xlearn to solve a simple binary classification task.