update doc

_build/html/_sources/install.rst.txt

@@ -34,7 +34,7 @@ Building xLearn from source code consists two steps:
 First, build the executable files (``xlearn_train`` and ``xlearn_predict``) and the shared library 
 (``libxlearn.so`` for Linux and ``libxlearn.dylib`` for Mac OSX) from the C++ code.
 
-Then, install the python package.
+Then, you can install the python package through ``install-python.sh``.
 
 Fortunately, we write a script ``build.sh`` to do all the things for users.
 
@@ -47,10 +47,12 @@ and then build xLearn using the folloing commands ::
   cd xlearn
   ./build.sh
 
+The ``build.sh`` will build xLearn in ``build`` directory in current path.
+
 Test
 ----------------------------------
 
-Now you can test your building by using xLearn command line ::
+Now you can test your installation by using the following xLearn command line ::
 
   cd build
   ./run_example.sh

_build/html/install.html

@@ -197,7 +197,7 @@ <h2>Install xLearn from Source Code<a class="headerlink" href="#install-xlearn-f
 <p>Building xLearn from source code consists two steps:</p>
 <p>First, build the executable files (<code class="docutils literal"><span class="pre">xlearn_train</span></code> and <code class="docutils literal"><span class="pre">xlearn_predict</span></code>) and the shared library
 (<code class="docutils literal"><span class="pre">libxlearn.so</span></code> for Linux and <code class="docutils literal"><span class="pre">libxlearn.dylib</span></code> for Mac OSX) from the C++ code.</p>
-<p>Then, install the python package.</p>
+<p>Then, you can install the python package through <code class="docutils literal"><span class="pre">install-python.sh</span></code>.</p>
 <p>Fortunately, we write a script <code class="docutils literal"><span class="pre">build.sh</span></code> to do all the things for users.</p>
 <p>For users, you just need to clone the code from github</p>
 <div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">aksnzhy</span><span class="o">/</span><span class="n">xlearn</span><span class="o">.</span><span class="n">git</span>
@@ -208,10 +208,11 @@ <h2>Install xLearn from Source Code<a class="headerlink" href="#install-xlearn-f
 <span class="o">./</span><span class="n">build</span><span class="o">.</span><span class="n">sh</span>
 </pre></div>
 </div>
+<p>The <code class="docutils literal"><span class="pre">build.sh</span></code> will build xLearn in <code class="docutils literal"><span class="pre">build</span></code> directory in current path.</p>
 </div>
 <div class="section" id="test">
 <h2>Test<a class="headerlink" href="#test" title="Permalink to this headline">¶</a></h2>
-<p>Now you can test your building by using xLearn command line</p>
+<p>Now you can test your installation by using the following xLearn command line</p>
 <div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">build</span>
 <span class="o">./</span><span class="n">run_example</span><span class="o">.</span><span class="n">sh</span>
 </pre></div>

install.rst

@@ -34,7 +34,7 @@ Building xLearn from source code consists two steps:
 First, build the executable files (``xlearn_train`` and ``xlearn_predict``) and the shared library 
 (``libxlearn.so`` for Linux and ``libxlearn.dylib`` for Mac OSX) from the C++ code.
 
-Then, install the python package.
+Then, you can install the python package through ``install-python.sh``.
 
 Fortunately, we write a script ``build.sh`` to do all the things for users.
 
@@ -47,10 +47,12 @@ and then build xLearn using the folloing commands ::
   cd xlearn
   ./build.sh
 
+The ``build.sh`` will build xLearn in ``build`` directory in current path.
+
 Test
 ----------------------------------
 
-Now you can test your building by using xLearn command line ::
+Now you can test your installation by using the following xLearn command line ::
 
   cd build
   ./run_example.sh