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<div class="ttc" id="asetw_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/manip/setw.html">std::setw</a></div><div class="ttdeci">T setw(T... args)</div></div>
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<p>Implementation of <a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">Multilayer Perceptron</a>.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include &quot;<a class="el" href="../../d8/d95/vector__ops_8hpp_source.html">vector_ops.hpp</a>&quot;</code><br />
<div class="textblock"><code>#include &lt;algorithm&gt;</code><br />
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<code>#include &lt;fstream&gt;</code><br />
<code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;sstream&gt;</code><br />
<code>#include &lt;string&gt;</code><br />
<code>#include &lt;valarray&gt;</code><br />
<code>#include &lt;vector&gt;</code><br />
<code>#include &lt;cmath&gt;</code><br />
<code>#include &lt;algorithm&gt;</code><br />
<code>#include &lt;chrono&gt;</code><br />
<code>#include &lt;string&gt;</code><br />
<code>#include &lt;fstream&gt;</code><br />
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</dd>
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<dl class="section return"><dt>Returns</dt><dd>derivative of relu(x) </dd></dl>
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</dd>
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<dl class="section return"><dt>Returns</dt><dd>Returns x </dd></dl>
<div class="fragment"><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div>
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<p>Driver Code </p>
<div class="fragment"><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; {</div>
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<dl class="section return"><dt>Returns</dt><dd>Returns x * x </dd></dl>
<div class="fragment"><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; {</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">return</span> x * x;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; }</div>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;{ <span class="keywordflow">return</span> x * x; }</div>
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</dl>
<dl class="section return"><dt>Returns</dt><dd>Returns tanh(x) </dd></dl>
<div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; {</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">return</span> 2 / (1 + <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/math/exp.html">std::exp</a>(-2 * x)) - 1;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</div>
<div class="fragment"><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;{ <span class="keywordflow">return</span> 2 / (1 + <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/math/exp.html">std::exp</a>(-2 * x)) - 1; }</div>
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<p>Function to test neural network </p><dl class="section return"><dt>Returns</dt><dd>none </dd></dl>
<div class="fragment"><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; {</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160; <span class="comment">// Creating network with 3 layers for &quot;iris.csv&quot;</span></div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; <a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a> myNN =</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; <a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a>({</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; {4, <span class="stringliteral">&quot;none&quot;</span>}, <span class="comment">// First layer with 3 neurons and &quot;none&quot; as activation</span></div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; {6, <span class="stringliteral">&quot;relu&quot;</span>}, <span class="comment">// Second layer with 6 neurons and &quot;relu&quot; as activation</span></div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; {3, <span class="stringliteral">&quot;sigmoid&quot;</span>} <span class="comment">// Third layer with 3 neurons and &quot;sigmoid&quot; as activation</span></div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160; });</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; <span class="comment">// Printing summary of model</span></div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">summary</a>();</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; <span class="comment">// Training Model</span></div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a5172a6791b9bd24f4232bab8d6b81fff">fit_from_csv</a>(<span class="stringliteral">&quot;iris.csv&quot;</span>, <span class="keyword">true</span>, 100, 0.3, <span class="keyword">false</span>, 2, 32, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; <span class="comment">// Testing predictions of model</span></div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">single_predict</a>({{5,3.4,1.6,0.4}})) == 0);</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">single_predict</a>({{6.4,2.9,4.3,1.3}})) == 1);</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">single_predict</a>({{6.2,3.4,5.4,2.3}})) == 2);</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; {</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; <span class="comment">// Creating network with 3 layers for &quot;iris.csv&quot;</span></div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; <a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a> myNN =</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; <a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a>({</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; {4, <span class="stringliteral">&quot;none&quot;</span>}, <span class="comment">// First layer with 3 neurons and &quot;none&quot; as activation</span></div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; {6,</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; <span class="stringliteral">&quot;relu&quot;</span>}, <span class="comment">// Second layer with 6 neurons and &quot;relu&quot; as activation</span></div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; {3, <span class="stringliteral">&quot;sigmoid&quot;</span>} <span class="comment">// Third layer with 3 neurons and &quot;sigmoid&quot; as</span></div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160; <span class="comment">// activation</span></div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; });</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; <span class="comment">// Printing summary of model</span></div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">summary</a>();</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; <span class="comment">// Training Model</span></div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a5172a6791b9bd24f4232bab8d6b81fff">fit_from_csv</a>(<span class="stringliteral">&quot;iris.csv&quot;</span>, <span class="keyword">true</span>, 100, 0.3, <span class="keyword">false</span>, 2, 32, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; <span class="comment">// Testing predictions of model</span></div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">single_predict</a>({{5, 3.4, 1.6, 0.4}})) == 0);</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">single_predict</a>({{6.4, 2.9, 4.3, 1.3}})) == 1);</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; assert(<a class="code" href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a>(</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160; myNN.<a class="code" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">single_predict</a>({{6.2, 3.4, 5.4, 2.3}})) == 2);</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160;}</div>
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<div class="ttc" id="anamespacemachine__learning_html_a1b42d24ad7bedbfa8e5b59fe96987a44"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a></div><div class="ttdeci">size_t argmax(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:296</div></div>
<div class="ttc" id="aneural__network_8cpp_html_aa8dca7b867074164d5f45b0f3851269d"><div class="ttname"><a href="../../d2/d58/neural__network_8cpp.html#aa8dca7b867074164d5f45b0f3851269d">test</a></div><div class="ttdeci">static void test()</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:766</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_a26680e7a28b3925f83b984d2dfa52256"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">machine_learning::neural_network::NeuralNetwork::single_predict</a></div><div class="ttdeci">std::vector&lt; std::valarray&lt; double &gt; &gt; single_predict(const std::vector&lt; std::valarray&lt; double &gt;&gt; &amp;X)</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:453</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_a5172a6791b9bd24f4232bab8d6b81fff"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a5172a6791b9bd24f4232bab8d6b81fff">machine_learning::neural_network::NeuralNetwork::fit_from_csv</a></div><div class="ttdeci">void fit_from_csv(const std::string &amp;file_name, const bool &amp;last_label, const int &amp;epochs, const double &amp;learning_rate, const bool &amp;normalize, const int &amp;slip_lines=1, const size_t &amp;batch_size=32, const bool &amp;shuffle=true)</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:574</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></div><div class="ttdef"><b>Definition:</b> neural_network.cpp:261</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_a61d30113d13304c664057118b92a5931"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">machine_learning::neural_network::NeuralNetwork::summary</a></div><div class="ttdeci">void summary()</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:742</div></div>
<div class="ttc" id="anamespacemachine__learning_html_a1b42d24ad7bedbfa8e5b59fe96987a44"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a1b42d24ad7bedbfa8e5b59fe96987a44">machine_learning::argmax</a></div><div class="ttdeci">size_t argmax(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:307</div></div>
<div class="ttc" id="aneural__network_8cpp_html_aa8dca7b867074164d5f45b0f3851269d"><div class="ttname"><a href="../../d2/d58/neural__network_8cpp.html#aa8dca7b867074164d5f45b0f3851269d">test</a></div><div class="ttdeci">static void test()</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:805</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_a5172a6791b9bd24f4232bab8d6b81fff"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a5172a6791b9bd24f4232bab8d6b81fff">machine_learning::neural_network::NeuralNetwork::fit_from_csv</a></div><div class="ttdeci">void fit_from_csv(const std::string &amp;file_name, const bool &amp;last_label, const int &amp;epochs, const double &amp;learning_rate, const bool &amp;normalize, const int &amp;slip_lines=1, const size_t &amp;batch_size=32, const bool &amp;shuffle=true)</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:587</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></div><div class="ttdef"><b>Definition:</b> neural_network.cpp:247</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_a61d30113d13304c664057118b92a5931"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">machine_learning::neural_network::NeuralNetwork::summary</a></div><div class="ttdeci">void summary()</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:773</div></div>
<div class="ttc" id="aexp_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/numeric/math/exp.html">std::exp</a></div><div class="ttdeci">T exp(T... args)</div></div>
<div class="ttc" id="aclassmachine__learning_1_1neural__network_1_1_neural_network_html_ac130322a5abb1ff763b7c1a55405a35e"><div class="ttname"><a href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">machine_learning::neural_network::NeuralNetwork::single_predict</a></div><div class="ttdeci">std::vector&lt; std::valarray&lt; double &gt; &gt; single_predict(const std::vector&lt; std::valarray&lt; double &gt;&gt; &amp;X)</div><div class="ttdef"><b>Definition:</b> neural_network.cpp:451</div></div>
<div class="ttc" id="amax_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/algorithm/max.html">std::max</a></div><div class="ttdeci">T max(T... args)</div></div>
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<p><a href="https://en.wikipedia.org/wiki/Eight_queens_puzzle">Eight Queens</a> puzzle, printing all solutions
<a href="#details">More...</a></p>
<div class="textblock"><code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;array&gt;</code><br />
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<tr class="memdesc:df/d44/namespacen__queens__all__solutions"><td class="mdescLeft">&#160;</td><td class="mdescRight">Functions for <a href="https://en.wikipedia.org/wiki/Eight_queens_puzzle">Eight Queens</a> puzzle with all solutions. <br /></td></tr>
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Functions</h2></td></tr>
<tr class="memitem:aebd5e11fab6dab282efccfb61beb0bd9"><td class="memTemplParams" colspan="2">template&lt;size_t n&gt; </td></tr>
<tr class="memitem:aebd5e11fab6dab282efccfb61beb0bd9"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d7/d24/nqueen__print__all__solutions_8cpp.html#aebd5e11fab6dab282efccfb61beb0bd9">backtracking::n_queens_all_solutions::PrintSol</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; int, n &gt;, n &gt; &amp;board)</td></tr>
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<tr class="memitem:aea343d8a72a39c9a4c0fbcbc362f2648"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d7/d24/nqueen__print__all__solutions_8cpp.html#aea343d8a72a39c9a4c0fbcbc362f2648">backtracking::n_queens_all_solutions::CanIMove</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; int, n &gt;, n &gt; &amp;board, int row, int col)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p><a href="https://en.wikipedia.org/wiki/Eight_queens_puzzle">Eight Queens</a> puzzle, printing all solutions </p>
<dl class="section author"><dt>Author</dt><dd><a href="https://github.com/Himani2000">Himani Negi</a> </dd>
<dd>
<a href="https://github.com/Panquesito7">David Leal</a> </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
<a id="aea343d8a72a39c9a4c0fbcbc362f2648"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aea343d8a72a39c9a4c0fbcbc362f2648">&#9670;&nbsp;</a></span>CanIMove()</h2>
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template&lt;size_t n&gt; </div>
<table class="memname">
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<td class="memname">bool backtracking::n_queens_all_solutions::CanIMove </td>
<td>(</td>
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<td class="paramkey"></td>
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<p>Check if a queen can be placed on matrix </p><dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">n</td><td>number of matrix size </td></tr>
</table>
</dd>
</dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">board</td><td>matrix where numbers are saved </td></tr>
<tr><td class="paramname">row</td><td>current index in rows </td></tr>
<tr><td class="paramname">col</td><td>current index in columns </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd><code>true</code> if queen can be placed on matrix </dd>
<dd>
<code>false</code> if queen can't be placed on matrix </dd></dl>
<p>check in the row</p>
<p>check the first diagonal</p>
<p>check the second diagonal</p>
<div class="fragment"><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {<span class="comment"></span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"> /// check in the row</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"></span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; col; i++) {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">if</span> (board[row][i] == 1) {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; }<span class="comment"></span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> /// check the first diagonal</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"></span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = row, j = col; i &gt;= 0 &amp;&amp; j &gt;= 0; i--, j--) {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">if</span> (board[i][j] == 1) {</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; }<span class="comment"></span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="comment"> /// check the second diagonal</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"></span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = row, j = col; i &lt;= n - 1 &amp;&amp; j &gt;= 0; i++, j--) {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">if</span> (board[i][j] == 1) {</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; }</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ae66f6b31b5ad750f1fe042a706a4e3d4">&#9670;&nbsp;</a></span>main()</h2>
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<td class="memname">int main </td>
<td>(</td>
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<p>Main function </p>
<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> n = 4;</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array&lt;std::array&lt;int, n&gt;</a>, n&gt; board{0};</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="../../d7/d24/nqueen__print__all__solutions_8cpp.html#acc809c055f335011de0d9030034c7108">backtracking::n_queens_all_solutions::NQueenSol</a>(board, 0);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div>
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<a id="acc809c055f335011de0d9030034c7108"></a>
<h2 class="memtitle"><span class="permalink"><a href="#acc809c055f335011de0d9030034c7108">&#9670;&nbsp;</a></span>NQueenSol()</h2>
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template&lt;size_t n&gt; </div>
<table class="memname">
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<td class="memname">void backtracking::n_queens_all_solutions::NQueenSol </td>
<td>(</td>
<td class="paramtype"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; int, n &gt;, n &gt;&#160;</td>
<td class="paramname"><em>board</em>, </td>
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<td></td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>col</em>&#160;</td>
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<td>)</td>
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<p>Solve n queens problem </p><dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">n</td><td>number of matrix size </td></tr>
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</dd>
</dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">board</td><td>matrix where numbers are saved </td></tr>
<tr><td class="paramname">col</td><td>current index in columns </td></tr>
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</dd>
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<div class="fragment"><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; {</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">if</span> (col &gt;= n) {</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; PrintSol(board);</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">if</span> (CanIMove(board, i, col)) {</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; board[i][col] = 1;</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; NQueenSol(board, col + 1);</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; board[i][col] = 0;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#aebd5e11fab6dab282efccfb61beb0bd9">&#9670;&nbsp;</a></span>PrintSol()</h2>
<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;size_t n&gt; </div>
<table class="memname">
<tr>
<td class="memname">void backtracking::n_queens_all_solutions::PrintSol </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/array.html">std::array</a>&lt; int, n &gt;, n &gt; &amp;&#160;</td>
<td class="paramname"><em>board</em></td><td>)</td>
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<p>Utility function to print matrix </p><dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">n</td><td>number of matrix size </td></tr>
</table>
</dd>
</dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">board</td><td>matrix where numbers are saved </td></tr>
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</dd>
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<div class="fragment"><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; board[i][j] &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;}</div>
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<tr class="even"><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a4f14e473bb0722c6490b9dc8da5982aa">save_model</a>(const std::string &amp;_file_name)</td><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a26680e7a28b3925f83b984d2dfa52256">single_predict</a>(const std::vector&lt; std::valarray&lt; double &gt;&gt; &amp;X)</td><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">single_predict</a>(const std::vector&lt; std::valarray&lt; double &gt;&gt; &amp;X)</td><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr class="even"><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">summary</a>()</td><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
<tr><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a8973f687738ddd76f93b5562feae4027">~NeuralNetwork</a>()=default</td><td class="entry"><a class="el" href="../../d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html">machine_learning::neural_network::NeuralNetwork</a></td><td class="entry"></td></tr>
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@@ -137,9 +137,9 @@ Functions</h2></td></tr>
<tr class="memitem:a4dd9a9df9f8f05327bcf7b58b0a86576"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
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<tr class="memitem:ac7d9b358f1ef2ba2a1d475a5452ec41f"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
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<tr class="separator:ac7d9b358f1ef2ba2a1d475a5452ec41f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9225f0ded976096b45ffe13c75d33c05"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a9225f0ded976096b45ffe13c75d33c05"><td class="memTemplItemLeft" align="right" valign="top"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt; &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d8/d77/namespacemachine__learning.html#a9225f0ded976096b45ffe13c75d33c05">operator+</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;A, const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;B)</td></tr>
<tr class="separator:a9225f0ded976096b45ffe13c75d33c05"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5f42063207181529413d812ade52f58e"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a5f42063207181529413d812ade52f58e"><td class="memTemplItemLeft" align="right" valign="top"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt; &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d8/d77/namespacemachine__learning.html#a5f42063207181529413d812ade52f58e">operator-</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;A, const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;B)</td></tr>
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<tr class="memitem:a7491744dcfc8844338d55065d0cd0c79"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a7491744dcfc8844338d55065d0cd0c79"><td class="memTemplItemLeft" align="right" valign="top"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt; &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d8/d77/namespacemachine__learning.html#a7491744dcfc8844338d55065d0cd0c79">multiply</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;A, const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;B)</td></tr>
<tr class="separator:a7491744dcfc8844338d55065d0cd0c79"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6ef38e5947aef609f908bfbfeaf11d75"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a6ef38e5947aef609f908bfbfeaf11d75"><td class="memTemplItemLeft" align="right" valign="top"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt; &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d8/d77/namespacemachine__learning.html#a6ef38e5947aef609f908bfbfeaf11d75">hadamard_product</a> (const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;A, const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;B)</td></tr>
<tr class="separator:a6ef38e5947aef609f908bfbfeaf11d75"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
Variables</h2></td></tr>
@@ -195,8 +195,8 @@ Variables</h2></td></tr>
<div class="textblock"><p>Machine learning algorithms. </p>
<p>Machine Learning algorithms. </p>
</div><h2 class="groupheader">Function Documentation</h2>
<a id="ac33041816bc333896b86a9c2042047fd"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac33041816bc333896b86a9c2042047fd">&#9670;&nbsp;</a></span>apply_function()</h2>
<a id="a8b3b06a63bd16b91237c85a295309774"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a8b3b06a63bd16b91237c85a295309774">&#9670;&nbsp;</a></span>apply_function()</h2>
<div class="memitem">
<div class="memproto">
@@ -204,7 +204,7 @@ Variables</h2></td></tr>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::apply_function </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::apply_function </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -236,13 +236,14 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; {</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B = A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; b = b.apply(func); <span class="comment">// Apply function to that row</span></div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; }</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; {</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B =</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; b = b.apply(func); <span class="comment">// Apply function to that row</span></div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; }</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;}</div>
</div><!-- fragment -->
</div>
</div>
@@ -276,16 +277,19 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>index of maximum element </dd></dl>
<div class="fragment"><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; {</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <span class="comment">// As this function is used on predicted (or target) vector, shape should be (1, X) </span></div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="keywordflow">if</span>(shape.first != 1) {</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (argmax) Supplied vector is ineligible for argmax&quot;</span> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE); </div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; }</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="comment">// Return distance of max element from first element (i.e. index)</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="keywordflow">return</span> <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/distance.html">std::distance</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/begin.html">std::begin</a>(A[0]), <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max_element.html">std::max_element</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/begin.html">std::begin</a>(A[0]), <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/end.html">std::end</a>(A[0])));</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; {</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="comment">// As this function is used on predicted (or target) vector, shape should be</span></div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; <span class="comment">// (1, X)</span></div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <span class="keywordflow">if</span> (shape.first != 1) {</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Supplied vector is ineligible for argmax&quot;</span> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="comment">// Return distance of max element from first element (i.e. index)</span></div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordflow">return</span> <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/distance.html">std::distance</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/begin.html">std::begin</a>(A[0]),</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max_element.html">std::max_element</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/begin.html">std::begin</a>(A[0]), <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/iterator/end.html">std::end</a>(A[0])));</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;}</div>
</div><!-- fragment --><div class="dynheader">
Here is the call graph for this function:</div>
<div class="dyncontent">
@@ -295,8 +299,8 @@ Here is the call graph for this function:</div>
</div>
</div>
<a id="aaf373bce30d78abce6e237cea702a885"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aaf373bce30d78abce6e237cea702a885">&#9670;&nbsp;</a></span>equal_shuffle()</h2>
<a id="a62a418f243cd52b49f59015dddff188e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a62a418f243cd52b49f59015dddff188e">&#9670;&nbsp;</a></span>equal_shuffle()</h2>
<div class="memitem">
<div class="memproto">
@@ -306,13 +310,13 @@ template&lt;typename T &gt; </div>
<tr>
<td class="memname">void machine_learning::equal_shuffle </td>
<td>(</td>
<td class="paramtype"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &gt; &amp;&#160;</td>
<td class="paramtype"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &gt; &amp;&#160;</td>
<td class="paramtype"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>B</em>&#160;</td>
</tr>
<tr>
@@ -335,28 +339,29 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="comment">// If two vectors have different sizes</span></div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordflow">if</span>(A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() != B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>())</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; {</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR : Can not equally shuffle two vectors with different sizes: &quot;</span>;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; }</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every element in A and B</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="comment">// Genrating random index &lt; size of A and B</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/srand.html">std::srand</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/chrono/system_clock/now.html">std::chrono::system_clock::now</a>().time_since_epoch().count());</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordtype">size_t</span> random_index = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/rand.html">std::rand</a>() % A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>();</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// Swap elements in both A and B with same random index</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/swap.html">std::swap</a>(A[i], A[random_index]);</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/swap.html">std::swap</a>(B[i], B[random_index]);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; {</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// If two vectors have different sizes</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">if</span> (A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() != B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>()) {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a></div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; &lt;&lt; <span class="stringliteral">&quot;Can not equally shuffle two vectors with different sizes: &quot;</span>;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>() &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; }</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every element in A and B</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="comment">// Genrating random index &lt; size of A and B</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/srand.html">std::srand</a>(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/chrono/system_clock/now.html">std::chrono::system_clock::now</a>().time_since_epoch().count());</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keywordtype">size_t</span> random_index = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/rand.html">std::rand</a>() % A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>();</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="comment">// Swap elements in both A and B with same random index</span></div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/swap.html">std::swap</a>(A[i], A[random_index]);</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/swap.html">std::swap</a>(B[i], B[random_index]);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; }</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;}</div>
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@@ -392,22 +397,23 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>shape as pair </dd></dl>
<div class="fragment"><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; {</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> sub_size = (*A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/begin.html">begin</a>()).size();</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) {</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="comment">// If supplied vector don&#39;t have same shape in all rows</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="keywordflow">if</span>(a.size() != sub_size) {</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (get_shape) Supplied vector is not 2D Matrix&quot;</span> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">return</span> <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/pair/make_pair.html">std::make_pair</a>(A.size(), sub_size); <span class="comment">// Return shape as pair</span></div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; {</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> sub_size = (*A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/begin.html">begin</a>()).size();</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) {</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <span class="comment">// If supplied vector don&#39;t have same shape in all rows</span></div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">if</span> (a.size() != sub_size) {</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Supplied vector is not 2D Matrix&quot;</span> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; }</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keywordflow">return</span> <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/pair/make_pair.html">std::make_pair</a>(A.size(), sub_size); <span class="comment">// Return shape as pair</span></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;}</div>
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<a id="a9e3ef7d310219dfcb2caecb9b167c35b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9e3ef7d310219dfcb2caecb9b167c35b">&#9670;&nbsp;</a></span>hadamard_product()</h2>
<a id="a6ef38e5947aef609f908bfbfeaf11d75"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6ef38e5947aef609f908bfbfeaf11d75">&#9670;&nbsp;</a></span>hadamard_product()</h2>
<div class="memitem">
<div class="memproto">
@@ -415,7 +421,7 @@ template&lt;typename T &gt; </div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::hadamard_product </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::hadamard_product </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -447,25 +453,26 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; {</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; <span class="comment">// If vectors are not eligible for hadamard product</span></div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">if</span>(shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (hadamard_product) Supplied vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; }</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) {</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] * B[i]); <span class="comment">// Elementwise multiplication</span></div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; }</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; {</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <span class="comment">// If vectors are not eligible for hadamard product</span></div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; <span class="keywordflow">if</span> (shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; }</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) {</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] * B[i]); <span class="comment">// Elementwise multiplication</span></div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; }</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160;}</div>
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@@ -512,15 +519,15 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; B.resize(A.size() + 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.size(); i++) { <span class="comment">// For every element in A</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; B[i] = A[i]; <span class="comment">// Copy element in B</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; B[B.size() - 1] = ele; <span class="comment">// Inserting new element in last position</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; {</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; B.resize(A.size() + 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.size(); i++) { <span class="comment">// For every element in A</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; B[i] = A[i]; <span class="comment">// Copy element in B</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; B[B.size() - 1] = ele; <span class="comment">// Inserting new element in last position</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;}</div>
</div><!-- fragment -->
</div>
</div>
@@ -738,29 +745,34 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new scaled 3D vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::vector&lt;std::valarray&lt;T&gt;</a>&gt;&gt; B = A; <span class="comment">// Copying into new vector B</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B[0]); <span class="comment">// Storing shape of B&#39;s every element</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <span class="comment">// As this function is used for scaling training data vector should be of shape (1, X)</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="keywordflow">if</span>(shape.first != 1) {</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (MinMax Scaling) Supplied vector is not supported for minmax scaling, shape: &quot;</span>;</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; }</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.second; i++) {</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; T <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a> = B[0][0][i], <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">max</a> = B[0][0][i]; </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> j = 0; j &lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); j++) {</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="comment">// Updating minimum and maximum values</span></div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a> = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">std::min</a>(min, B[j][0][i]);</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">max</a> = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">std::max</a>(max, B[j][0][i]);</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; }</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> j = 0; j &lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); j++) {</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <span class="comment">// Applying min-max scaler formula</span></div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; B[j][0][i] = ((B[j][0][i] - <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a>) / (max - min)) * (high - low) + low;</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; }</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; }</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 3D vector</span></div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; {</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::vector&lt;std::valarray&lt;T&gt;</a>&gt;&gt; B =</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; A; <span class="comment">// Copying into new vector B</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B[0]); <span class="comment">// Storing shape of B&#39;s every element</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="comment">// As this function is used for scaling training data vector should be of</span></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="comment">// shape (1, X)</span></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keywordflow">if</span> (shape.first != 1) {</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; &lt;&lt; <span class="stringliteral">&quot;Supplied vector is not supported for minmax scaling, shape: &quot;</span>;</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; }</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape.second; i++) {</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; T <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a> = B[0][0][i], <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">max</a> = B[0][0][i];</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); j++) {</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; <span class="comment">// Updating minimum and maximum values</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a> = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">std::min</a>(min, B[j][0][i]);</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">max</a> = <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/max.html">std::max</a>(max, B[j][0][i]);</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); j++) {</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <span class="comment">// Applying min-max scaler formula</span></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; B[j][0][i] =</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; ((B[j][0][i] - <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/algorithm/min.html">min</a>) / (max - min)) * (high - low) + low;</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 3D vector</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;}</div>
</div><!-- fragment --><div class="dynheader">
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@@ -770,8 +782,8 @@ Here is the call graph for this function:</div>
</div>
</div>
<a id="a8c42a1a712b725e2aa7d4e5dc2cebcf9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a8c42a1a712b725e2aa7d4e5dc2cebcf9">&#9670;&nbsp;</a></span>multiply()</h2>
<a id="a7491744dcfc8844338d55065d0cd0c79"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a7491744dcfc8844338d55065d0cd0c79">&#9670;&nbsp;</a></span>multiply()</h2>
<div class="memitem">
<div class="memproto">
@@ -779,7 +791,7 @@ Here is the call graph for this function:</div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::multiply </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::multiply </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -811,40 +823,41 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; {</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="comment">// If vectors are not eligible for multiplication</span></div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="keywordflow">if</span>(shape_a.second != shape_b.first ) {</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (multiply) Supplied vectors are not eligible for multiplication &quot;</span>;</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; }</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="comment">// Normal matrix multiplication </span></div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape_a.first; i++) {</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> row;</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; row.resize(shape_b.second);</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> j = 0; j &lt; shape_b.second; j++) {</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> k = 0; k &lt; shape_a.second; k++) {</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; row[j] += A[i][k] * B[k][j];</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; }</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; }</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row);</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; }</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; {</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; <span class="comment">// If vectors are not eligible for multiplication</span></div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; <span class="keywordflow">if</span> (shape_a.second != shape_b.first) {</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Vectors are not eligible for multiplication &quot;</span>;</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; }</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <span class="comment">// Normal matrix multiplication</span></div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape_a.first; i++) {</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> row;</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; row.resize(shape_b.second);</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; shape_b.second; j++) {</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k &lt; shape_a.second; k++) {</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; row[j] += A[i][k] * B[k][j];</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; }</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; }</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row);</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; }</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a2e7242fd513e4184ad783f5d9658f750">&#9670;&nbsp;</a></span>operator*()</h2>
<a id="ab58fb68da2cfc5326d3da0cba6f58118"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab58fb68da2cfc5326d3da0cba6f58118">&#9670;&nbsp;</a></span>operator*()</h2>
<div class="memitem">
<div class="memproto">
@@ -852,7 +865,7 @@ Here is the call graph for this function:</div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::operator* </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::operator* </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -884,18 +897,19 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; {</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B = A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; b = b * val; <span class="comment">// Multiply row with scaler</span></div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; }</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; {</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B =</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; b = b * val; <span class="comment">// Multiply row with scaler</span></div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; }</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ad8791a48ac0f519e9e7e4b333b126c7b">&#9670;&nbsp;</a></span>operator+()</h2>
<a id="a9225f0ded976096b45ffe13c75d33c05"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9225f0ded976096b45ffe13c75d33c05">&#9670;&nbsp;</a></span>operator+()</h2>
<div class="memitem">
<div class="memproto">
@@ -903,7 +917,7 @@ template&lt;typename T &gt; </div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::operator+ </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::operator+ </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -935,32 +949,33 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; {</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; <span class="comment">// If vectors don&#39;t have equal shape</span></div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="keywordflow">if</span>(shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (vector addition) Supplied vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; }</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray &lt;T&gt;</a>&gt; C;</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every row</span></div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] + B[i]); <span class="comment">// Elementwise addition</span></div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; }</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; {</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <span class="comment">// If vectors don&#39;t have equal shape</span></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">if</span> (shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Supplied vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; }</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C;</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every row</span></div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] + B[i]); <span class="comment">// Elementwise addition</span></div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; }</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a140ec294f73b3ee0709d515d2ee269c1">&#9670;&nbsp;</a></span>operator-()</h2>
<a id="a5f42063207181529413d812ade52f58e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5f42063207181529413d812ade52f58e">&#9670;&nbsp;</a></span>operator-()</h2>
<div class="memitem">
<div class="memproto">
@@ -968,7 +983,7 @@ Here is the call graph for this function:</div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::operator- </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::operator- </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -1000,32 +1015,33 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; {</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; <span class="comment">// If vectors don&#39;t have equal shape</span></div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="keywordflow">if</span>(shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: (vector subtraction) Supplied vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; }</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every row</span></div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] - B[i]); <span class="comment">// Elementwise substraction</span></div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; }</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; {</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_a = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A);</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape_b = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(B);</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <span class="comment">// If vectors don&#39;t have equal shape</span></div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; <span class="keywordflow">if</span> (shape_a.first != shape_b.first || shape_a.second != shape_b.second) {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Supplied vectors have different shapes &quot;</span>;</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; shape_a &lt;&lt; <span class="stringliteral">&quot; and &quot;</span> &lt;&lt; shape_b &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; }</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; C; <span class="comment">// Vector to store result</span></div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/size.html">size</a>(); i++) { <span class="comment">// For every row</span></div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; C.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(A[i] - B[i]); <span class="comment">// Elementwise substraction</span></div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; }</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">return</span> C; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a8c24000ea2a0ef6a46d06d2717b62984">&#9670;&nbsp;</a></span>operator/()</h2>
<a id="a2055c2f3a076b3d4146aade5eb35666d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2055c2f3a076b3d4146aade5eb35666d">&#9670;&nbsp;</a></span>operator/()</h2>
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@@ -1033,7 +1049,7 @@ Here is the call graph for this function:</div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::operator/ </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::operator/ </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em>, </td>
@@ -1065,13 +1081,14 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; {</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B = A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; b = b / val; <span class="comment">// Divide row with scaler</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; }</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; {</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;double&gt;</a>&gt; B =</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; A; <span class="comment">// New vector to store resultant vector</span></div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> &amp;b : B) { <span class="comment">// For every row in vector</span></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; b = b / val; <span class="comment">// Divide row with scaler</span></div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; }</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;}</div>
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@@ -1115,13 +1132,13 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="comment">// printing pair in the form (p, q)</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;(&quot;</span> &lt;&lt; A.first &lt;&lt; <span class="stringliteral">&quot;, &quot;</span> &lt;&lt; A.second &lt;&lt; <span class="stringliteral">&quot;)&quot;</span>;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4);</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="comment">// printing pair in the form (p, q)</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; <span class="stringliteral">&quot;(&quot;</span> &lt;&lt; A.first &lt;&lt; <span class="stringliteral">&quot;, &quot;</span> &lt;&lt; A.second &lt;&lt; <span class="stringliteral">&quot;)&quot;</span>;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;}</div>
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@@ -1171,15 +1188,15 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For every element in the vector.</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; a &lt;&lt; <span class="charliteral">&#39; &#39;</span>; <span class="comment">// Print element</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For every element in the vector.</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; a &lt;&lt; <span class="charliteral">&#39; &#39;</span>; <span class="comment">// Print element</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; }</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;}</div>
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@@ -1229,17 +1246,17 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4); </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For each row in A</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;x : a) { <span class="comment">// For each element in row</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; x &lt;&lt; <span class="charliteral">&#39; &#39;</span>; <span class="comment">// print element </span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; }</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="comment">// Setting output precision to 4 in case of floating point numbers</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; out.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">precision</a>(4);</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For each row in A</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;x : a) { <span class="comment">// For each element in row</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; x &lt;&lt; <span class="charliteral">&#39; &#39;</span>; <span class="comment">// print element</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cout</a> &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">return</span> out;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;}</div>
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@@ -1279,14 +1296,15 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; B.resize(A.size() - 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; A.size() - 1; i ++) { <span class="comment">// For every (except last) element in A </span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; B[i] = A[i]; <span class="comment">// Copy element in B</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; B.resize(A.size() - 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; A.size() - 1;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; i++) { <span class="comment">// For every (except last) element in A</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; B[i] = A[i]; <span class="comment">// Copy element in B</span></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;}</div>
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@@ -1320,14 +1338,15 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; B.resize(A.size() - 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 1; i &lt; A.size(); i ++) { <span class="comment">// // For every (except first) element in A </span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; B[i - 1] = A[i]; <span class="comment">// Copy element in B with left shifted position</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> B; <span class="comment">// New 1D vector to store resultant vector</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; B.resize(A.size() - 1); <span class="comment">// Resizing it accordingly</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i &lt; A.size();</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; i++) { <span class="comment">// // For every (except first) element in A</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; B[i - 1] = A[i]; <span class="comment">// Copy element in B with left shifted position</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return resultant vector</span></div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;}</div>
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@@ -1452,18 +1471,18 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>returns sum of all elements of 2D vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; {</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; T cur_sum = 0; <span class="comment">// Initially sum is zero</span></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For every row in A</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; cur_sum += a.sum(); <span class="comment">// Add sum of that row to current sum</span></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; }</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">return</span> cur_sum; <span class="comment">// Return sum</span></div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; {</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; T cur_sum = 0; <span class="comment">// Initially sum is zero</span></div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;a : A) { <span class="comment">// For every row in A</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; cur_sum += a.sum(); <span class="comment">// Add sum of that row to current sum</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="keywordflow">return</span> cur_sum; <span class="comment">// Return sum</span></div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;}</div>
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<h2 class="memtitle"><span class="permalink"><a href="#ac480dcc290990d8e93093fa08d915830">&#9670;&nbsp;</a></span>transpose()</h2>
<a id="ac7d9b358f1ef2ba2a1d475a5452ec41f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac7d9b358f1ef2ba2a1d475a5452ec41f">&#9670;&nbsp;</a></span>transpose()</h2>
<div class="memitem">
<div class="memproto">
@@ -1471,7 +1490,7 @@ template&lt;typename T &gt; </div>
template&lt;typename T &gt; </div>
<table class="memname">
<tr>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a> &lt;T&gt; &gt; machine_learning::transpose </td>
<td class="memname"><a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt;<a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt;T&gt; &gt; machine_learning::transpose </td>
<td>(</td>
<td class="paramtype">const <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a>&lt; <a class="elRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a>&lt; T &gt;&gt; &amp;&#160;</td>
<td class="paramname"><em>A</em></td><td>)</td>
@@ -1492,24 +1511,24 @@ template&lt;typename T &gt; </div>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>new resultant vector </dd></dl>
<div class="fragment"><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A); <span class="comment">// Current shape of vector</span></div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector &lt;std::valarray &lt;T&gt;</a> &gt; B; <span class="comment">// New vector to store result</span></div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <span class="comment">// Storing transpose values of A in B</span></div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> j = 0; j &lt; shape.second; j++) { </div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> row; </div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; row.resize(shape.first);</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; row[i] = A[i][j];</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; }</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row);</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; }</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; {</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> shape = <a class="code" href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">get_shape</a>(A); <span class="comment">// Current shape of vector</span></div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector&lt;std::valarray&lt;T&gt;</a>&gt; B; <span class="comment">// New vector to store result</span></div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="comment">// Storing transpose values of A in B</span></div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; shape.second; j++) {</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a> row;</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; row.resize(shape.first);</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; row[i] = A[i][j];</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; }</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; B.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row);</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; }</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keywordflow">return</span> B; <span class="comment">// Return new resultant 2D vector</span></div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;}</div>
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@@ -1569,21 +1588,23 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty </span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="comment">// Uniform distribution in range [low, high]</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random.html">std::default_random_engine</a> generator(<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/chrono/system_clock/now.html">std::chrono::system_clock::now</a>().time_since_epoch().count());</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/uniform_real_distribution.html">std::uniform_real_distribution &lt;T&gt;</a> distribution(low, high);</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) { <span class="comment">// For every row </span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; row.resize(shape.second);</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;r : row) { <span class="comment">// For every element in row</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; r = distribution(generator); <span class="comment">// copy random number </span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; } </div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; {</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="comment">// Uniform distribution in range [low, high]</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random.html">std::default_random_engine</a> generator(</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/chrono/system_clock/now.html">std::chrono::system_clock::now</a>().time_since_epoch().count());</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/uniform_real_distribution.html">std::uniform_real_distribution&lt;T&gt;</a> distribution(low, high);</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) { <span class="comment">// For every row</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; row.resize(shape.second);</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> &amp;r : row) { <span class="comment">// For every element in row</span></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; r = distribution(generator); <span class="comment">// copy random number</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; }</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; }</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;}</div>
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@@ -1633,16 +1654,17 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; {</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty </span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; row.resize(shape.second);</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; row[i] = T(1); <span class="comment">// Insert 1 at ith position </span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; }</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; row.resize(shape.second);</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; row[i] = T(1); <span class="comment">// Insert 1 at ith position</span></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;}</div>
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@@ -1905,15 +1927,16 @@ template&lt;typename T &gt; </div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; {</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty </span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray &lt;T&gt;</a> row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; row.resize(shape.second); <span class="comment">// By default all elements are zero</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; }</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;}</div>
<div class="fragment"><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; {</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/clear.html">clear</a>(); <span class="comment">// Making A empty</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; shape.first; i++) {</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray&lt;T&gt;</a></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; row; <span class="comment">// Making empty row which will be inserted in vector</span></div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; row.resize(shape.second); <span class="comment">// By default all elements are zero</span></div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; A.<a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector/push_back.html">push_back</a>(row); <span class="comment">// Insert new row in vector</span></div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; }</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;}</div>
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@@ -1967,13 +1990,13 @@ template&lt;typename T &gt; </div>
<div class="ttc" id="aendl_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a></div><div class="ttdeci">T endl(T... args)</div></div>
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<div class="ttc" id="abegin_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/iterator/begin.html">std::begin</a></div><div class="ttdeci">T begin(T... args)</div></div>
<div class="ttc" id="anamespacemachine__learning_html_abe6b58ec16abe0f6f8ac195e04aa8abd"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">machine_learning::get_shape</a></div><div class="ttdeci">std::pair&lt; size_t, size_t &gt; get_shape(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:243</div></div>
<div class="ttc" id="anamespacemachine__learning_html_abe6b58ec16abe0f6f8ac195e04aa8abd"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#abe6b58ec16abe0f6f8ac195e04aa8abd">machine_learning::get_shape</a></div><div class="ttdeci">std::pair&lt; size_t, size_t &gt; get_shape(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:247</div></div>
<div class="ttc" id="amake_pair_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/utility/pair/make_pair.html">std::make_pair</a></div><div class="ttdeci">T make_pair(T... args)</div></div>
<div class="ttc" id="aend_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/iterator/end.html">std::end</a></div><div class="ttdeci">T end(T... args)</div></div>
<div class="ttc" id="amax_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/algorithm/max.html">std::max</a></div><div class="ttdeci">T max(T... args)</div></div>
<div class="ttc" id="aexit_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a></div><div class="ttdeci">T exit(T... args)</div></div>
<div class="ttc" id="aprecision_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/ios_base/precision.html">std::ostream::precision</a></div><div class="ttdeci">T precision(T... args)</div></div>
<div class="ttc" id="anamespacemachine__learning_html_a5305cc18d11943d3dc0d66e70d7e9c44"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a5305cc18d11943d3dc0d66e70d7e9c44">machine_learning::sum</a></div><div class="ttdeci">T sum(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:228</div></div>
<div class="ttc" id="anamespacemachine__learning_html_a5305cc18d11943d3dc0d66e70d7e9c44"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a5305cc18d11943d3dc0d66e70d7e9c44">machine_learning::sum</a></div><div class="ttdeci">T sum(const std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:232</div></div>
<div class="ttc" id="apow_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/numeric/math/pow.html">std::pow</a></div><div class="ttdeci">T pow(T... args)</div></div>
<div class="ttc" id="anow_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/chrono/system_clock/now.html">std::chrono::system_clock::now</a></div><div class="ttdeci">T now(T... args)</div></div>
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@@ -100,16 +100,16 @@ $(document).ready(function(){initNavTree('d8/d95/vector__ops_8hpp.html','../../'
<p>Various functions for vectors associated with <a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">NeuralNetwork (aka Multilayer Perceptron)</a>.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;algorithm&gt;</code><br />
<code>#include &lt;vector&gt;</code><br />
<code>#include &lt;valarray&gt;</code><br />
<div class="textblock"><code>#include &lt;algorithm&gt;</code><br />
<code>#include &lt;chrono&gt;</code><br />
<code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;random&gt;</code><br />
<code>#include &lt;valarray&gt;</code><br />
<code>#include &lt;vector&gt;</code><br />
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@@ -147,9 +147,9 @@ Functions</h2></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Various functions for vectors associated with <a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">NeuralNetwork (aka Multilayer Perceptron)</a>. </p>

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<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; activation_function = neural_network::activations::tanh;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; }</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; activation_function = neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; dactivation_function = neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; }</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: Invalid argument for layer -&gt; constructor -&gt; activation, &quot;</span>;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Expected from {none, sigmoid, relu, tanh} got &quot;</span>;</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keyword">this</span> -&gt; activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">this</span> -&gt; neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="comment">// Initialize kernal according to flag</span></div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keywordflow">if</span>(random_kernal) {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="../../d8/d77/namespacemachine__learning.html#a73ee7ed3546ab9e8792a92336d0d14ab">uniform_random_initialization</a>(kernal, kernal_shape, -1.0, 1.0);</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <a class="code" href="../../d8/d77/namespacemachine__learning.html#abf136b863d804899647f46eeb2e1392b">unit_matrix_initialization</a>(kernal, kernal_shape);</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; }</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; }</div>
<div class="fragment"><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; {</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; activation_function = neural_network::activations::relu;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; activation_function = neural_network::activations::tanh;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; activation_function =</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; dactivation_function =</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; }</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="comment">// Initialize kernal according to flag</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <span class="keywordflow">if</span> (random_kernal) {</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <a class="code" href="../../d8/d77/namespacemachine__learning.html#a73ee7ed3546ab9e8792a92336d0d14ab">uniform_random_initialization</a>(kernal, kernal_shape, -1.0, 1.0);</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <a class="code" href="../../d8/d77/namespacemachine__learning.html#abf136b863d804899647f46eeb2e1392b">unit_matrix_initialization</a>(kernal, kernal_shape);</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; }</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; }</div>
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</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; {</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; activation_function = neural_network::activations::relu;</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; activation_function = neural_network::activations::tanh;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; }</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; activation_function = neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; dactivation_function = neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; }</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR: Invalid argument for layer -&gt; constructor -&gt; activation, &quot;</span>;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Expected from {none, sigmoid, relu, tanh} got &quot;</span>;</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; }</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="keyword">this</span> -&gt; activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keyword">this</span> -&gt; neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keyword">this</span> -&gt; kernal = kernal; <span class="comment">// Setting supplied kernal values </span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; }</div>
<div class="fragment"><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; {</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; activation_function = neural_network::activations::relu;</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; activation_function = neural_network::activations::tanh;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; activation_function =</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; dactivation_function =</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; neural_network::util_functions::identity_function;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <a class="codeRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; }</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; this-&gt;kernal = kernal; <span class="comment">// Setting supplied kernal values</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; }</div>
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</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacemachine__learning_html_a73ee7ed3546ab9e8792a92336d0d14ab"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a73ee7ed3546ab9e8792a92336d0d14ab">machine_learning::uniform_random_initialization</a></div><div class="ttdeci">void uniform_random_initialization(std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A, const std::pair&lt; size_t, size_t &gt; &amp;shape, const T &amp;low, const T &amp;high)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:162</div></div>
<div class="ttc" id="anamespacemachine__learning_html_abf136b863d804899647f46eeb2e1392b"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#abf136b863d804899647f46eeb2e1392b">machine_learning::unit_matrix_initialization</a></div><div class="ttdeci">void unit_matrix_initialization(std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A, const std::pair&lt; size_t, size_t &gt; &amp;shape)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:189</div></div>
<div class="ttc" id="anamespacemachine__learning_html_a73ee7ed3546ab9e8792a92336d0d14ab"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#a73ee7ed3546ab9e8792a92336d0d14ab">machine_learning::uniform_random_initialization</a></div><div class="ttdeci">void uniform_random_initialization(std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A, const std::pair&lt; size_t, size_t &gt; &amp;shape, const T &amp;low, const T &amp;high)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:166</div></div>
<div class="ttc" id="anamespacemachine__learning_html_abf136b863d804899647f46eeb2e1392b"><div class="ttname"><a href="../../d8/d77/namespacemachine__learning.html#abf136b863d804899647f46eeb2e1392b">machine_learning::unit_matrix_initialization</a></div><div class="ttdeci">void unit_matrix_initialization(std::vector&lt; std::valarray&lt; T &gt;&gt; &amp;A, const std::pair&lt; size_t, size_t &gt; &amp;shape)</div><div class="ttdef"><b>Definition:</b> vector_ops.hpp:193</div></div>
<div class="ttc" id="abasic_ostream_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a></div></div>
<div class="ttc" id="aendl_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a></div><div class="ttdeci">T endl(T... args)</div></div>
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