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<a href="linear_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#ifndef MLPACK_METHODS_ANN_LAYER_LINEAR_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#define MLPACK_METHODS_ANN_LAYER_LINEAR_HPP</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="layer__types_8hpp.html">layer_types.hpp</a>&quot;</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">namespace </span>ann {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">typename</span> InputDataType = arma::mat,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">typename</span> OutputDataType = arma::mat</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;&gt;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">class </span>Linear</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a1be1eb0a6579a5fb9a6e5e0d5a8800fe">Linear</a>();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a1be1eb0a6579a5fb9a6e5e0d5a8800fe">Linear</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a487d648357ab00cd181a5a0b7397dcd7">inSize</a>, <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a02b35875dfcd60424e3d251409a060e7">outSize</a>);;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><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"> * Reset the layer parameter.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#abc7588fc1eca48455b90ee72e6ba6d81">Reset</a>();</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a48374a974817b574a4ee7c4250451aba">Forward</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; input, arma::Mat&lt;eT&gt;&amp;&amp; output);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#ac5375dc32ad3173a20408055b4834534">Backward</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; <span class="comment">/* input */</span>,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; gy,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; g);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="comment">/*</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"> * Calculate the gradient using the output delta and the input activation.</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> * @param input The input parameter used for calculating the gradient.</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"> * @param error The calculated error.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> * @param gradient The calculated gradient.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a5c86f0d2e8c8c29265574344c41a94d7">Gradient</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; input,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; error,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">gradient</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a35bd05cafff459547ca52d5b29731148"> 92</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a35bd05cafff459547ca52d5b29731148">Parameters</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf">weights</a>; }</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a3df2bb06b13782f76789decad0cf50c3"> 94</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a3df2bb06b13782f76789decad0cf50c3">Parameters</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf">weights</a>; }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a15b4715e595067e766408a59a31267d3"> 97</a></span>&#160; InputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a15b4715e595067e766408a59a31267d3">InputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a280c47482a6c158cebe4c900c1c9bb84">inputParameter</a>; }</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a698ba080a6faf3aeba51886740522d12"> 99</a></span>&#160; InputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a698ba080a6faf3aeba51886740522d12">InputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a280c47482a6c158cebe4c900c1c9bb84">inputParameter</a>; }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a9524048d87cf83bee89d25c9378e163b"> 102</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a9524048d87cf83bee89d25c9378e163b">OutputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a4210f09a1e048955dddc0d46b4129047">outputParameter</a>; }</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a7897517565442b849257aaf2bc81ecd9"> 104</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a7897517565442b849257aaf2bc81ecd9">OutputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a4210f09a1e048955dddc0d46b4129047">outputParameter</a>; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a115a1c6c51291d27520dfd7babffd20a"> 107</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a115a1c6c51291d27520dfd7babffd20a">Delta</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a38aeeecc6afbad907a61ebf70b6b2839">delta</a>; }</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a1272f5fb4ac5234e8340f4903e32f7e3"> 109</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a1272f5fb4ac5234e8340f4903e32f7e3">Delta</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a38aeeecc6afbad907a61ebf70b6b2839">delta</a>; }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a5c86f0d2e8c8c29265574344c41a94d7"> 112</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a5c86f0d2e8c8c29265574344c41a94d7">Gradient</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">gradient</a>; }</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a3c35974cbbc4749f413b88ba6b42ecce"> 114</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a3c35974cbbc4749f413b88ba6b42ecce">Gradient</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">gradient</a>; }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Archive&gt;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a1a33e43608e313dadf9b3fa61db9d96f">Serialize</a>(Archive&amp; ar, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="comment">/* version */</span>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a487d648357ab00cd181a5a0b7397dcd7"> 124</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a487d648357ab00cd181a5a0b7397dcd7">inSize</a>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a02b35875dfcd60424e3d251409a060e7"> 127</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a02b35875dfcd60424e3d251409a060e7">outSize</a>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf"> 130</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf">weights</a>;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a181443d628529d4c448b297d9fc4f4b3"> 133</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a181443d628529d4c448b297d9fc4f4b3">weight</a>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#ac3f6f38157a8e9be4bbc2c785d07260a"> 136</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#ac3f6f38157a8e9be4bbc2c785d07260a">bias</a>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a38aeeecc6afbad907a61ebf70b6b2839"> 139</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a38aeeecc6afbad907a61ebf70b6b2839">delta</a>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19"> 142</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">gradient</a>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a280c47482a6c158cebe4c900c1c9bb84"> 145</a></span>&#160; InputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a280c47482a6c158cebe4c900c1c9bb84">inputParameter</a>;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Linear.html#a4210f09a1e048955dddc0d46b4129047"> 148</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Linear.html#a4210f09a1e048955dddc0d46b4129047">outputParameter</a>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}; <span class="comment">// class Linear</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;} <span class="comment">// namespace ann</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;} <span class="comment">// namespace mlpack</span></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="comment">// Include implementation.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;<span class="preprocessor">#include &quot;linear_impl.hpp&quot;</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_aa1a600304ceebb15dd77bbed700bda19"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">mlpack::ann::Linear::gradient</a></div><div class="ttdeci">OutputDataType gradient</div><div class="ttdoc">Locally-stored gradient object. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00142">linear.hpp:142</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a1a33e43608e313dadf9b3fa61db9d96f"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a1a33e43608e313dadf9b3fa61db9d96f">mlpack::ann::Linear::Serialize</a></div><div class="ttdeci">void Serialize(Archive &amp;ar, const unsigned int)</div><div class="ttdoc">Serialize the layer. </div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a15b4715e595067e766408a59a31267d3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a15b4715e595067e766408a59a31267d3">mlpack::ann::Linear::InputParameter</a></div><div class="ttdeci">InputDataType const &amp; InputParameter() const </div><div class="ttdoc">Get the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00097">linear.hpp:97</a></div></div>
<div class="ttc" id="namespacemlpack_html"><div class="ttname"><a href="namespacemlpack.html">mlpack</a></div><div class="ttdoc">Linear algebra utility functions, generally performed on matrices or vectors. </div><div class="ttdef"><b>Definition:</b> <a href="binarize_8hpp_source.html#l00018">binarize.hpp:18</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a7897517565442b849257aaf2bc81ecd9"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a7897517565442b849257aaf2bc81ecd9">mlpack::ann::Linear::OutputParameter</a></div><div class="ttdeci">OutputDataType &amp; OutputParameter()</div><div class="ttdoc">Modify the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00104">linear.hpp:104</a></div></div>
<div class="ttc" id="prereqs_8hpp_html"><div class="ttname"><a href="prereqs_8hpp.html">prereqs.hpp</a></div><div class="ttdoc">The core includes that mlpack expects; standard C++ includes and Armadillo. </div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a53c70fbbea85fd880ce065b4e23897bf"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf">mlpack::ann::Linear::weights</a></div><div class="ttdeci">OutputDataType weights</div><div class="ttdoc">Locally-stored weight object. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00130">linear.hpp:130</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a35bd05cafff459547ca52d5b29731148"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a35bd05cafff459547ca52d5b29731148">mlpack::ann::Linear::Parameters</a></div><div class="ttdeci">OutputDataType const &amp; Parameters() const </div><div class="ttdoc">Get the parameters. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00092">linear.hpp:92</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a4210f09a1e048955dddc0d46b4129047"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a4210f09a1e048955dddc0d46b4129047">mlpack::ann::Linear::outputParameter</a></div><div class="ttdeci">OutputDataType outputParameter</div><div class="ttdoc">Locally-stored output parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00148">linear.hpp:148</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a3c35974cbbc4749f413b88ba6b42ecce"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a3c35974cbbc4749f413b88ba6b42ecce">mlpack::ann::Linear::Gradient</a></div><div class="ttdeci">OutputDataType &amp; Gradient()</div><div class="ttdoc">Modify the gradient. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00114">linear.hpp:114</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a181443d628529d4c448b297d9fc4f4b3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a181443d628529d4c448b297d9fc4f4b3">mlpack::ann::Linear::weight</a></div><div class="ttdeci">OutputDataType weight</div><div class="ttdoc">Locally-stored weight paramters. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00133">linear.hpp:133</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a698ba080a6faf3aeba51886740522d12"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a698ba080a6faf3aeba51886740522d12">mlpack::ann::Linear::InputParameter</a></div><div class="ttdeci">InputDataType &amp; InputParameter()</div><div class="ttdoc">Modify the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00099">linear.hpp:99</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a115a1c6c51291d27520dfd7babffd20a"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a115a1c6c51291d27520dfd7babffd20a">mlpack::ann::Linear::Delta</a></div><div class="ttdeci">OutputDataType const &amp; Delta() const </div><div class="ttdoc">Get the delta. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00107">linear.hpp:107</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a1272f5fb4ac5234e8340f4903e32f7e3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a1272f5fb4ac5234e8340f4903e32f7e3">mlpack::ann::Linear::Delta</a></div><div class="ttdeci">OutputDataType &amp; Delta()</div><div class="ttdoc">Modify the delta. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00109">linear.hpp:109</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a280c47482a6c158cebe4c900c1c9bb84"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a280c47482a6c158cebe4c900c1c9bb84">mlpack::ann::Linear::inputParameter</a></div><div class="ttdeci">InputDataType inputParameter</div><div class="ttdoc">Locally-stored input parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00145">linear.hpp:145</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_ac3f6f38157a8e9be4bbc2c785d07260a"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#ac3f6f38157a8e9be4bbc2c785d07260a">mlpack::ann::Linear::bias</a></div><div class="ttdeci">OutputDataType bias</div><div class="ttdoc">Locally-stored bias term parameters. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00136">linear.hpp:136</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_ac5375dc32ad3173a20408055b4834534"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#ac5375dc32ad3173a20408055b4834534">mlpack::ann::Linear::Backward</a></div><div class="ttdeci">void Backward(const arma::Mat&lt; eT &gt; &amp;&amp;, arma::Mat&lt; eT &gt; &amp;&amp;gy, arma::Mat&lt; eT &gt; &amp;&amp;g)</div><div class="ttdoc">Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backw...</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a5c86f0d2e8c8c29265574344c41a94d7"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a5c86f0d2e8c8c29265574344c41a94d7">mlpack::ann::Linear::Gradient</a></div><div class="ttdeci">OutputDataType const &amp; Gradient() const </div><div class="ttdoc">Get the gradient. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00112">linear.hpp:112</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a48374a974817b574a4ee7c4250451aba"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a48374a974817b574a4ee7c4250451aba">mlpack::ann::Linear::Forward</a></div><div class="ttdeci">void Forward(const arma::Mat&lt; eT &gt; &amp;&amp;input, arma::Mat&lt; eT &gt; &amp;&amp;output)</div><div class="ttdoc">Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activ...</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a3df2bb06b13782f76789decad0cf50c3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a3df2bb06b13782f76789decad0cf50c3">mlpack::ann::Linear::Parameters</a></div><div class="ttdeci">OutputDataType &amp; Parameters()</div><div class="ttdoc">Modify the parameters. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00094">linear.hpp:94</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a487d648357ab00cd181a5a0b7397dcd7"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a487d648357ab00cd181a5a0b7397dcd7">mlpack::ann::Linear::inSize</a></div><div class="ttdeci">size_t inSize</div><div class="ttdoc">Locally-stored number of input units. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00124">linear.hpp:124</a></div></div>
<div class="ttc" id="layer__types_8hpp_html"><div class="ttname"><a href="layer__types_8hpp.html">layer_types.hpp</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a02b35875dfcd60424e3d251409a060e7"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a02b35875dfcd60424e3d251409a060e7">mlpack::ann::Linear::outSize</a></div><div class="ttdeci">size_t outSize</div><div class="ttdoc">Locally-stored number of output units. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00127">linear.hpp:127</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_abc7588fc1eca48455b90ee72e6ba6d81"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#abc7588fc1eca48455b90ee72e6ba6d81">mlpack::ann::Linear::Reset</a></div><div class="ttdeci">void Reset()</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a38aeeecc6afbad907a61ebf70b6b2839"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a38aeeecc6afbad907a61ebf70b6b2839">mlpack::ann::Linear::delta</a></div><div class="ttdeci">OutputDataType delta</div><div class="ttdoc">Locally-stored delta object. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00139">linear.hpp:139</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a1be1eb0a6579a5fb9a6e5e0d5a8800fe"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a1be1eb0a6579a5fb9a6e5e0d5a8800fe">mlpack::ann::Linear::Linear</a></div><div class="ttdeci">Linear()</div><div class="ttdoc">Create the Linear object. </div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1Linear_html_a9524048d87cf83bee89d25c9378e163b"><div class="ttname"><a href="classmlpack_1_1ann_1_1Linear.html#a9524048d87cf83bee89d25c9378e163b">mlpack::ann::Linear::OutputParameter</a></div><div class="ttdeci">OutputDataType const &amp; OutputParameter() const </div><div class="ttdoc">Get the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear_8hpp_source.html#l00102">linear.hpp:102</a></div></div>
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