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<a href="minibatch__sgd_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="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#ifndef MLPACK_CORE_OPTIMIZERS_MINIBATCH_SGD_MINIBATCH_SGD_HPP</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#define MLPACK_CORE_OPTIMIZERS_MINIBATCH_SGD_MINIBATCH_SGD_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</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="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span>optimization {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> DecomposableFunctionType&gt;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html"> 74</a></span>&#160;<span class="keyword">class </span><a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html">MiniBatchSGD</a></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;{</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a15035e9fb9538743cd8bd3e05fd31977">MiniBatchSGD</a>(DecomposableFunctionType&amp; <span class="keyword">function</span>,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52">batchSize</a> = 1000,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3">stepSize</a> = 0.01,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">maxIterations</a> = 100000,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8">tolerance</a> = 1e-5,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35">shuffle</a> = <span class="keyword">true</span>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ab6ba9ce7ae508fe85c7620576a68f20a">Optimize</a>(arma::mat&amp; iterate);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a55758ee335253b0e0b2f82e4a01ee965"> 111</a></span>&#160; <span class="keyword">const</span> DecomposableFunctionType&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a55758ee335253b0e0b2f82e4a01ee965">Function</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <span class="keyword">function</span>; }</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35502af6b3f7732738e2caf8eb8fe96c"> 113</a></span>&#160; DecomposableFunctionType&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35502af6b3f7732738e2caf8eb8fe96c">Function</a>() { <span class="keywordflow">return</span> <span class="keyword">function</span>; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa680a3700b1105df18a8f85374b56638"> 116</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa680a3700b1105df18a8f85374b56638">BatchSize</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52">batchSize</a>; }</div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad901c56284441c5bb5af30b549e2ae8a"> 118</a></span>&#160; <span class="keywordtype">size_t</span>&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad901c56284441c5bb5af30b549e2ae8a">BatchSize</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52">batchSize</a>; }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a00169352ab9074e067ab37864e115dbb"> 121</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a00169352ab9074e067ab37864e115dbb">StepSize</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3">stepSize</a>; }</div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a3899b6a9ded146d82bb4458c03302073"> 123</a></span>&#160; <span class="keywordtype">double</span>&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a3899b6a9ded146d82bb4458c03302073">StepSize</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3">stepSize</a>; }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35a9ef041c0bb3f940e78593754ac536"> 126</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35a9ef041c0bb3f940e78593754ac536">MaxIterations</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">maxIterations</a>; }</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5dd0b12834b720a696a6d33ef438f93e"> 128</a></span>&#160; <span class="keywordtype">size_t</span>&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5dd0b12834b720a696a6d33ef438f93e">MaxIterations</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">maxIterations</a>; }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a90c9709a7dd0312d5ff93a312a5fe9db"> 131</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a90c9709a7dd0312d5ff93a312a5fe9db">Tolerance</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8">tolerance</a>; }</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a8bf3c9ed107adb32109657f443a747a7"> 133</a></span>&#160; <span class="keywordtype">double</span>&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a8bf3c9ed107adb32109657f443a747a7">Tolerance</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8">tolerance</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_1optimization_1_1MiniBatchSGD.html#a73566d6bfca44f2b0c77650c01fbff1e"> 136</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a73566d6bfca44f2b0c77650c01fbff1e">Shuffle</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35">shuffle</a>; }</div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ab2ca6ae65a0dca7b18ae56d2c1340e05"> 138</a></span>&#160; <span class="keywordtype">bool</span>&amp; <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ab2ca6ae65a0dca7b18ae56d2c1340e05">Shuffle</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35">shuffle</a>; }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a0140eedeab2cb8f7f2fb12f682d11840"> 142</a></span>&#160; DecomposableFunctionType&amp; <span class="keyword">function</span>;</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_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52"> 145</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52">batchSize</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_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3"> 148</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3">stepSize</a>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d"> 151</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">maxIterations</a>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8"> 154</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8">tolerance</a>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35"> 158</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35">shuffle</a>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;};</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;} <span class="comment">// namespace optimization</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;} <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;<span class="comment">// Include implementation.</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;<span class="preprocessor">#include &quot;minibatch_sgd_impl.hpp&quot;</span></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="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_aa87b27e65bb995d63cc976c7c9fd9d52"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa87b27e65bb995d63cc976c7c9fd9d52">mlpack::optimization::MiniBatchSGD::batchSize</a></div><div class="ttdeci">size_t batchSize</div><div class="ttdoc">The size of each mini-batch. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00145">minibatch_sgd.hpp:145</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_ab2ca6ae65a0dca7b18ae56d2c1340e05"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ab2ca6ae65a0dca7b18ae56d2c1340e05">mlpack::optimization::MiniBatchSGD::Shuffle</a></div><div class="ttdeci">bool &amp; Shuffle()</div><div class="ttdoc">Modify whether or not the individual functions are shuffled. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00138">minibatch_sgd.hpp:138</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_1optimization_1_1MiniBatchSGD_html_a8bf3c9ed107adb32109657f443a747a7"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a8bf3c9ed107adb32109657f443a747a7">mlpack::optimization::MiniBatchSGD::Tolerance</a></div><div class="ttdeci">double &amp; Tolerance()</div><div class="ttdoc">Modify the tolerance for termination. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00133">minibatch_sgd.hpp:133</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a55758ee335253b0e0b2f82e4a01ee965"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a55758ee335253b0e0b2f82e4a01ee965">mlpack::optimization::MiniBatchSGD::Function</a></div><div class="ttdeci">const DecomposableFunctionType &amp; Function() const </div><div class="ttdoc">Get the instantiated function to be optimized. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00111">minibatch_sgd.hpp:111</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_1optimization_1_1MiniBatchSGD_html_a15035e9fb9538743cd8bd3e05fd31977"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a15035e9fb9538743cd8bd3e05fd31977">mlpack::optimization::MiniBatchSGD::MiniBatchSGD</a></div><div class="ttdeci">MiniBatchSGD(DecomposableFunctionType &amp;function, const size_t batchSize=1000, const double stepSize=0.01, const size_t maxIterations=100000, const double tolerance=1e-5, const bool shuffle=true)</div><div class="ttdoc">Construct the MiniBatchSGD optimizer with the given function and parameters. </div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html">mlpack::optimization::MiniBatchSGD</a></div><div class="ttdoc">Mini-batch Stochastic Gradient Descent is a technique for minimizing a function which can be expresse...</div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00074">minibatch_sgd.hpp:74</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a35a9ef041c0bb3f940e78593754ac536"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35a9ef041c0bb3f940e78593754ac536">mlpack::optimization::MiniBatchSGD::MaxIterations</a></div><div class="ttdeci">size_t MaxIterations() const </div><div class="ttdoc">Get the maximum number of iterations (0 indicates no limit). </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00126">minibatch_sgd.hpp:126</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a90c9709a7dd0312d5ff93a312a5fe9db"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a90c9709a7dd0312d5ff93a312a5fe9db">mlpack::optimization::MiniBatchSGD::Tolerance</a></div><div class="ttdeci">double Tolerance() const </div><div class="ttdoc">Get the tolerance for termination. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00131">minibatch_sgd.hpp:131</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a5dd0b12834b720a696a6d33ef438f93e"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5dd0b12834b720a696a6d33ef438f93e">mlpack::optimization::MiniBatchSGD::MaxIterations</a></div><div class="ttdeci">size_t &amp; MaxIterations()</div><div class="ttdoc">Modify the maximum number of iterations (0 indicates no limit). </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00128">minibatch_sgd.hpp:128</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a35502af6b3f7732738e2caf8eb8fe96c"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35502af6b3f7732738e2caf8eb8fe96c">mlpack::optimization::MiniBatchSGD::Function</a></div><div class="ttdeci">DecomposableFunctionType &amp; Function()</div><div class="ttdoc">Modify the instantiated function. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00113">minibatch_sgd.hpp:113</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_afbcad6a84e07072c718b68049d27ece8"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#afbcad6a84e07072c718b68049d27ece8">mlpack::optimization::MiniBatchSGD::tolerance</a></div><div class="ttdeci">double tolerance</div><div class="ttdoc">The tolerance for termination. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00154">minibatch_sgd.hpp:154</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a5695a8062e02b0bdc48723b75f215ca3"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a5695a8062e02b0bdc48723b75f215ca3">mlpack::optimization::MiniBatchSGD::stepSize</a></div><div class="ttdeci">double stepSize</div><div class="ttdoc">The step size for each example. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00148">minibatch_sgd.hpp:148</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a3899b6a9ded146d82bb4458c03302073"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a3899b6a9ded146d82bb4458c03302073">mlpack::optimization::MiniBatchSGD::StepSize</a></div><div class="ttdeci">double &amp; StepSize()</div><div class="ttdoc">Modify the step size. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00123">minibatch_sgd.hpp:123</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_ab6ba9ce7ae508fe85c7620576a68f20a"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ab6ba9ce7ae508fe85c7620576a68f20a">mlpack::optimization::MiniBatchSGD::Optimize</a></div><div class="ttdeci">double Optimize(arma::mat &amp;iterate)</div><div class="ttdoc">Optimize the given function using mini-batch SGD. </div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a9d2859a232290853a81d2ca143882f35"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a9d2859a232290853a81d2ca143882f35">mlpack::optimization::MiniBatchSGD::shuffle</a></div><div class="ttdeci">bool shuffle</div><div class="ttdoc">Controls whether or not the individual functions are shuffled when iterating. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00158">minibatch_sgd.hpp:158</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_ad901c56284441c5bb5af30b549e2ae8a"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad901c56284441c5bb5af30b549e2ae8a">mlpack::optimization::MiniBatchSGD::BatchSize</a></div><div class="ttdeci">size_t &amp; BatchSize()</div><div class="ttdoc">Modify the batch size. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00118">minibatch_sgd.hpp:118</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_aa680a3700b1105df18a8f85374b56638"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#aa680a3700b1105df18a8f85374b56638">mlpack::optimization::MiniBatchSGD::BatchSize</a></div><div class="ttdeci">size_t BatchSize() const </div><div class="ttdoc">Get the batch size. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00116">minibatch_sgd.hpp:116</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a00169352ab9074e067ab37864e115dbb"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a00169352ab9074e067ab37864e115dbb">mlpack::optimization::MiniBatchSGD::StepSize</a></div><div class="ttdeci">double StepSize() const </div><div class="ttdoc">Get the step size. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00121">minibatch_sgd.hpp:121</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_ad88647ff30103350ba0ac296e965993d"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">mlpack::optimization::MiniBatchSGD::maxIterations</a></div><div class="ttdeci">size_t maxIterations</div><div class="ttdoc">The maximum number of allowed iterations. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00151">minibatch_sgd.hpp:151</a></div></div>
<div class="ttc" id="classmlpack_1_1optimization_1_1MiniBatchSGD_html_a73566d6bfca44f2b0c77650c01fbff1e"><div class="ttname"><a href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a73566d6bfca44f2b0c77650c01fbff1e">mlpack::optimization::MiniBatchSGD::Shuffle</a></div><div class="ttdeci">bool Shuffle() const </div><div class="ttdoc">Get whether or not the individual functions are shuffled. </div><div class="ttdef"><b>Definition:</b> <a href="minibatch__sgd_8hpp_source.html#l00136">minibatch_sgd.hpp:136</a></div></div>
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