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<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_44a936ef30fc126706c6284a2fc0c990.html">mlpack</a></li><li class="navelem"><a class="el" href="dir_3cfbf900288ec2fe8dd2c2c8482f216e.html">methods</a></li><li class="navelem"><a class="el" href="dir_5d79f627790f2a48f4f1d0c9d0b8c107.html">amf</a></li><li class="navelem"><a class="el" href="dir_d2d4272c0c3066ecaa6136c65bce4822.html">update_rules</a></li> </ul>
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<div class="title">nmf_mult_div.hpp</div> </div>
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<a href="nmf__mult__div_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> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#ifndef MLPACK_METHODS_LMF_UPDATE_RULES_NMF_MULT_DIV_HPP</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#define MLPACK_METHODS_LMF_UPDATE_RULES_NMF_MULT_DIV_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <span class="keyword">namespace </span>amf {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html"> 48</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html">NMFMultiplicativeDivergenceUpdate</a></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Empty constructor required for the WUpdateRule template.</span></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a989aecc76d2b526557e030c7e63506ff"> 52</a></span>  <a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a989aecc76d2b526557e030c7e63506ff">NMFMultiplicativeDivergenceUpdate</a>() { }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MatType></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#af81296ec72a027427fec6c48dd51ae60"> 59</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#af81296ec72a027427fec6c48dd51ae60">Initialize</a>(<span class="keyword">const</span> MatType& <span class="comment">/* dataset */</span>, <span class="keyword">const</span> <span class="keywordtype">size_t</span> <span class="comment">/* rank */</span>)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Nothing to do.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MatType></div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a9d17481f4277050bc0cfe4d2fddb54d8"> 80</a></span>  <span class="keyword">inline</span> <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a9d17481f4277050bc0cfe4d2fddb54d8">WUpdate</a>(<span class="keyword">const</span> MatType& V,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  arma::mat& W,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> arma::mat& H)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Simple implementation left in the header file.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  arma::mat t1;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  arma::rowvec t2;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  t1 = W * H;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < W.n_rows; ++i)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < W.n_cols; ++j)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Writing this as a single expression does not work as of Armadillo</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// 3.920. This should be fixed in a future release, and then the code</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// below can be fixed.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">//t2 = H.row(j) % V.row(i) / t1.row(i);</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  t2.set_size(H.n_cols);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k < t2.n_elem; ++k)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  t2(k) = H(j, k) * V(i, k) / t1(i, k);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  W(i, j) = W(i, j) * sum(t2) / sum(H.row(j));</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MatType></div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a4d74e4fe86c3eacf1567be69950fd616"> 124</a></span>  <span class="keyword">inline</span> <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a4d74e4fe86c3eacf1567be69950fd616">HUpdate</a>(<span class="keyword">const</span> MatType& V,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> arma::mat& W,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  arma::mat& H)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Simple implementation left in the header file.</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  arma::mat t1;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  arma::colvec t2;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  t1 = W * H;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < H.n_rows; i++)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < H.n_cols; j++)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// Writing this as a single expression does not work as of Armadillo</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// 3.920. This should be fixed in a future release, and then the code</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// below can be fixed.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">//t2 = W.col(i) % V.col(j) / t1.col(j);</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  t2.set_size(W.n_rows);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> k = 0; k < t2.n_elem; ++k)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  t2(k) = W(k, i) * V(k, j) / t1(k, j);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  H(i,j) = H(i,j) * sum(t2) / sum(W.col(i));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Archive></div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#ad9da2750641b65e8c534edb0eb6323b8"> 154</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#ad9da2750641b65e8c534edb0eb6323b8">Serialize</a>(Archive& <span class="comment">/* ar */</span>, <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="l00155"></a><span class="lineno"> 155</span> };</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> } <span class="comment">// namespace amf</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html_a9d17481f4277050bc0cfe4d2fddb54d8"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a9d17481f4277050bc0cfe4d2fddb54d8">mlpack::amf::NMFMultiplicativeDivergenceUpdate::WUpdate</a></div><div class="ttdeci">static void WUpdate(const MatType &V, arma::mat &W, const arma::mat &H)</div><div class="ttdoc">The update rule for the basis matrix W. </div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00080">nmf_mult_div.hpp:80</a></div></div>
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<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>
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<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>
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<div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html_ad9da2750641b65e8c534edb0eb6323b8"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#ad9da2750641b65e8c534edb0eb6323b8">mlpack::amf::NMFMultiplicativeDivergenceUpdate::Serialize</a></div><div class="ttdeci">void Serialize(Archive &, const unsigned int)</div><div class="ttdoc">Serialize the object (in this case, there is nothing to serialize). </div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00154">nmf_mult_div.hpp:154</a></div></div>
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<div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html_a989aecc76d2b526557e030c7e63506ff"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a989aecc76d2b526557e030c7e63506ff">mlpack::amf::NMFMultiplicativeDivergenceUpdate::NMFMultiplicativeDivergenceUpdate</a></div><div class="ttdeci">NMFMultiplicativeDivergenceUpdate()</div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00052">nmf_mult_div.hpp:52</a></div></div>
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<div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html_af81296ec72a027427fec6c48dd51ae60"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#af81296ec72a027427fec6c48dd51ae60">mlpack::amf::NMFMultiplicativeDivergenceUpdate::Initialize</a></div><div class="ttdeci">void Initialize(const MatType &, const size_t)</div><div class="ttdoc">Initialize the factorization. </div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00059">nmf_mult_div.hpp:59</a></div></div>
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<div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html_a4d74e4fe86c3eacf1567be69950fd616"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html#a4d74e4fe86c3eacf1567be69950fd616">mlpack::amf::NMFMultiplicativeDivergenceUpdate::HUpdate</a></div><div class="ttdeci">static void HUpdate(const MatType &V, const arma::mat &W, arma::mat &H)</div><div class="ttdoc">The update rule for the encoding matrix H. </div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00124">nmf_mult_div.hpp:124</a></div></div>
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<div class="ttc" id="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate_html"><div class="ttname"><a href="classmlpack_1_1amf_1_1NMFMultiplicativeDivergenceUpdate.html">mlpack::amf::NMFMultiplicativeDivergenceUpdate</a></div><div class="ttdoc">This follows a method described in the paper &#39;Algorithms for Non-negative. </div><div class="ttdef"><b>Definition:</b> <a href="nmf__mult__div_8hpp_source.html#l00048">nmf_mult_div.hpp:48</a></div></div>
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var x = document.getElementsByClassName("formulaDsp");
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var i;
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for (i = 0; i < x.length; i++)
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{
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x[i].width /= 4;
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}
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</script>
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</html>
|