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<a href="discrete__distribution_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="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#ifndef MLPACK_CORE_DISTRIBUTIONS_DISCRETE_DISTRIBUTION_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#define MLPACK_CORE_DISTRIBUTIONS_DISCRETE_DISTRIBUTION_HPP</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="log_8hpp.html">mlpack/core/util/log.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="random_8hpp.html">mlpack/core/math/random.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="namespacemlpack_1_1distribution.html"> 21</a></span> <span class="keyword">namespace </span>distribution {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html"> 45</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html">DiscreteDistribution</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae92fa20680434c043dbd3cbc1825bf7b"> 51</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae92fa20680434c043dbd3cbc1825bf7b">DiscreteDistribution</a>() :</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>(<a class="code" href="namespacestd.html">std</a>::vector<arma::vec>(1)){ <span class="comment">/* Nothing to do. */</span> }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a284a24758895f104becf646b45e64ca4"> 62</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a284a24758895f104becf646b45e64ca4">DiscreteDistribution</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> numObservations) :</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>(<a class="code" href="namespacestd.html">std</a>::vector<arma::vec>(1,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  arma::ones<arma::vec>(numObservations) / numObservations))</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  { <span class="comment">/* Nothing to do. */</span> }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a93371ce703fe0cfc9ba5b1e99272e1d6"> 75</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a93371ce703fe0cfc9ba5b1e99272e1d6">DiscreteDistribution</a>(<span class="keyword">const</span> arma::Col<size_t>& numObservations)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numObservations.n_elem; i++)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numObs = size_t(numObservations[i]);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">if</span> (numObs <= 0)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::ostringstream oss;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  oss << <span class="stringliteral">"number of observations for dimension "</span> << i << <span class="stringliteral">" is 0, but "</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  << <span class="stringliteral">"must be greater than 0"</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">throw</span> std::invalid_argument(oss.str());</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>.push_back(arma::ones<arma::vec>(numObs) / numObs);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adc0aa8c41a07e53a50af96ffeeb5365e"> 97</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adc0aa8c41a07e53a50af96ffeeb5365e">DiscreteDistribution</a>(<span class="keyword">const</span> std::vector<arma::vec>& <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < probabilities.size(); i++)</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  arma::vec temp = probabilities[i];</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">double</span> sum = accu(temp);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (sum > 0)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  this->probabilities.push_back(temp / sum);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">else</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>  this->probabilities.push_back(arma::ones<arma::vec>(temp.n_elem)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  / temp.n_elem);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ac7f063c2d79ad674aa876194a7752dcd"> 116</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ac7f063c2d79ad674aa876194a7752dcd">Dimensionality</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>.size(); }</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6838b73184083eb322c84887c0e3f12e"> 126</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6838b73184083eb322c84887c0e3f12e">Probability</a>(<span class="keyword">const</span> arma::vec& observation)<span class="keyword"> const</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">double</span> probability = 1.0;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// Ensure the observation has the same dimension with the probabilities</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (observation.n_elem != <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>.size())</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>  <a class="code" href="classmlpack_1_1Log.html#a80ba817a1abcf742c7463b1e74bf55da">Log::Debug</a> << <span class="stringliteral">"the obversation must has the same dimension with the probabilities"</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  << <span class="stringliteral">"the observation's dimension is"</span> << observation.n_elem << <span class="stringliteral">"but the dimension of "</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  << <span class="stringliteral">"probabilities is"</span> << <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>.size() << std::endl;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">return</span> probability;</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="keywordflow">for</span> (<span class="keywordtype">size_t</span> dimension = 0; dimension < observation.n_elem; dimension++)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Adding 0.5 helps ensure that we cast the floating point to a size_t</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// correctly.</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> obs = size_t(observation(dimension) + 0.5);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// Ensure that the observation is within the bounds.</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span> (obs >= <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>[dimension].n_elem)</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>  <a class="code" href="classmlpack_1_1Log.html#a80ba817a1abcf742c7463b1e74bf55da">Log::Debug</a> << <span class="stringliteral">"DiscreteDistribution::Probability(): received observation "</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  << obs << <span class="stringliteral">"; observation must be in [0, "</span> << <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>[dimension].n_elem</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  << <span class="stringliteral">"] for this distribution."</span> << std::endl;</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>  probability *= <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>[dimension][obs];</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> probability;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6768fbb34b2e35e3fb774f70029776a8"> 164</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6768fbb34b2e35e3fb774f70029776a8">LogProbability</a>(<span class="keyword">const</span> arma::vec& observation)<span class="keyword"> const</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// TODO: consider storing log probabilities instead?</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> log(<a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6838b73184083eb322c84887c0e3f12e">Probability</a>(observation));</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  arma::vec <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adeb56ea7e07eca693ab4de0a21d52509">Random</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a682b9d50d1b2776ee104d6b78162d042">Train</a>(<span class="keyword">const</span> arma::mat& observations);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a682b9d50d1b2776ee104d6b78162d042">Train</a>(<span class="keyword">const</span> arma::mat& observations,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> arma::vec& <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ad178e80a5ad3cdd7e4e174f6964493d3"> 201</a></span>  arma::vec& <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ad178e80a5ad3cdd7e4e174f6964493d3">Probabilities</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dim = 0) { <span class="keywordflow">return</span> probabilities[dim]; }</div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a31d902d9fb270de6af74aa8d329ec3c9"> 203</a></span>  <span class="keyword">const</span> arma::vec& <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a31d902d9fb270de6af74aa8d329ec3c9">Probabilities</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> dim = 0)<span class="keyword"> const</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> probabilities[dim]; }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Archive></div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae30476739f3ed9327936ff7b87d0ecd1"> 210</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae30476739f3ed9327936ff7b87d0ecd1">Serialize</a>(Archive& 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="l00211"></a><span class="lineno"> 211</span>  {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// We serialize the vector manually since there seem to be some problems</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// with some boost versions.</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">size_t</span> dimensionality;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  dimensionality = probabilities.size();</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  ar & <a class="code" href="namespacemlpack_1_1data.html#a785ee98e0070286ef86eeeea85a74018">data::CreateNVP</a>(dimensionality, <span class="stringliteral">"dimensionality"</span>);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">if</span> (Archive::is_loading::value)</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  probabilities.clear();</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  probabilities.resize(dimensionality);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < dimensionality; ++i)</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::ostringstream oss;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  oss << <span class="stringliteral">"probabilities"</span> << i;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  ar & <a class="code" href="namespacemlpack_1_1data.html#a785ee98e0070286ef86eeeea85a74018">data::CreateNVP</a>(probabilities[i], oss.str());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07"> 235</a></span>  std::vector<arma::vec> <a class="code" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">probabilities</a>;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> };</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> } <span class="comment">// namespace distribution</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="preprocessor">#endif</span></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>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_ae30476739f3ed9327936ff7b87d0ecd1"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae30476739f3ed9327936ff7b87d0ecd1">mlpack::distribution::DiscreteDistribution::Serialize</a></div><div class="ttdeci">void Serialize(Archive &ar, const unsigned int)</div><div class="ttdoc">Serialize the distribution. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00210">discrete_distribution.hpp:210</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_adeb56ea7e07eca693ab4de0a21d52509"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adeb56ea7e07eca693ab4de0a21d52509">mlpack::distribution::DiscreteDistribution::Random</a></div><div class="ttdeci">arma::vec Random() const </div><div class="ttdoc">Return a randomly generated observation (one-dimensional vector; one observation) according to the pr...</div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a26bcf7b1af4d12c9cb7969af4fbe6b07"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">mlpack::distribution::DiscreteDistribution::probabilities</a></div><div class="ttdeci">std::vector< arma::vec > probabilities</div><div class="ttdoc">The probabilities for each dimension; each arma::vec represents the probabilities for the observation...</div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00235">discrete_distribution.hpp:235</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html">mlpack::distribution::DiscreteDistribution</a></div><div class="ttdoc">A discrete distribution where the only observations are discrete observations. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00045">discrete_distribution.hpp:45</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="namespacemlpack_1_1data_html_a785ee98e0070286ef86eeeea85a74018"><div class="ttname"><a href="namespacemlpack_1_1data.html#a785ee98e0070286ef86eeeea85a74018">mlpack::data::CreateNVP</a></div><div class="ttdeci">FirstShim< T > CreateNVP(T &t, const std::string &name, typename std::enable_if_t< HasSerialize< T >::value > *=0)</div><div class="ttdoc">Call this function to produce a name-value pair; this is similar to BOOST_SERIALIZATION_NVP(), but should be used for types that have a Serialize() function (or contain a type that has a Serialize() function) instead of a serialize() function. </div><div class="ttdef"><b>Definition:</b> <a href="serialization__shim_8hpp_source.html#l00094">serialization_shim.hpp:94</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_ac7f063c2d79ad674aa876194a7752dcd"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ac7f063c2d79ad674aa876194a7752dcd">mlpack::distribution::DiscreteDistribution::Dimensionality</a></div><div class="ttdeci">size_t Dimensionality() const </div><div class="ttdoc">Get the dimensionality of the distribution. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00116">discrete_distribution.hpp:116</a></div></div>
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<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdef"><b>Definition:</b> <a href="prereqs_8hpp_source.html#l00056">prereqs.hpp:56</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a6838b73184083eb322c84887c0e3f12e"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6838b73184083eb322c84887c0e3f12e">mlpack::distribution::DiscreteDistribution::Probability</a></div><div class="ttdeci">double Probability(const arma::vec &observation) const </div><div class="ttdoc">Return the probability of the given observation. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00126">discrete_distribution.hpp:126</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_ae92fa20680434c043dbd3cbc1825bf7b"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ae92fa20680434c043dbd3cbc1825bf7b">mlpack::distribution::DiscreteDistribution::DiscreteDistribution</a></div><div class="ttdeci">DiscreteDistribution()</div><div class="ttdoc">Default constructor, which creates a distribution that has no observations. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00051">discrete_distribution.hpp:51</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a93371ce703fe0cfc9ba5b1e99272e1d6"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a93371ce703fe0cfc9ba5b1e99272e1d6">mlpack::distribution::DiscreteDistribution::DiscreteDistribution</a></div><div class="ttdeci">DiscreteDistribution(const arma::Col< size_t > &numObservations)</div><div class="ttdoc">Define the multidimensional discrete distribution as having numObservations possible observations...</div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00075">discrete_distribution.hpp:75</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a31d902d9fb270de6af74aa8d329ec3c9"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a31d902d9fb270de6af74aa8d329ec3c9">mlpack::distribution::DiscreteDistribution::Probabilities</a></div><div class="ttdeci">const arma::vec & Probabilities(const size_t dim=0) const </div><div class="ttdoc">Modify the vector of probabilities for the given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00203">discrete_distribution.hpp:203</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a682b9d50d1b2776ee104d6b78162d042"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a682b9d50d1b2776ee104d6b78162d042">mlpack::distribution::DiscreteDistribution::Train</a></div><div class="ttdeci">void Train(const arma::mat &observations)</div><div class="ttdoc">Estimate the probability distribution directly from the given observations. </div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_adc0aa8c41a07e53a50af96ffeeb5365e"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adc0aa8c41a07e53a50af96ffeeb5365e">mlpack::distribution::DiscreteDistribution::DiscreteDistribution</a></div><div class="ttdeci">DiscreteDistribution(const std::vector< arma::vec > &probabilities)</div><div class="ttdoc">Define the multidimensional discrete distribution as having the given probabilities for each observat...</div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00097">discrete_distribution.hpp:97</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a6768fbb34b2e35e3fb774f70029776a8"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6768fbb34b2e35e3fb774f70029776a8">mlpack::distribution::DiscreteDistribution::LogProbability</a></div><div class="ttdeci">double LogProbability(const arma::vec &observation) const </div><div class="ttdoc">Return the log probability of the given observation. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00164">discrete_distribution.hpp:164</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_ad178e80a5ad3cdd7e4e174f6964493d3"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ad178e80a5ad3cdd7e4e174f6964493d3">mlpack::distribution::DiscreteDistribution::Probabilities</a></div><div class="ttdeci">arma::vec & Probabilities(const size_t dim=0)</div><div class="ttdoc">Return the vector of probabilities for the given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00201">discrete_distribution.hpp:201</a></div></div>
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<div class="ttc" id="classmlpack_1_1Log_html_a80ba817a1abcf742c7463b1e74bf55da"><div class="ttname"><a href="classmlpack_1_1Log.html#a80ba817a1abcf742c7463b1e74bf55da">mlpack::Log::Debug</a></div><div class="ttdeci">static MLPACK_EXPORT util::NullOutStream Debug</div><div class="ttdoc">MLPACK_EXPORT is required for global variables, so that they are properly exported by the Windows com...</div><div class="ttdef"><b>Definition:</b> <a href="log_8hpp_source.html#l00079">log.hpp:79</a></div></div>
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<div class="ttc" id="random_8hpp_html"><div class="ttname"><a href="random_8hpp.html">random.hpp</a></div><div class="ttdoc">Miscellaneous math random-related routines. </div></div>
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<div class="ttc" id="log_8hpp_html"><div class="ttname"><a href="log_8hpp.html">log.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1DiscreteDistribution_html_a284a24758895f104becf646b45e64ca4"><div class="ttname"><a href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a284a24758895f104becf646b45e64ca4">mlpack::distribution::DiscreteDistribution::DiscreteDistribution</a></div><div class="ttdeci">DiscreteDistribution(const size_t numObservations)</div><div class="ttdoc">Define the discrete distribution as having numObservations possible observations. ...</div><div class="ttdef"><b>Definition:</b> <a href="discrete__distribution_8hpp_source.html#l00062">discrete_distribution.hpp:62</a></div></div>
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