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<a href="regression__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="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#ifndef MLPACK_CORE_DISTRIBUTIONS_REGRESSION_DISTRIBUTION_HPP</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#define MLPACK_CORE_DISTRIBUTIONS_REGRESSION_DISTRIBUTION_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> <span class="preprocessor">#include <<a class="code" href="gaussian__distribution_8hpp.html">mlpack/core/dists/gaussian_distribution.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="linear__regression_8hpp.html">mlpack/methods/linear_regression/linear_regression.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">namespace </span>distribution {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html"> 30</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html">RegressionDistribution</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#ad8b0c4f275bae93da112cc899be046c3"> 34</a></span>  <a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html">regression::LinearRegression</a> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#ad8b0c4f275bae93da112cc899be046c3">rf</a>;</div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0"> 36</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1GaussianDistribution.html">GaussianDistribution</a> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0">err</a>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a04e57f869f787f5f7ba9d5d897b56b9b"> 42</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a04e57f869f787f5f7ba9d5d897b56b9b">RegressionDistribution</a>() { <span class="comment">/* nothing to do */</span> }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#abceed28a81a615771c19c5ad5bf77313"> 51</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#abceed28a81a615771c19c5ad5bf77313">RegressionDistribution</a>(<span class="keyword">const</span> arma::mat& predictors,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> arma::vec& responses) :</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  rf(regression::LinearRegression(predictors, responses))</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  err = <a class="code" href="classmlpack_1_1distribution_1_1GaussianDistribution.html">GaussianDistribution</a>(1);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  arma::mat cov(1, 1);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  cov(0, 0) = rf.<a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html#ac00989c0cd9175182922d575717e6b3d">ComputeError</a>(predictors, responses);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  err.<a class="code" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a33054fff004ef83bd2db02866d836379">Covariance</a>(std::move(cov));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Archive></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a2d87668437affed9e7e2d976d379360b"> 65</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a2d87668437affed9e7e2d976d379360b">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="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  ar & <a class="code" href="namespacemlpack_1_1data.html#a785ee98e0070286ef86eeeea85a74018">data::CreateNVP</a>(rf, <span class="stringliteral">"rf"</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  ar & <a class="code" href="namespacemlpack_1_1data.html#a785ee98e0070286ef86eeeea85a74018">data::CreateNVP</a>(err, <span class="stringliteral">"err"</span>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#af8ea5f46d3b3f52070ca69b5ddab2ffb"> 72</a></span>  <span class="keyword">const</span> <a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html">regression::LinearRegression</a>& <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#af8ea5f46d3b3f52070ca69b5ddab2ffb">Rf</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#ad8b0c4f275bae93da112cc899be046c3">rf</a>; }</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a854bcc37110425ee2785aba6e47eaa15"> 74</a></span>  <a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html">regression::LinearRegression</a>& <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a854bcc37110425ee2785aba6e47eaa15">Rf</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#ad8b0c4f275bae93da112cc899be046c3">rf</a>; }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6d00806e36cabaaf4747773fe605ba11"> 77</a></span>  <span class="keyword">const</span> <a class="code" href="classmlpack_1_1distribution_1_1GaussianDistribution.html">GaussianDistribution</a>& <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6d00806e36cabaaf4747773fe605ba11">Err</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0">err</a>; }</div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a7864d28a8e888c8367341dcb373b9159"> 79</a></span>  <a class="code" href="classmlpack_1_1distribution_1_1GaussianDistribution.html">GaussianDistribution</a>& <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a7864d28a8e888c8367341dcb373b9159">Err</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0">err</a>; }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a42f52fc4c59d7032899730fa9063b772">Train</a>(<span class="keyword">const</span> arma::mat& observations);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a42f52fc4c59d7032899730fa9063b772">Train</a>(<span class="keyword">const</span> arma::mat& observations, <span class="keyword">const</span> arma::vec& weights);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a123eaa62908186bf9cc83c34311f2f61">Probability</a>(<span class="keyword">const</span> arma::vec& observation) <span class="keyword">const</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a46b67ea1537c4914de15c41286bf9faf"> 107</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a46b67ea1537c4914de15c41286bf9faf">LogProbability</a>(<span class="keyword">const</span> arma::vec& observation)<span class="keyword"> const </span>{</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> log(<a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a123eaa62908186bf9cc83c34311f2f61">Probability</a>(observation));</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="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8ccce41b87587054b321948c3d5111c8">Predict</a>(<span class="keyword">const</span> arma::mat& points, arma::vec& predictions) <span class="keyword">const</span>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a00ee499217ac66a1a339d9d506289f87"> 120</a></span>  <span class="keyword">const</span> arma::vec& <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a00ee499217ac66a1a339d9d506289f87">Parameters</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> rf.<a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html#a6029df537ed9b78ba2ce46af8473af84">Parameters</a>(); }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8d63dbe51faa2f23011624c2d4385c68"> 123</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8d63dbe51faa2f23011624c2d4385c68">Dimensionality</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> rf.<a class="code" href="classmlpack_1_1regression_1_1LinearRegression.html#a6029df537ed9b78ba2ce46af8473af84">Parameters</a>().n_elem; }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> };</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> } <span class="comment">// namespace distribution</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="linear__regression_8hpp_html"><div class="ttname"><a href="linear__regression_8hpp.html">linear_regression.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1GaussianDistribution_html"><div class="ttname"><a href="classmlpack_1_1distribution_1_1GaussianDistribution.html">mlpack::distribution::GaussianDistribution</a></div><div class="ttdoc">A single multivariate Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> <a href="gaussian__distribution_8hpp_source.html#l00024">gaussian_distribution.hpp:24</a></div></div>
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<div class="ttc" id="gaussian__distribution_8hpp_html"><div class="ttname"><a href="gaussian__distribution_8hpp.html">gaussian_distribution.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a00ee499217ac66a1a339d9d506289f87"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a00ee499217ac66a1a339d9d506289f87">mlpack::distribution::RegressionDistribution::Parameters</a></div><div class="ttdeci">const arma::vec & Parameters() const </div><div class="ttdoc">Return the parameters (the b vector). </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00120">regression_distribution.hpp:120</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="classmlpack_1_1regression_1_1LinearRegression_html"><div class="ttname"><a href="classmlpack_1_1regression_1_1LinearRegression.html">mlpack::regression::LinearRegression</a></div><div class="ttdoc">A simple linear regression algorithm using ordinary least squares. </div><div class="ttdef"><b>Definition:</b> <a href="linear__regression_8hpp_source.html#l00026">linear_regression.hpp:26</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a6d00806e36cabaaf4747773fe605ba11"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6d00806e36cabaaf4747773fe605ba11">mlpack::distribution::RegressionDistribution::Err</a></div><div class="ttdeci">const GaussianDistribution & Err() const </div><div class="ttdoc">Return error distribution. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00077">regression_distribution.hpp:77</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a04e57f869f787f5f7ba9d5d897b56b9b"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a04e57f869f787f5f7ba9d5d897b56b9b">mlpack::distribution::RegressionDistribution::RegressionDistribution</a></div><div class="ttdeci">RegressionDistribution()</div><div class="ttdoc">Default constructor, which creates a Gaussian with zero dimension. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00042">regression_distribution.hpp:42</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a8ccce41b87587054b321948c3d5111c8"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8ccce41b87587054b321948c3d5111c8">mlpack::distribution::RegressionDistribution::Predict</a></div><div class="ttdeci">void Predict(const arma::mat &points, arma::vec &predictions) const </div><div class="ttdoc">Calculate y_i for each data point in points. </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_1RegressionDistribution_html_a42f52fc4c59d7032899730fa9063b772"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a42f52fc4c59d7032899730fa9063b772">mlpack::distribution::RegressionDistribution::Train</a></div><div class="ttdeci">void Train(const arma::mat &observations)</div><div class="ttdoc">Estimate the Gaussian distribution directly from the given observations. </div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_abceed28a81a615771c19c5ad5bf77313"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#abceed28a81a615771c19c5ad5bf77313">mlpack::distribution::RegressionDistribution::RegressionDistribution</a></div><div class="ttdeci">RegressionDistribution(const arma::mat &predictors, const arma::vec &responses)</div><div class="ttdoc">Create a Conditional Gaussian distribution with conditional mean function obtained by running Regress...</div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00051">regression_distribution.hpp:51</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a123eaa62908186bf9cc83c34311f2f61"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a123eaa62908186bf9cc83c34311f2f61">mlpack::distribution::RegressionDistribution::Probability</a></div><div class="ttdeci">double Probability(const arma::vec &observation) const </div><div class="ttdoc">Evaluate probability density function of given observation. </div></div>
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<div class="ttc" id="classmlpack_1_1regression_1_1LinearRegression_html_ac00989c0cd9175182922d575717e6b3d"><div class="ttname"><a href="classmlpack_1_1regression_1_1LinearRegression.html#ac00989c0cd9175182922d575717e6b3d">mlpack::regression::LinearRegression::ComputeError</a></div><div class="ttdeci">double ComputeError(const arma::mat &points, const arma::vec &responses) const </div><div class="ttdoc">Calculate the L2 squared error on the given predictors and responses using this linear regression mod...</div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a46b67ea1537c4914de15c41286bf9faf"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a46b67ea1537c4914de15c41286bf9faf">mlpack::distribution::RegressionDistribution::LogProbability</a></div><div class="ttdeci">double LogProbability(const arma::vec &observation) const </div><div class="ttdoc">Evaluate log probability density function of given observation. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00107">regression_distribution.hpp:107</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_af8ea5f46d3b3f52070ca69b5ddab2ffb"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#af8ea5f46d3b3f52070ca69b5ddab2ffb">mlpack::distribution::RegressionDistribution::Rf</a></div><div class="ttdeci">const regression::LinearRegression & Rf() const </div><div class="ttdoc">Return regression function. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00072">regression_distribution.hpp:72</a></div></div>
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<div class="ttc" id="classmlpack_1_1regression_1_1LinearRegression_html_a6029df537ed9b78ba2ce46af8473af84"><div class="ttname"><a href="classmlpack_1_1regression_1_1LinearRegression.html#a6029df537ed9b78ba2ce46af8473af84">mlpack::regression::LinearRegression::Parameters</a></div><div class="ttdeci">const arma::vec & Parameters() const </div><div class="ttdoc">Return the parameters (the b vector). </div><div class="ttdef"><b>Definition:</b> <a href="linear__regression_8hpp_source.html#l00104">linear_regression.hpp:104</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a8d63dbe51faa2f23011624c2d4385c68"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8d63dbe51faa2f23011624c2d4385c68">mlpack::distribution::RegressionDistribution::Dimensionality</a></div><div class="ttdeci">size_t Dimensionality() const </div><div class="ttdoc">Return the dimensionality. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00123">regression_distribution.hpp:123</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html">mlpack::distribution::RegressionDistribution</a></div><div class="ttdoc">A class that represents a univariate conditionally Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00030">regression_distribution.hpp:30</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a6a7e22ec080d7e0085813231b9e384e0"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0">mlpack::distribution::RegressionDistribution::err</a></div><div class="ttdeci">GaussianDistribution err</div><div class="ttdoc">Error distribution. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00036">regression_distribution.hpp:36</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_ad8b0c4f275bae93da112cc899be046c3"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#ad8b0c4f275bae93da112cc899be046c3">mlpack::distribution::RegressionDistribution::rf</a></div><div class="ttdeci">regression::LinearRegression rf</div><div class="ttdoc">Regression function for representing conditional mean. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00034">regression_distribution.hpp:34</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a2d87668437affed9e7e2d976d379360b"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a2d87668437affed9e7e2d976d379360b">mlpack::distribution::RegressionDistribution::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="regression__distribution_8hpp_source.html#l00065">regression_distribution.hpp:65</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a854bcc37110425ee2785aba6e47eaa15"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a854bcc37110425ee2785aba6e47eaa15">mlpack::distribution::RegressionDistribution::Rf</a></div><div class="ttdeci">regression::LinearRegression & Rf()</div><div class="ttdoc">Modify regression function. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00074">regression_distribution.hpp:74</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1GaussianDistribution_html_a33054fff004ef83bd2db02866d836379"><div class="ttname"><a href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a33054fff004ef83bd2db02866d836379">mlpack::distribution::GaussianDistribution::Covariance</a></div><div class="ttdeci">const arma::mat & Covariance() const </div><div class="ttdoc">Return the covariance matrix. </div><div class="ttdef"><b>Definition:</b> <a href="gaussian__distribution_8hpp_source.html#l00136">gaussian_distribution.hpp:136</a></div></div>
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<div class="ttc" id="classmlpack_1_1distribution_1_1RegressionDistribution_html_a7864d28a8e888c8367341dcb373b9159"><div class="ttname"><a href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a7864d28a8e888c8367341dcb373b9159">mlpack::distribution::RegressionDistribution::Err</a></div><div class="ttdeci">GaussianDistribution & Err()</div><div class="ttdoc">Modify error distribution. </div><div class="ttdef"><b>Definition:</b> <a href="regression__distribution_8hpp_source.html#l00079">regression_distribution.hpp:79</a></div></div>
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