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<a href="binary__numeric__split_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#ifndef MLPACK_METHODS_HOEFFDING_SPLIT_BINARY_NUMERIC_SPLIT_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#define MLPACK_METHODS_HOEFFDING_SPLIT_BINARY_NUMERIC_SPLIT_HPP</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="binary__numeric__split__info_8hpp.html">binary_numeric_split_info.hpp</a>&quot;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">namespace </span>tree {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FitnessFunction,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">typename</span> ObservationType = <span class="keywordtype">double</span>&gt;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html"> 47</a></span>&#160;<span class="keyword">class </span><a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html">BinaryNumericSplit</a></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#aee2d439f8cca76ded95b74c5afa26cfb"> 51</a></span>&#160; <span class="keyword">typedef</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplitInfo.html">BinaryNumericSplitInfo&lt;ObservationType&gt;</a> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#aee2d439f8cca76ded95b74c5afa26cfb">SplitInfo</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#abc8708f69f59cfc58cc6a1b13d34129a">BinaryNumericSplit</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> numClasses);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#abc8708f69f59cfc58cc6a1b13d34129a">BinaryNumericSplit</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> numClasses, <span class="keyword">const</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html">BinaryNumericSplit</a>&amp; other);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#abeaea8895e56f89904f83793e434fbb3">Train</a>(ObservationType value, <span class="keyword">const</span> <span class="keywordtype">size_t</span> label);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a4d64c6c75adba844168cbbe307efde4c">EvaluateFitnessFunction</a>(<span class="keywordtype">double</span>&amp; bestFitness,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordtype">double</span>&amp; secondBestFitness);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// Return the number of children if this node were to split on this feature.</span></div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ad812be693521007d13f9022f3dcc40fd"> 93</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ad812be693521007d13f9022f3dcc40fd">NumChildren</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 2; }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a3613e157797f9f591c99671211cea694">Split</a>(arma::Col&lt;size_t&gt;&amp; childMajorities, SplitInfo&amp; splitInfo);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a37769243377056af37b41adfec46b8bd">MajorityClass</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a49c45c24bba4a46094664ac806701320">MajorityProbability</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Archive&gt;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ada680ee52b021bbfdd64d76c8943048c">Serialize</a>(Archive&amp; ar, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="comment">/* version */</span>);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a327b0e3094b57b69401e7ca27321ed72"> 115</a></span>&#160; std::multimap&lt;ObservationType, size_t&gt; <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a327b0e3094b57b69401e7ca27321ed72">sortedElements</a>;</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#afa7a1cca0466ba96e7f8e12f50b0d721"> 117</a></span>&#160; arma::Col&lt;size_t&gt; <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#afa7a1cca0466ba96e7f8e12f50b0d721">classCounts</a>;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a45b02598ef3670b154fdf1ff82189f2f"> 120</a></span>&#160; ObservationType <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a45b02598ef3670b154fdf1ff82189f2f">bestSplit</a>;</div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ae930b1c38e4dd56cdc012b2b64da4877"> 123</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ae930b1c38e4dd56cdc012b2b64da4877">isAccurate</a>;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;};</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="comment">// Convenience typedef.</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FitnessFunction&gt;</div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="namespacemlpack_1_1tree.html#aee8064e063faf98870a4a5d4c2a0c46f"> 128</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html">BinaryDoubleNumericSplit</a> = <a class="code" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html">BinaryNumericSplit&lt;FitnessFunction, double&gt;</a>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;} <span class="comment">// namespace tree</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;} <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;<span class="comment">// Include implementation.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="preprocessor">#include &quot;binary_numeric_split_impl.hpp&quot;</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_abc8708f69f59cfc58cc6a1b13d34129a"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#abc8708f69f59cfc58cc6a1b13d34129a">mlpack::tree::BinaryNumericSplit::BinaryNumericSplit</a></div><div class="ttdeci">BinaryNumericSplit(const size_t numClasses)</div><div class="ttdoc">Create the BinaryNumericSplit object with the given number of classes. </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_1tree_1_1BinaryNumericSplit_html"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html">mlpack::tree::BinaryNumericSplit</a></div><div class="ttdoc">The BinaryNumericSplit class implements the numeric feature splitting strategy devised by Gama...</div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00047">binary_numeric_split.hpp:47</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_afa7a1cca0466ba96e7f8e12f50b0d721"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#afa7a1cca0466ba96e7f8e12f50b0d721">mlpack::tree::BinaryNumericSplit::classCounts</a></div><div class="ttdeci">arma::Col&lt; size_t &gt; classCounts</div><div class="ttdoc">The classes we have seen so far (for majority calculations). </div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00117">binary_numeric_split.hpp:117</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a45b02598ef3670b154fdf1ff82189f2f"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a45b02598ef3670b154fdf1ff82189f2f">mlpack::tree::BinaryNumericSplit::bestSplit</a></div><div class="ttdeci">ObservationType bestSplit</div><div class="ttdoc">A cached best split point. </div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00120">binary_numeric_split.hpp:120</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a327b0e3094b57b69401e7ca27321ed72"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a327b0e3094b57b69401e7ca27321ed72">mlpack::tree::BinaryNumericSplit::sortedElements</a></div><div class="ttdeci">std::multimap&lt; ObservationType, size_t &gt; sortedElements</div><div class="ttdoc">The elements seen so far, in sorted order. </div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00115">binary_numeric_split.hpp:115</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_aee2d439f8cca76ded95b74c5afa26cfb"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#aee2d439f8cca76ded95b74c5afa26cfb">mlpack::tree::BinaryNumericSplit::SplitInfo</a></div><div class="ttdeci">BinaryNumericSplitInfo&lt; ObservationType &gt; SplitInfo</div><div class="ttdoc">The splitting information required by the BinaryNumericSplit. </div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00051">binary_numeric_split.hpp:51</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplitInfo_html"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplitInfo.html">mlpack::tree::BinaryNumericSplitInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split__info_8hpp_source.html#l00022">binary_numeric_split_info.hpp:22</a></div></div>
<div class="ttc" id="binary__numeric__split__info_8hpp_html"><div class="ttname"><a href="binary__numeric__split__info_8hpp.html">binary_numeric_split_info.hpp</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_ad812be693521007d13f9022f3dcc40fd"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ad812be693521007d13f9022f3dcc40fd">mlpack::tree::BinaryNumericSplit::NumChildren</a></div><div class="ttdeci">size_t NumChildren() const </div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00093">binary_numeric_split.hpp:93</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_ae930b1c38e4dd56cdc012b2b64da4877"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ae930b1c38e4dd56cdc012b2b64da4877">mlpack::tree::BinaryNumericSplit::isAccurate</a></div><div class="ttdeci">bool isAccurate</div><div class="ttdoc">If true, the cached best split point is accurate (that is, we have not seen any more samples since we...</div><div class="ttdef"><b>Definition:</b> <a href="binary__numeric__split_8hpp_source.html#l00123">binary_numeric_split.hpp:123</a></div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_abeaea8895e56f89904f83793e434fbb3"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#abeaea8895e56f89904f83793e434fbb3">mlpack::tree::BinaryNumericSplit::Train</a></div><div class="ttdeci">void Train(ObservationType value, const size_t label)</div><div class="ttdoc">Train on the given value with the given label. </div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a37769243377056af37b41adfec46b8bd"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a37769243377056af37b41adfec46b8bd">mlpack::tree::BinaryNumericSplit::MajorityClass</a></div><div class="ttdeci">size_t MajorityClass() const </div><div class="ttdoc">The majority class of the points seen so far. </div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a4d64c6c75adba844168cbbe307efde4c"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a4d64c6c75adba844168cbbe307efde4c">mlpack::tree::BinaryNumericSplit::EvaluateFitnessFunction</a></div><div class="ttdeci">void EvaluateFitnessFunction(double &amp;bestFitness, double &amp;secondBestFitness)</div><div class="ttdoc">Given the points seen so far, evaluate the fitness function, returning the best possible gain of a bi...</div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a3613e157797f9f591c99671211cea694"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a3613e157797f9f591c99671211cea694">mlpack::tree::BinaryNumericSplit::Split</a></div><div class="ttdeci">void Split(arma::Col&lt; size_t &gt; &amp;childMajorities, SplitInfo &amp;splitInfo)</div><div class="ttdoc">Given that a split should happen, return the majority classes of the (two) children and an initialize...</div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_ada680ee52b021bbfdd64d76c8943048c"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#ada680ee52b021bbfdd64d76c8943048c">mlpack::tree::BinaryNumericSplit::Serialize</a></div><div class="ttdeci">void Serialize(Archive &amp;ar, const unsigned int)</div><div class="ttdoc">Serialize the object. </div></div>
<div class="ttc" id="classmlpack_1_1tree_1_1BinaryNumericSplit_html_a49c45c24bba4a46094664ac806701320"><div class="ttname"><a href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a49c45c24bba4a46094664ac806701320">mlpack::tree::BinaryNumericSplit::MajorityProbability</a></div><div class="ttdeci">double MajorityProbability() const </div><div class="ttdoc">The probability of the majority class given the points seen so far. </div></div>
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