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<div id="projectname">BayesNet<span id="projectnumber"> 1.0.5</span>
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<div id="projectbrief">Bayesian Network Classifiers using libtorch from scratch</div>
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<div class="headertitle"><div class="title">Boost.h</div></div>
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<div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span><span class="comment">// ***************************************************************</span></div>
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<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span><span class="comment">// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span></div>
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<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span><span class="comment">// SPDX-FileType: SOURCE</span></div>
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<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="comment">// SPDX-License-Identifier: MIT</span></div>
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<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span><span class="comment">// ***************************************************************</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span> </div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span><span class="preprocessor">#ifndef BOOST_H</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="preprocessor">#define BOOST_H</span></div>
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span><span class="preprocessor">#include <string></span></div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="preprocessor">#include <tuple></span></div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="preprocessor">#include <vector></span></div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="preprocessor">#include <nlohmann/json.hpp></span></div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span><span class="preprocessor">#include <torch/torch.h></span></div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span><span class="preprocessor">#include "Ensemble.h"</span></div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span><span class="preprocessor">#include "bayesnet/feature_selection/FeatureSelect.h"</span></div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span><span class="keyword">namespace </span>bayesnet {</div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> std::string CFS = <span class="stringliteral">"CFS"</span>;</div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span> std::string FCBF = <span class="stringliteral">"FCBF"</span>;</div>
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<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span> std::string IWSS = <span class="stringliteral">"IWSS"</span>;</div>
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<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span> }SelectFeatures;</div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">const</span> <span class="keyword">struct </span>{</div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span> std::string ASC = <span class="stringliteral">"asc"</span>;</div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span> std::string DESC = <span class="stringliteral">"desc"</span>;</div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span> std::string RAND = <span class="stringliteral">"rand"</span>;</div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span> }Orders;</div>
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<div class="foldopen" id="foldopen00027" data-start="{" data-end="};">
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"><a class="line" href="classbayesnet_1_1_boost.html"> 27</a></span> <span class="keyword">class </span><a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a> : <span class="keyword">public</span> <a class="code hl_class" href="classbayesnet_1_1_ensemble.html">Ensemble</a> {</div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">public</span>:</div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">explicit</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">Boost</a>(<span class="keywordtype">bool</span> predict_voting = <span class="keyword">false</span>);</div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">virtual</span> <a class="code hl_class" href="classbayesnet_1_1_boost.html">~Boost</a>() = <span class="keywordflow">default</span>;</div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> <span class="keywordtype">void</span> setHyperparameters(<span class="keyword">const</span> nlohmann::json& hyperparameters_) <span class="keyword">override</span>;</div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">protected</span>:</div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span> std::vector<int> featureSelection(torch::Tensor& weights_);</div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span> <span class="keywordtype">void</span> buildModel(<span class="keyword">const</span> torch::Tensor& weights) <span class="keyword">override</span>;</div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span> std::tuple<torch::Tensor&, double, bool> update_weights(torch::Tensor& ytrain, torch::Tensor& ypred, torch::Tensor& weights);</div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span> std::tuple<torch::Tensor&, double, bool> update_weights_block(<span class="keywordtype">int</span> k, torch::Tensor& ytrain, torch::Tensor& weights);</div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> torch::Tensor X_train, y_train, X_test, y_test;</div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span> <span class="comment">// Hyperparameters</span></div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span> <span class="keywordtype">bool</span> bisection = <span class="keyword">true</span>; <span class="comment">// if true, use bisection stratety to add k models at once to the ensemble</span></div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> <span class="keywordtype">int</span> maxTolerance = 3;</div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span> std::string order_algorithm; <span class="comment">// order to process the KBest features asc, desc, rand</span></div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span> <span class="keywordtype">bool</span> convergence = <span class="keyword">true</span>; <span class="comment">//if true, stop when the model does not improve</span></div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span> <span class="keywordtype">bool</span> convergence_best = <span class="keyword">false</span>; <span class="comment">// wether to keep the best accuracy to the moment or the last accuracy as prior accuracy</span></div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span> <span class="keywordtype">bool</span> selectFeatures = <span class="keyword">false</span>; <span class="comment">// if true, use feature selection</span></div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span> std::string select_features_algorithm = Orders.DESC; <span class="comment">// Selected feature selection algorithm</span></div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> FeatureSelect* featureSelector = <span class="keyword">nullptr</span>;</div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span> <span class="keywordtype">double</span> threshold = -1;</div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span> <span class="keywordtype">bool</span> block_update = <span class="keyword">false</span>;</div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span> </div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span> };</div>
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</div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span>}</div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span><span class="preprocessor">#endif</span></div>
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<div class="ttc" id="aclassbayesnet_1_1_boost_html"><div class="ttname"><a href="classbayesnet_1_1_boost.html">bayesnet::Boost</a></div><div class="ttdef"><b>Definition</b> <a href="#l00027">Boost.h:27</a></div></div>
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<div class="ttc" id="aclassbayesnet_1_1_ensemble_html"><div class="ttname"><a href="classbayesnet_1_1_ensemble.html">bayesnet::Ensemble</a></div><div class="ttdef"><b>Definition</b> <a href="_ensemble_8h_source.html#l00015">Ensemble.h:15</a></div></div>
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<li class="navelem"><a class="el" href="dir_40070fdff85d618b4d1d3ab4ac4f79bb.html">bayesnet</a></li><li class="navelem"><a class="el" href="dir_2f68445c4ac4316280c650d0a13b2741.html">ensembles</a></li><li class="navelem"><b>Boost.h</b></li>
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