BayesNet/html/bayesnet/ensembles/A2DE.cc.gcov.html
2024-05-06 17:56:00 +02:00

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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/ensembles</a> - A2DE.cc<span style="font-size: 80%;"> (source / <a href="A2DE.cc.func-c.html">functions</a>)</span></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">BayesNet Coverage Report</td>
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<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">23</td>
<td class="headerCovTableEntry">23</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-05-06 17:54:04</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<td class="headerItem">Legend:</td>
<td class="headerValueLeg"> Lines:
<span class="coverLegendCov">hit</span>
<span class="coverLegendNoCov">not hit</span>
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<pre class="sourceHeading"> Line data Source code</pre>
<pre class="source">
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
<span id="L6"><span class="lineNum"> 6</span> : </span>
<span id="L7"><span class="lineNum"> 7</span> : #include &quot;A2DE.h&quot;</span>
<span id="L8"><span class="lineNum"> 8</span> : </span>
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 12 : A2DE::A2DE(bool predict_voting) : Ensemble(predict_voting)</span></span>
<span id="L11"><span class="lineNum"> 11</span> : {</span>
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 24 : validHyperparameters = { &quot;predict_voting&quot; };</span></span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 36 : }</span></span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 8 : void A2DE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
<span id="L15"><span class="lineNum"> 15</span> : {</span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 8 : auto hyperparameters = hyperparameters_;</span></span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 8 : if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 8 : predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 8 : hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
<span id="L20"><span class="lineNum"> 20</span> : }</span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 8 : Classifier::setHyperparameters(hyperparameters);</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 8 : }</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 16 : void A2DE::buildModel(const torch::Tensor&amp; weights)</span></span>
<span id="L24"><span class="lineNum"> 24</span> : {</span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 16 : models.clear();</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 16 : significanceModels.clear();</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 124 : for (int i = 0; i &lt; features.size() - 1; ++i) {</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 564 : for (int j = i + 1; j &lt; features.size(); ++j) {</span></span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 456 : auto model = std::make_unique&lt;SPnDE&gt;(std::vector&lt;int&gt;({ i, j }));</span></span>
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 456 : models.push_back(std::move(model));</span></span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 456 : }</span></span>
<span id="L32"><span class="lineNum"> 32</span> : }</span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 16 : n_models = static_cast&lt;unsigned&gt;(models.size());</span></span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 16 : significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 16 : }</span></span>
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 4 : std::vector&lt;std::string&gt; A2DE::graph(const std::string&amp; title) const</span></span>
<span id="L37"><span class="lineNum"> 37</span> : {</span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 4 : return Ensemble::graph(title);</span></span>
<span id="L39"><span class="lineNum"> 39</span> : }</span>
<span id="L40"><span class="lineNum"> 40</span> : }</span>
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