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Add hyperparameter convergence_best

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move test libraries to test folder
This commit is contained in:
Ricardo Montañana Gómez
2024-04-30 00:52:09 +02:00
parent f014928411
commit ae469b8146
721 changed files with 206095 additions and 2496 deletions
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22
html/bayesnet/classifiers/SPODE.cc.gcov.html
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@@ -37,7 +37,7 @@
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 17:30:26</td>
<td class="headerValue">2024-04-29 20:48:03</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
@@ -70,24 +70,24 @@
<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>
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 252 : SPODE::SPODE(int root) : Classifier(Network()), root(root) {}</span></span>
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 2962 : SPODE::SPODE(int root) : Classifier(Network()), root(root) {}</span></span>
<span id="L12"><span class="lineNum"> 12</span> : </span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 225 : void SPODE::buildModel(const torch::Tensor&amp; weights)</span></span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 2665 : void SPODE::buildModel(const torch::Tensor&amp; weights)</span></span>
<span id="L14"><span class="lineNum"> 14</span> : {</span>
<span id="L15"><span class="lineNum"> 15</span> : // 0. Add all nodes to the model</span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 225 : addNodes();</span></span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 2665 : addNodes();</span></span>
<span id="L17"><span class="lineNum"> 17</span> : // 1. Add edges from the class node to all other nodes</span>
<span id="L18"><span class="lineNum"> 18</span> : // 2. Add edges from the root node to all other nodes</span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 8611 : for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 8386 : model.addEdge(className, features[i]);</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 8386 : if (i != root) {</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 8161 : model.addEdge(features[root], features[i]);</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 113941 : for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 111276 : model.addEdge(className, features[i]);</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 111276 : if (i != root) {</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 108611 : model.addEdge(features[root], features[i]);</span></span>
<span id="L23"><span class="lineNum"> 23</span> : }</span>
<span id="L24"><span class="lineNum"> 24</span> : }</span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 225 : }</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 17 : std::vector&lt;std::string&gt; SPODE::graph(const std::string&amp; name) const</span></span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 2665 : }</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 187 : std::vector&lt;std::string&gt; SPODE::graph(const std::string&amp; name) const</span></span>
<span id="L27"><span class="lineNum"> 27</span> : {</span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 17 : return model.graph(name);</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 187 : return model.graph(name);</span></span>
<span id="L29"><span class="lineNum"> 29</span> : }</span>
<span id="L30"><span class="lineNum"> 30</span> : </span>
<span id="L31"><span class="lineNum"> 31</span> : }</span>