rmontanana/BayesNet
1
0
Fork 0
Code Issues 2 Pull Requests 1 Actions Packages Projects Releases 6 Wiki Activity

Enhance tests coverage and report output

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2024-04-30 14:00:24 +02:00
parent b4a222b100
commit 3c7382a93a
947 changed files with 376596 additions and 3921 deletions
Download Patch File Download Diff File Expand all files Collapse all files

42
html/bayesnet/ensembles/AODE.cc.gcov.html
View File

@@ -37,7 +37,7 @@
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-29 20:48:03</td>
<td class="headerValue">2024-04-30 13:59:18</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
@@ -69,33 +69,33 @@
<span id="L7"><span class="lineNum"> 7</span> : #include &quot;AODE.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"> 209 : AODE::AODE(bool predict_voting) : Ensemble(predict_voting)</span></span>
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 114 : AODE::AODE(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"> 418 : validHyperparameters = { &quot;predict_voting&quot; };</span></span>
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 228 : validHyperparameters = { &quot;predict_voting&quot; };</span></span>
<span id="L13"><span class="lineNum"> 13</span> : </span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 627 : }</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 11 : void AODE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 342 : }</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 6 : void AODE::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
<span id="L16"><span class="lineNum"> 16</span> : {</span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 11 : auto hyperparameters = hyperparameters_;</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 11 : if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 11 : predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 11 : hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 6 : auto hyperparameters = hyperparameters_;</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 6 : if (hyperparameters.contains(&quot;predict_voting&quot;)) {</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 6 : predict_voting = hyperparameters[&quot;predict_voting&quot;];</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 6 : hyperparameters.erase(&quot;predict_voting&quot;);</span></span>
<span id="L21"><span class="lineNum"> 21</span> : }</span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 11 : Classifier::setHyperparameters(hyperparameters);</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 11 : }</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 66 : void AODE::buildModel(const torch::Tensor&amp; weights)</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 6 : Classifier::setHyperparameters(hyperparameters);</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 6 : }</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 36 : void AODE::buildModel(const torch::Tensor&amp; weights)</span></span>
<span id="L25"><span class="lineNum"> 25</span> : {</span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 66 : models.clear();</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 66 : significanceModels.clear();</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 517 : for (int i = 0; i &lt; features.size(); ++i) {</span></span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 451 : models.push_back(std::make_unique&lt;SPODE&gt;(i));</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 36 : models.clear();</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 36 : significanceModels.clear();</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 282 : for (int i = 0; i &lt; features.size(); ++i) {</span></span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 246 : models.push_back(std::make_unique&lt;SPODE&gt;(i));</span></span>
<span id="L30"><span class="lineNum"> 30</span> : }</span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 66 : n_models = models.size();</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 66 : significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 66 : }</span></span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 11 : std::vector&lt;std::string&gt; AODE::graph(const std::string&amp; title) const</span></span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 36 : n_models = models.size();</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 36 : significanceModels = std::vector&lt;double&gt;(n_models, 1.0);</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 36 : }</span></span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 6 : std::vector&lt;std::string&gt; AODE::graph(const std::string&amp; title) const</span></span>
<span id="L35"><span class="lineNum"> 35</span> : {</span>
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 11 : return Ensemble::graph(title);</span></span>
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 6 : return Ensemble::graph(title);</span></span>
<span id="L37"><span class="lineNum"> 37</span> : }</span>
<span id="L38"><span class="lineNum"> 38</span> : }</span>
</pre>