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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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html/bayesnet/BaseClassifier.h.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="headerCovTableEntryLo">50.0&nbsp;%</td>
@@ -80,7 +80,7 @@
<span id="L18"><span class="lineNum"> 18</span> : virtual BaseClassifier&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</span>
<span id="L19"><span class="lineNum"> 19</span> : virtual BaseClassifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) = 0;</span>
<span id="L20"><span class="lineNum"> 20</span> : virtual BaseClassifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights) = 0;</span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC tlaBgGNC"> 273 : virtual ~BaseClassifier() = default;</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC tlaBgGNC"> 241 : virtual ~BaseClassifier() = default;</span></span>
<span id="L22"><span class="lineNum"> 22</span> : torch::Tensor virtual predict(torch::Tensor&amp; X) = 0;</span>
<span id="L23"><span class="lineNum"> 23</span> : std::vector&lt;int&gt; virtual predict(std::vector&lt;std::vector&lt;int &gt;&gt;&amp; X) = 0;</span>
<span id="L24"><span class="lineNum"> 24</span> : torch::Tensor virtual predict_proba(torch::Tensor&amp; X) = 0;</span>