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Return File Library to /lib as it is needed by Local Discretization (factorize)

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Ricardo Montañana Gómez
2024-04-30 20:31:14 +02:00
parent 7aeffba740
commit 618a1e539c
148 changed files with 1804 additions and 1769 deletions
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html/bayesnet/classifiers/Classifier.h.gcov.html
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@@ -37,7 +37,7 @@
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-30 13:59:18</td>
<td class="headerValue">2024-04-30 20:26:57</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
@@ -77,7 +77,7 @@
<span id="L15"><span class="lineNum"> 15</span> : class Classifier : public BaseClassifier {</span>
<span id="L16"><span class="lineNum"> 16</span> : public:</span>
<span id="L17"><span class="lineNum"> 17</span> : Classifier(Network model);</span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC tlaBgGNC"> 1818 : virtual ~Classifier() = default;</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC tlaBgGNC"> 606 : virtual ~Classifier() = default;</span></span>
<span id="L19"><span class="lineNum"> 19</span> : Classifier&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&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) override;</span>
<span id="L20"><span class="lineNum"> 20</span> : Classifier&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) override;</span>
<span id="L21"><span class="lineNum"> 21</span> : Classifier&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) override;</span>
@@ -91,13 +91,13 @@
<span id="L29"><span class="lineNum"> 29</span> : std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
<span id="L30"><span class="lineNum"> 30</span> : torch::Tensor predict_proba(torch::Tensor&amp; X) override;</span>
<span id="L31"><span class="lineNum"> 31</span> : std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 192 : status_t getStatus() const override { return status; }</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 144 : std::string getVersion() override { return { project_version.begin(), project_version.end() }; };</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 64 : status_t getStatus() const override { return status; }</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 48 : std::string getVersion() override { return { project_version.begin(), project_version.end() }; };</span></span>
<span id="L34"><span class="lineNum"> 34</span> : float score(torch::Tensor&amp; X, torch::Tensor&amp; y) override;</span>
<span id="L35"><span class="lineNum"> 35</span> : float score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) override;</span>
<span id="L36"><span class="lineNum"> 36</span> : std::vector&lt;std::string&gt; show() const override;</span>
<span id="L37"><span class="lineNum"> 37</span> : std::vector&lt;std::string&gt; topological_order() override;</span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 114 : std::vector&lt;std::string&gt; getNotes() const override { return notes; }</span></span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 38 : std::vector&lt;std::string&gt; getNotes() const override { return notes; }</span></span>
<span id="L39"><span class="lineNum"> 39</span> : std::string dump_cpt() const override;</span>
<span id="L40"><span class="lineNum"> 40</span> : void setHyperparameters(const nlohmann::json&amp; hyperparameters) override; //For classifiers that don't have hyperparameters</span>
<span id="L41"><span class="lineNum"> 41</span> : protected:</span>