131 lines
10 KiB
HTML
131 lines
10 KiB
HTML
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
|
|
|
<html lang="en">
|
|
|
|
<head>
|
|
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
|
<title>LCOV - coverage.info - bayesnet/utils/BayesMetrics.h</title>
|
|
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
|
</head>
|
|
|
|
<body>
|
|
|
|
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
|
<tr><td class="title">LCOV - code coverage report</td></tr>
|
|
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
|
|
|
<tr>
|
|
<td width="100%">
|
|
<table cellpadding=1 border=0 width="100%">
|
|
<tr>
|
|
<td width="10%" class="headerItem">Current view:</td>
|
|
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">bayesnet/utils</a> - BayesMetrics.h<span style="font-size: 80%;"> (source / <a href="BayesMetrics.h.func-c.html">functions</a>)</span></td>
|
|
<td width="5%"></td>
|
|
<td width="5%"></td>
|
|
<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>
|
|
</tr>
|
|
<tr>
|
|
<td class="headerItem">Test:</td>
|
|
<td class="headerValue">coverage.info</td>
|
|
<td></td>
|
|
<td class="headerItem">Lines:</td>
|
|
<td class="headerCovTableEntryHi">92.3 %</td>
|
|
<td class="headerCovTableEntry">13</td>
|
|
<td class="headerCovTableEntry">12</td>
|
|
</tr>
|
|
<tr>
|
|
<td class="headerItem">Test Date:</td>
|
|
<td class="headerValue">2024-04-30 13:59:18</td>
|
|
<td></td>
|
|
<td class="headerItem">Functions:</td>
|
|
<td class="headerCovTableEntryHi">100.0 %</td>
|
|
<td class="headerCovTableEntry">4</td>
|
|
<td class="headerCovTableEntry">4</td>
|
|
</tr>
|
|
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
|
</table>
|
|
</td>
|
|
</tr>
|
|
|
|
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
|
</table>
|
|
|
|
<table cellpadding=0 cellspacing=0 border=0>
|
|
<tr>
|
|
<td><br></td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<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> : #ifndef BAYESNET_METRICS_H</span>
|
|
<span id="L8"><span class="lineNum"> 8</span> : #define BAYESNET_METRICS_H</span>
|
|
<span id="L9"><span class="lineNum"> 9</span> : #include <vector></span>
|
|
<span id="L10"><span class="lineNum"> 10</span> : #include <string></span>
|
|
<span id="L11"><span class="lineNum"> 11</span> : #include <torch/torch.h></span>
|
|
<span id="L12"><span class="lineNum"> 12</span> : namespace bayesnet {</span>
|
|
<span id="L13"><span class="lineNum"> 13</span> : class Metrics {</span>
|
|
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
|
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC tlaBgGNC"> 2658 : Metrics() = default;</span></span>
|
|
<span id="L16"><span class="lineNum"> 16</span> : Metrics(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int classNumStates);</span>
|
|
<span id="L17"><span class="lineNum"> 17</span> : Metrics(const std::vector<std::vector<int>>& vsamples, const std::vector<int>& labels, const std::vector<std::string>& features, const std::string& className, const int classNumStates);</span>
|
|
<span id="L18"><span class="lineNum"> 18</span> : std::vector<int> SelectKBestWeighted(const torch::Tensor& weights, bool ascending = false, unsigned k = 0);</span>
|
|
<span id="L19"><span class="lineNum"> 19</span> : std::vector<double> getScoresKBest() const;</span>
|
|
<span id="L20"><span class="lineNum"> 20</span> : double mutualInformation(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);</span>
|
|
<span id="L21"><span class="lineNum"> 21</span> : torch::Tensor conditionalEdge(const torch::Tensor& weights);</span>
|
|
<span id="L22"><span class="lineNum"> 22</span> : std::vector<std::pair<int, int>> maximumSpanningTree(const std::vector<std::string>& features, const torch::Tensor& weights, const int root);</span>
|
|
<span id="L23"><span class="lineNum"> 23</span> : protected:</span>
|
|
<span id="L24"><span class="lineNum"> 24</span> : torch::Tensor samples; // n+1xm torch::Tensor used to fit the model where samples[-1] is the y std::vector</span>
|
|
<span id="L25"><span class="lineNum"> 25</span> : std::string className;</span>
|
|
<span id="L26"><span class="lineNum"> 26</span> : double entropy(const torch::Tensor& feature, const torch::Tensor& weights);</span>
|
|
<span id="L27"><span class="lineNum"> 27</span> : std::vector<std::string> features;</span>
|
|
<span id="L28"><span class="lineNum"> 28</span> : template <class T></span>
|
|
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 1251 : std::vector<std::pair<T, T>> doCombinations(const std::vector<T>& source)</span></span>
|
|
<span id="L30"><span class="lineNum"> 30</span> : {</span>
|
|
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 1251 : std::vector<std::pair<T, T>> result;</span></span>
|
|
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 6532 : for (int i = 0; i < source.size(); ++i) {</span></span>
|
|
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 5281 : T temp = source[i];</span></span>
|
|
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 16445 : for (int j = i + 1; j < source.size(); ++j) {</span></span>
|
|
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 11164 : result.push_back({ temp, source[j] });</span></span>
|
|
<span id="L36"><span class="lineNum"> 36</span> : }</span>
|
|
<span id="L37"><span class="lineNum"> 37</span> : }</span>
|
|
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 1251 : return result;</span></span>
|
|
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaUNC tlaBgUNC"> 0 : }</span></span>
|
|
<span id="L40"><span class="lineNum"> 40</span> : template <class T></span>
|
|
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC tlaBgGNC"> 68 : T pop_first(std::vector<T>& v)</span></span>
|
|
<span id="L42"><span class="lineNum"> 42</span> : {</span>
|
|
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 68 : T temp = v[0];</span></span>
|
|
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 68 : v.erase(v.begin());</span></span>
|
|
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 68 : return temp;</span></span>
|
|
<span id="L46"><span class="lineNum"> 46</span> : }</span>
|
|
<span id="L47"><span class="lineNum"> 47</span> : private:</span>
|
|
<span id="L48"><span class="lineNum"> 48</span> : int classNumStates = 0;</span>
|
|
<span id="L49"><span class="lineNum"> 49</span> : std::vector<double> scoresKBest;</span>
|
|
<span id="L50"><span class="lineNum"> 50</span> : std::vector<int> featuresKBest; // sorted indices of the features</span>
|
|
<span id="L51"><span class="lineNum"> 51</span> : double conditionalEntropy(const torch::Tensor& firstFeature, const torch::Tensor& secondFeature, const torch::Tensor& weights);</span>
|
|
<span id="L52"><span class="lineNum"> 52</span> : };</span>
|
|
<span id="L53"><span class="lineNum"> 53</span> : }</span>
|
|
<span id="L54"><span class="lineNum"> 54</span> : #endif</span>
|
|
</pre>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
<br>
|
|
|
|
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
|
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
|
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
|
</table>
|
|
<br>
|
|
|
|
</body>
|
|
</html>
|