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-<!-- ======== START OF CLASS DATA ======== -->
-<div class="header">
-<div class="subTitle">jcgp.backend.statistics</div>
-<h2 title="Class StatisticsLogger" class="title">Class StatisticsLogger</h2>
-</div>
-<div class="contentContainer">
-<ul class="inheritance">
-<li>java.lang.Object</li>
-<li>
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-<li>jcgp.backend.statistics.StatisticsLogger</li>
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-<br>
-<pre>public class <span class="typeNameLabel">StatisticsLogger</span>
-extends java.lang.Object</pre>
-<div class="block">This is a utility class for logging experiment statistics when doing multiple runs.
- <br><br>
- Information about each run is added via the <code>logRun()</code> method. The many getters
- can be used to obtain statistics about the logged runs, such as success rate and average
- fitness.
- <br><br>
- <code>JCGP</code> uses this class to perform its logging and print out experiment data at the end.</div>
-<dl>
-<dt><span class="simpleTagLabel">Author:</span></dt>
-<dd>Eduardo Pedroni</dd>
-</dl>
-</li>
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-<caption><span>Constructors</span><span class="tabEnd">&nbsp;</span></caption>
-<tr>
-<th class="colOne" scope="col">Constructor and Description</th>
-</tr>
-<tr class="altColor">
-<td class="colOne"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#StatisticsLogger--">StatisticsLogger</a></span>()</code>
-<div class="block">Create a new statistics logger, use this when resetting is necessary.</div>
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-<tr>
-<th class="colFirst" scope="col">Modifier and Type</th>
-<th class="colLast" scope="col">Method and Description</th>
-</tr>
-<tr id="i0" class="altColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageActiveNodes--">getAverageActiveNodes</a></span>()</code>
-<div class="block">Averages the number of active nodes in the
- best chromosomes obtained across all runs.</div>
-</td>
-</tr>
-<tr id="i1" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageActiveNodesStdDev--">getAverageActiveNodesStdDev</a></span>()</code>
-<div class="block">Calculates the standard deviation of
- the number of active nodes in the best solution
- in each run.</div>
-</td>
-</tr>
-<tr id="i2" class="altColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageFitness--">getAverageFitness</a></span>()</code>
-<div class="block">Averages the best fitness obtained in each run.</div>
-</td>
-</tr>
-<tr id="i3" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageFitnessStdDev--">getAverageFitnessStdDev</a></span>()</code>
-<div class="block">Calculates the standard deviation of
- the best fitness obtained in each run.</div>
-</td>
-</tr>
-<tr id="i4" class="altColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageGenerations--">getAverageGenerations</a></span>()</code>
-<div class="block">Calculates the average generation out of all runs.</div>
-</td>
-</tr>
-<tr id="i5" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageGenerationsStdDev--">getAverageGenerationsStdDev</a></span>()</code>
-<div class="block">Calculates the standard deviation of
- the average number of generations in
- each run.</div>
-</td>
-</tr>
-<tr id="i6" class="altColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageSuccessfulGenerations--">getAverageSuccessfulGenerations</a></span>()</code>
-<div class="block">Calculates the average generation out of successful runs only.</div>
-</td>
-</tr>
-<tr id="i7" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getAverageSuccessfulGenerationsStdDev--">getAverageSuccessfulGenerationsStdDev</a></span>()</code>
-<div class="block">Calculates the standard deviation of
- the average number of generations in
- each run where a perfect solution was found.</div>
-</td>
-</tr>
-<tr id="i8" class="altColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getHighestFitness--">getHighestFitness</a></span>()</code>&nbsp;</td>
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-<tr id="i9" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getLowestFitness--">getLowestFitness</a></span>()</code>&nbsp;</td>
-</tr>
-<tr id="i10" class="altColor">
-<td class="colFirst"><code>int</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getSuccessfulRuns--">getSuccessfulRuns</a></span>()</code>&nbsp;</td>
-</tr>
-<tr id="i11" class="rowColor">
-<td class="colFirst"><code>double</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#getSuccessRate--">getSuccessRate</a></span>()</code>
-<div class="block">Calculates the ratio of successful runs (runs where
- a perfect solution was found) to total number of runs.</div>
-</td>
-</tr>
-<tr id="i12" class="altColor">
-<td class="colFirst"><code>void</code></td>
-<td class="colLast"><code><span class="memberNameLink"><a href="../../../jcgp/backend/statistics/StatisticsLogger.html#logRun-int-double-int-boolean-">logRun</a></span>(int&nbsp;generation,
- double&nbsp;fitness,
- int&nbsp;active,
- boolean&nbsp;successful)</code>
-<div class="block">Log a new run.</div>
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-<pre>public&nbsp;StatisticsLogger()</pre>
-<div class="block">Create a new statistics logger, use this when resetting is necessary.</div>
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- int&nbsp;active,
- boolean&nbsp;successful)</pre>
-<div class="block">Log a new run. Calling any of the statistics getters will
- now take this logged run into account as well as all previously
- logged runs.</div>
-<dl>
-<dt><span class="paramLabel">Parameters:</span></dt>
-<dd><code>generation</code> - the last generation when improvement occurred.</dd>
-<dd><code>fitness</code> - the best fitness achieved in the run.</dd>
-<dd><code>active</code> - the number of active nodes in the best chromosome found.</dd>
-<dd><code>successful</code> - true if a perfect solution was found, false if otherwise.</dd>
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-<dt><span class="returnLabel">Returns:</span></dt>
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-<dl>
-<dt><span class="returnLabel">Returns:</span></dt>
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-<dt><span class="returnLabel">Returns:</span></dt>
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-<dl>
-<dt><span class="returnLabel">Returns:</span></dt>
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-<div class="block">Calculates the average generation out of all runs.
- The generation value in each run corresponds to the
- last generation in which improvement happened.
- <br><br>
- Note that this method includes runs where no perfect
- solution was found. For the average number of generations
- for perfect solutions only, use <code>getAverageSuccessfulGenerations</code>.</div>
-<dl>
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- A double-precision value between 0 and 1 is returned,
- where 0 means 0% success rate and 1 means 100% success rate.</div>
-<dl>
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