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<section id="spapros-ev-probesetevaluator-evaluate-probeset">
<h1>spapros.ev.ProbesetEvaluator.evaluate_probeset<a class="headerlink" href="#spapros-ev-probesetevaluator-evaluate-probeset" title="Permalink to this heading"></a></h1>
<dl class="py method">
<dt class="sig sig-object py" id="spapros.ev.ProbesetEvaluator.evaluate_probeset">
<span class="sig-prename descclassname"><span class="pre">ProbesetEvaluator.</span></span><span class="sig-name descname"><span class="pre">evaluate_probeset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">genes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">set_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'probeset1'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_summary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_only</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#spapros.ev.ProbesetEvaluator.evaluate_probeset" title="Permalink to this definition"></a></dt>
<dd><p>Compute probe set specific evaluations.</p>
<p class="rubric">Notes</p>
<p>For some metrics, the computations are split up in pre computations (independent of shared results) and the
computations where the shared results are used.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>genes</strong> (<em>List</em>) – The selected genes.</p></li>
<li><p><strong>set_id</strong> (<em>str</em>) – ID of the current probeset. This is chosen automatically if <cite>None</cite> is given.</p></li>
<li><p><strong>update_summary</strong> (<em>bool</em>) – Whether to compute summary statistics, update the summary table and also update the summary csv file if
<code class="xref py py-attr docutils literal notranslate"><span class="pre">dir</span></code> is not None. This option is interesting when using
<code class="xref py py-class docutils literal notranslate"><span class="pre">ProbesetEvaluator</span></code> in a distributed pipeline since multiple processes would access
the same file in parallel.</p></li>
<li><p><strong>pre_only</strong> (<em>bool</em>) – For some metrics there are computationally expensive calculations that can be started independent of
the shared results being finished. This is interesting for a parallelised pipeline. If <code class="xref py py-attr docutils literal notranslate"><span class="pre">pre_only</span></code>
is set to <cite>True</cite> only these pre calculations are computed.</p></li>
</ul>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p>None</p>
</dd>
</dl>
</dd></dl>
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