fann-get-cascade-candidate-limit.xml

<?xml version="1.0" encoding="utf-8"?>
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<refentry xml:id="function.fann-get-cascade-candidate-limit" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
 <refnamediv>
  <refname>fann_get_cascade_candidate_limit</refname>
  <refpurpose>Return the candidate limit</refpurpose>
 </refnamediv>

 <refsect1 role="description">
  &reftitle.description;
  <methodsynopsis>
   <type>float</type><methodname>fann_get_cascade_candidate_limit</methodname>
   <methodparam><type>resource</type><parameter>ann</parameter></methodparam>
  </methodsynopsis>
  <para>
   The candidate limit is a limit for how much the candidate neuron may be trained. The limit is a limit
   on the proportion between the MSE and candidate score.
  </para>
  <para>
   Set this to a lower value to avoid overfitting and to a higher if overfitting is not a problem.
  </para>
  <para>
   The default candidate limit is 1000.0.
  </para>
 </refsect1>

 <refsect1 role="parameters">
  &reftitle.parameters;
  <variablelist>
   <varlistentry>
    <term><parameter>ann</parameter></term>
    <listitem>
     &fann.ann.description;
    </listitem>
   </varlistentry>
  </variablelist>
 </refsect1>

 <refsect1 role="returnvalues">
  &reftitle.returnvalues;
  <para>
   The candidate limit, or &false; on error.
  </para>
 </refsect1>

 <refsect1 role="seealso">
  &reftitle.seealso;
  <para>
   <simplelist>
    <member><function>fann_set_cascade_candidate_limit</function></member>
   </simplelist>
  </para>
 </refsect1>


</refentry>

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