<?xml version='1.0' encoding='UTF-8' standalone='no'?>
<doxygen xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="compound.xsd" version="1.8.14">
  <compounddef id="group__forpyimpurities_group" kind="group">
    <compoundname>forpyimpuritiesGroup</compoundname>
    <title>Impurity Measures</title>
    <innerclass refid="classforpy_1_1_classification_error" prot="public">forpy::ClassificationError</innerclass>
    <innerclass refid="classforpy_1_1_i_entropy_function" prot="public">forpy::IEntropyFunction</innerclass>
    <innerclass refid="classforpy_1_1_induced_entropy" prot="public">forpy::InducedEntropy</innerclass>
    <innerclass refid="classforpy_1_1_renyi_entropy" prot="public">forpy::RenyiEntropy</innerclass>
    <innerclass refid="classforpy_1_1_shannon_entropy" prot="public">forpy::ShannonEntropy</innerclass>
    <innerclass refid="classforpy_1_1_tsallis_entropy" prot="public">forpy::TsallisEntropy</innerclass>
    <briefdescription>
<para>Impurity measures for calculating <formula id="5">$H$</formula>. </para>    </briefdescription>
    <detaileddescription>
<para>They are currently only used for providing classification impurities. The differential entropy has theoretical and practical disadvantages and has been omitted so far in favor of direct MSE optimization. </para>    </detaileddescription>
  </compounddef>
</doxygen>
