Adding predict probability function

git-svn-id: https://svn.php.net/repository/phpdoc/en/trunk@321143 c90b9560-bf6c-de11-be94-00142212c4b1

reference/svm/svm.xml

@@ -280,7 +280,7 @@
      <varlistentry xml:id="svm.constants.opt-propability">
       <term><constant>SVM::OPT_PROBABILITY</constant></term>
       <listitem>
-       <para>Training parmater, boolean, for whether to use probability estimates</para>
+       <para>Training parameter, boolean, for whether to collect and use probability estimates</para>
       </listitem>
      </varlistentry>
 
@@ -322,7 +322,7 @@
      <varlistentry xml:id="svm.constants.opt-c">
       <term><constant>SVM::OPT_C</constant></term>
       <listitem>
-       <para>The option for the cost parameter that controls tradeoff between errors and generality </para>
+       <para>The option for the cost parameter that controls tradeoff between errors and generality - effectively the penalty for misclassifying training examples. </para>
       </listitem>
      </varlistentry>
 

reference/svm/svmmodel/predict_probability.xml

@@ -0,0 +1,92 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- $Revision: 317663 $ -->
+
+<refentry xml:id="svmmodel.predict_probability" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
+ <refnamediv>
+  <refname>SVMModel::predict_probability</refname>
+  <refpurpose>Return class probabilities for previous unseen data</refpurpose>
+ </refnamediv>
+
+ <refsect1 role="description">
+  &reftitle.description;
+  <methodsynopsis>
+   <modifier>public</modifier> <type>float</type><methodname>SVMModel::predict_probability</methodname>
+   <methodparam><type>array</type><parameter>data</parameter></methodparam>
+  </methodsynopsis>
+  <para>
+   This function accepts an array of data and attempts to predict the class, as with the predict function.
+   Additionally, however, this function returns an array of probabilities, one per class in the model, which
+   represent the estimated chance of the data supplied being a member of that class. Requires that the model
+   to be used has been trained with the probability parameter set to true.
+  </para>
+
+ </refsect1>
+
+ <refsect1 role="parameters">
+  &reftitle.parameters;
+  <para>
+   <variablelist>
+    <varlistentry>
+     <term><parameter>data</parameter></term>
+     <listitem>
+      <para>
+       The array to be classified. This should be a series of key => value 
+       pairs in increasing key order, but not necessarily continuous. 
+      </para>
+     </listitem>
+    </varlistentry>
+    <varlistentry>
+     <term><parameter>probabilities</parameter></term>
+     <listitem>
+      <para>
+       The supplied value will be filled with the probabilities. This will be either null, in the case 
+       of a model without probability information, or an array where the index is the class name and the value
+       the predicted probability. 
+      </para>
+     </listitem>
+    </varlistentry>
+   </variablelist>
+  </para>
+ </refsect1>
+
+ <refsect1 role="returnvalues">
+  &reftitle.returnvalues;
+  <para>
+   Float the predicted value. This will be a class label in the case of 
+   classification, a real value in the case of regression.
+   Throws SVMException on error
+  </para>
+ </refsect1>
+
+ <refsect1 role="seealso">
+  &reftitle.seealso;
+  <para>
+   <simplelist>
+    <member><methodname>SVM::predict</methodname></member>
+   </simplelist>
+  </para>
+ </refsect1>
+
+
+</refentry>
+
+<!-- Keep this comment at the end of the file
+Local variables:
+mode: sgml
+sgml-omittag:t
+sgml-shorttag:t
+sgml-minimize-attributes:nil
+sgml-always-quote-attributes:t
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+sgml-default-dtd-file:"~/.phpdoc/manual.ced"
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+End:
+vim600: syn=xml fen fdm=syntax fdl=2 si
+vim: et tw=78 syn=sgml
+vi: ts=1 sw=1
+-->

reference/svm/versions.xml

@@ -15,6 +15,7 @@
  <function name='svmmodel::save' from='PECL svm &gt;= 0.1.0'/>
  <function name='svmmodel::load' from='PECL svm &gt;= 0.1.00.1.0'/>
  <function name='svmmodel::predict' from='PECL svm &gt;= 0.1.0'/>
+ <function name='svmmodel::predict_probability' from='PECL svm &gt;= 0.1.4'/>
  <function name='svmexception::__clone' from='PECL svm &gt;= 0.1.0'/>
  <function name='svmexception::__construct' from='PECL svm &gt;= 0.1.0'/>
  <function name='svmexception::getmessage' from='PECL svm &gt;= 0.1.0'/>