instanceaveraging.html

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculates the empirical variance.</TD>
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<TH ALIGN="left"><B>Methods inherited from class com.rapidminer.operator.learner.igss.utility.<A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html" title="class in com.rapidminer.operator.learner.igss.utility">AbstractUtility</A></B></TH>
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<TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#calculateM(double, double)">calculateM</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#confidenceIntervall(double, double)">confidenceIntervall</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#inverseNormal(double)">inverseNormal</A></CODE></TD>
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<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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&nbsp;<A NAME="methods_inherited_from_class_com.rapidminer.operator.learner.igss.utility.Utility"><!-- --></A>
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<TH ALIGN="left"><B>Methods inherited from interface com.rapidminer.operator.learner.igss.utility.<A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/Utility.html" title="interface in com.rapidminer.operator.learner.igss.utility">Utility</A></B></TH>
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<TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/Utility.html#getUpperBound(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)">getUpperBound</A>, <A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/Utility.html#utility(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis)">utility</A></CODE></TD>
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<A NAME="InstanceAveraging(double[], int)"><!-- --></A><H3>
InstanceAveraging</H3>
<PRE>
public <B>InstanceAveraging</B>(double[]&nbsp;priors,
                         int&nbsp;large)</PRE>
<DL>
<DD>Constructor
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<A NAME="confidenceIntervall(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)"><!-- --></A><H3>
confidenceIntervall</H3>
<PRE>
public double <B>confidenceIntervall</B>(double&nbsp;totalWeight,
                                  double&nbsp;totalPositiveWeight,
                                  <A HREF="../../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>&nbsp;hypo,
                                  double&nbsp;delta)</PRE>
<DL>
<DD>Calculates the the confidence intervall for a specific hypothesis. 
  Uses Chernoff bounds if the number of random experiments is too small and normal approximation otherwise.
  This method is adapted for instance averaging utility types. Every example is considered a random experiment, because
  f_inst is evaluated for every example!!! This is the reason why total weight is used instead of covered weight
  Should be overwritten by subclasses if they make a different random experiment.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/Utility.html#confidenceIntervall(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)">confidenceIntervall</A></CODE> in interface <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/Utility.html" title="interface in com.rapidminer.operator.learner.igss.utility">Utility</A></CODE><DT><B>Overrides:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#confidenceIntervall(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)">confidenceIntervall</A></CODE> in class <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html" title="class in com.rapidminer.operator.learner.igss.utility">AbstractUtility</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
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<A NAME="conf(double, double)"><!-- --></A><H3>
conf</H3>
<PRE>
public double <B>conf</B>(double&nbsp;totalWeight,
                   double&nbsp;delta)</PRE>
<DL>
<DD>Calculate confidence intervall without a specific rule for instance averaging functions.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#conf(double, double)">conf</A></CODE> in class <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html" title="class in com.rapidminer.operator.learner.igss.utility">AbstractUtility</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="conf(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)"><!-- --></A><H3>
conf</H3>
<PRE>
public double <B>conf</B>(double&nbsp;totalWeight,
                   double&nbsp;totalPositiveWeight,
                   <A HREF="../../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>&nbsp;hypo,
                   double&nbsp;delta)</PRE>
<DL>
<DD>Calculate confidence intervall for a specific rule for instance averaging functions.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#conf(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis, double)">conf</A></CODE> in class <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html" title="class in com.rapidminer.operator.learner.igss.utility">AbstractUtility</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="variance(double, double, com.rapidminer.operator.learner.igss.hypothesis.Hypothesis)"><!-- --></A><H3>
variance</H3>
<PRE>
public abstract double <B>variance</B>(double&nbsp;totalWeight,
                                double&nbsp;totalPositiveWeight,
                                <A HREF="../../../../../../com/rapidminer/operator/learner/igss/hypothesis/Hypothesis.html" title="class in com.rapidminer.operator.learner.igss.hypothesis">Hypothesis</A>&nbsp;hypo)</PRE>
<DL>
<DD>Calculates the empirical variance.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="confSmallM(double, double)"><!-- --></A><H3>
confSmallM</H3>
<PRE>
public double <B>confSmallM</B>(double&nbsp;totalWeight,
                         double&nbsp;delta)</PRE>
<DL>
<DD>Calculate confidence intervall without a specific rule for instance averaging functions and small m.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html#confSmallM(double, double)">confSmallM</A></CODE> in class <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/igss/utility/AbstractUtility.html" title="class in com.rapidminer.operator.learner.igss.utility">AbstractUtility</A></CODE></DL>
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