vertexset.html

java bayes的bin文件

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<TD><B>Methods inherited from class BayesianNetworks.<A HREF="../BayesianNetworks/DiscreteFunction.html" title="class in BayesianNetworks">DiscreteFunction</A></B></TD>
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<TD><CODE><A HREF="../BayesianNetworks/DiscreteFunction.html#evaluate(BayesianNetworks.DiscreteVariable[], int[])">evaluate</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_index(int)">get_index</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_indexes()">get_indexes</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_position_from_indexes(BayesianNetworks.DiscreteVariable[], int[])">get_position_from_indexes</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_value(int)">get_value</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_values()">get_values</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_variable(int)">get_variable</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#get_variables()">get_variables</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#memberOf(int)">memberOf</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#multiply(BayesianNetworks.DiscreteVariable[], BayesianNetworks.DiscreteFunction)">multiply</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#normalize_first()">normalize_first</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#normalize()">normalize</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#number_values()">number_values</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#number_variables()">number_variables</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#set_value(int, double)">set_value</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#set_values(double[])">set_values</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#set_variable(int, BayesianNetworks.DiscreteVariable)">set_variable</A>, <A HREF="../BayesianNetworks/DiscreteFunction.html#sum_out(BayesianNetworks.DiscreteVariable[], boolean[])">sum_out</A></CODE></TD>
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<TD><B>Methods inherited from class java.lang.Object</B></TD>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
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<A NAME="VertexSet(BayesianNetworks.BayesNet, BayesianNetworks.ProbabilityVariable[], double[][], java.util.Vector)"><!-- --></A><H3>
VertexSet</H3>
<PRE>
public <B>VertexSet</B>(<A HREF="../BayesianNetworks/BayesNet.html" title="class in BayesianNetworks">BayesNet</A>&nbsp;b_n,
                 <A HREF="../BayesianNetworks/ProbabilityVariable.html" title="class in BayesianNetworks">ProbabilityVariable</A>[]&nbsp;pvs,
                 double[][]&nbsp;ep,
                 java.util.Vector&nbsp;prop)</PRE>
<DL>
<DD>Default constructor for a VertexQBProbabilityFunction.
<P>
</DL>
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<A NAME="VertexSet(BayesianNetworks.BayesNet, BayesianNetworks.ProbabilityVariable[], double[], java.util.Vector, double[][])"><!-- --></A><H3>
VertexSet</H3>
<PRE>
public <B>VertexSet</B>(<A HREF="../BayesianNetworks/BayesNet.html" title="class in BayesianNetworks">BayesNet</A>&nbsp;b_n,
                 <A HREF="../BayesianNetworks/ProbabilityVariable.html" title="class in BayesianNetworks">ProbabilityVariable</A>[]&nbsp;pvs,
                 double[]&nbsp;v,
                 java.util.Vector&nbsp;prop,
                 double[][]&nbsp;ep)</PRE>
<DL>
<DD>Constructor for a VertexQBProbabilityFunction.
<P>
</DL>
<HR>

<A NAME="VertexSet(BayesianNetworks.ProbabilityFunction)"><!-- --></A><H3>
VertexSet</H3>
<PRE>
public <B>VertexSet</B>(<A HREF="../BayesianNetworks/ProbabilityFunction.html" title="class in BayesianNetworks">ProbabilityFunction</A>&nbsp;pf)</PRE>
<DL>
<DD>Constructor for a VertexQBProbabilityFunction.
<P>
</DL>
<HR>

<A NAME="VertexSet(BayesianNetworks.ProbabilityFunction, double[])"><!-- --></A><H3>
VertexSet</H3>
<PRE>
public <B>VertexSet</B>(<A HREF="../BayesianNetworks/ProbabilityFunction.html" title="class in BayesianNetworks">ProbabilityFunction</A>&nbsp;pf,
                 double[]&nbsp;new_values)</PRE>
<DL>
<DD>Constructor for a VertexQBProbabilityFunction from a 
 ProbabilityFunction object and new values.
<P>
</DL>

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<A NAME="prepare_auxiliary_variable(BayesianNetworks.BayesNet)"><!-- --></A><H3>
prepare_auxiliary_variable</H3>
<PRE>
public <A HREF="../CredalSets/VertexSet.html" title="class in CredalSets">VertexSet</A> <B>prepare_auxiliary_variable</B>(<A HREF="../BayesianNetworks/BayesNet.html" title="class in BayesianNetworks">BayesNet</A>&nbsp;transformed_bn)</PRE>
<DL>
<DD>Put together all the values for the possible vertices of
 credal set and create an auxiliary variable to indicate
 which vertex to consider
 There are three things to do:
 1) Create an auxiliary_variable with correct values.
 2) Combine the values into a new array.
 3) Insert the auxiliary_variable into the variables array.
<P>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="evaluate(java.lang.String[][], int)"><!-- --></A><H3>
evaluate</H3>
<PRE>
public double <B>evaluate</B>(java.lang.String[][]&nbsp;variable_value_pairs,
                       int&nbsp;index_extreme_point)</PRE>
<DL>
<DD>Evaluate a function given a list of pairs (Variable Value)
 which specifies a value of the function, and the index
 of the extreme distribution to consider.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="set_value(java.lang.String[][], double, int)"><!-- --></A><H3>
set_value</H3>
<PRE>
public void <B>set_value</B>(java.lang.String[][]&nbsp;variable_value_pairs,
                      double&nbsp;val,
                      int&nbsp;index_extreme_point)</PRE>
<DL>
<DD>Set a single value of the probability function.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="print(java.io.PrintStream)"><!-- --></A><H3>
print</H3>
<PRE>
public void <B>print</B>(java.io.PrintStream&nbsp;out)</PRE>
<DL>
<DD>Print method.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../CredalSets/QBProbabilityFunction.html#print(java.io.PrintStream)">print</A></CODE> in class <CODE><A HREF="../CredalSets/QBProbabilityFunction.html" title="class in CredalSets">QBProbabilityFunction</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="compose_values()"><!-- --></A><H3>
compose_values</H3>
<PRE>
public void <B>compose_values</B>()</PRE>
<DL>
<DD>Produce the centroid of all extreme distributions and
 insert it into the values of the distribution.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="set_local_credal_set(int)"><!-- --></A><H3>
set_local_credal_set</H3>
<PRE>
public void <B>set_local_credal_set</B>(int&nbsp;number_extreme_points)</PRE>
<DL>
<DD>Set the number of extreme distributions in the credal set.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="set_extreme_point(int, double[])"><!-- --></A><H3>
set_extreme_point</H3>
<PRE>
public void <B>set_extreme_point</B>(int&nbsp;index,
                              double[]&nbsp;ep)</PRE>
<DL>
<DD>Set an extreme point of the credal set.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_auxiliary_variable()"><!-- --></A><H3>
get_auxiliary_variable</H3>
<PRE>
public <A HREF="../BayesianNetworks/ProbabilityVariable.html" title="class in BayesianNetworks">ProbabilityVariable</A> <B>get_auxiliary_variable</B>()</PRE>
<DL>
<DD>Methods that allow basic manipulation of non-public variables.
<P>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_extreme_points()"><!-- --></A><H3>
get_extreme_points</H3>
<PRE>
public double[][] <B>get_extreme_points</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
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