discretefunction.html

java bayes的bin文件

<PRE>
public <B>DiscreteFunction</B>(<A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[]&nbsp;pvs,
                        double[]&nbsp;v)</PRE>
<DL>
<DD>Simple constructor for DiscreteFunction.
<P>
<DT><B>Parameters:</B><DD><CODE>pvs</CODE> - An array of ProbabilityVariable objects.<DD><CODE>v</CODE> - An array of values for the function.</DL>

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<B>Method Detail</B></FONT></TD>
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<A NAME="memberOf(int)"><!-- --></A><H3>
memberOf</H3>
<PRE>
public boolean <B>memberOf</B>(int&nbsp;index)</PRE>
<DL>
<DD>Check whether an index is present in the function.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="evaluate(BayesianNetworks.DiscreteVariable[], int[])"><!-- --></A><H3>
evaluate</H3>
<PRE>
public double <B>evaluate</B>(<A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[]&nbsp;pvs,
                       int[]&nbsp;value_indexes)</PRE>
<DL>
<DD>Evaluate a function given a (possibly partial) instantiation of variables through the indexes. Indexes indicate
 which variables are present in the function to be evaluated, assuming an array of DiscreteVariable objects is
 present.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>pvs</CODE> - The array of DiscreteVariable objects that is used to compute the position indicated by the
                      markers.<DD><CODE>value_indexes</CODE> - The markers.</DL>
</DD>
</DL>
<HR>

<A NAME="get_position_from_indexes(BayesianNetworks.DiscreteVariable[], int[])"><!-- --></A><H3>
get_position_from_indexes</H3>
<PRE>
public int <B>get_position_from_indexes</B>(<A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[]&nbsp;pvs,
                                     int[]&nbsp;variable_indexes)</PRE>
<DL>
<DD>Get position in a function from a (possibly partial) instantiation of variables through the indexes.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="sum_out(BayesianNetworks.DiscreteVariable[], boolean[])"><!-- --></A><H3>
sum_out</H3>
<PRE>
public <A HREF="../BayesianNetworks/DiscreteFunction.html" title="class in BayesianNetworks">DiscreteFunction</A> <B>sum_out</B>(<A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[]&nbsp;dvs,
                                boolean[]&nbsp;markers)</PRE>
<DL>
<DD>Sum out some variables in the function.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>markers</CODE> - A boolean vector indicating which variables are to be summed out. If markers[i] is true, then the
                ith variable is to be summed out; if markers[i] is false, the ith variable is not to be summed
                out.</DL>
</DD>
</DL>
<HR>

<A NAME="multiply(BayesianNetworks.DiscreteVariable[], BayesianNetworks.DiscreteFunction)"><!-- --></A><H3>
multiply</H3>
<PRE>
public <A HREF="../BayesianNetworks/DiscreteFunction.html" title="class in BayesianNetworks">DiscreteFunction</A> <B>multiply</B>(<A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[]&nbsp;dvs,
                                 <A HREF="../BayesianNetworks/DiscreteFunction.html" title="class in BayesianNetworks">DiscreteFunction</A>&nbsp;mult)</PRE>
<DL>
<DD>Multiply two DiscreteFunction objects.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="normalize()"><!-- --></A><H3>
normalize</H3>
<PRE>
public void <B>normalize</B>()</PRE>
<DL>
<DD>Normalize a  function (in-place).
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="normalize_first()"><!-- --></A><H3>
normalize_first</H3>
<PRE>
public void <B>normalize_first</B>()</PRE>
<DL>
<DD>Normalize a  function (in-place) assuming that it is a conditional distribution for the first variable
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="print()"><!-- --></A><H3>
print</H3>
<PRE>
public void <B>print</B>()</PRE>
<DL>
<DD>Print method for DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<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 for DiscreteFunction into a PrintStream.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="number_variables()"><!-- --></A><H3>
number_variables</H3>
<PRE>
public int <B>number_variables</B>()</PRE>
<DL>
<DD>Return the number of DiscreteVariable objects in the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="number_values()"><!-- --></A><H3>
number_values</H3>
<PRE>
public int <B>number_values</B>()</PRE>
<DL>
<DD>Return the number of values in the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_variables()"><!-- --></A><H3>
get_variables</H3>
<PRE>
public <A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>[] <B>get_variables</B>()</PRE>
<DL>
<DD>Get the variables in the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_variable(int)"><!-- --></A><H3>
get_variable</H3>
<PRE>
public <A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A> <B>get_variable</B>(int&nbsp;index)</PRE>
<DL>
<DD>Get a variable in the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - Position of the variable to be returned in the array of DiscreteVariable objects.</DL>
</DD>
</DL>
<HR>

<A NAME="get_indexes()"><!-- --></A><H3>
get_indexes</H3>
<PRE>
public int[] <B>get_indexes</B>()</PRE>
<DL>
<DD>Get an array with all the indexes of the DiscreteVariable objects in the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_index(int)"><!-- --></A><H3>
get_index</H3>
<PRE>
public int <B>get_index</B>(int&nbsp;ind)</PRE>
<DL>
<DD>Get a DiscreteVariable object with a particular index.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ind</CODE> - Index of the desired DiscreteVariable.</DL>
</DD>
</DL>
<HR>

<A NAME="get_values()"><!-- --></A><H3>
get_values</H3>
<PRE>
public double[] <B>get_values</B>()</PRE>
<DL>
<DD>Get all values of the current DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="get_value(int)"><!-- --></A><H3>
get_value</H3>
<PRE>
public double <B>get_value</B>(int&nbsp;index)</PRE>
<DL>
<DD>Get a value of the current DiscreteFunction given the position of the value in the array of values.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="set_value(int, double)"><!-- --></A><H3>
set_value</H3>
<PRE>
public void <B>set_value</B>(int&nbsp;index,
                      double&nbsp;v)</PRE>
<DL>
<DD>Set a value in the current DiscreteFunction given its position in the array of values.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - The position of the value.<DD><CODE>v</CODE> - The new value.</DL>
</DD>
</DL>
<HR>

<A NAME="set_values(double[])"><!-- --></A><H3>
set_values</H3>
<PRE>
public void <B>set_values</B>(double[]&nbsp;vs)</PRE>
<DL>
<DD>Set the values in the DiscreteFunction.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>

<A NAME="set_variable(int, BayesianNetworks.DiscreteVariable)"><!-- --></A><H3>
set_variable</H3>
<PRE>
public void <B>set_variable</B>(int&nbsp;index,
                         <A HREF="../BayesianNetworks/DiscreteVariable.html" title="class in BayesianNetworks">DiscreteVariable</A>&nbsp;dv)</PRE>
<DL>
<DD>Set a DiscreteVariable in the current DiscreteFunction given its position in the array of values.
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>index</CODE> - The position of the value.</DL>
</DD>
</DL>
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