plProbTable Class Reference

A plProbTable represents a table of probability values on integer and/or discretized real variables. More...

#include <plProbTable.h>

Inheritance diagram for plProbTable:

[legend]Collaboration diagram for plProbTable:

[legend]List of all members.

Public Member Functions
	plProbTable (const plVariablesConjunction &V, bool normalized=true)
	Constructor1: Constructs an empty probability table on the variable (s) {V}. You should set normalized to true iff you want plProbTable represents probability distributions i.e.
	plProbTable (const plVariablesConjunction &V, const plProbValue *values, bool normalized=true)
	Constructor2: Constructs a probability table on the variable (s) {V} and fills it using the values contained in the C array {values}.
	plProbTable (const plVariablesConjunction &V, const vector< plProbValue > &values, bool normalized=true)
	Constructor3: Constructs a probability table on the variable (s) {V} and fills it using the values contained in the STL vector {values}.

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Detailed Description

A plProbTable represents a table of probability values on integer and/or discretized real variables.

This includes both the one-dimensional case and the multi-dimensional case.

Definition at line 41 of file plProbTable.h.

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Constructor & Destructor Documentation

plProbTable::plProbTable (  const plVariablesConjunction &  V, bool  normalized = true )

Constructor1: Constructs an empty probability table on the variable (s) {V}. You should set normalized to true iff you want plProbTable represents probability distributions i.e. normalized table of numbers. Warning : normalized set to false says that you want keep the entry, so plProbTable does not represent ever a probability distribution. You should set normalized to true iff you want ProBT to normalise the distribution for you.

plProbTable::plProbTable (  const plVariablesConjunction &  V, const plProbValue *  values, bool  normalized = true )

Constructor2: Constructs a probability table on the variable (s) {V} and fills it using the values contained in the C array {values}. You should set normalized to true iff you want plProbTable represents probability distributions i.e. normalized table of numbers. Warning : normalized set to false says that you want keep the entry, so plProbTable does not represent ever a probability distribution. You should set normalized to true iff you want ProBT to normalise the distribution for you. In multi-dimentional cases ({H = H1^H2}), where {H1} and {H2} can take n1 and n2 values respectively, it constructs the probability table on P(H) using the values {values} as follows: P([H1=1, H2=1]) = values[0] P([H1=1, H2=2]) = values[1] . . . P([H1=1, H2=n2]) = values[n2-1] P([H1=2, H2=1]) = values[n2]) P([H1=2, H2=2]) = values[n2+1] . . . P([H1=2, H2=n2]) = values[2*(n2-1)] . . . P([H1=n, H2=m]) = values[(n1-1)*(n2-1)]

plProbTable::plProbTable (  const plVariablesConjunction &  V, const vector< plProbValue > &  values, bool  normalized = true )

Constructor3: Constructs a probability table on the variable (s) {V} and fills it using the values contained in the STL vector {values}. Same as Constructor2 for multi dimensional cases.

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The documentation for this class was generated from the following file:

• plProbTable.h

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