Bayesian Filtering Library  Generated from SVN r
Public Member Functions | Protected Attributes | Friends | List of all members
Sample< T > Class Template Reference

#include <sample.h>

Public Member Functions

 Sample (unsigned int dimension=0)
 Constructor. More...
 
virtual ~Sample ()
 Destructor.
 
 Sample (const Sample< T > &my_sample)
 Copy Constructor.
 
T & ValueGet ()
 Get the value of the Sample.
 
const T & ValueGet () const
 Get the value of the Sample.
 
unsigned int DimensionGet () const
 
void DimensionSet (unsigned int dim)
 
void ValueSet (const T &value)
 Set the value of the Sample. More...
 
Sampleoperator= (const Sample &my_sample)
 Operator =.
 

Protected Attributes

Value
 The Sample Value.
 

Friends

template<typename S >
ostream & operator<< (ostream &stream, Sample< S > &my_sample)
 Print a sample. More...
 
template<typename S >
istream & operator>> (istream &stream, Sample< S > &my_sample)
 

Detailed Description

template<typename T>
class BFL::Sample< T >

Template Class representing a basic sample of a continuous or discrete pdf

Definition at line 47 of file sample.h.

Constructor & Destructor Documentation

§ Sample()

Sample ( unsigned int  dimension = 0)

Constructor.

Parameters
dimensionof the ColumnVector for the continuous samples. This parameter is ignored in the discrete case.

Member Function Documentation

§ ValueSet()

void ValueSet ( const T &  value)

Set the value of the Sample.

Parameters
valuethe value indeed :-)

Friends And Related Function Documentation

§ operator<<

ostream& operator<< ( ostream &  stream,
Sample< S > &  my_sample 
)
friend

Print a sample.

Parameters
streamthe stream to be returned
my_samplethe sample to be printed
Returns
the stream :-)

Definition at line 155 of file sample.h.


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