Bayesian Filtering Library
Generated from SVN r
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#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... | |
Sample & | operator= (const Sample &my_sample) |
Operator =. | |
Protected Attributes | |
T | 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) |
Template Class representing a basic sample of a continuous or discrete pdf
Sample | ( | unsigned int | dimension = 0 | ) |
Constructor.
dimension | of the ColumnVector for the continuous samples. This parameter is ignored in the discrete case. |
void ValueSet | ( | const T & | value | ) |
Set the value of the Sample.
value | the value indeed :-) |
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friend |