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Bayesian Filtering Library Generated from SVN r
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#include <weightedsample.h>
Public Member Functions | |
| WeightedSample (int dimension=0) | |
| Constructor. | |
| virtual | ~WeightedSample () |
| Destructor. | |
| WeightedSample (const WeightedSample< T > &my_weighted_sample) | |
| Copy constructor. | |
| double | WeightGet () const |
| Get the weight. | |
| void | WeightSet (double weight) |
| Set the weight. | |
| WeightedSample< T > & | operator= (const WeightedSample< T > &my_sample) |
| Operator =. | |
| WeightedSample< T > & | operator= (const Sample< T > &my_sample) |
| Turn sample into weighted one (weight = 1) | |
| 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. | |
Protected Attributes | |
| double | Weight |
| The weight. | |
| T | Value |
| The Sample Value. | |
Friends | |
| template<typename S > | |
| ostream & | operator<< (ostream &stream, WeightedSample< S > &mws) |
| Print a weighted sample. | |
Template Class representing a sample of a continuous or discrete pdf, together with a weight denoting the relative importance of that sample. Inheritance is virtual (only important for a particular class hybridweightedsample (see the rob/actsens/cubeincorner CVS tree)
Definition at line 48 of file weightedsample.h.
| WeightedSample | ( | int | dimension = 0 | ) |
Constructor.
| dimension | of the ColumnVector for the continuous samples, number of discrete states for the discrete case |
Definition at line 93 of file weightedsample.h.
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virtual |
Destructor.
Definition at line 96 of file weightedsample.h.
| WeightedSample | ( | const WeightedSample< T > & | my_weighted_sample | ) |
Copy constructor.
Definition at line 98 of file weightedsample.h.
References WeightedSample< T >::Weight.
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inherited |
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inherited |
| WeightedSample< T > & operator= | ( | const Sample< T > & | my_sample | ) |
Turn sample into weighted one (weight = 1)
Definition at line 136 of file weightedsample.h.
| WeightedSample< T > & operator= | ( | const WeightedSample< T > & | my_sample | ) |
Operator =.
Definition at line 124 of file weightedsample.h.
References WeightedSample< T >::WeightGet().
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inherited |
Get the value of the Sample.
Definition at line 132 of file sample.h.
Referenced by Sample< T >::operator=().
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inherited |
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inherited |
| double WeightGet | ( | ) | const |
Get the weight.
Definition at line 104 of file weightedsample.h.
Referenced by WeightedSample< T >::operator=().
| void WeightSet | ( | double | weight | ) |
Set the weight.
| weight | the weight :-) |
Definition at line 109 of file weightedsample.h.
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friend |
Print a weighted sample.
| stream | the stream to be returned |
| mws | the weighted sample to be printed |
Definition at line 116 of file weightedsample.h.
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protectedinherited |
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protected |
The weight.
Definition at line 52 of file weightedsample.h.
Referenced by WeightedSample< T >::WeightedSample().