Abstract Class representing all Conditional gaussians. More...
#include <conditionalgaussian.h>
Public Member Functions | |
| virtual ConditionalGaussian * | Clone () const |
| Clone function. More... | |
| ConditionalGaussian (int dim=0, int num_conditional_arguments=0) | |
| Constructor. More... | |
| virtual Probability | ProbabilityGet (const MatrixWrapper::ColumnVector &input) const |
| Get the probability of a certain argument. More... | |
| virtual bool | SampleFrom (Sample< MatrixWrapper::ColumnVector > &sample, int method=DEFAULT, void *args=NULL) const |
| virtual bool | SampleFrom (std::vector< Sample< MatrixWrapper::ColumnVector > > &samples, const int num_samples, int method=DEFAULT, void *args=NULL) const |
| virtual | ~ConditionalGaussian () |
| Destructor. More... | |
 Public Member Functions inherited from BFL::ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > | |
| const MatrixWrapper::ColumnVector & | ConditionalArgumentGet (unsigned int n_argument) const |
| Get the n-th argument of the list. More... | |
| virtual void | ConditionalArgumentSet (unsigned int n_argument, const MatrixWrapper::ColumnVector &argument) |
| Set the n-th argument of the list. More... | |
| const std::vector< MatrixWrapper::ColumnVector > & | ConditionalArgumentsGet () const |
| Get the whole list of conditional arguments. More... | |
| virtual void | ConditionalArgumentsSet (std::vector< MatrixWrapper::ColumnVector > ConditionalArguments) |
| Set the whole list of conditional arguments. More... | |
| ConditionalPdf (int dimension=0, unsigned int num_conditional_arguments=0) | |
| Constructor. More... | |
| unsigned int | NumConditionalArgumentsGet () const |
| Get the Number of conditional arguments. More... | |
| virtual void | NumConditionalArgumentsSet (unsigned int numconditionalarguments) |
| Set the Number of conditional arguments. More... | |
| virtual | ~ConditionalPdf () |
| Destructor. More... | |
| Public Member Functions inherited from BFL::BFL::Pdf< MatrixWrapper::ColumnVector > | |
| virtual MatrixWrapper::SymmetricMatrix | CovarianceGet () const |
| Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf. More... | |
| unsigned int | DimensionGet () const |
| Get the dimension of the argument. More... | |
| virtual void | DimensionSet (unsigned int dim) |
| Set the dimension of the argument. More... | |
| virtual MatrixWrapper::ColumnVector | ExpectedValueGet () const |
| Get the expected value E[x] of the pdf. More... | |
| Pdf (unsigned int dimension=0) | |
| Constructor. More... | |
| virtual bool | SampleFrom (vector< Sample< MatrixWrapper::ColumnVector > > &list_samples, const unsigned int num_samples, int method=DEFAULT, void *args=NULL) const |
| Draw multiple samples from the Pdf (overloaded) More... | |
| virtual bool | SampleFrom (Sample< MatrixWrapper::ColumnVector > &one_sample, int method=DEFAULT, void *args=NULL) const |
| Draw 1 sample from the Pdf: More... | |
| virtual | ~Pdf () |
| Destructor. More... | |
Protected Attributes | |
| ColumnVector | _diff |
| Matrix | _Low_triangle |
| ColumnVector | _Mu |
| ColumnVector | _samples |
| ColumnVector | _SampleValue |
Detailed Description
Abstract Class representing all Conditional gaussians.
This class inherits only from ConditionalPdf<ColumnVector, ColumnVector>.
So this class represents all Pdf's of the type
![\[ P ( A | B, C, D, ... ) \]](form_43.png)
where
![\[ \mu_A = f(B,C,D, ...) \]](form_44.png)
and
![\[ \Sigma_A = g(B,C,D, ...) \]](form_45.png)
and
![\[ A = N(\mu_A, \Sigma_A) \]](form_46.png)
f and g are not necessarily analytical functions
Definition at line 40 of file conditionalgaussian.h.
Constructor & Destructor Documentation
◆ ConditionalGaussian()
| BFL::ConditionalGaussian::ConditionalGaussian | ( | int | dim = 0, |
| int | num_conditional_arguments = 0 |
||
| ) |
Constructor.
- Parameters
-
dim Dimension of state num_conditional_arguments The number of conditional arguments.
Definition at line 28 of file conditionalgaussian.cpp.
◆ ~ConditionalGaussian()
|
virtual |
Destructor.
Definition at line 39 of file conditionalgaussian.cpp.
Member Function Documentation
◆ Clone()
|
virtual |
Clone function.
Reimplemented from BFL::ConditionalPdf< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >.
Reimplemented in BFL::LinearAnalyticConditionalGaussian.
Definition at line 42 of file conditionalgaussian.cpp.
◆ ProbabilityGet()
|
virtual |
Get the probability of a certain argument.
- Parameters
-
input T argument of the Pdf
- Returns
- the probability value of the argument
Reimplemented from BFL::BFL::Pdf< MatrixWrapper::ColumnVector >.
Definition at line 48 of file conditionalgaussian.cpp.
◆ SampleFrom() [1/2]
|
virtual |
◆ SampleFrom() [2/2]
|
virtual |
Member Data Documentation
◆ _diff
|
mutableprotected |
Definition at line 67 of file conditionalgaussian.h.
◆ _Low_triangle
|
mutableprotected |
Definition at line 69 of file conditionalgaussian.h.
◆ _Mu
|
mutableprotected |
Definition at line 68 of file conditionalgaussian.h.
◆ _samples
|
mutableprotected |
Definition at line 70 of file conditionalgaussian.h.
◆ _SampleValue
|
mutableprotected |
Definition at line 71 of file conditionalgaussian.h.
The documentation for this class was generated from the following files: