20 #ifndef __CONDITIONAL_GAUSSIAN__ 21 #define __CONDITIONAL_GAUSSIAN__ 23 #include "conditionalpdf.h" 63 int method=DEFAULT,
void * args=NULL)
const;
67 mutable ColumnVector _diff;
68 mutable ColumnVector _Mu;
69 mutable Matrix _Low_triangle;
70 mutable ColumnVector _samples;
71 mutable ColumnVector _SampleValue;
77 #endif // __CONDITIONAL_GAUSSIAN__ virtual ~ConditionalGaussian()
Destructor.
virtual ConditionalGaussian * Clone() const
Clone function.
Wrapper class for ColumnVectors (Boost implementation)
Abstract Class representing conditional Pdfs P(x | ...)
ConditionalGaussian(int dim=0, int num_conditional_arguments=0)
Constructor.
virtual Probability ProbabilityGet(const MatrixWrapper::ColumnVector &input) const
Get the probability of a certain argument.
Class representing a probability (a double between 0 and 1)
Abstract Class representing all Conditional gaussians.