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| DiscreteConditionalPdf (int num_states=1, int num_conditional_arguments=1, int cond_arg_dimensions[]=NULL) |
| Constructor. More...
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| DiscreteConditionalPdf (const DiscreteConditionalPdf &pdf) |
| Copy constructor.
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virtual | ~DiscreteConditionalPdf () |
| Destructor.
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virtual DiscreteConditionalPdf * | Clone () const |
| Clone function. More...
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unsigned int | NumStatesGet () const |
| Get the number of discrete states.
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Probability | ProbabilityGet (const int &input) const |
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virtual bool | SampleFrom (Sample< int > &one_sample, const SampleMthd method, void *args) const |
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virtual bool | SampleFrom (vector< Sample< int > > &list_samples, unsigned int num_samples, const SampleMthd method, void *args) const |
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void | ProbabilitySet (const double &prob, const int &input, const std::vector< int > &condargs) const |
| Set the probability (Typical for discrete Pdf's)
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unsigned int | NumConditionalArgumentsGet () const |
| Get the Number of conditional arguments. More...
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virtual void | NumConditionalArgumentsSet (unsigned int numconditionalarguments) |
| Set the Number of conditional arguments. More...
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const std::vector< int > & | ConditionalArgumentsGet () const |
| Get the whole list of conditional arguments. More...
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virtual void | ConditionalArgumentsSet (std::vector< int > ConditionalArguments) |
| Set the whole list of conditional arguments. More...
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const int & | ConditionalArgumentGet (unsigned int n_argument) const |
| Get the n-th argument of the list. More...
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virtual void | ConditionalArgumentSet (unsigned int n_argument, const int &argument) |
| Set the n-th argument of the list. More...
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virtual bool | SampleFrom (vector< Sample< T > > &list_samples, const unsigned int num_samples, const SampleMthd method=SampleMthd::DEFAULT, void *args=NULL) const |
| Draw multiple samples from the Pdf (overloaded) More...
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virtual bool | SampleFrom (Sample< T > &one_sample, const SampleMthd method=SampleMthd::DEFAULT, void *args=NULL) const |
| Draw 1 sample from the Pdf: More...
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virtual Probability | ProbabilityGet (const T &input) const |
| Get the probability of a certain argument. More...
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unsigned int | DimensionGet () const |
| Get the dimension of the argument. More...
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virtual void | DimensionSet (unsigned int dim) |
| Set the dimension of the argument. More...
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virtual T | ExpectedValueGet () const |
| Get the expected value E[x] of the pdf. More...
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virtual MatrixWrapper::SymmetricMatrix | CovarianceGet () const |
| Get the Covariance Matrix E[(x - E[x])^2] of the Analytic pdf. More...
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Class representing all FULLY Discrete Conditional PDF's.
This class inherits only from ConditionalPdf (not from DiscretePdf, avoiding a circular class structure
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- Todo:
- Check if this is the best way to implement this.
- Note
- that the name of this class could be better chosen. Something like Discrete-DiscreteConditionalPdf would maybe be more clear (???), but quite long...
- See also
- ConditionalPdf
Definition at line 53 of file discreteconditionalpdf.h.
bool SampleFrom |
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Sample< T > & |
one_sample, |
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const SampleMthd |
method = SampleMthd::DEFAULT , |
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void * |
args = NULL |
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virtualinherited |
Draw 1 sample from the Pdf:
There's no need to create a list for only 1 sample!
- Parameters
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one_sample | sample that will contain result of sampling |
method | Sampling method to be used. Each sampling method is currently represented by an enum, eg. SampleMthd::BOXMULLER |
args | Pointer to a struct representing extra sample arguments |
- See also
- SampleFrom()
- Bug:
- Sometimes the compiler doesn't know which method to choose!
Reimplemented in DiscretePdf, Gaussian, Uniform, MCPdf< T >, and Mixture< T >.
Definition at line 194 of file pdf.h.
bool SampleFrom |
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vector< Sample< T > > & |
list_samples, |
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const unsigned int |
num_samples, |
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const SampleMthd |
method = SampleMthd::DEFAULT , |
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void * |
args = NULL |
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virtualinherited |
Draw multiple samples from the Pdf (overloaded)
- Parameters
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list_samples | list of samples that will contain result of sampling |
num_samples | Number of Samples to be drawn (iid) |
method | Sampling method to be used. Each sampling method is currently represented by an enum eg. SampleMthd::BOXMULLER |
args | Pointer to a struct representing extra sample arguments. "Sample Arguments" can be anything (the number of steps a gibbs-iterator should take, the interval width in MCMC, ... (or nothing), so it is hard to give a meaning to what exactly Sample Arguments should represent... |
- Todo:
- replace the C-call "void * args" by a more object-oriented structure: Perhaps something like virtual Sample * Sample (const int num_samples,class Sampler)
- Bug:
- Sometimes the compiler doesn't know which method to choose!
Reimplemented in DiscretePdf, Gaussian, Uniform, MCPdf< T >, and Mixture< T >.
Definition at line 179 of file pdf.h.
Referenced by MCPdf< T >::SampleFrom(), and Mixture< T >::SampleFrom().