This is an abstract class representing a generative probabilistic model. More...
#include <ProbabilisticModel.hpp>
Inheritance diagram for tops::ProbabilisticModel:
Public Member Functions | |
| virtual double | evaluate (const Sequence &s, unsigned int begin, unsigned int end) const |
| Calculates the sequence likelihood given this model. | |
| virtual double | evaluatePosition (const Sequence &s, unsigned int i) const |
| Calculates the probability of Pr(Si = s[i] | s[i-1],...,s[0]) | |
| virtual double | evaluatePosition (const Sequence &s, int i, int t) const |
| Calculates the probability of Pr_t(Si = s[i] | s[i-1],...,s[0]) | |
| virtual double | choose () const |
| Choose a symbol. | |
| virtual AlphabetPtr | alphabet () const |
| Returns the alphabet. | |
| virtual void | setAlphabet (AlphabetPtr alphabet) |
| Setter for the Alphabet. | |
| virtual std::string | str () const |
| returns the string representation of the model | |
| virtual std::string | model_name () const |
| returns the model name | |
| virtual int | size () const |
| Returns the number of parameters of the model. | |
| virtual double | log_probability_of (int s) const |
| Returns the log_probability_of the number s. | |
| virtual double | probability_of (int s, double new_value) |
| Set the probability value of the number s. | |
| virtual void | trainBaumWelch (SequenceList &training_set, int maxiterations, double diff) |
| Train baum Welch. | |
Detailed Description
This is an abstract class representing a generative probabilistic model.
Definition at line 52 of file ProbabilisticModel.hpp.
The documentation for this class was generated from the following file:
