23 #ifndef __MLPACK_METHODS_HMM_DISTRIBUTIONS_DISCRETE_DISTRIBUTION_HPP 24 #define __MLPACK_METHODS_HMM_DISTRIBUTIONS_DISCRETE_DISTRIBUTION_HPP 29 namespace distribution {
70 probabilities(arma::ones<arma::vec>(numObservations) / numObservations)
82 double sum = accu(probabilities);
84 this->probabilities = probabilities / sum;
87 this->probabilities.set_size(probabilities.n_elem);
88 this->probabilities.fill(1 / probabilities.n_elem);
109 const size_t obs = size_t(observation[0] + 0.5);
114 Log::Debug <<
"DiscreteDistribution::Probability(): received observation " 115 << obs <<
"; observation must be in [0, " <<
probabilities.n_elem
116 <<
"] for this distribution." << std::endl;
138 void Estimate(
const arma::mat& observations);
149 void Estimate(
const arma::mat& observations,
DiscreteDistribution(const arma::vec &probabilities)
Define the discrete distribution as having the given probabilities for each observation.
Linear algebra utility functions, generally performed on matrices or vectors.
arma::vec Random() const
Return a randomly generated observation (one-dimensional vector; one observation) according to the pr...
A discrete distribution where the only observations are discrete observations.
size_t Dimensionality() const
Get the dimensionality of the distribution.
double Probability(const arma::vec &observation) const
Return the probability of the given observation.
std::string ToString() const
DiscreteDistribution()
Default constructor, which creates a distribution that has no observations.
arma::vec & Probabilities()
Modify the vector of probabilities.
static util::NullOutStream Debug
Dumps debug output into the bit nether regions.
void Estimate(const arma::mat &observations)
Estimate the probability distribution directly from the given observations.
const arma::vec & Probabilities() const
Return the vector of probabilities.
DiscreteDistribution(const size_t numObservations)
Define the discrete distribution as having numObservations possible observations. ...