/usr/include/torch/Multinomial.h is in libtorch3-dev 3.1-2.1build1.
This file is owned by root:root, with mode 0o644.
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//
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#ifndef MULTINOMIAL_INC
#define MULTINOMIAL_INC
#include "Distribution.h"
namespace Torch {
/** This class can be used to model Multinomial Distributions.
They can be trained using either EM (with EMTrainer) or gradient descent
(with GMTrainer).
@author Samy Bengio (bengio@idiap.ch)
*/
class Multinomial : public Distribution
{
public:
/// number of values this multinomial can take
int n_values;
/// the prior weight given to each value. kind of smoother
real prior_weights;
/// if true then does equal initialization of the weights
bool equal_initialization;
/// the pointers to the parameters
real* log_weights;
/// the pointers to the d_parameters
real* dlog_weights;
/// accumulators for EM
real* weights_acc;
Multinomial(int n_values_);
virtual void setDataSet(DataSet* data_);
virtual void eMIterInitialize();
virtual void iterInitialize();
virtual real frameLogProbability(int t, real *inputs);
virtual void sequenceInitialize(Sequence* inputs);
virtual void eMSequenceInitialize(Sequence* inputs);
virtual void frameEMAccPosteriors(int t, real *inputs, real log_posterior);
virtual void eMUpdate();
virtual void update();
virtual void frameBackward(int t, real *f_inputs, real *beta_, real *f_outputs, real *alpha_);
virtual void frameDecision(int t, real *decision);
virtual ~Multinomial();
};
}
#endif
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