cc.mallet.grmm.inference
Interface Sampler

All Known Implementing Classes:

ExactSampler, GibbsSampler

public interface Sampler

Interface for methods from sampling the distribution given by a graphical model. Created: Mar 28, 2005

Version:

$Id: Sampler.java,v 1.1 2007/10/22 21:37:49 mccallum Exp $

Author:

Method Summary

Assignment	sample(FactorGraph mdl, int N) Samples from the distribution of a given undirected model.
void	setRandom(Randoms r) Sets the random seed used by this sampler.

Method Detail

sample

Assignment sample(FactorGraph mdl,
                  int N)

Samples from the distribution of a given undirected model.

Parameters:

mdl - Model to sample from

N - Number of samples to generate

Returns:

A list of assignments to the model.

setRandom

void setRandom(Randoms r)

Sets the random seed used by this sampler.

Parameters:

r - Random object to be used by this sampler.