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## 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.

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