Class UntrainableDistribution

  • All Implemented Interfaces:
    Serializable, Distribution, Changeable

    public class UntrainableDistribution
    extends SimpleDistribution
    A distribution which does not interact with the training framework. This class behaves in exactly the same manner as SimpleDistribution, except that it has a no-op registerWithTrainer method. It is useful for building Markov models where you wish to train only a subset of the Distributions.
    Since:
    1.3
    Author:
    Thomas Down
    See Also:
    Serialized Form