Package edu.stanford.nlp.stats

Interface Summary
Counter<E> Basic Object to double map.
EquivalenceClasser<T> A strategy-type interface for specifying a function from Objects to their equivalence classes.
ProbabilityDistribution<E> This is an interface for probability measures, which will allow samples to be drawn and the probability of objects computed.
Sampler<T> An interace for drawing samples from the label space of an object.
 

Class Summary
AbstractCounter<E> Default implementations of all the convenience methods provided by Counter.
ClassicCounter<E> A specialized kind of hash table (or map) for storing numeric counts for objects.
Counters Static methods for operating on Counters.
Distribution<E> Immutable class for representing normalized, smoothed discrete distributions from Counters.
IntCounter<E> A specialized kind of hash table (or map) for storing numeric counts for objects.
TwoDimensionalCounter<K1,K2> A class representing a mapping between pairs of typed objects and double values.
 



Stanford NLP Group