Package edu.stanford.nlp.stats

Interface Summary

Counter<E>	An Object to double map used for keeping weights or counts for objects.
EquivalenceClasser<IN,OUT>	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.
TwoDimensionalCounterInterface<K1,K2>	Interface representing a mapping between pairs of typed objects and double values.

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.
GeneralizedCounter<K>	A class for keeping double counts of Lists of a prespecified length.
IntCounter<E>	A specialized kind of hash table (or map) for storing numeric counts for objects.
SimpleGoodTuring	Simple Good-Turing smoothing, based on code from Sampson, available at: ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c See also http://www.grsampson.net/RGoodTur.html
TwoDimensionalCounter<K1,K2>	A class representing a mapping between pairs of typed objects and double values.
TwoDimensionalIntCounter<K1,K2>	A class representing a mapping between pairs of typed objects and int values.