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.
Scorer<L>
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.
AccuracyStats<L>	Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
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.
MultiClassAccuracyStats<L>
MultiClassChunkEvalStats	Calculates phrase based precision and recall (similar to conlleval) Handles various encodings such as IO, IOB, IOE, BILOU, SBEIO, [] Usage: java edu.stanford.nlp.stats.MultiClassChunkEvalStats [options] < filename -r - Do raw token based evaluation -d - Specifies delimiter to use (instead of tab) -b - Boundary token (default is -X- ) -t - Default tag to use if tag is not prefixed (i.e.
MultiClassPrecisionRecallExtendedStats<L>	Extension of MultiClassPrecisionRecallStats that handles
MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
MultiClassPrecisionRecallExtendedStats.StringStringConverter
MultiClassPrecisionRecallStats<L>
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.