|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
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 Object s
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 Counter s. |
Distribution<E> | Immutable class for representing normalized, smoothed discrete distributions
from Counters . |
GeneralizedCounter<K> | A class for keeping double counts of List s 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 |
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. |
A set of tools for collecting, representing, and inferring with statistics. The two most useful bodies of code are for (1) representing distributions (e.g., Distribution and Counter) and (2) computing the performance of a classifier (e.g., PrecisionRecallStates and PRStatsManager).
|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |