See: Description
Interface | Description |
---|---|
ConjugatePrior<T extends ProbabilityDistribution<E>,E> |
An interface for classes which are probability distributions over other probability distributions.
|
Counter<E> |
An Object to double map used for keeping weights or counts for objects.
|
DataSeries |
A
DataSeries represents a named sequence of double
values, and optionally refers to another DataSeries as its
domain. |
EquivalenceClasser<IN,OUT> |
A strategy-type interface for specifying a function from
Object s
to their equivalence classes. |
EquivalenceClassEval.EqualityChecker<T> |
A strategy-type interface for specifying an equality criterion for pairs of
Object s. |
EquivalenceClassEval.Factory<IN,OUT> | |
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 | Description |
---|---|
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 a
Counter . |
DataSeries.AbstractDataSeries | |
DataSeries.ArrayDataSeries | |
DataSeries.AverageDataSeries | |
DataSeries.FunctionDataSeries | |
DataSeries.ListDataSeries | |
Dirichlet<E> |
simple dirichlet distribution.
|
DirichletProcess<E> | |
Distribution<E> |
Immutable class for representing normalized, smoothed discrete distributions
from
Counters . |
Distributions |
Static methods for operating on
Distributions s. |
EquivalenceClassEval<IN,OUT> |
A class for calculating precision and recall statistics based on
comparisons between two
Collection s. |
Gamma |
Represents a Gamma distribution.
|
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 delimiter - Specifies delimiter to use (instead of tab) -b boundary - Boundary token (default is -X- ) -t defaultTag - Default tag to use if tag is not prefixed (i.e. |
MultiClassPrecisionRecallExtendedStats<L> |
Extension of MultiClassPrecisionRecallStats that also computes accuracy
|
MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats | |
MultiClassPrecisionRecallExtendedStats.StringStringConverter | |
MultiClassPrecisionRecallStats<L> | |
Multinomial<E> |
a multinomial distribution.
|
PrecisionRecallStats |
Utility class for aggregating counts of true positives, false positives, and
false negatives and computing precision/recall/F1 stats.
|
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.
|
Distribution
and Counter
) and (2) computing the performance of a classifier
(e.g., PrecisionRecallStats
).