See: Description
| Interface | Description |
|---|---|
| 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 | Description |
|---|---|
| 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 a
Counter. |
| 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.
|
Distribution and Counter) and (2) computing the performance of a classifier
(e.g., edu.stanford.nlp.stats.PrecisionRecallStats).