| Package | Description |
|---|---|
| com.aliasi.classify |
Classes for classifying data and evaluation.
|
| com.aliasi.stats |
Classes for handling basic statical distributions and estimators.
|
| com.aliasi.test.unit.stats |
| Modifier and Type | Class and Description |
|---|---|
class |
LMClassifier<L extends LanguageModel,M extends MultivariateDistribution>
An
LMClassifier performs joint probability-based
classification of character sequences into non-overlapping
categories based on language models for each category and a
multivariate distribution over categories. |
| Modifier and Type | Class and Description |
|---|---|
class |
BernoulliConstant
A
BernoulliConstant implements a Bernoulli
distribution with a constant probability of success. |
class |
BernoulliDistribution
A
BernoulliDistribution is a multivariate distribution
with two outcomes, 0 (labeled "failure") and 1 (labeled "success"). |
class |
BernoulliEstimator
A
BernoulliEstimator provides a maximum likelihood
estimate of a Bernoulli distribution. |
class |
MultivariateConstant
A
MultivariateConstant provides a multinomial
distribution with constant probabilities and labels. |
class |
MultivariateEstimator
A
MultivariateEstimator provides a maximum likelihood
estimator of a multivariate distribution based on training samples. |
| Modifier and Type | Method and Description |
|---|---|
MultivariateDistribution |
MultinomialDistribution.basisDistribution()
Returns the multivariate distribution that forms the basis of
this multinomial distribution.
|
| Constructor and Description |
|---|
MultinomialDistribution(MultivariateDistribution distribution)
Construct a multinomial distribution based on the specified
multivariate distribution.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
MultivariateDistributionTest.Distro |
| Modifier and Type | Method and Description |
|---|---|
void |
MultivariateEstimatorTest.assertDistro(MultivariateDistribution distro) |
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