Uses of Interface
com.aliasi.lm.LanguageModel.Dynamic

Packages that use LanguageModel.Dynamic

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.lm	Classes for character- and token-based language models.
com.aliasi.test.unit.lm

Uses of LanguageModel.Dynamic in com.aliasi.classify

Classes in com.aliasi.classify with type parameters of type LanguageModel.Dynamic

Modifier and Type	Class and Description
class	DynamicLMClassifier<L extends LanguageModel.Dynamic> A DynamicLMClassifier is a language model classifier that accepts training events of categorized character sequences.

Methods in com.aliasi.classify with parameters of type LanguageModel.Dynamic

Modifier and Type	Method and Description
void	BinaryLMClassifier.resetCategory(String category, LanguageModel.Dynamic lm, int newCount) Throws an UnsupportedOperationException.

Constructors in com.aliasi.classify with parameters of type LanguageModel.Dynamic

Constructor and Description
BinaryLMClassifier(LanguageModel.Dynamic acceptingLM, double crossEntropyThreshold) Construct a binary character sequence classifier that accepts or rejects inputs based on their cross-entropy being above or below a fixed cross-entropy threshold.
BinaryLMClassifier(LanguageModel.Dynamic acceptingLM, double crossEntropyThreshold, String acceptCategory, String rejectCategory) Construct a binary character sequence classifier that accepts or rejects inputs based on their cross-entropy being above or below a fixed cross-entropy threshold.
DynamicLMClassifier(String[] categories, L[] languageModels) Construct a dynamic language model classifier over the specified categories with specified language models per category and an overall category estimator.

Uses of LanguageModel.Dynamic in com.aliasi.lm

Classes in com.aliasi.lm that implement LanguageModel.Dynamic

Modifier and Type	Class and Description
class	NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.
class	NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process for which training, estimation, and pruning may be interleaved.
class	TokenizedLM A TokenizedLM provides a dynamic sequence language model which models token sequences with an n-gram model, and whitespace and unknown tokens with their own sequence language models.
class	UniformBoundaryLM A UniformBoundaryLM implements a uniform sequence language model with a specified number of outcomes and the same probability assigned to the end-of-stream marker.
class	UniformProcessLM A UniformLM.Sequence implements a uniform sequence language model with a specified number of outcomes and the same probability assigned to the end-of-stream marker.

Uses of LanguageModel.Dynamic in com.aliasi.test.unit.lm

Methods in com.aliasi.test.unit.lm with parameters of type LanguageModel.Dynamic

Modifier and Type	Method and Description
static Object	UniformBoundaryLMTest.compileRead(LanguageModel.Dynamic model)