Uses of Interface
com.aliasi.classify.JointClassifier

Packages that use JointClassifier

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.

Uses of JointClassifier in com.aliasi.classify

Classes in com.aliasi.classify that implement JointClassifier

Modifier and Type	Class and Description
class	BernoulliClassifier<E> A BernoulliClassifier provides a feature-based classifier where feature values are reduced to booleans based on a specified threshold.
class	BinaryLMClassifier A BinaryLMClassifier is a boolean dynamic language model classifier for use when there are two categories, but training data is only available for one of the categories.
class	DynamicLMClassifier<L extends LanguageModel.Dynamic> A DynamicLMClassifier is a language model classifier that accepts training events of categorized character sequences.
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.
class	NaiveBayesClassifier A NaiveBayesClassifier provides a trainable naive Bayes text classifier, with tokens as features.
class	TradNaiveBayesClassifier A TradNaiveBayesClassifier implements a traditional token-based approach to naive Bayes text classification.

Methods in com.aliasi.classify that return JointClassifier

Modifier and Type	Method and Description
JointClassifier<E>	JointClassifierEvaluator.classifier() Return the classifier being evaluated.

Methods in com.aliasi.classify with parameters of type JointClassifier

Modifier and Type	Method and Description
void	JointClassifierEvaluator.setClassifier(JointClassifier<E> classifier) Set the classifier being evaluated to the specified value.

Constructors in com.aliasi.classify with parameters of type JointClassifier

Constructor and Description
JointClassifierEvaluator(JointClassifier<E> classifier, String[] categories, boolean storeInputs) Construct a scored classifier evaluator with the specified classifier, categories and flag indicating whether or not to store inputs.