Uses of Interface
com.aliasi.classify.BaseClassifier

Packages that use BaseClassifier

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

Uses of BaseClassifier in com.aliasi.classify

Subinterfaces of BaseClassifier in com.aliasi.classify

Modifier and Type	Interface and Description
interface	ConditionalClassifier<E> The ConditionalClassifier interface specifies a single method for n-best classification with conditional category probabilities.
interface	JointClassifier<E> The JointClassifier interface specifies a single method for n-best classification with joint input and category probabilities.
interface	RankedClassifier<E> The RankedClassifier interface specifies a single classification method that returns n-best classifications of inputs.
interface	ScoredClassifier<E> The ScoredClassifier interface specifies a single method for n-best scored classification.

Classes in com.aliasi.classify that implement BaseClassifier

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	BigVectorClassifier A BigVectorClassifier provides an efficient linear classifier implementation for large numbers of categories.
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	KnnClassifier<E> A KnnClassifier implements k-nearest-neighor classification based on feature extraction and a vector proximity or distance.
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	LogisticRegressionClassifier<E> A LogisticRegressionClassifier provides conditional probability classifications of input objects using an underlying logistic regression model and feature extractor.
class	NaiveBayesClassifier A NaiveBayesClassifier provides a trainable naive Bayes text classifier, with tokens as features.
class	PerceptronClassifier<E> A PerceptronClassifier implements a binary classifier based on an averaged kernel-based perceptron.
class	TradNaiveBayesClassifier A TradNaiveBayesClassifier implements a traditional token-based approach to naive Bayes text classification.

Methods in com.aliasi.classify that return BaseClassifier

Modifier and Type	Method and Description
BaseClassifier<E>	BaseClassifierEvaluator.classifier() Returns the classifier for this evaluator.

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

Modifier and Type	Method and Description
void	BaseClassifierEvaluator.setClassifier(BaseClassifier<E> classifier) Set the classfier for this evaluator to the specified value.

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

Constructor and Description
BaseClassifierEvaluator(BaseClassifier<E> classifier, String[] categories, boolean storeInputs) Construct a classifier evaluator for the specified classifier that records results for the specified set of categories, storing cases or not based on the specified flag.