Package com.aliasi.classify

Classes for classifying data and evaluation.

See:
Description

Interface Summary

Classifier<E,C extends Classification>

The Classifier interface specifies a single method that returns the classification of an input object.

Class Summary

BernoulliClassifier<E>	A BernoulliClassifier provides a feature-based classifier where feature values are reduced to booleans based on a specified threshold.
BinaryLMClassifier	A BinaryLMClassifier is a boolean dynamic language model classifier based on a single language model and cross-entropy threshold.
Classification	A Classification provides a first-best category.
ClassifierEvaluator<E,C extends Classification>	A ClassifierEvaluator provides an evaluation harness for classifiers.
ConditionalClassification	A ConditionalClassification is a scored classification which estimates conditional probabilities of categories given an input.
ConfusionMatrix	An instance of ConfusionMatrix represents a quantitative comparison between two classifiers over a fixed set of categories on a number of test cases.
DynamicLMClassifier<L extends LanguageModel.Dynamic>	A DynamicLMClassifier is a language model classifier that accepts training events of categorized character sequences.
JointClassification	A JointClassification is a conditional classification derived from a joint probability assignment to each category and the object being classified.
KnnClassifier<E>	A KnnClassifier implements k-nearest-neighor classification based on feature extraction and a vector proximity or distance.
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.
LogisticRegressionClassifier<E>	A LogisticRegressionClassifier provides conditional probability classifications of input objects using an underlying logistic regression model and feature extractor.
NaiveBayesClassifier	A NaiveBayesClassifier provides a trainable naive Bayes text classifier, with tokens as features.
OnlineLogisticRegressionClassifier<E>
PerceptronClassifier<E>	A PerceptronClassifier implements a binary classifier based on an averaged kernel-based perceptron.
PrecisionRecallEvaluation	A PrecisionRecallEvaluation collects and reports a suite of descriptive statistics for binary classification tasks.
RankedClassification	A RankedClassification provides a classification with an ordered n-best list of category results.
ScoredClassification	A ScoredClassification is a ranked classification where each category also has a score that determines the ranking.
ScoredPrecisionRecallEvaluation	A ScoredPrecisionRecallEvaluation provides an evaluation of possible precision-recall operating points and other summary statistics The single method ScoredPrecisionRecallEvaluation.addCase(boolean,double) is used to populate the evaluation, with the first argument representing whether the response was correct and the second the score that was assigned.
TfIdfClassifierTrainer<E>	A TfIdfClassifierTrainer provides a framework for training discriminative classifiers based on term-frequency (TF) and inverse document frequency (IDF) weighting of features.
XValidatingClassificationCorpus<E>	A XValidatingClassificationCorpus holds a set of inputs and classification results to be used as a corpus with built-in cross-validation support.

Package com.aliasi.classify Description

Classes for classifying data and evaluation. Throughout, we use the term "category" rather than "class" or "type", to avoid confusion with the object-oriented notion of class in Java.