Package jsat.classifiers

Interface Summary

Interface	Description
Classifier	A Classifier is used to predict the target class of new unseen data points.
UpdateableClassifier	UpdateableClassifier is an interface for one type of Online learner.
WarmClassifier	This interface is meant for models that support efficient warm starting from the solution of a previous model.

Class Summary

Class	Description
BaseUpdateableClassifier	A base implementation of the UpdateableClassifier.
CategoricalData
CategoricalResults	This class represents the probabilities for each possible result classification.
ClassificationDataSet	ClassificationDataSet is a data set meant specifically for classification problems.
ClassificationModelEvaluation	Provides a mechanism to quickly perform an evaluation of a model on a data set.
DataPoint	This is the general class object for representing a singular data point in a data set.
DataPointPair<P>	This class exists so that any data point can be arbitrarily paired with some value
DDAG	Decision Directed Acyclic Graph (DDAG) classifier.
MajorityVote	The Majority Vote classifier is a simple ensemble classifier.
MultinomialLogisticRegression	Multinomial Logistic Regression is an extension of LogisticRegression for classification when there are more then two target classes.
OneVSAll	This classifier turns any classifier, specifically binary classifiers, into multi-class classifiers.
OneVSOne	A One VS One classifier extends binary decision classifiers into multi-class decision classifiers.
PriorClassifier	A Naive classifier that simply returns the prior probabilities as the classification decision.
RegressorToClassifier	This meta algorithm wraps a Regressor to perform binary classification.
Rocchio