Uses of Package
jsat.classifiers

Packages that use jsat.classifiers

Package	Description
jsat
jsat.classifiers
jsat.classifiers.bayesian
jsat.classifiers.bayesian.graphicalmodel
jsat.classifiers.boosting
jsat.classifiers.calibration
jsat.classifiers.evaluation
jsat.classifiers.knn
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.neuralnetwork
jsat.classifiers.svm
jsat.classifiers.svm.extended
jsat.classifiers.trees
jsat.clustering
jsat.clustering.dissimilarity
jsat.clustering.evaluation
jsat.clustering.evaluation.intra
jsat.clustering.hierarchical
jsat.clustering.kmeans
jsat.datatransform
jsat.datatransform.featureselection
jsat.datatransform.kernel
jsat.distributions.multivariate
jsat.io
jsat.linear
jsat.linear.distancemetrics
jsat.lossfunctions
jsat.parameters
jsat.regression
jsat.text

Classes in jsat.classifiers used by jsat

Class and Description
CategoricalData
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.classifiers

Class and 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.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
DataPointPair This class exists so that any data point can be arbitrarily paired with some value
DDAG Decision Directed Acyclic Graph (DDAG) 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.
RegressorToClassifier This meta algorithm wraps a Regressor to perform binary classification.
Rocchio
UpdateableClassifier UpdateableClassifier is an interface for one type of Online learner.

Classes in jsat.classifiers used by jsat.classifiers.bayesian

Class and 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.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
DataPointPair This class exists so that any data point can be arbitrarily paired with some value
UpdateableClassifier UpdateableClassifier is an interface for one type of Online learner.

Classes in jsat.classifiers used by jsat.classifiers.bayesian.graphicalmodel

Class and Description
CategoricalData
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.classifiers.boosting

Class and Description
CategoricalData
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
UpdateableClassifier UpdateableClassifier is an interface for one type of Online learner.

Classes in jsat.classifiers used by jsat.classifiers.calibration

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.classifiers.evaluation

Class and Description
CategoricalData
CategoricalResults This class represents the probabilities for each possible result classification.

Classes in jsat.classifiers used by jsat.classifiers.knn

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.classifiers.linear

Class and 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.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
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.

Classes in jsat.classifiers used by jsat.classifiers.linear.kernelized

Class and 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.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
UpdateableClassifier UpdateableClassifier is an interface for one type of Online learner.

Classes in jsat.classifiers used by jsat.classifiers.neuralnetwork

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.classifiers.svm

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
WarmClassifier This interface is meant for models that support efficient warm starting from the solution of a previous model.

Classes in jsat.classifiers used by jsat.classifiers.svm.extended

Class and 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.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
UpdateableClassifier UpdateableClassifier is an interface for one type of Online learner.

Classes in jsat.classifiers used by jsat.classifiers.trees

Class and Description
CategoricalData
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
DataPointPair This class exists so that any data point can be arbitrarily paired with some value

Classes in jsat.classifiers used by jsat.clustering

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.clustering.dissimilarity

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.clustering.evaluation

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.clustering.evaluation.intra

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.clustering.hierarchical

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.clustering.kmeans

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.datatransform

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.datatransform.featureselection

Class and Description
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.datatransform.kernel

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.distributions.multivariate

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.io

Class and Description
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.

Classes in jsat.classifiers used by jsat.linear

Class and Description
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.linear.distancemetrics

Class and Description
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.

Classes in jsat.classifiers used by jsat.lossfunctions

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.

Classes in jsat.classifiers used by jsat.parameters

Class and Description
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.

Classes in jsat.classifiers used by jsat.regression

Class and Description
CategoricalData
CategoricalResults This class represents the probabilities for each possible result classification.
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.
Classifier A Classifier is used to predict the target class of new unseen data points.
DataPoint This is the general class object for representing a singular data point in a data set.
DataPointPair This class exists so that any data point can be arbitrarily paired with some value

Classes in jsat.classifiers used by jsat.text

Class and Description
CategoricalData
ClassificationDataSet ClassificationDataSet is a data set meant specifically for classification problems.