Uses of Package
jsat.regression

Packages that use jsat.regression

Package	Description
jsat
jsat.classifiers
jsat.classifiers.boosting
jsat.classifiers.knn
jsat.classifiers.linear
jsat.classifiers.linear.kernelized
jsat.classifiers.neuralnetwork
jsat.classifiers.svm
jsat.classifiers.trees
jsat.datatransform
jsat.datatransform.featureselection
jsat.io
jsat.linear.distancemetrics
jsat.parameters
jsat.regression

Classes in jsat.regression used by jsat

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.

Classes in jsat.regression used by jsat.classifiers

Class and Description
Regressor

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor
UpdateableRegressor UpdateableRegressor is an interface for one type of Online learner.

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor
UpdateableRegressor UpdateableRegressor is an interface for one type of Online learner.
WarmRegressor This interface is meant for models that support efficient warm starting from the solution of a previous model.

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor
UpdateableRegressor UpdateableRegressor is an interface for one type of Online learner.

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor
WarmRegressor This interface is meant for models that support efficient warm starting from the solution of a previous model.

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

Classes in jsat.regression used by jsat.datatransform

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

Classes in jsat.regression used by jsat.io

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.

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

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.

Classes in jsat.regression used by jsat.parameters

Class and Description
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor

Classes in jsat.regression used by jsat.regression

Class and Description
AveragedRegressor Creates a regressor that averages the results of several voting regression methods.
KernelRidgeRegression A kernelized implementation of Ridge Regression.
KernelRLS Provides an implementation of the Kernel Recursive Least Squares algorithm.
LogisticRegression Logistic regression is a common method used to fit a probability between binary outputs.
MultipleLinearRegression
NadarayaWatson The Nadaraya-Watson regressor uses the Kernel Density Estimator to perform regression on a data set.
OrdinaryKriging An implementation of Ordinary Kriging with support for a uniform error measurement.
OrdinaryKriging.Variogram
RANSAC RANSAC is a randomized meta algorithm that is useful for fitting a model to a data set that has a large amount of outliers that do not represent the true distribution well.
RegressionDataSet A RegressionDataSet is a data set specifically for the task of performing regression.
Regressor
RidgeRegression An implementation of Ridge Regression that finds the exact solution.
RidgeRegression.SolverMode Sets which solver to use
StochasticGradientBoosting An implementation of Stochastic Gradient Boosting (SGB) for the Squared Error loss.
StochasticRidgeRegression A Stochastic implementation of Ridge Regression.
UpdateableRegressor UpdateableRegressor is an interface for one type of Online learner.