jsat.regression

Interface Regressor

All Superinterfaces:

Cloneable, Serializable

All Known Subinterfaces:

UpdateableRegressor, WarmRegressor

All Known Implementing Classes:

AveragedRegressor, BackPropagationNet, Bagging, BaseUpdateableRegressor, DataModelPipeline, DCD, DCDs, DecisionStump, DecisionTree, ERTrees, ExtraTree, GridSearch, KernelRidgeRegression, KernelRLS, KernelSGD, LinearBatch, LinearL1SCD, LinearSGD, LogisticRegression, LSSVM, LWL, ModelSearch, MultipleLinearRegression, NadarayaWatson, NearestNeighbour, OrdinaryKriging, PassiveAggressive, PlattSMO, RandomDecisionTree, RandomForest, RandomSearch, RANSAC, RBFNet, RidgeRegression, SCD, SMIDAS, Stacking, STGD, StochasticGradientBoosting, StochasticRidgeRegression, StochasticSTLinearL1, UpdatableStacking, Wagging, WaggingNormal

public interface Regressor
extends Cloneable, Serializable

Author:

Edward Raff

Method Summary

Modifier and Type	Method and Description
Regressor	clone()
double	regress(DataPoint data)
boolean	supportsWeightedData()
void	train(RegressionDataSet dataSet)
void	train(RegressionDataSet dataSet, ExecutorService threadPool)

Method Detail

regress

double regress(DataPoint data)

train

void train(RegressionDataSet dataSet,
           ExecutorService threadPool)

train

void train(RegressionDataSet dataSet)

supportsWeightedData

boolean supportsWeightedData()

clone

Regressor clone()