jsat

Interface SingleWeightVectorModel

All Superinterfaces:

SimpleWeightVectorModel

All Known Implementing Classes:

ALMA2, AROW, BBR, DCD, DCDs, LinearL1SCD, LogisticRegression, LogisticRegressionDCD, MultipleLinearRegression, NewGLMNET, NHERD, PassiveAggressive, Pegasos, Perceptron, ROMMA, SCD, SCW, SMIDAS, STGD, StochasticRidgeRegression, StochasticSTLinearL1

public interface SingleWeightVectorModel
extends SimpleWeightVectorModel

This interface is for binary classification and regression problems where the solution can be represented as a single weight vector.

Author:

Edward Raff

Method Summary

Modifier and Type	Method and Description
double	getBias() Returns the bias term used for the model, or 0 of the model does not support or was not trained with a bias term.
Vec	getRawWeight() Returns the only weight vector used for the model

Methods inherited from interface jsat.SimpleWeightVectorModel

getBias, getRawWeight, numWeightsVecs

Method Detail

getRawWeight

Vec getRawWeight()

Returns the only weight vector used for the model

Returns:

the only weight vector used for the model

getBias

double getBias()

Returns the bias term used for the model, or 0 of the model does not support or was not trained with a bias term.

Returns:

the bias term for the model