keel.Algorithms.Neural_Networks.NNEP_Regr.problem.regression

Interface IRegressor

All Known Implementing Classes:

MSEOptimizablePUNeuralNetRegressor, MSEOptimizableSigmNeuralNetRegressor, NeuralNetRegressor

public interface IRegressor

Generic regressor.

Since:

JDK1.5

Version:

0.1

Author:

Written by Pedro Antonio Gutierrez Penia (University of Cordoba) 16/7/2007, Written by Aaron Ruiz Mora (University of Cordoba) 16/7/2007

Method Summary

Modifier and Type	Method and Description
double	operate(double[] inputs) Estimates output value of a observation, through its inputs values
double[]	operate(double[][] inputs) Estimates output values of a set of observations, through their inputs values

Method Detail

operate

double operate(double[] inputs)

Estimates output value of a observation, through its inputs values

Parameters:

inputs - Double array with all inputs of the observation

Returns:

double Output of the regressor for these inputs

operate

double[] operate(double[][] inputs)

Estimates output values of a set of observations, through their inputs values

Parameters:

inputs - Double matrix with all inputs of all observations

Returns:

double[] Output values of the regressor for all observation inputs