keel.Algorithms.Neural_Networks.NNEP_Clas.problem.classification

Interface IClassifier

All Known Subinterfaces:

ISoftmaxClassifier

All Known Implementing Classes:

MSEOptimizablePUNeuralNetClassifier, MSEOptimizableSigmNeuralNetClassifier, NeuralNetClassifier

public interface IClassifier

Generic classifier.

Since:

JDK1.5

Version:

0.1

Author:

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

Method Summary

Modifier and Type	Method and Description
byte[]	classify(double[] inputs) Obtain the associated class of one observation
byte[][]	classify(double[][] inputs) Obtain the associated class of a set of observations, through their inputs values

Method Detail

classify

byte[] classify(double[] inputs)

Obtain the associated class of one observation

Parameters:

inputs - Double array with all inputs of the observation

Returns:

byte [] Array indicating the class of the observation For example, {0,0,1} indicates that observation is of the third class, {0,1,0} indicates that observation is of the second class

classify

byte[][] classify(double[][] inputs)

Obtain the associated class of a set of observations, through their inputs values

Parameters:

inputs - Double matrix with all inputs of all observations

Returns:

byte[] Matrix indicating the class of the observation For example, {0,0,1} indicates that observation is of the third class, {0,1,0} indicates that observation is of the second class