divideblock

Divide targets into three sets using blocks of indices

Syntax

[trainInd,valInd,testInd] = divideblock(Q,trainRatio,valRatio,testRatio)

Description

[trainInd,valInd,testInd] = divideblock(Q,trainRatio,valRatio,testRatio) separates targets into three sets: training, validation, and testing. It takes the following inputs:

`Q`	Number of targets to divide up.
`trainRatio`	Ratio of targets for training. Default = `0.7`.
`valRatio`	Ratio of targets for validation. Default = `0.15`.
`testRatio`	Ratio of targets for testing. Default = `0.15`.

and returns

`trainInd`	Training indices
`valInd`	Validation indices
`testInd`	Test indices

Examples

[trainInd,valInd,testInd] = divideblock(3000,0.6,0.2,0.2);

Network Use

Here are the network properties that define which data division function to use, what its parameters are, and what aspects of targets are divided up, when train is called.

net.divideFcn
net.divideParam
net.divideMode

Version History

Introduced in R2008a