Learn more about Statistics Toolbox

training - Class: cvpartition

Training indices for cross-validation

Syntax

idx = training(c)
idx = training(c,i)

Description

idx = training(c) returns the logical vector idx of training indices for an object c of the cvpartition class of type 'holdout' or 'resubstitution'.

If c.Type is 'holdout', idx specifies the observations in the training set.

If c.Type is 'resubstitution', idx specifies all observations.

idx = training(c,i) returns the logical vector idx of training indices for repetition i of an object c of the cvpartition class of type 'kfold' or 'leaveout'.

If c.Type is 'kfold', idx specifies the observations in the training set in fold i.

If c.Type is 'leaveout', idx specifies the observations left in at repetition i.

Examples

Identify the training indices in the first fold of a partition of 10 observations for 3-fold cross-validation:

c = cvpartition(10,'kfold',3)
c = 
K-fold cross validation partition
             N: 10
   NumTestSets: 3
     TrainSize: 7  6  7
      TestSize: 3  4  3

training(c,1)
ans =
     0
     0
     1
     1
     1
     1
     1
     1
     0
     1

See Also

cvpartition, test

tpdf

TrainSize property (cvpartition)

© 1984-2009- The MathWorks, Inc.    -   Site Help   -   Patents   -   Trademarks   -   Privacy Policy   -   Preventing Piracy   -   RSS