Class: cvpartition
Training indices for cross-validation
idx = training(c)
idx = training(c,i)
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.
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