CROSSVAL |
Partitions data for cross-validation.
Synopsis:
[itrn,itst] = crossval(num_data,num_folds)
Description:
This function randomly partitions data into the training
and testing parts. The number of partitionings is determined
by the num_folds. If num_folds==1 then makes only one random
partitioning of data into training and testing in ratio 50:50.
Input:
num_data [1x1] number of data.
num_folds [1x1] number of folders.
Output:
itrn{i} Indices of training data of i-th folder.
itst{i} Indices of testing data i-th folder.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
19-aug-2004, VF, comments repared
17-may-2004, VF
21-Jan-2003, VF
14-Jan-2003, VF
7-jan-2003, VF, created