Included H holdout

src/code-examples/exampleERAHHoldout.m

@@ -0,0 +1,27 @@
+% Load data
+ERAData = table2array(readtable('../../exampledata/ERA.csv'));
+
+% Check the first 20 rows
+ERAData(1:20,:)
+
+% Extract targets
+targets = ERAData(:,end);
+
+% Generate h holdout partitions
+h=30;
+
+% Prepare filesystem
+nameDataset = 'era';
+rootDir = fullfile('..', '..', 'exampledata', '30-holdout', nameDataset);
+mkdir(rootDir);
+rootDir = fullfile(rootDir,'matlab');
+mkdir(rootDir);
+
+% For each partitions
+for ff = 1:h
+    CVO = cvpartition(targets,'HoldOut',0.25); % 25% of patterns for the test set
+    trIdx = CVO.training(1);
+    teIdx = CVO.test(1);
+    dlmwrite(fullfile(rootDir,sprintf('train-%s.%d',nameDataset,ff-1)),ERAData(trIdx,:),' ');
+    dlmwrite(fullfile(rootDir,sprintf('test-%s.%d',nameDataset,ff-1)),ERAData(teIdx,:),' ');
+end