# HG changeset patch
# User Yoshua Bengio <bengioy@iro.umontreal.ca>
# Date 1213727574 14400
# Node ID 4efb503fd0da8fb11e51670228bb05f8f8f209aa
# Parent  aa8aff6abbf7aa2dde0ed711736c368f8901ef17
Added test for dataset/RenamedFieldsDataSet

diff -r aa8aff6abbf7 -r 4efb503fd0da _test_dataset.py
--- a/_test_dataset.py	Mon Jun 16 17:26:51 2008 -0400
+++ b/_test_dataset.py	Tue Jun 17 14:32:54 2008 -0400
@@ -515,6 +515,15 @@
 
         del a, ds
 
+    def test_RenamedFieldsDataSet(self):
+        a = numpy.random.rand(10,4)
+        ds = ArrayDataSet(a,Example(['x','y','z','w'],[slice(3),3,[0,2],0]))
+        ds = FieldsSubsetDataSet(ds,['x','y','z'],['x1','y1','z1'])
+
+        test_all(a,ds)
+
+        del a, ds
+
     def test_MinibatchDataSet(self):
         raise NotImplementedError()
     def test_HStackedDataSet(self):
diff -r aa8aff6abbf7 -r 4efb503fd0da statscollector.py
--- a/statscollector.py	Mon Jun 16 17:26:51 2008 -0400
+++ b/statscollector.py	Tue Jun 17 14:32:54 2008 -0400
@@ -1,7 +1,13 @@
 
 # Here is how I see stats collectors:
 
-#    def my_stats((residue,nll),(regularizer)):
+def my_stats(graph):
+    graph.mse=examplewise_mean(square_norm(graph.residue))
+    graph.training_loss=graph.regularizer+examplewise_sum(graph.nll)
+    return [graph.mse,graph.training_loss]
+    
+
+#    def my_stats(residue,nll,regularizer):
 #            mse=examplewise_mean(square_norm(residue))
 #            training_loss=regularizer+examplewise_sum(nll)
 #            set_names(locals())