still buggy math optimizer on logisticregressionN

examples/logistic_regression.py

@@ -79,6 +79,25 @@ class LogisticRegression2(module.FancyModule):
 
 
 if __name__ == '__main__':
+    if 1:
+        lrc = LogisticRegressionN()
+
+        #lr = lrc.make(10, 2, mode='FAST_RUN')
+        lr = lrc.make(10, 2, mode=theano.Mode('c|py', 'merge')) #'FAST_RUN')
+
+        data_x = N.random.randn(5, 10)
+        data_y = (N.random.randn(5) > 0)
+
+        for i in xrange(10000):
+            xe = lr.update(data_x, data_y)
+            if i % 100 == 0:
+                print i, xe
+
+        print
+        print 'TRAINED MODEL:'
+        print lr
+
+    if 0:
         lrc = LogisticRegression2()
 
         lr = lrc.make(10, mode=theano.Mode('c|py', 'merge')) #'FAST_RUN')