Adapted to new reader format

contrib/Python/cntk/examples/LogReg/logreg.py

@@ -1,11 +1,14 @@
+import os
 import sys
-sys.path.insert(0, r"F:\cntk\LanguageBindings\Python")
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..'))
 
 from cntk import *
 
 if (__name__ == "__main__"):
-    x = Input(2, var_name='x')
-    y = Input(3, var_name='y')
+    x = Input(2)
+    x.attach_uci_fast_reader("Train-3Classes.txt", 0)
+    y = Input(3)
+    x.attach_uci_fast_reader("Train-3Classes.txt", 2)
     w = LearnableParameter(3, 2)
     b = LearnableParameter(3, 1)
     t = Times(w, x)
@@ -14,18 +17,11 @@
     ec = CrossEntropyWithSoftmax(y, out)
     ec.tag = 'criterion'
 
-    reader = UCIFastReader(
-        "Train-3Classes.txt", "y", "1", "2", "3", "SimpleMapping-3Classes.txt")
-    reader.add_input('x', 0, 2)
-    reader.add_input('y', 2, 1)
-
     my_sgd = SGD(
         epoch_size=0, minibatch_size=25, learning_ratesPerMB=0.1, max_epochs=3)
 
-    with Context('demo', optimizer=my_sgd, root_node= ec, clean_up=False) as ctx:
-        input_map = {x: (reader, (0, 2)), y: (reader, (2, 1))}
-        ctx.train(reader)
+    with Context('demo', optimizer=my_sgd, root_node=ec, clean_up=False) as ctx:
+        ctx.train(None)
 
-        #import ipdb;ipdb.set_trace()
-        result = ctx.eval(out, input_map)
+        result = ctx.eval(out)
         print(result[:3])