update

lazyprogrammer · lazyprogrammer · commit a2fd2e20381a · 2017-11-02T22:39:59.000-04:00
diff --git a/logistic_regression_class/logistic2.py b/logistic_regression_class/logistic2.py
@@ -41,7 +41,7 @@ def sigmoid(z):
 # calculate the cross-entropy error
 def cross_entropy(T, Y):
     E = 0
-    for i in xrange(N):
+    for i in xrange(len(T)):
         if T[i] == 1:
             E -= np.log(Y[i])
         else:
diff --git a/logistic_regression_class/logistic3.py b/logistic_regression_class/logistic3.py
@@ -42,7 +42,7 @@ def sigmoid(z):
 # calculate the cross-entropy error
 def cross_entropy(T, Y):
     E = 0
-    for i in xrange(N):
+    for i in xrange(len(T)):
         if T[i] == 1:
             E -= np.log(Y[i])
         else:
diff --git a/logistic_regression_class/logistic4.py b/logistic_regression_class/logistic4.py
@@ -42,7 +42,7 @@ def sigmoid(z):
 # calculate the cross-entropy error
 def cross_entropy(T, Y):
     E = 0
-    for i in xrange(N):
+    for i in xrange(len(T)):
         if T[i] == 1:
             E -= np.log(Y[i])
         else:
diff --git a/logistic_regression_class/logistic_xor.py b/logistic_regression_class/logistic_xor.py
@@ -42,7 +42,7 @@ def sigmoid(z):
 # calculate the cross-entropy error
 def cross_entropy(T, Y):
     E = 0
-    for i in xrange(N):
+    for i in xrange(len(T)):
         if T[i] == 1:
             E -= np.log(Y[i])
         else:
