Bug Fixes for LinearLearner (aimacode#408)

* Bug fixing

* Spacing

Author: antmarakis

learning.py

@@ -35,6 +35,7 @@ def manhattan_distance(predictions, targets):
 def mean_boolean_error(predictions, targets):
     return mean(int(p != t) for p, t in zip(predictions, targets))
 
+
 def hamming_distance(predictions, targets):
     return sum(p != t for p, t in zip(predictions, targets))
 
@@ -642,10 +643,10 @@ def LinearLearner(dataset, learning_rate=0.01, epochs=100):
 
     # Add dummy
     ones = [1 for _ in range(len(examples))]
-    X_col = ones + X_col
+    X_col = [ones] + X_col
 
     # Initialize random weigts
-    w = [random.randrange(-0.5, 0.5) for _ in range(len(idx_i) + 1)]
+    w = [random.uniform(-0.5, 0.5) for _ in range(len(idx_i) + 1)]
 
     for epoch in range(epochs):
         err = []