diff --git a/learning.py b/learning.py
index 0894b2190..5db41efa5 100644
--- a/learning.py
+++ b/learning.py
@@ -647,15 +647,14 @@ def Linearlearner(dataset, learning_rate=0.01, epochs=100):
err = []
# Pass over all examples
for example in examples:
- x = [example[i] for i in range(idx_i)]
- x = [1] + x
+ x = [1] + example
y = dotproduct(w, x)
t = example[idx_t]
err.append(t - y)
# update weights
for i in range(len(w)):
- w[i] = w[i] - dotproduct(err, X_col[i])
+ w[i] = w[i] - learning_rate * dotproduct(err, X_col[i])
def predict(example):
x = [1] + example
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