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Infinite loop was fixed. #1105

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merged 4 commits into from
Aug 7, 2019
Merged

Infinite loop was fixed. #1105

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67ddf3a
Infinite loop was fixed.
AmritK10 Aug 6, 2019
94e585c
Update logistic_regression.py
poyea Aug 7, 2019
2093ea6
Update logistic_regression.py
poyea Aug 7, 2019
a9acf07
correct spacing according to PEP8
AmritK10 Aug 7, 2019
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10 changes: 5 additions & 5 deletions machine_learning/logistic_regression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,12 +48,12 @@ def logistic_reg(
z = np.dot(X, theta)
h = sigmoid_function(z)
gradient = np.dot(X.T, h - y) / y.size
theta = theta - alpha * gradient #updating the weights
theta = theta - alpha * gradient # updating the weights
z = np.dot(X, theta)
h = sigmoid_function(z)
J = cost_function(h, y)
if iterations % 100 == 0:
print(f'loss: {J} \t') #printing the loss after every 100 iterations
print(f'loss: {J} \t') # printing the loss after every 100 iterations
return theta

# In[68]:
Expand All @@ -65,11 +65,11 @@ def logistic_reg(

alpha = 0.1
theta = logistic_reg(alpha,X,y,max_iterations=70000)
print("theta: ",theta) #printing the theta i.e our weights vecto
print("theta: ",theta) # printing the theta i.e our weights vecto


def predict_prob(X):
return sigmoid_function(np.dot(X, theta)) # predicting the value of probability from the logistic regression algorithm
return sigmoid_function(np.dot(X, theta)) # predicting the value of probability from the logistic regression algorithm
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plt.figure(figsize=(10, 6))
Expand All @@ -91,4 +91,4 @@ def predict_prob(X):
)

plt.legend()
plt.show()
plt.show()