lr-guess-number.py

X = df['amount_spent'].astype('float').values
y = df['send_discount'].astype('float').values

def predict(x, w):
  return sigmoid(x * w)

def print_result(y_hat, y):
  print(f'loss: {np.round(loss(y_hat, y), 5)} predicted: {y_hat} actual: {y}')
  
y_hat = predict(x=X[0], w=.5)
print_result(y_hat, y[0])