final_run.py

def run_lr(res,data):
    # Note: data should be given in pandas format, as shwon below:
    '''
    Brain_weight	Body_weight
    62.00	         1320.0
    55.50	         175.0
    35.00	         56.0
    52.16	         440.0
    0.28	         1.9
    '''
    
    points=data
    learning_rate = 0.000001
    initial_b = 0 # initial y-intercept guess
    initial_m = 0 # initial slope guess
    num_iterations = 1000
    print ("Starting gradient descent at b = {0}, m = {1}, error = {2}".format(initial_b, initial_m, compute_error_for_line_given_points(initial_b, initial_m, array(points))))
    print ("Running...")
    [b, m] = gradient_descent_runner(points, initial_b, initial_m, learning_rate, num_iterations)
    print ("After {0} iterations b = {1}, m = {2}, error = {3}".format(num_iterations, b, m, compute_error_for_line_given_points(b, m, array(points))))
    print(b)
    print(m)
    res.append(b)
    res.append(m)