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starhopp3r/parttwo.py

Created September 26, 2017 02:08
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parttwo.py
def run():
points = genfromtxt('data.csv', delimiter=',')
# Hyperparameter
learning_rate = 0.0001
# Initial values: y = mx + c
initial_c = 0
initial_m = 0
# Iterations
num_iterations = 1000
# Optimal values for m and c
[c, m] = gradient_descent_runner(points, initial_c, initial_m, learning_rate, num_iterations)
# Results
error = compute_error_for_points(c, m, points)
print("Optimized after {0} iterations: m = {1}, c = {2} and error = {3}".format(num_iterations, m, c, error))
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