def getCostIter (theta, x, y, m): cost = 0 #Fill in below there needs to be (at least one) Loop in here for i in range (m): h_i=x[i, 0] * theta[1] + theta [0] | cost += (h_i-y[i]) **2 cost = float(np. sum(cost)/(2* m)) #Stop filling in here return cost THETA = np.array([[1.87], [1.23]]) print (getCostIter (THETA, X, Y, M))

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Im using NumPY to calculate the cost with one feature using iterative method, but my final value seems to be wrong.

def getCostIter (theta, x, y, m):
cost = 0
#Fill in below there needs to be (at least one) Loop in here
for i in range (m):
h_i = x[i, 0] * theta[1] + theta[0] |
cost += (h_i-y[i]) **2
cost = float(np.sum (cost)/(2* m))
#Stop filling in here
return cost
THETA = np.array([[1.87],[1.23]])
print (getCostIter (THETA, X, Y, M))
Transcribed Image Text:def getCostIter (theta, x, y, m): cost = 0 #Fill in below there needs to be (at least one) Loop in here for i in range (m): h_i = x[i, 0] * theta[1] + theta[0] | cost += (h_i-y[i]) **2 cost = float(np.sum (cost)/(2* m)) #Stop filling in here return cost THETA = np.array([[1.87],[1.23]]) print (getCostIter (THETA, X, Y, M))
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