
Computer Networking: A Top-Down Approach (7th Edition)
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Author: James Kurose, Keith Ross
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Python
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![Python broadcasting. Rewrite the following code without for-loops using vectorization
and python broadcasting.
(a) Given a data matrix X and vector beta compute a vector yhat:
n = X. shape [0]
yhat = np.zeros(n)
for i in range(n):
yhat [i] = beta [0]*X[i, 0] + beta[1]*X[i,1] + beta[2]*X[i, 1]*X[i,2]
yhat
beta[0]*X[: ,0] + beta[1]*X[:,1] + beta[2]*X[:,1]*X[:,2]](https://content.bartleby.com/qna-images/question/f7164ca2-2213-453c-9a19-73476c4b61e5/10800a46-823e-46f0-95e7-74dc59db3364/sorep9r_thumbnail.png)
Transcribed Image Text:Python broadcasting. Rewrite the following code without for-loops using vectorization
and python broadcasting.
(a) Given a data matrix X and vector beta compute a vector yhat:
n = X. shape [0]
yhat = np.zeros(n)
for i in range(n):
yhat [i] = beta [0]*X[i, 0] + beta[1]*X[i,1] + beta[2]*X[i, 1]*X[i,2]
yhat
beta[0]*X[: ,0] + beta[1]*X[:,1] + beta[2]*X[:,1]*X[:,2]
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