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Obtain all the indexes with labels equal 2 with np.where and the label array y. Keep the results in two_class_idx also index np.where() at 0

Obtain all the indexes with labels equal 2 with np.where and the label array y. Keep the results in two_class_idx also index np.where() at 0

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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TODO 1

  1. Obtain all the indexes with labels equal 2 with np.where and the label array y. Keep the results in two_class_idx also index np.where() at 0
# TODO 1.1
two_class_idx =

print(f"two_class_idx output: \n {two_class_idx}")
try:
print(f"two_class_idx shape: {two_class_idx.shape}")
except Exception:
pass

todo_check([
(isinstance(two_class_idx, np.ndarray),f'two_class_idx is not an NumPy array! two_class_idx is currently a {type(two_class_idx)}'),
(np.all(two_class_idx == np.array([3,9,11,12,16])),'two_class_idx does not contain the correct location values')
])
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