5. Write a function logisticClassify that takes in the m feature values for the n data points as a np-array with dimensions (n,m) and the weight vector w as a np-array with dimension (m+1) (with b as the final element of w). The function returns the 0/1 label for each data point as a np-array of dimension (n). Use the following syntax: classLabels=logisticClassify(x,w)
5. Write a function logisticClassify that takes in the m feature values for the n data points as a np-array with dimensions (n,m) and the weight vector w as a np-array with dimension (m+1) (with b as the final element of w). The function returns the 0/1 label for each data point as a np-array of dimension (n). Use the following syntax: classLabels=logisticClassify(x,w)
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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