5. Write a function logisticClassify that takes in the m feature values for the n data...

 

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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 was 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: class Labels 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 was 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: class Labels logisticClassify (x, w)

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