The Complete Hinge Loss

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Now it's time to implement the complete hinge loss for a full set of data. Your input will be a full feature matrix this time, and you will have a vector of corresponding labels. The kth row of the feature matrix corresponds to the kth element of the labels vector. This function should return the appropriate loss of the classifier on the given dataset.

Available Functions: You have access to the NumPy python library as np, and your previous function as hinge_loss_single

Kindly give the correct solution to this....