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Questions assignment 4 #12
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Thanks for fast reply!
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Thanks again. I know now everything about the Numpy part. |
That's because two classes case is easy to visualize. |
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I have 2 questions for the 4th assignment:
In the Intro to Numpy part there is stated: "For every problem provide examples of their usage." Does it pertain to the all the tasks from 1 to 14?
Mikhail, could you clarify what is meant by "Train your perceptron and report the results." in exercise Perceptron? Are we supposed to implement the multi-label classifier from scratch? Or can we use a ready implementation, such as sklearn.linear_model.Perceptron?
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